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.
Pandawan Incorporation, Alphabet Incubator Universitas Raharja
Digital Transformation in Public Administration through Digital Leadership to Improve Government Efficiency
This study examines the role of digital leadership in accelerating digital transformation within public administration to improve governmental efficiency. The objective of this research is to analyze how digital leadership influences the effectiveness, transparency, and service quality of public sector institutions in the digital era. This study employs a quantitative approach using survey data collected from 125 public sector employees, complemented by Structural Equation Modeling-Partial Least Squares (SEM-PLS) to test the relationships between variables. The results indicate that digital leadership has a significant positive effect on the success of digital transformation initiatives, which in turn enhances operational efficiency, decision-making speed, and public service delivery quality additionally, organizational readiness and technological infrastructure are identified as supporting factors that strengthen these relationships. In conclusion, the study highlights that effective digital leadership is a critical driver in ensuring successful digital transformation in public administration, thereby improving overall government performance, and it is recommended that policymakers invest in leadership development and digital capability enhancement to sustain long-term efficiency gains.
Copyright (c) 2026 Muhtarom Muhtarom, Untung Rahardja, Po Abas Sunarya, Arthur Freeman https://creativecommons.org/licenses/by/4.0/
Integration of HR Culture in Four Role Model for Smart Campus
Digital transformation in higher education is often constrained by the readiness of human resources. This study aims to analyze how military based organizational cultural values, namely discipline, loyalty, and courtesy strengthen the implementation of Dave Ulrich Four Roles of Human Resource model in supporting the transformation toward a Smart Military University. Using a qualitative case study approach at Jenderal Achmad Yani University, data were collected through in depth interviews observations and document analysis. The analysis visualized through a concept map shows that the interaction between the value of discipline and the Administrative Expert role has the highest frequency of references predominantly expressed by respondents from the ICT team and the administrative bureau. These findings indicate that data integrity within digital systems is highly dependent on compliance with established procedures. Meanwhile the value of loyalty emphasized by university leadership serves as the foundation of the Strategic Partner role in executing the institutional vision while courtesy underpins the Employee Champion role in delivering services. This study demonstrates that local cultural values constitute a determining variable for the successful performance of human resource management functions in the digital era.
Copyright (c) 2026 Sigit Anggoro https://creativecommons.org/licenses/by/4.0/
Digital Narratives of Hajj Pilgrims in the Transformation of Social Media Culture
The development of digital technology has driven significant transformations in how Hajj pilgrims present their religious experiences in public spaces. This study aims to analyze forms of self-representation among Hajj pilgrims in digital narratives published on social media platforms, as well as to examine the symbolic meanings that shape the construction of their religious identities. A qualitative approach using semiotic analysis was employed to examine ten digital posts purposively selected from Instagram and TikTok. The findings indicate that pilgrims digital narratives function not only as documentation of spiritual journeys but also as performative media through which piety, social status, and religious credibility are negotiated before broader audiences. The visual and textual representations reveal a shift from collective expressions of religiosity toward consciously constructed personal practices aimed at gaining symbolic validation and public interaction. These findings contribute to the field of religious communication by highlighting digital narratives as a new arena for the production and consumption of religious identity in the era of global connectivity.
Copyright (c) 2026 Haritsyah Wibisono, Hasyim Hasanah, Koree Jarong https://creativecommons.org/licenses/by/4.0/
Multiculturalism in Islamic Reconstruction Theological Principles for Strengthening Religious Moderation
The increasing complexity of cultural, religious, and identity diversity in the era of digital transformation poses significant challenges to social cohesion, driven by technology mediated communication, social media dynamics, and digital information flows that may intensify polarization, intolerance, and disinformation. This study examines multiculturalism from an Islamic perspective by analying its theological foundations, particularly the principles of ta’aruf, tasamuh, ‘adl, tawazun, rahmah, and shura, and by explaining the role of religious moderation (wasatiyyah) as an ethical framework for addressing social and digital challenges. Using a qualitative library research approach, data were collected from primary Islamic sources, including the Qur’an, Sunnah, and classical exegesis, as well as relevant contemporary literature, and analyzed thematically to identify conceptual patterns and interrelationships. The findings indicate that religious moderation plays a strategic role in strengthening social harmony and guiding ethical engagement in digital spaces, especially in response to social media communication, online religious discourse, and challenges related to algorithms and disinformation. The novelty of this study lies in integrating Islamic theological principles particularly wasatiyyah and ummatan wasathan with contemporary theories of strategic management and digital transformation, contributing to the development of multicultural education adaptive to digital society and supporting the achievement of the Sustainable Development Goals (SDGs), notably SDG 4, SDG 10, and SDG 16.
Copyright (c) 2026 Viona Miftahuljannah, Mohammad Al Farabi, Ahmad Darlis, Febrina Asmiralda, Aulia Rahmah Puteri, Yasir Mustafa Kareem https://creativecommons.org/licenses/by/4.0/
Strategic Optimization of Digital Business Models through SEO Implementation
The development of technology and digital media has intensified competition among brands in establishing their presence in the digital space. This condition requires effective strategies to enhance brand awareness as a fundamental basis for building trust and brand recognition. Search Engine Optimization (SEO) is one of the strategic approaches that plays an important role in increasing brand visibility on search engines. This study aims to conceptually review the role of SEO in improving digital brand awareness. The study employs a literature review approach and conceptual analysis of the concepts, principles, and common practices of SEO in digital content management. The discussion focuses on the relationship between keyword optimization, content structure and quality, digital design, and information consistency with the level of brand exposure and recognition in the digital environment. The results of the conceptual review indicate that the implementation of SEO integrated with content strategy and digital design can enhance visibility, credibility, and audience recall toward a brand. Therefore, SEO functions not only as a search engine optimization technique but also as a strategic instrument for building and strengthening digital brand awareness sustainably in an increasingly competitive digital era.
Copyright (c) 2026 Untung Rahardja, Desy Apriani, Adam Faturahman, Fanani Islamia Ningrum, Nicholas Lachlan https://creativecommons.org/licenses/by/4.0/
AI Agent Based Service Innovation to Enhance Efficiencyand User Experience
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.
Copyright (c) 2026 Dwi Cahyono, Hanung Eka Atmaja, Henry Zainarthur https://creativecommons.org/licenses/by/4.0/
Utilizing AI and Blockchain for Business Innovation in Digital Strategy
In the rapidly evolving digital era, businesses are confronted with the challenge of adapting to fast paced technological changes. Innovative technologies such as Artificial Intelligence (AI) and Blockchain have emerged as solutions that can accelerate business transformation. AI offers data analytics and automation capabilities that enhance operational efficiency, while Blockchain provides the transparency and security required in digital business transactions. This study aims to explore how AI and Blockchain can be leveraged to drive innovation in business strategies and strengthen competitive advantage in an increasingly digital market. The research employs a literature review approach to examine the implementation of AI and Blockchain across various industrial sectors. For example, in the e-commerce sector, major companies such as Amazon and Alibaba have implemented AI to improve customer experience through more accurate product recommendations. Additionally, Blockchain has been utilized by Walmart to enhance supply chain transparency, enabling product traceability from suppliers to consumers. The collected data were analyzed to understand the impact of these technologies on business models and the innovations adopted by companies. The findings indicate that AI accelerates decision making processes and enables personalized customer services, while Blockchain helps establish a more transparent and efficient business ecosystem. Both technologies contribute to the development of stronger and more adaptive digital business models. The implementation of AI and Blockchain in business strategies has proven to enhance innovation, improve operational efficiency, and reinforce competitive advantage. Therefore, adopting these technologies becomes a key factor in achieving success in digitally driven businesses.
Copyright (c) 2026 Po Abas Sunarya, Muhamad Yusup, Nahlie Fae https://creativecommons.org/licenses/by/4.0/
Strategic Digital Leadership for Business Technology Innovation and Transformation
Amid rapid technological advancement, organizations are required to undertake digital transformation to remain competitive in the modern business landscape. However, successful transformation requires more than mere technology adoption because it demands strategic leadership capable of driving change, fostering innovation, and aligning organizational objectives with digital strategies. This study examines the role of strategic leadership in organizational digital transformation, highlighting leadership styles, strategic approaches, and key practices that contribute to successful digital change initiatives. Through a comprehensive literature review and case study analysis, the research identifies critical leadership behaviors and decision-making processes that influence the effectiveness of digital initiatives. The findings emphasize that transformational leadership, adaptability, and vision-driven strategies facilitate smoother transitions, enhance employee engagement, and cultivate a sustainable digital culture within organizations. The study also explores major challenges faced by leaders, including resistance to change, resource constraints, and the need to balance innovation with operational stability. The results indicate that strategic leaders who adopt collaborative and inclusive approaches are better positioned to navigate the complexities of digital transformation. By integrating technological capabilities with a clear strategic vision, leaders not only manage transformation processes effectively but also strengthen long-term organizational competitiveness in the evolving digital economy. The study concludes by outlining practical implications for organizational leaders and suggesting directions for future research on the evolving role of leadership in digital transformation.
Copyright (c) 2026 Imam Ryan Maulana, Abdul Hamid Arribathi, Natasha Leonie https://creativecommons.org/licenses/by/4.0/
Cyber Threats to Press Freedom Resulting from Media Account Hijacking
The development of digital journalism has expanded the reach of information distribution, while simultaneously increasing the vulnerability of media organizations and journalists to cyber threats that may undermine press freedom. The hacking case involving Narasi.tv demonstrates that media account hijacking is not merely an individual digital crime, but a form of systemic violence and intimidation that affects journalistic integrity and public trust. This study aims to analyze the impact of media account hijacking on press freedom and to develop an applicable technical mitigation framework for digital media organizations. The research adopts a qualitative approach using a case study of the Narasi.tv hacking incident, supported by document analysis, reports from journalist organizations, and a review of the literature on cybersecurity and digital journalism. The findings indicate that collective cyberattacks generate significant psychological and operational impacts and function as a mechanism to suppress critical journalism. This study proposes a layered mitigation framework consisting of preventive technical mitigation, newsroom operational mitigation, and public communication mitigation. Theoretically, this research extends the study of cyber threats from an individual level vulnerability toward an institutional and systemic framework. From a managerial perspective, the findings emphasize that cybersecurity must be positioned as a strategic agenda in digital media transformation. This study is also aligned with the Sustainable Development Goals, particularly SDG 16, SDG 9, and SDG 4, in supporting the development of a secure, sustainable, and trustworthy digital media ecosystem.
Copyright (c) 2026 Abdul Hamid Arribathi, Annisa Ardien, Abdullah Arif Kamal https://creativecommons.org/licenses/by/4.0/
Opinion Mining for Customer Satisfaction in Culinarypreneur Ventures Using Naive Bayes
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).
Copyright (c) 2025 Hadi Cahyadi, Sri Rahayu, Noah Rangi https://creativecommons.org/licenses/by/4.0/
Software Based Geotechnical Analysis of Spillway Slope Reinforcement
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.
Copyright (c) 2025 Ikhsan Fabyanto, Muhammad Zaki, Darmawan Pontan, Tulus Widiarso https://creativecommons.org/licenses/by/4.0/
Cost Decision Making Using Activity-Based Costing Approach in Digital Information Systems
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.
Copyright (c) 2025 Imam Zarkasih Harahap, Muhammad Dedi Irawan, Adele Valerry https://creativecommons.org/licenses/by/4.0/
Digital WebGIS Transformation for Strategic Tsunami Mitigation Management in Rajabasa District
This study examines land-use suitability and tsunami disaster mitigation in Rajabasa District, one of the areas most severely affected by the 2018 Sunda Strait tsunami. Indonesia’s high coastal disaster exposure underscores the urgency of integrating spatial planning with risk reduction. Using a quantitative-descriptive spatial approach, this research assesses the conformity between existing land use and the spatial allocation defined in the Regional Spatial Plan (RTRW) of South Lampung Regency. Land-use mapping, RTRW extraction, and spatial overlay were conducted using QGIS, complemented by field observations of evacuation routes, signage, assembly points, and coastal protection structures. Results indicate that 74.77% (3,998.50 ha) of land use aligns with RTRW, while 25.23% (1,349.38 ha) shows nonconformity, mainly due to changes in agricultural and forest areas. In terms of tsunami mitigation, Rajabasa has breakwaters, evacuation paths, and temporary assembly points; however, the distribution remains uneven and no vertical evacuation shelters exist. A 1,300-meter buffer analysis reveals that several settlements lie outside effective evacuation coverage. All analytical outputs were integrated into an interactive WebGIS platform developed using QGIS, qgis2web, GitHub, and Netlify. This platform enhances data transparency and supports evidence-based decision-making related to land suitability, hazard exposure, and mitigation infrastructure. The study concludes that strengthening spatial-plan enforcement, improving mitigation facilities, and enhancing community preparedness are essential for building coastal resilience aligned with disaster risk reduction principles and the Sustainable Development Goals.
Copyright (c) 2026 Fachri Muhammad Rasyid, Jamaludin Jamaludin https://creativecommons.org/licenses/by/4.0/
Sustainable Digital Business Model Innovation through Learning Factory and AI
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.
Copyright (c) 2025 Nur Azizah, Ruli Supriati, Padeli Padeli, Mulyati Mulyati, Desy Apriani, Nahlie Fae https://creativecommons.org/licenses/by/4.0/
Digital Leadership Strategy for Technology-Driven Sustainable Business Transformation
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.
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/
The Role of RDI and Technology Emphasis on Operation and Sales Performance that Implies Financial Performance
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.
Copyright (c) 2025 Maleakhi Fernandes, Prio Utomo, Sri Purwanto https://creativecommons.org/licenses/by/4.0/
Gen Z’s Motivations and Expectations for Digital Game Development in Indonesia
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).
Copyright (c) 2025 Tony Wibowo, Mega Hardianti Kho, Dennis Sidartha Tan, Li Cen https://creativecommons.org/licenses/by/4.0/
Digital Based Estimation of Residential Property Losses from Liquefaction in West Jakarta
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.
Copyright (c) 2025 Indah Maryati, Muhammad Zaki, Darmawan Pontan, Tulus Widiarso https://creativecommons.org/licenses/by/4.0/
Analysis of Risk Factors of HPS in Goods and Services Procurement for Jakarta Property Projects
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.
Copyright (c) 2025 Iswara Gandhi, Darmawan Pontan, Inavonna Inavonna, Lili Kusumawati https://creativecommons.org/licenses/by/4.0/
Reinterpreting Brand Experience Stimuli through Virtual Space Avatars and Metaverse Co-Creation
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.
Copyright (c) 2025 Caesar Achmad Firjaun Faqih Aziz, Banung Grahita https://creativecommons.org/licenses/by/4.0/
Web-Based Personal Finance Management Application with Interactive Data Visualization
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.
Copyright (c) 2025 Muhammad Wildan Jaffar Rahmatullah, Nanda Nur Oktavia, Lucas Lawrence https://creativecommons.org/licenses/by/4.0/
Sustainable Practices in Learning Factories Technology for SDG4
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.
Copyright (c) 2025 Maulana Abbas, Po Abas Sunarya, Sendy Zul Friandi, Nuke Puji Lestari Santoso, Zanele Xolani https://creativecommons.org/licenses/by/4.0/
AI-Driven Makeup Suggestions Leveraging Mediapipe Face Landmarks For Eye Shape Detection
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.
Copyright (c) 2025 Faustin Devanda, Handri Santoso https://creativecommons.org/licenses/by/4.0/
Digital Transformation in Library Recommendation System Using k-NN Collaborative Filtering
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.
Copyright (c) 2025 Ahnaf Febriyan Fachri, Muhammad Faisal, Cahyo Crysdian https://creativecommons.org/licenses/by/4.0/
Implementasi CNN dan MediaPipe dalam Peningkatan Efektivitas Stretching pada Olahraga Futsal
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.
Copyright (c) 2025 Vito Jericho, Theresia Herlina Rochadiani https://creativecommons.org/licenses/by/4.0/
Designing a Subsurface Oil and Gas GUI Dashboard Using Design Thinking
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.
Copyright (c) 2025 Muhammad Ardhyan Jannatan, Niniek Fajar Puspita, Jani Rahardjo https://creativecommons.org/licenses/by/4.0/
Evaluasi Keberhasilan Implementasi Sistem Informasi Manajemen Proyek dalam Meningkatkan Efektivitas Tim Kerja
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.
Copyright (c) 2025 Mohamad Rakhmansyah, Richard Andre Sunarjo, Ninda Lutfiani, Dinda Putri Riskhandini, Anjani Shepard https://creativecommons.org/licenses/by/4.0/
Pengaruh Metode Waterfall dalam Penyempurnaan Proses Pengembangan Sistem Informasi Akademik secara Sistematis
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.
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/
Rancang Bangun Aplikasi Penerimaan Beasiswa Nahdlatul Ulama Scholarship (NUS) Oleh Lakpesdam PBNU
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.
Copyright (c) 2025 Muhammad Bachtyar Rosyadi, Maulidina Rahmawati Surya, Rismaya Nikmatul Putri https://creativecommons.org/licenses/by/4.0/
Penerapan Algoritma K-Means Clustering Dalam Pengelompokkan Kepadatan Penduduk
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.
Copyright (c) 2025 Fenita Delia, Hajra Rasmita Ngemba, Syaiful Hendra, Syahrullah Syahrullah, Nouval Trezandy Lapatta https://creativecommons.org/licenses/by/4.0/