Technomedia Journal
type: channel
description: Jurnal online yang disediakan sebagai fasilitas bagi setiap anggota komunitas iLearning (terbuka) sebagai media untuk mempublikasikan temuan atau penelitiannya secara mudah dan tanpa biaya melalui media online. Technomedia Journal (TMJ) sudah mendapatkan 18 (delapan belas) indeksasi. Sudah di index DOI melalui Crossref : 10.33050/tmj. Mitra Bestari yang dimiliki oleh Technomedia Journal (TMJ) pun merupakan terbaik. Serta kemudahan akses internet dan ketersediaan perangkat teknologi informasi, kini lebih mudah membaca jurnal dalam format elektronik karena bisa diakses dimanapun dengan koneksi internet sehingga mudah mendapatkannya. Telah terindeks di Sertifikat Indeksasi DRJI - Technomedia Journal (TMJ) Technomedia Journal (TMJ), P-ISSN: 2620-3383 | E-ISSN: 2528-6544 This work is licensed under a Creative Commons Attribution 4.0 International License.
publisher: Pandawan Incorporation, Alphabet Incubator Universitas Raharja
language: en
publication name: Technomedia Journal
issn: 2620-3383
items: AI Agent Based Service Innovation to Enhance Efficiencyand User Experience
items: Opinion Mining for Customer Satisfaction in Culinarypreneur Ventures Using Naive Bayes
items: Software Based Geotechnical Analysis of Spillway Slope Reinforcement
items: Cost Decision Making Using Activity-Based Costing Approach in Digital Information Systems
items: Sustainable Digital Business Model Innovation through Learning Factory and AI
items: Digital Leadership Strategy for Technology-Driven Sustainable Business Transformation
items: The Role of RDI and Technology Emphasis on Operation and Sales Performance that Implies Financial Performance
items: Gen Z’s Motivations and Expectations for Digital Game Development in Indonesia
items: Digital Based Estimation of Residential Property Losses from Liquefaction in West Jakarta
items: Analysis of Risk Factors of HPS in Goods and Services Procurement for Jakarta Property Projects
items: Reinterpreting Brand Experience Stimuli through Virtual Space Avatars and Metaverse Co-Creation
items: Web-Based Personal Finance Management Application with Interactive Data Visualization
items: Sustainable Practices in Learning Factories Technology for SDG4
items: AI-Driven Makeup Suggestions Leveraging Mediapipe Face Landmarks For Eye Shape Detection
items: Digital Transformation in Library Recommendation System Using k-NN Collaborative Filtering
items: Implementasi CNN dan MediaPipe dalam Peningkatan Efektivitas Stretching pada Olahraga Futsal
items: Designing a Subsurface Oil and Gas GUI Dashboard Using Design Thinking
items: Evaluasi Keberhasilan Implementasi Sistem Informasi Manajemen Proyek dalam Meningkatkan Efektivitas Tim Kerja
items: Pengaruh Metode Waterfall dalam Penyempurnaan Proses Pengembangan Sistem Informasi Akademik secara Sistematis
items: Rancang Bangun Aplikasi Penerimaan Beasiswa Nahdlatul Ulama Scholarship (NUS) Oleh Lakpesdam PBNU
items: Penerapan Algoritma K-Means Clustering Dalam Pengelompokkan Kepadatan Penduduk
items: Integration of Business Intelligence and Predictive Analytics for Student Success Based on Blockchain
items: Utilizing Generative AI Models in Architectural Design An Innovative Approach
items: Analisis Sentimen Saran Pengguna Mandatory E-Learning Menggunakan Text Mining pada Learning Management System
items: Optimalisasi Pemutusan Hubungan Kerja Implementasi Personal Extreme Programming dan Evaluasi EUCS PIECES
items: The Influence of User Generated Content, Brand Image, and Hedonic Value on Purchase Interest in Salted Egg Milea Products
items: Sistem Informasi Pengelolaan Sampah Kabupaten Bantul Berbasis Website Menggunakan Model Modified Waterfall
items: Digitalization of Legal Information Management in Primary Schools Based on the JDIH Application
items: Analisis Penggunaan Media Pembelajaran Berbasis Aplikasi Google untuk Meningkatkan Literasi Digital Siswa Sekolah Dasar di Boyolali
items: Enterprise Architecture Modeling Using Togaf Standards at SPBE Parigi Moutong Regency

AI Agent Based Service Innovation to Enhance Efficiencyand User Experience
type: item
description: The innovation of services based on Artificial Intelligence (AI) Agent has become a key strategy in improving operational efficiency, service quality, and user experience across various digital business sectors. AI Agent, utilizing natural language processing, machine learning, and realtime data analysis, can automate service processes that previously required manual interaction, such as customer responses, recommendations, and processing complex information. This study aims to analyze how the application of AI Agent can accelerate service responses, improve information accuracy, and create more personalized interactions for users. The research method used is a literature review from reputable journals, academic books, and industry reports, which are then analyzed descriptively to identify the adoption patterns of AI Agent across various digital platforms such as e-commerce, financial services, education, and creative industries. The results of the literature synthesis show that AI Agent can reduce operational workload by up to 40%, accelerate service response time by up to 60%, and enhance user satisfaction through adaptive interactions tailored to individual preferences and behaviors. Additionally, the implementation of AI Agent also proves to improve service consistency, expand operational scalability, and reduce the risk of human error in service processes. These findings emphasize that the integration of AI Agent not only enhances the efficiency and effective- ness of digital business processes but also plays a key role in creating strategic innovation, strengthening competitiveness, and building a more responsive and valuable service experience for users in the digital era.
subject: Artikel
  topic: section
subject: AI Agent
  topic: keywords
subject: Digital Service
  topic: keywords
subject: Operational Efficiency
  topic: keywords
subject: User Experience
  topic: keywords
subject: Digital Transformation
  topic: keywords
creator: Dwi Cahyono
creator: Hanung Eka Atmaja
creator: Henry Zainarthur
rights: Copyright (c) 2026 Dwi Cahyono, Hanung Eka Atmaja, Henry Zainarthur https://creativecommons.org/licenses/by/4.0/
date: 2026-01-19
publication date: 2026-01-19
starting page: 146
ending page: 156
doi: 10.33050/bw4vra55

Opinion Mining for Customer Satisfaction in Culinarypreneur Ventures Using Naive Bayes
type: item
description: Examining consumer evaluations of food on social media provides relevant in- formation for anyone searching, especially immigrants and tourists. This infor- mation is also highly valuable for food stall owners and restaurant managers be- cause it helps them improve the quality of the food they serve based on customer feedback. However, sentiment analysis of food reviews often faces challenges due to inadequate data preprocessing, which leads to low classification accuracy. This study aims to improve sentiment recognition accuracy in food reviews by optimizing the feature attribute selection process in the classification model. The classification model employed in this research is Naive Bayes (NB), enhanced through a hybrid feature selection approach that combines the information gain (IG) algorithm and the genetic algorithm (GA). This combination is designed to maximize the selection of the most relevant feature attributes, thereby improving the model’s ability to identify positive, negative, and neutral sentiments in con- sumer food reviews on social media. The experimental results show that the hybrid IG-GA model achieved the highest accuracy rate of 93%, outperform- ing models that use individual algorithms. These findings demonstrate that the hybrid feature selection method effectively enhances the sentiment analysis performance of the Naive Bayes model. This study contributes to the develop- ment of food recommendation systems, the improvement of service strategies for culinary businesses, and supports the achievement of SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure).
subject: Artikel
  topic: section
subject: Sentiment Analysis
  topic: keywords
subject: Naive Bayes
  topic: keywords
subject: Information Gain (IG)
  topic: keywords
subject: Decision Tree
  topic: keywords
subject: Genetic Algorithm
  topic: keywords
creator: Hadi Cahyadi
creator: Sri Rahayu
creator: Noah Rangi
rights: Copyright (c) 2025 Hadi Cahyadi, Sri Rahayu, Noah Rangi https://creativecommons.org/licenses/by/4.0/
date: 2025-11-05
publication date: 2025-11-05
starting page: 79
ending page: 92
doi: 10.33050/5mqgtb60

Software Based Geotechnical Analysis of Spillway Slope Reinforcement
type: item
description: The construction of large-scale infrastructure such as dams requires precise planning and implementation to ensure structural stability and long-term operational safety. This study aims to analyze slope protection and embankment reinforcement at the spillway excavation area of the Dam Project in Surian District, located in the 137 km-long Cipunagara River Basin. A quantitative approach was applied, using geotechnical modeling software Plaxis 8.6 and Microsoft Excel for data processing. Three slope reinforcement methods were compared: geomat, shotcrete, and cocomesh. Based on the analysis, slope reinforcement using shotcrete achieved the highest safety factor, with short-term SF = 1.649 (34.50% increase) and long-term SF = 1.514 (23.49% increase). Geomat ranked second with SF = 1.544 (25.94%) and 1.418 (15.66%), while cocomesh obtained SF = 1.540 (25.61%) and 1.355 (10.52%). The unreinforced slope had an SF of 1.226. In terms of cost, shotcrete was the most expensive at IDR 4,331,068,967.23, followed by geomat (IDR 2,734,025,024.50) and cocomesh (IDR 906,745,000.00). However, shotcrete also required the longest construction time (30 days) compared to geomat (20 days) and cocomesh (16 days). Shotcrete provides the best technical performance for slope stability, but geomat and cocomesh are more efficient alternatives in terms of cost and time, offering a balanced solution for slope reinforcement projects.
subject: Artikel
  topic: section
subject: Slope Stability
  topic: keywords
subject: Reinforcement
  topic: keywords
subject: Cost
  topic: keywords
subject: Time
  topic: keywords
creator: Ikhsan Fabyanto
creator: Muhammad Zaki
creator: Darmawan Pontan
creator: Tulus Widiarso
rights: Copyright (c) 2025 Ikhsan Fabyanto, Muhammad Zaki, Darmawan Pontan, Tulus Widiarso https://creativecommons.org/licenses/by/4.0/
date: 2025-10-28
publication date: 2025-10-28
starting page: 15
ending page: 28
doi: 10.33050/tmj.v10i2.2479

Cost Decision Making Using Activity-Based Costing Approach in Digital Information Systems
type: item
description: This study aims to develop and apply the Activity-Based Costing (ABC) method in determining overhead costs in the rice processing industry at MGS Tanjung Selamat Rice Mill. Conventional methods often cause distortions in the allocation of overhead costs, which have an impact on the inaccuracy in the calculation of the cost of goods manufactured (COGS). To overcome this problem, this research uses a Research and Development (R&D) approach with a system development model based on the Waterfall method. Data were collected through observations, interviews, and documentation studies, which were then analyzed to identify the main production activities and the most influential cost drivers. The results showed that the ABC method was able to improve the accuracy of overhead cost calculation, optimize cost allocation to each production activity, and support more strategic business decision-making. In addition, this research produced a software-based system to facilitate the implementation of the ABC method in the company. With the implementation of ABC, MGS Tanjung Selamat Rice Mill can set a more competitive selling price and identify less efficient activities to be improved.
subject: Artikel
  topic: section
subject: Activity-Based Costing
  topic: keywords
subject: Cost Management
  topic: keywords
subject: Overhead Costs
  topic: keywords
subject: Cost of Goods Manufactured
  topic: keywords
subject: Business Decisions
  topic: keywords
creator: Imam Zarkasih Harahap
creator: Muhammad Dedi Irawan
creator: Adele Valerry
rights: Copyright (c) 2025 Imam Zarkasih Harahap, Muhammad Dedi Irawan, Adele Valerry https://creativecommons.org/licenses/by/4.0/
date: 2025-10-20
publication date: 2025-10-20
starting page: 1
ending page: 14
doi: 10.33050/tmj.v10i2.2480

Sustainable Digital Business Model Innovation through Learning Factory and AI
type: item
description: The digital era compels organizations to continuously innovate in creating sustainable digital business models that integrate technology, human resources, and environmental sustainability. Within this transformation, the Learning Factory emerges as an innovative concept that connects theoretical learning with practical application, enabling students and industry practitioners to co-create solutions through real-world, technology-based projects. Simultaneously, Artificial Intelligence (AI) enhances analytical, predictive, and adaptive capabilities, driving efficiency, innovation, and data-driven decision-making across organizational processes. This study aims to explore the synergy between Learning Factory and AI as a strategic driver of innovation in competitive and sustainable digital business models aligned with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure). Through a qualitative methodology combining literature review and case study analysis of technology-based organizations and higher education institutions implementing the Learning Factory framework, the research identifies how AI integration strengthens learning outcomes, accelerates digital transformation, and promotes sustainability-driven innovation. The findings reveal that this synergy fosters adaptability, enhances human resource competencies, and generates economic, social, and environmental value. Furthermore, it encourages universities and industries to co-develop agile ecosystems that nurture startupreneurship, continuous learning, and inclusive innovation. Ultimately, this study provides strategic recommendations for designing adaptive, competitive, and sustainable digital business models that empower human potential while advancing organizational resilience in the era of rapid technological disruption.
subject: Artikel
  topic: section
subject: Learning Factory
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Digital Business Model
  topic: keywords
subject: Sustainability
  topic: keywords
subject: SDGs
  topic: keywords
creator: Nur Azizah
creator: Ruli Supriati
creator: Padeli Padeli
creator: Mulyati Mulyati
creator: Desy Apriani
creator: Nahlie Fae
rights: Copyright (c) 2025 Nur Azizah, Ruli Supriati, Padeli Padeli, Mulyati Mulyati, Desy Apriani, Nahlie Fae https://creativecommons.org/licenses/by/4.0/
date: 2025-10-31
publication date: 2025-10-31
starting page: 29
ending page: 40
doi: 10.33050/tmj.v10i2.2553

Digital Leadership Strategy for Technology-Driven Sustainable Business Transformation
type: item
description: The digital era demands organizations to adapt through sustainable business transformation that combines technological innovation and sustainability values. Digital leadership plays a crucial role in building an adaptive culture, driving innovation, and utilizing technology as a business strategy. This study aims to explore digital leadership strategies in supporting technology-driven business transformation aligned with the Sustainable Development Goals (SDGs). The method used is a literature review and case study analysis of leading companies like Amazon, Tesla, and Gojek that have successfully undergone digital transformation. The focus of the research includes leadership vision, the utilization of technologies such as Artificial Intelligence (AI), Big Data, and IoT, as well as the integration of sustainability principles through the Environmental, Social, and Governance (ESG) framework. The findings show that a clear vision, mastery of technology, and commitment to sustainability are key factors for successful transformation, while also providing strategic insights for organizations in formulating relevant, competitive, and sustainable digital strategies. In order to achieve SDG goals, this study also highlights the importance of cross-sector collaboration and the use of technology to create positive social impacts.
subject: Artikel
  topic: section
subject: Digital Leadership
  topic: keywords
subject: Business Transformation
  topic: keywords
subject: Technology
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
creator: Po Abas Sunarya
creator: Untung Rahardja
creator: Muhamad Yusup
creator: Mardiana Mardiana
creator: Meri Mayang Sari
creator: ⁠Abdullah Arif Kamal
rights: Copyright (c) 2025 Po Abas Sunarya, Untung Rahardja, Muhamad Yusup, Mardiana Mardiana, Meri Mayang Sari, ⁠Abdullah Arif Kamal https://creativecommons.org/licenses/by/4.0/
date: 2025-10-31
publication date: 2025-10-31
starting page: 67
ending page: 78
doi: 10.33050/tmj.v10i2.2552

The Role of RDI and Technology Emphasis on Operation and Sales Performance that Implies Financial Performance
type: item
description: Competition among companies, particularly in the technology and telecommunications sectors, demands a high level of innovation to meet consumer needs. The use of advanced technology and investment in research and development (R&D) are expected to be key factors in creating a competitive advantage amid intense business competition. The use of narratives in corporate reports is also expected to build a positive image among stakeholders, foster trust, and attract market attention. This study aims to examine the effect of R&D intensity and technology emphasis on financial performance through the mediation of operational and sales performance in technology and telecommunications companies. The research gap identified is the limited number of studies related to R&D in technology and telecommunications companies, especially those utilizing a content analysis approach. The research uses panel data and is conducted on three technology and telecommunications companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The samples were selected using a purposive sampling method. The results show that technology emphasis and operational performance have a significant influence on a company’s financial performance, while the relationships among other variables were found to be insignificant. Therefore, companies are encouraged to strengthen their technology emphasis and operational efficiency to enhance productivity and improve financial performance.
subject: Artikel
  topic: section
subject: Financial Performance
  topic: keywords
subject: Operation Performance
  topic: keywords
subject: Technology
  topic: keywords
subject: ROA
  topic: keywords
subject: Technology Emphasis
  topic: keywords
creator: Maleakhi Fernandes
creator: Prio Utomo
creator: Sri Purwanto
rights: Copyright (c) 2025 Maleakhi Fernandes, Prio Utomo, Sri Purwanto https://creativecommons.org/licenses/by/4.0/
date: 2025-10-31
publication date: 2025-10-31
starting page: 120
ending page: 133
doi: 10.33050/tmj.v10i2.2528

Gen Z’s Motivations and Expectations for Digital Game Development in Indonesia
type: item
description: The rapid growth of Indonesia’s digital economy positions the gaming industry as a key driver of innovation and sustainable engagement. This study analyzes the motivations and expectations of Gen-Z in playing video games and examines how tech driven innovation including Artificial Intelligence (AI) and Internet of Things (IoT) enhances user experience and digital sustainability. Using an exploratory sequential design, the research combines qualitative exploration with quantitative correlation analysis through SPSS software. The results reveal that achievement motivation significantly correlates with expectations for rewards, exploration, and skill development; escapism motivation relates to expectations of immersive experiences; and social motivation correlates with expectations for interactive and emotionally engaging features. These relationships highlight how Gen-Z values both personal accomplishment and meaningful digital interaction. The findings demonstrate that Gen-Z’s gaming behavior is not solely for entertainment but also represents technology-enabled engagement supporting sustainable digital ecosystems. The study offers strategic insights for game developers, educators, and policymakers to leverage technology in fostering creativity, collaboration, and growth aligned with SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure).
subject: Artikel
  topic: section
subject: Tech-Driven Innovation
  topic: keywords
subject: Gen-Z Motivation
  topic: keywords
subject: Digital Sustainability
  topic: keywords
subject: Gaming Industry
  topic: keywords
subject: AI-Based Engagement
  topic: keywords
creator: Tony Wibowo
creator: Mega Hardianti Kho
creator: Dennis Sidartha Tan
creator: Li Cen
rights: Copyright (c) 2025 Tony Wibowo, Mega Hardianti Kho, Dennis Sidartha Tan, Li Cen https://creativecommons.org/licenses/by/4.0/
date: 2025-10-31
publication date: 2025-10-31
starting page: 41
ending page: 54
doi: 10.33050/tmj.v10i2.2510

Digital Based Estimation of Residential Property Losses from Liquefaction in West Jakarta
type: item
description: Liquefaction poses a significant threat to urban areas with water-saturated alluvial soils, especially in seismically active zones like West Jakarta. Using Cone Penetration Test (CPT) data from 25 locations, soil susceptibility was evaluated through Cyclic Stress Ratio (CSR), Cyclic Resistance Ratio (CRR), and Magnitude Scaling Factor (MSF). Areas with safety factor (FS) values below 1 were identified as having high liquefaction potential. Residential buildings were categorized by floor area and assessed using the 2024 Government Property Sales Value (NJOP) to estimate potential financial loss. Structural damage percentages were determined using seismic intensity thresholds and empirical damage functions. Analysis showed that residential areas with moderate to loose soil conditions, particularly in the northern and western zones, are most vulnerable. The total estimated loss reached IDR 189.8 billion, with the highest concentration of damage in medium and large sized residential properties. These findings emphasize the critical need to integrate geotechnical parameters into spatial risk mapping and urban disaster mitigation planning. A digital loss estimation model combining soil characteristics, seismic parameters, and economic valuation provides a scalable approach for early warning systems and resilience-oriented urban planning. The study contributes to data-driven risk management strategies aligned with sustainable development objectives and adaptive infrastructure policies.
subject: Artikel
  topic: section
subject: Liquefaction
  topic: keywords
subject: Magnitude
  topic: keywords
subject: Loss
  topic: keywords
subject: N-SPT
  topic: keywords
subject: Seismic
  topic: keywords
creator: Indah Maryati
creator: Muhammad Zaki
creator: Darmawan Pontan
creator: Tulus Widiarso
rights: Copyright (c) 2025 Indah Maryati, Muhammad Zaki, Darmawan Pontan, Tulus Widiarso https://creativecommons.org/licenses/by/4.0/
date: 2025-10-31
publication date: 2025-10-31
starting page: 106
ending page: 119
doi: 10.33050/tmj.v10i2.2500

Analysis of Risk Factors of HPS in Goods and Services Procurement for Jakarta Property Projects
type: item
description: The procurement of goods and services for property projects in Jakarta faces various challenges, primarily due to inaccuracies in the Self-Estimated Price (HPS), which lead to significant risks in cost, time, and quality. This study seeks to identify the dominant risk factors caused by HPS inaccuracies and propose effective strategies to mitigate their impact on property project procurement. The research uses the Analytical Hierarchy Process (AHP) method, with 54 respondents involved, to evaluate three key risk categories: cost, time, and quality, based on the effects of HPS inaccuracies. The study finds that these inaccuracies undermine budget efficiency, cause delays in procurement processes, and negatively impact the quality of goods or services received. Cost-related risks include document instability and unforeseen expenses, while time-related risks involve delays and frequent revisions of the HPS. Quality-related risks stem from the use of substandard materials and the failure to meet project specifications. To mitigate these risks, the study proposes updating the HPS with up-to-date market data, conducting regular price surveys, enhancing the skills of procurement teams, adopting digital technologies such as e-procurement systems, and improving supplier selection processes. These strategies aim to improve procurement efficiency, enhance project quality, and ensure cost-effectiveness, ultimately leading to better project outcomes.
subject: Artikel
  topic: section
creator: Iswara Gandhi
creator: Darmawan Pontan
creator: Inavonna Inavonna
creator: Lili Kusumawati
rights: Copyright (c) 2025 Iswara Gandhi, Darmawan Pontan, Inavonna Inavonna, Lili Kusumawati https://creativecommons.org/licenses/by/4.0/
date: 2025-06-30
publication date: 2025-06-30
starting page: 121
ending page: 134
doi: 10.33050/tmj.v10i1.2459

Reinterpreting Brand Experience Stimuli through Virtual Space Avatars and Metaverse Co-Creation
type: item
description: The transformation of digital spaces into three-dimensional virtual ecosystems, widely known as the metaverse, has fundamentally reshaped the paradigm of brand experience from traditional visual narrative communication into participatory, immersive, and multisensory engagement. This study aims to reinterpret and extend the conventional understanding of brand experience by identifying the key stimuli that shape user interactions within virtual environments. Employing a qualitative exploratory approach based on the AEIOU framework (Activities, Environments, Interactions, Objects, and Users) and reflective thematic analysis, the research examined eight major metaverse platforms across five categories: game-based, social playground, VR-based, NFT-based, and event-based. The analysis revealed five primary dimensions that collectively construct brand experience in the metaverse: immersive presence, virtual space, avatar-mediated interaction, personalized virtual goods, and dynamic co-creation. These dimensions redefine the brand experience from a stimulus–response perspective into a participatory, socially driven relationship in which users actively co-create meaning, identity, and value with brands. The findings highlight how digital stimuli and multisensory interactions within metaverse spaces foster emotional attachment and brand engagement, offering both conceptual and managerial implications. From a theoretical standpoint, this research provides an initial framework for understanding brand experience in immersive digital environments, while practically, it guides marketers and brand strategists to design interactive, personalized, and community-oriented branding initiatives. Ultimately, the study opens new opportunities for future research to empirically examine the link between metaverse-based experiences, user perception, and brand outcomes such as trust, attachment, and loyalty within the evolving digital ecosystem.
subject: Artikel
  topic: section
subject: Metaverse
  topic: keywords
subject: Brand Experience
  topic: keywords
subject: Cyberspace
  topic: keywords
subject: Immersive Media
  topic: keywords
creator: Caesar Achmad Firjaun Faqih Aziz
creator: Banung Grahita
rights: Copyright (c) 2025 Caesar Achmad Firjaun Faqih Aziz, Banung Grahita https://creativecommons.org/licenses/by/4.0/
date: 2025-10-31
publication date: 2025-10-31
starting page: 93
ending page: 105
doi: 10.33050/tmj.v10i2.2476

Web-Based Personal Finance Management Application with Interactive Data Visualization
type: item
description: Personal financial management plays a crucial role in achieving financial stability and ensuring effective control over individual finances. With the advancement of technology, more individuals are turning to digital solutions to manage their financial data more efficiently. This research focuses on the development of a web-based personal financial management application equipped with interactive data visualization tools, allowing users to easily track and analyze their income, expenses, and financial trends. Using the waterfall approach, this research includes the stages of design, development, testing, and implementation. The application is developed with Vue.js for the user interface and Highcharts for data visualization. Testing results show that the application effectively helps users understand their financial patterns and provides useful insights for financial decision-making. The testing results also indicate that the application makes it easier for users to plan their budget, identify unhealthy spending habits, and offer recommendations for savings. This application offers a more efficient solution compared to manual methods or traditional applications that only provide raw data without visual analysis. The conclusion of this research is that the developed application provides a practical and intuitive solution for personal financial management. The application helps users plan their finances wisely and make smarter decisions, thus improving financial literacy and supporting the achievement of their long-term financial goals. As a future development step, it is recommended to integrate machine learning and blockchain technology to enhance data security and transaction transparency.
subject: Artikel
  topic: section
creator: Muhammad Wildan Jaffar Rahmatullah
creator: Nanda Nur Oktavia
creator: Lucas Lawrence
rights: Copyright (c) 2025 Muhammad Wildan Jaffar Rahmatullah, Nanda Nur Oktavia, Lucas Lawrence https://creativecommons.org/licenses/by/4.0/
date: 2025-06-28
publication date: 2025-06-28
starting page: 67
ending page: 78
doi: 10.33050/tmj.v10i1.2382

Sustainable Practices in Learning Factories Technology for SDG4
type: item
description: Learning factories serve as innovative platforms to promote sustainable education by integrating advanced technologies, contributing directly to achieving Sustainable Development Goal 4 (SDG4), which focuses on ensuring inclusive and equitable quality education and lifelong learning opportunities for all. This study investigates the application of sustainable practices in learning factories, aiming to identify technological innovations that enhance education while promoting resource efficiency and accessibility. The objective of this research is to explore how these technologies can address educational challenges and contribute to sustainable development. Employing a mixed-methods approach, this research combines in-depth qualitative case studies of learning factories with quantitative data from surveys and interviews conducted with educators, students, and industry stakeholders. The findingsreveal that implementing technologies such as automation, virtual and augmented reality, and digital twins improves learning outcomes by providing immersive, hands-on experiences while minimizing environmental impacts. Additionally, the results highlight the importance of fostering partnerships between academic institutions and industries to create a collaborative ecosystem for sustainable innovation. The conclusion emphasizes the transformative role of learning factories in advancing sustainable education through technology, suggesting that broader adoption of these practices can accelerate progress toward SDG4. This study offers practical recommendations for educators, policymakers, and industry leaders to integrate technology-driven sustainability in educational environments, thus supporting global efforts toward equitable and quality education.
subject: Artikel
  topic: section
creator: Po Abas Sunarya
creator: Sendy Zul Friandi
creator: Nuke Puji Lestari Santoso
creator: Maulana Abbas
creator: Zanele Xolani
rights: Copyright (c) 2025 Maulana Abbas, Po Abas Sunarya, Sendy Zul Friandi, Nuke Puji Lestari Santoso, Zanele Xolani https://creativecommons.org/licenses/by/4.0/
date: 2025-06-29
publication date: 2025-06-29
starting page: 93
ending page: 106
doi: 10.33050/tmj.v10i1.2466

AI-Driven Makeup Suggestions Leveraging Mediapipe Face Landmarks For Eye Shape Detection
type: item
description: In the world of beauty, makeup is not only a form of self expression but also a creative skill that requires precision and an understanding of facial structures. Among all facial features, the eyes play a crucial role in defining makeup styles. Each individual has unique eye shapes such as round, monolid, upturned, almond, and downturned, which require different makeup techniques to enhance their appearance. However, many individuals struggle to identify their eye shape, leading to suboptimal makeup results. This research aims to develop an intelligent system for eye shape classification using image processing and artificial intelligence technologies. MediaPipe, a robust and lightweight framework for facial landmark detection, was employed to extract key features from the eye region, including Eye Aspect Ratio (EAR), Eye Corner (angle), and Eye Distance. A total of 1,250 images were used from various datasets including personal archives, Kaggle, and GitHub MUCT. The classification process used a Support Vector Machine (SVM) with a non-linear RBF kernel, and its performance was validated using K-Fold Cross Validation with 10 folds. The system demonstrated high accuracy for almond, downturned, monolid, and round eyes. However, classification for upturned eyes showed less optimal results, likely due to limitations in the current feature set. This study also introduces an integrated open camera interface that detects eye shape in real time and recommends suitable eye makeup styles. This research contributes to inclusive beauty technology by providing personalized makeup suggestions based on eye shape, aligning with SDG 5 (Gender Equality) and SDG 9 (Industry, Innovation, and Infrastructure). Future work will focus on improving accuracy, particularly for upturned eye classification.
subject: Artikel
  topic: section
creator: Faustin Devanda
creator: Handri Santoso
rights: Copyright (c) 2025 Faustin Devanda, Handri Santoso https://creativecommons.org/licenses/by/4.0/
date: 2025-06-25
publication date: 2025-06-25
starting page: 40
ending page: 53
doi: 10.33050/tmj.v10i1.2316

Digital Transformation in Library Recommendation System Using k-NN Collaborative Filtering
type: item
description: Libraries, as essential information centers, play a crucial role in providing diverse resources to meet the information needs of visitors. In the digital age, libraries face challenges in efficiently managing their vast collections while offering personalized services that cater to the varying needs of users. The primary goal of this research is to improve the management of library resources by developing a personalized book recommendation system. This system aims to provide relevant book suggestions based on individual preferences, specifically tailored to the academic needs and interests of university students. To achieve this, the research applies a combination of User-Based Collaborative Filtering (UBCF) and k-Nearest Neighbors (k-NN) algorithms, which are powerful techniques in the field of data mining. These methods are used to analyze the academic performance (measured by the students' Indeks Prestasi Semester (IPS) scores) and book preferences to create a personalized recommendation system. The study demonstrates that the integration of UBCF and k-NN significantly enhances the accuracy and relevance of book recommendations, providing students with more tailored suggestions based on their academic achievements and preferences. The results indicate that such a recommendation system not only improves the user experience but also contributes to the enhancement of students' academic performance by offering them books that align with their learning needs, ultimately supporting the academic goals of higher education institutions.
subject: Artikel
  topic: section
creator: Ahnaf Febriyan Fachri
creator: Muhammad Faisal
creator: Cahyo Crysdian
rights: Copyright (c) 2025 Ahnaf Febriyan Fachri, Muhammad Faisal, Cahyo Crysdian https://creativecommons.org/licenses/by/4.0/
date: 2025-06-18
publication date: 2025-06-18
starting page: 12
ending page: 25
doi: 10.33050/tmj.v10i1.2438

Implementasi CNN dan MediaPipe dalam Peningkatan Efektivitas Stretching pada Olahraga Futsal
type: item
description: This study aims to develop an effective Convolutional Neural Network (CNN) model in recognizing stretching movements that are often performed by futsal players, with the aim of reducing the risk of injury. The dataset used consists of 3000 images covering five types of movements: High Knees, Jumping Jacks, Lunge, Side Lunge, and Butt Kicks. The data was taken from YouTube videos and processed to produce landmarks through MediaPipe technology. The CNN model was trained using the ”Adam” optimizer, with 50 epochs, a batch size of 8, and a learning rate of 0.001. The training results showed an accuracy of 94%, with the best performance on the Lunge and Jumping Jack movements, and adequate performance on other movements. The implementation of this model allows real-time monitoring of stretching movements, provides direct feedback to users, and helps futsal players in stretching with the right technique to avoid injury. This study shows that the CNN-based approach for stretching motion recognition in futsal is effective and reliable. Further research is suggested to increase the amount of training data and explore different model architectures to strengthen the model’s generalization.
subject: Artikel
  topic: section
creator: Vito Jericho
creator: Theresia Herlina Rochadiani
rights: Copyright (c) 2025 Vito Jericho, Theresia Herlina Rochadiani https://creativecommons.org/licenses/by/4.0/
date: 2025-02-23
publication date: 2025-02-23
starting page: 386
ending page: 397
doi: 10.33050/tmj.v9i3.2294

Designing a Subsurface Oil and Gas GUI Dashboard Using Design Thinking
type: item
description: Oil and gas companies are currently facing increasingly significant production declines, requiring detailed, accurate and fast subsurface analysis. However, the complexity of large and scattered data, as well as the use of various non-integrated software, are obstacles that cause difficulties and long and inefficient analysis times. Therefore, this study aims to design an intuitive graphical user interface (GUI) dashboard to speed up and facilitate the process as part of the technology management of one of the oil and gas companies in Indonesia. The design thinking and new product development approaches are used to design the system. Qualitative methods are carried out through in-depth interviews, field observations, and surveys to identify user needs and build a subsurface dashboard GUI system, while quantitative methods are used to analyze multi-matrices from the House of Quality (HoQ) and evaluate the intuitiveness and usability of the prototype with the System Usability Scale (SUS) instrument. The analysis was carried out using user personas, customer journey maps, and HoQ to determine the main features. The results of the study indicate that visual graphics, seismic maps and cross-sections, customization, and data management are priority features in the subsurface dashboard GUI system prototype. The SUS evaluation shows that the system is intuitive, user-friendly, and can support work efficiency, as well as suit user needs.
subject: Artikel
  topic: section
creator: Muhammad Ardhyan Jannatan
creator: Niniek Fajar Puspita
creator: Jani Rahardjo
creator: Muhammad Rizky Harun
rights: Copyright (c) 2025 Muhammad Ardhyan Jannatan, Niniek Fajar Puspita, Jani Rahardjo https://creativecommons.org/licenses/by/4.0/
date: 2025-06-23
publication date: 2025-06-23
starting page: 26
ending page: 39
doi: 10.33050/tmj.v10i1.2432

Evaluasi Keberhasilan Implementasi Sistem Informasi Manajemen Proyek dalam Meningkatkan Efektivitas Tim Kerja
type: item
description: This research aims to} evaluate the success of the implementation of the Project Management Information System (SIMP) in increasing the effectiveness of work teams, by utilizing key performance indicators (KPI) as a measuring tool. In the era of digitalization, the use of SIMP is increasingly widespread in various organizations to manage projects and optimize team collaboration. However, although many companies adopt SIMP, implementation results often vary, depending on the effectiveness of using the system in daily practice. The approach used in this research is quantitative descriptive, with data collection through questionnaire surveys to team members who have actively used SIMP in their work for a minimum of six months. Some of the main performance indicators evaluated include time efficiency, quality of work results, team satisfaction, and effectiveness of communication between team members. Data analysis was carried out descriptively to assess the performance of each indicator and identify roles SIMP in supporting overall team performance. The research results show that SIMP plays a significant role in increasing the efficiency of task completion times, improving the quality of project results by reducing errors, increasing team member satisfaction with better collaboration, and facilitating more effective communication between members. Based on these results, it is concluded that SIMP implementation is able to support the effectiveness of the work team as a whole, although there are challenges such as the need for initial adaptation and training. Recommendations are given that companies carry out regular training and system maintenance to ensure the continued effectiveness of SIMP use. It is hoped that this research will provide guidance for other organizations in evaluating and optimizing use SIMP at their workplace.
subject: Artikel
  topic: section
creator: Mohamad Rakhmansyah
creator: Richard Andre Sunarjo
creator: Ninda Lutfiani
creator: Dinda Putri Riskhandini
creator: Anjani Shepard
rights: Copyright (c) 2025 Mohamad Rakhmansyah, Richard Andre Sunarjo, Ninda Lutfiani, Dinda Putri Riskhandini, Anjani Shepard https://creativecommons.org/licenses/by/4.0/
date: 2025-02-28
publication date: 2025-02-28
starting page: 398
ending page: 407
doi: 10.33050/tmj.v9i3.2419

Pengaruh Metode Waterfall dalam Penyempurnaan Proses Pengembangan Sistem Informasi Akademik secara Sistematis
type: item
description: Academic information systems play a crucial role in supporting the operations of educational institutions, particularly in managing complex data. The main challenge in their development is ensuring that the process is structured, efficient, and aligned with user needs. The Waterfall method, as one of the sequential and systematic development approaches, is often used in information system development projects. However, its effectiveness in the context of academic information systems requires further analysis. This study aims to analyze the impact of the Waterfall method on improving the development process of academic information systems. The research focuses on three main aspects: time efficiency, cost, and the quality of the final output. Both quantitative and qualitative descriptive approaches were employed in this study. Data were collected through in-depth interviews with system developers, surveys of users (academic administration, lecturers, and students), and case studies at educational institutions using the Waterfall method. The results show that the Waterfall method provides a clear structure in the development process of academic information systems. This has a positive impact on time efficiency and the quality of the final output. However, the main drawback of this method is its lack of flexibility in addressing changing needs that often arise during the project. In conclusion, the Waterfall method is effective for academic information system development projects with stable and well-defined requirements. This study recommends exploring a hybrid approach, such as combining Waterfall with Agile, to improve responsiveness to changes in user needs in the future.
subject: Artikel
  topic: section
creator: Po Abas Sunarya
creator: Untung Rahardja
creator: Nuke Puji Lestari Santoso
creator: Mulyati
creator: Kenny Ilyas Mustofa
creator: Daniel Bennet
rights: Copyright (c) 2025 Po Abas Sunarya, Untung Rahardja, Nuke Puji Lestari Santoso, Mulyati, Kenny Ilyas Mustofa, Daniel Bennet https://creativecommons.org/licenses/by/4.0/
date: 2025-02-25
publication date: 2025-02-25
starting page: 360
ending page: 372
doi: 10.33050/tmj.v9i3.2421

Rancang Bangun Aplikasi Penerimaan Beasiswa Nahdlatul Ulama Scholarship (NUS) Oleh Lakpesdam PBNU
type: item
description: The Nahdlatul Ulama Scholarship (NUS) is a program designed to improve access to higher education by providing financial support to outstanding students. This initiative is managed by the Institute for Human Resources Study and Development of the Nahdlatul Ulama Executive Board (LAKPESDAM PBNU), which aims to contribute to creating a more skilled and educated Indonesian population, in line with the national goal of improving the Human Development Index (IPM). Recognizing the importance of affordable and inclusive education, this program aims to support students with exceptional potential who are dedicated to achieving academic excellence. This research proposes the development of a web-based scholarship application using the CodeIgniter 4 framework and SQL database to streamline the scholarship acceptance process. The application is designed to provide easy access for both administrators and applicants, enabling efficient data management and simplifying the scholarship application process. The main goal of this application is to simplify the scholarship acceptance process, improve data management efficiency, and enhance the accessibility of the application system. The system will include features that facilitate online application submission, data validation, and real-time status updates. In conclusion, this application aims to support the goals of the NUS program by offering an accessible, user-friendly platform that meets the demand for quality education while improving operational efficiency. The development of this application is expected to contribute to broader efforts to achieve these objectives.
subject: Artikel
  topic: section
creator: Muhammad Bachtyar Rosyadi
creator: Maulidina Rahmawati Surya
creator: Rismaya Nikmatul Putri
rights: Copyright (c) 2025 Muhammad Bachtyar Rosyadi, Maulidina Rahmawati Surya, Rismaya Nikmatul Putri https://creativecommons.org/licenses/by/4.0/
date: 2025-02-10
publication date: 2025-02-10
starting page: 321
ending page: 331
doi: 10.33050/tmj.v9i3.2312

Penerapan Algoritma K-Means Clustering Dalam Pengelompokkan Kepadatan Penduduk
type: item
description: Uneven population density will have a negative impact if not considered. One way to tackle this problem is with population equity management planning policies. This research focuses on clustering population density areas, which is the ratio between population and area in Central Sulawesi Province. This research clustering is applied with data mining techniques, namely K-Means Clustering. The research stages are data collection, data understanding, data processing, clustering, clustering review, dashboard analysis, and accuracy testing with the tableau application in providing visualization of population density in the region. Based on the results of the algorithm calculation, it produces three clusters, cluster 0 being low population density, cluster 1 being high population density, and cluster 2 being medium population density. Cluster formation is based on the visualization produced by the research dataset through Sum Of Square Error analysis, silhouette coefficient, and elbow method. Clustering is formed, followed by dashboard visualization with the tableau application. The clustering results, based on the SSE calculation, produce a value of 4324505738.747303, meaning the determination of the number of clusters with a significant difference with the calculation of the number of previous groupings. Then the results of the silhouette analysis provide the highest average silhouette value at the number of clusters, namely 3 with a value of 0.6144435666457168, and the elbow method gives the result that the elbow point is at point 3, meaning the optimum number of clusters with 3 clusters.
subject: Artikel
  topic: section
creator: Fenita Delia
creator: Hajra Rasmita Ngemba
creator: Syaiful Hendra
creator: Syahrullah Syahrullah
creator: Nouval Trezandy Lapatta
rights: Copyright (c) 2025 Fenita Delia, Hajra Rasmita Ngemba, Syaiful Hendra, Syahrullah Syahrullah, Nouval Trezandy Lapatta https://creativecommons.org/licenses/by/4.0/
date: 2025-02-21
publication date: 2025-02-21
starting page: 373
ending page: 385
doi: 10.33050/tmj.v9i3.2270

Integration of Business Intelligence and Predictive Analytics for Student Success Based on Blockchain
type: item
description: In the digital era, education is undergoing a significant transformation, with predictive analytics becoming an important approach to increasing student success. Rapid advancements in technology have enabled institutions to collect and analyze diverse datasets, yet challenges remain in ensuring data accuracy, transparency, and reliability. This research explores the integration of blockchain technology to address data integrity challenges, with a focus on its application in predictive analytics. The objective is to enhance the reliability of student-related data while improving the effectiveness of academic performance predictions. Specifically, this research examines the relationship between Academic Performance Metrics (APM), Student Engagement Data (SED), Socioeconomic Factors (SEF), Blockchain-Enabled Data Integrity (BDI), and Predictive Algorithm Efficiency (PAE). Using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, data were collected through structured surveys and institutional records involving higher education students. The constructs were validated through measurement model testing before proceeding to structural path analysis. The results show the significant influence of socio-economic factors and blockchain-based data integrity on academic outcomes, while student engagement and predictive algorithm efficiency also demonstrate moderate effects. The study also identifies areas that require improvement in predictive models, particularly regarding the alignment of input variables with algorithm design. These findings emphasize the importance of leveraging technology to develop more equitable and effective educational strategies, while underscoring the need for continued improvements in construct design to increase the reliability and validity of models. This research contributes to the growing field of educational data science by offering a blockchain-enhanced framework for predictive analytics in education.
subject: Artikel
  topic: section
creator: Untung Rahardja
creator: Mohamad Rakhmansyah
creator: Surta Wijaya
creator: Sheila Aulia Anjani
creator: Mary Davies
rights: Copyright (c) 2025 Untung Rahardja, Mohamad Rakhmansyah, Surta Wijaya, Sheila Aulia Anjani, Mary Davies https://creativecommons.org/licenses/by/4.0/
date: 2025-06-09
publication date: 2025-06-09
starting page: 1
ending page: 11
doi: 10.33050/tmj.v10i1.2389

Utilizing Generative AI Models in Architectural Design An Innovative Approach
type: item
description: In the context of modern architectural design that demands innovation, speed, and efficiency, the emergence of generative artificial intelligence (AI) introduces a new paradigm in the creative process. This technology enables architects to explore design ideas more rapidly and extensively through diffusion-based algorithms capable of producing complex architectural visuals in a short amount of time. This study aims to empirically evaluate the effectiveness and efficiency of generative AI models, particularly Stable Diffusion v2.1, in supporting the stages of ideation, sketching, and architectural modeling. The research employs both qualitative and quantitative approaches through a comparative experiment between manual design and AI-assisted design. Measurements were conducted using four main parameters: production time, visual complexity, rendering sharpness, and the number of design iterations. The results indicate that the generative AI model can accelerate production time by up to 35% greater efficiency compared to the manual method. Furthermore, the Visual Complexity Score (VCS) reached 8.5/10 for AI-generated designs and 6.2/10 for manual ones, with an increase in rendering resolution up to 450 PPI. However, limitations were observed in semantic interpretation and the model’s dependence on well-crafted prompts. This study concludes that the integration of generative AI in architectural design not only enhances the efficiency and effectiveness of the design process but also expands the creative potential of architects. The research contributes to the development of sustainable digital architecture and supports the achievement of SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities).
subject: Artikel
  topic: section
subject: AI Technology
  topic: keywords
subject: Architectural Design
  topic: keywords
subject: Stable Diffusion
  topic: keywords
subject: Design Process
  topic: keywords
subject: visual Complexity
  topic: keywords
creator: Yohana F. Cahya Palupi Meilani
creator: Rohim Rohim
creator: Achmad Rozi
creator: Richard Andre Sunarjo
creator: Kgomotso Moyo
rights: Copyright (c) 2025 Yohana F. Cahya Palupi Meilani, Rohim Rohim, Achmad Rozi, Richard Andre Sunarjo, Kgomotso Moyo https://creativecommons.org/licenses/by/4.0/
date: 2025-10-31
publication date: 2025-10-31
starting page: 55
ending page: 66
doi: 10.33050/wg15r798

Analisis Sentimen Saran Pengguna Mandatory E-Learning Menggunakan Text Mining pada Learning Management System
type: item
description: Mandatory E-learning is a required training for Ministry of Finance’s employees through Kemenkeu Learning Center (KLC) as LMS, where text-based recapitulation reports for participant’s feedback are not available due to large volume of participant’s evaluation data. Sentiment analysis using text mining is necessary to classify the feedback into positive, negative, and neutral labels, enabling the recapitulation process to be automated, faster, and more accurate. Using Knowledge Discovery in Databases (KDD) framework, the process involves data selection and manual labeling, text preprocessing (data cleansing, case folding, stop word removal, stemming, tokenizing, filtering tokens by length), data transformation (TF-IDF weighting, cosine similarity measurement, and resampling using random undersampling/RUS to reduce majority label). Modeling phase compares the best combination of algorithms covers Support Vector Machine (SVM), Multinomial Naïve Bayes, K-Nearest Neighbor (KNN), and Random Forest using a 90:10 training-to-testing data ratio. This research show that SVM with cosine similarity is the best algorithm scenario, achieving accuracy, precision, recall, and f1-score for negative label of 97.01\%, 96.22\%, 95.82\%, and 96.02\%, respectively, within 48.71 seconds, which \textbf{can be leveraged} to improve quality of e-learning’s report faster, more accurate, and to be automated.
subject: Artikel
  topic: section
creator: Andi Nur Syamsudin
creator: Utomo Budiyanto
rights: Copyright (c) 2025 Andi Nur Syamsudin, Utomo Budiyanto https://creativecommons.org/licenses/by/4.0/
date: 2025-02-15
publication date: 2025-02-15
starting page: 346
ending page: 359
doi: 10.33050/tmj.v9i3.2368

Optimalisasi Pemutusan Hubungan Kerja Implementasi Personal Extreme Programming dan Evaluasi EUCS PIECES
type: item
description: For 24 years of operation, Alfamart has always upheld the company’s values to provide customer satisfaction. However, efforts to manage human resources as the main asset are needed to support the company’s values in achieving its goals. One of the crucial aspects in this effort is the Personnel Division, which is responsible for employee administration. Unfortunately, the process of terminating employment is still done manually and conventionally. This research explores the development of the Employment Termination Letter (e-SKBHK) website as a solution to optimize the termination process by enhancing efficiency, minimizing paper usage, and ensuring letter security through QR codes. The website development is carried out using the Personal Extreme Programming method, adapted from Extreme Programming but tailored for a single developer. This website development uses PHP language with Laravel 10 framework that applies Model View Controller architecture pattern. The test results using the EUCS method show that users are satisfied with the website developed with an average score of 4.3. While testing with the PIECES method shows a significant increase from a score of 1.96 on the current mail management system to 4.07 on the developed website. This confirms the successful implementation of the website in the aspects of performance, information, economy, control, efficiency, and service in mail management.
subject: Artikel
  topic: section
creator: Dhivanny Adhira Putri
creator: Nouval Trezandy Lapatta
rights: Copyright (c) 2025 Dhivanny Adhira Putri, Nouval Trezandy Lapatta https://creativecommons.org/licenses/by/4.0/
date: 2025-02-25
publication date: 2025-02-25
starting page: 296
ending page: 308
doi: 10.33050/tmj.v9i3.2248

The Influence of User Generated Content, Brand Image, and Hedonic Value on Purchase Interest in Salted Egg Milea Products
type: item
description: This study aims to examine the influence of three main factors, User Generated Content (UGC), Brand Image, and Hedonic Value on consumer Purchase Intention towards Salted Egg Milea products. In today's digital era, the use of social media has become one of the main tools in product marketing. UGC is content created by users to recommend or reflect experiences with certain products, increasingly becoming a concern in marketing strategies. On the other hand, brand image is also known as consumer perceptions of brands that can influence their purchasing behavior. This study uses a quantitative approach method and data were collected through a survey of 113 respondents who are active social media users and have knowledge about Salted Egg Milea products. Data analysis techniques use Structural Equation Modeling (SEM) to test the relationship between the variables studied. The results of the study indicate that User Generated Content has a positive and significant influence on purchase intention of Salted Egg Milea products. In addition, brand image is also proven to have a positive and significant influence on purchase intention. The managerial implications of these findings are the importance of utilizing UGC and building a strong brand image to increase consumer purchase intention towards Salted Egg Milea products. This study contributes to the understanding of the influence of these factors in the context of marketing food and beverage products, especially salted egg products.
subject: Artikel
  topic: section
creator: Lucas Lawrence
creator: Thomas Rochefort
creator: Alwiyah Alwiyah
creator: Shofiyul Millah
rights: Copyright (c) 2024 Lucas Lawrence, Thomas Rochefort, Alwiyah Alwiyah, Shofiyul Millah https://creativecommons.org/licenses/by/4.0/
date: 2024-10-29
publication date: 2024-10-29
starting page: 256
ending page: 267
doi: 10.33050/tmj.v9i2.2327

Sistem Informasi Pengelolaan Sampah Kabupaten Bantul Berbasis Website Menggunakan Model Modified Waterfall
type: item
description: Waste management that is carried out conventionally or not integrated and coordinated between the government, the community, and the private sector creates new, increasingly complex problems. The Bantul Regency Government has established a Waste Management program based on Village-Owned Enterprises (the BumKal), which involves the synergy of all stakeholders. This research aims to develop and evaluate a web to optimize data management and monitoring: waste shodaqoh; waste bank; waste management place; and other BumKal programs. The process of developing a web applies the Software Development Life Cycle principles with the modified Waterfall model, which consists of stages: requirements definition; system and software design; implementation and unit testing; integration and system testing; as well as operation and maintenance. This research succeeded in developing a web to optimize BumKal program services. Efforts to evaluate web pages from unit level to overall functional integration through black box tests succeeded in achieving 100% conformity to functional aspects. The final stage of this research is to submit a web to the Environmental Service in Bantul Regency to optimize the BumKal program.
subject: Artikel
  topic: section
creator: Dinan Yulianto
creator: Aldi Febrianto
rights: Copyright (c) 2025 Dinan Yulianto, Aldi Febrianto https://creativecommons.org/licenses/by/4.0/
date: 2025-02-24
publication date: 2025-02-24
starting page: 309
ending page: 320
doi: 10.33050/tmj.v9i3.2168

Digitalization of Legal Information Management in Primary Schools Based on the JDIH Application
type: item
description: The rapid development of science and technology in the education sector has prompted institutions like the elementary school to improve the efficiency and effectiveness of information and legal management. This study aims to develop a Legal Documentation and Information Network (JDIH) application to facilitate the publication of school regulations. The primary objective of this research is to create an application that simplifies the management of student and school information, ensuring compliance with educational laws, and fostering an adaptive educational environment. The research used the System Development Life Cycle (SDLC) methodology, utilizing the Waterfall Model approach, which includes planning, analysis, design, implementation, testing, and maintenance. Data was gathered through observation, interviews, and literature studies, ensuring comprehensive insights into the existing regulatory management practices at the school. The JDIH application was successfully developed and implemented at the elementary school. It improved the accessibility of school regulations, ensuring better legal compliance and enhancing transparency. Positive feedback was received from respondents, with an average satisfaction level of 83.3%. This study demonstrates the effectiveness of the JDIH application in streamlining regulatory management. It is expected that the application will be expanded to other schools, further improving the management of legal information and promoting a more transparent and efficient educational environment.
subject: Artikel
  topic: section
creator: Rahmadian A. Saada
creator: Nouval Trezandy Lapatta
rights: Copyright (c) 2025 Rahmadian A. Saada, Nouval Trezandy Lapatta https://creativecommons.org/licenses/by/4.0/
date: 2025-06-29
publication date: 2025-06-29
starting page: 79
ending page: 92
doi: 10.33050/tmj.v10i1.2269

Analisis Penggunaan Media Pembelajaran Berbasis Aplikasi Google untuk Meningkatkan Literasi Digital Siswa Sekolah Dasar di Boyolali
type: item
description: The low level of digital literacy in Indonesia needs to be considered by all educational institutions, especially teachers, so that they can intelligently introduce Google-based digital literacy to students. The purpose of this study is to find out the use of google application-based learning media to increase digital literacy. This study uses a descriptive descriptive research approach. The informants in this study were school principals, teachers and students from four schools. Data collection techniques include interviews, observation and documentation. Data analysis in this study used an interactive model consisting of reduction data, presentation data and verification data. To validate the data using source triangulation. The results of the study show that teachers have driven digital literacy by utilizing Google media, namely Google search. Google search media used by teachers is used to find information, material and news that students can understand so that students are used to being able to choose information obtained by elementary school students and information that elementary school-age children cannot know. The teacher also provides videos, both videos downloaded from Google search, namely YouTube and Tik Tok which are used by the teacher, besides that they also use PowerPoint to display material or information.
subject: Artikel
  topic: section
creator: Fariz Kartika Yudha
creator: Ratnasari Diah Utami
rights: Copyright (c) 2024 Fariz Kartika Yudha, Ratnasari Diah Utami https://creativecommons.org/licenses/by/4.0/
date: 2024-07-23
publication date: 2024-07-23
starting page: 213
ending page: 227
doi: 10.33050/tmj.v9i2.2203

Enterprise Architecture Modeling Using Togaf Standards at SPBE Parigi Moutong Regency
type: item
description: The rapid advancement of technology has raised public expectations for easy access to government services and information. In response, the Parigi Moutong District Government has implemented the Electronic-Based Government System (SPBE) with an SPBE index of 2.68, indicating that the system has been well implemented. This study employs the Enterprise Architecture (EA)methodology, based on the TOGAF ADM, with a focus on the infrastructure domain to enhance efficiency, security, and integration within SPBE. The study involves the stages of preparation, data collection, analysis, design, finalization, and validation. The identified gap is that, despite the successful implementation of SPBE, the integration of modern technologies such as AI and blockchain to strengthen security and efficiency has not yet been fully optimized. The novelty of this research lies in the integration of advanced technologies in the Enterprise Architecture blueprint for SPBE, as well as the implementation of pilot testing to evaluate the alignment of the application with real-world conditions. The research aims to develop a comprehensive blueprint offering infrastructure improvement solutions for the Parigi Moutong District Government. The results show that TOGAF ADM successfully improves system integration, bureaucratic efficiency, and public service quality. The conclusion emphasizes the importance of adjusting technology to suit local conditions and needs when applying it to other regions.
subject: Artikel
  topic: section
creator: Alda Nur Pramadinda
creator: Kadek Agus Dwiwijaya
creator: Syahrullah Syahrullah
creator: Chairunnisa Ar. Lamasitudju
creator: Yazdi Pusadan
rights: Copyright (c) 2025 aldanur pramadinda, kadekagus dwiwijaya, syahrullah, Chairunnisa Ar. Lamasitudju, yazdipusadan https://creativecommons.org/licenses/by/4.0/
date: 2025-06-30
publication date: 2025-06-30
starting page: 107
ending page: 120
doi: 10.33050/tmj.v10i1.2262