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All Journal Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) ADI Journal on Recent Innovation (AJRI) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC)
Faturahman, Adam
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Assessing User Satisfaction in Hadirku Through an Extended TAM Framework Jaya, Aswadi; Zainarthur, Henry; Sijabat, Apriani; Dina, Aulia Rahma; Faturahman, Adam
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.937

Abstract

The rapid advancement of Information and Communication Technology (ICT) has accelerated the transition from manual, paper based attendance systems toward digital platforms that promote efficiency and environmental sustainability through reduced paper usage. In this context, the Hadirku online attendance platform has been increasingly adopted across educational, organizational, and eventmanagement settings. This study employs the Technology Acceptance Model (TAM), extended with Service Quality, Organizational Support, and Information Security, to examine determinants of User Satisfaction and Continued Usage. A quantitative design was implemented with 200 valid respondents, and SmartPLS was used to assess construct validity and structural relationships. Reliability was strong (Cronbach’s α = 0.77–0.92), and model fit met recommended thresholds (SRMR = 0.057; NFI = 0.91). The study aims to analyze how perceived usefulness, ease of use, service quality, information security, and organizational support influence user engagement with Hadirku. Findings reveal that information security and perceived usefulness significantly predict continued usage intention, while perceived ease of use and organizational support enhance user satisfaction. Users overall reported positive experiences and strong behavioral intention to continue using the platform. This study contributes to digital transformation and Green ICT literature by providing an extended TAM framework that explains sustained engagement with online attendance systems. The results offer practical insights for platform developers and institutions seeking to optimize user trust, system reliability, and sustainable administrative practices.
Strategic Optimization of Digital Business Models through SEO Implementation Apriani, Desy; Faturahman, Adam; Ningrum, Fanani Islamia; Lachlan, Nicholas; Rahardja, Untung
Technomedia Journal Vol 10 No 3 (2026): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/dhcye328

Abstract

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.
Analysis of Inorganic Waste Classification Orange Box Based on TensorFlow Lite using Raspberry Pi 5 Aini, Qurotul; Faturahman, Adam; Agustian, Harry; Aritonang, Frengky Jonathan; Zainarthur, Henry
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1428

Abstract

While Smart City initiatives are evolving, waste management infrastructure remains a critical bottleneck, often hindered by high energy dependency and latency issues associated with cloud computing. Traditional automated solutions lack the autonomy required for scalable, outdoor deployment. This research introduces Orange Box a self-sustaining Edge-AI waste classifier designed to bridge the gap between high-performance computing and energy efficiency. The primary goal is to demonstrate that complex Deep Learning tasks can be executed locally on renewable energy without sacrificing classification precision. The system orchestrates a MobileNetV2 architecture on the Raspberry Pi 5, utilizing TensorFlow Lite (TFLite) quantization to drastically reduce computational load. Uniquely, this Green IoT node is fully decoupled from the power grid, driven by a custom power management system utilizing a 100Wp monocrystalline solar panel to sustain both the neural processing unit and robotic actuators. Experimental benchmarks reveal a robust 92% classification accuracy with an inference latency of just 45ms, significantly outperforming previous edge-device generations. Crucially, energy analysis validates operational autonomy for up to 72 hours without sunlight, confirming the system’s reliability for continuous urban deployment. This study demonstrates that the convergence of quantized Edge AI and solar harvesting is not merely theoretical but a deployable standard for the next generation of Smart City infrastructure, directly advancing the Sustainable Development Goals (SDGs) for sustainable urbanization.
Co-Authors Agarwal, Vertika Agustian, Harry Apriani Sijabat Apriliasari, Dwi Aritonang, Frengky Jonathan Aswadi Jaya, Aswadi Ayu Sanjaya, Yulia Putri Choiriyah Danny Manongga Desy Apriani Dina, Aulia Rahma Elmanda, Vonda fadli, ihya syihabul Fernandez, Mateo Fitra Putri Oganda Green, Thomas Irwan Sembiring Khoirunisa, Alfiah Lachlan, Nicholas Marantika, George Iwan Marviola Hardini Maulana, Sabda Nabila, Efa Ayu Ninda Lutfiani Ningrum, Fanani Islamia Pangestu, Anggit Panji Po Abas Sunarya Qurotul Aini Santoso, Nesti Anggraini Santoso, Nuke Puji Lestari SRI RAHAYU Triyono Untung Rahardja Wibowo, Nugroho Prihantoni Wijaya, Surta Wiliams, Alexander Zainarthur, Henry Zanubiya, Jihan