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All Journal Jurnal Teknik Industri Jurnal Keuangan dan Perbankan Trikonomika: Jurnal Ekonomi Indonesian Journal of Science and Technology Jurnal Ilmiah Econosains Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Bisnis dan Manajemen NUSANTARA : Jurnal Ilmu Pengetahuan Sosial YUME : Journal of Management JURISMA: Jurnal Riset Bisnis & Manajemen Majalah Ilmiah UNIKOM Jurnal Ilmu Politik dan Komunikasi FIRM: Journal of Management Studies Didaktik : Jurnal Ilmiah PGSD STKIP Subang Indonesian Community Service and Empowerment Journal (IComSE) Jurnal Ekonomi Bisnis Dan Industri (EBI) Jurnal Sains Manajemen Journal of Economics, Management, Business And Accounting (JEMBA) Jurnal Administrasi Bisnis (J-Adbis) International Journal of Entrepreneurship & Technopreneur (INJETECH) International Journal of Research and Applied Technology (INJURATECH) DIVAGATRA - Jurnal Penelitian Mahasiswa Desain International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Journal Of World Science Jurnal Sains Informatika Terapan (JSIT) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Journal of Artificial Intelligence and Digital Business Jurnal Riset Hukum, Ekonomi Islam, ekonomi, Manajemen dan Akuntansi Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka) Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) ASEAN Journal for Science and Engineering in Materials ASEAN Journal of Educational Research and Technology Jurnal Manajemen, Bisnis dan Kewirausahaan Integrated System and Management Technology Software Engineering in Computing Systems Jurnal Nasional Komputasi dan Teknologi Informasi Optimal: Jurnal Ekonomi dan Manajemen
Eddy Soeryanto Soegoto
Program Studi Manajemen, Fakultas Ekonomi Dan Bisnis, Universitas Komputer Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Social Sciences Other

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DIGITAL CROWDSOURCING UNTUK INFRASTRUKTUR PERKOTAAN: PENDEKATAN TATA KELOLA SMART CITY Linda Norhan; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar
Jurnal EBI Vol 8, No 1 (2026): Jurnal Ekonomi Bisnis dan Industri
Publisher : Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52061/ebi.v8i1.525

Abstract

The primary challenge in maintaining infrastructure within developing urban areas is the government's limited capacity to monitor damage in real-time. This study aims to develop and evaluate 'JagaInfra', a web-based platform designed using the Laravel framework as an instrument of social technopreneurship. This research adopts the Design Science Research (DSR) methodology to design a technological artifact that resolves the inefficiency of the reporting bureaucracy. The study highlights how the transformation from manual reporting to a digital crowdsourcing system can enhance public participation. System evaluation results indicate that location validation features (geotagging), distribution map visualization, and transparency in handling status are capable of improving data accountability and public trust. Managerially, JagaInfra offers an effective collaborative governance model within the Smart City ecosystem
Energy-Harvesting Materials for Autonomous Smart Farming Sensors: A Literature Review Riska Endah Septiani; Bobi Kurniawan; Senny Luckyardi; Eddy Soeryanto Soegoto; Dostnazar Ximmataliyev; Mohd. Kamir Yusof; Tomas Chochole; Hewa Majeed Zangana
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

The integration of the Internet of Things (IoT) in smart farming is hindered by limited battery life and the environmental impact of electronic waste. This review evaluates the development of energy-harvesting materials as a solution to power autonomous agricultural sensors. Through a systematic review, this paper analyzes three main mechanisms: Organic Photovoltaic (OPV), triboelectric nanogenerator/piezoelectric nanogenerator (TENG/PENG), and thermoelectric generator (TEG). Flexible polymers for TENGs and perovskite-based solar cells have the highest potential in addressing canopy shading and outdoor weather challenges. However, material toxicity and degradation due to UV and humidity remain major obstacles. Future research must prioritize biocompatible materials and hybrid systems to ensure the sustainability of precision agriculture.
Predictive Modelling of Electronic Materials: A Review of Deep Learning Techniques in Computer Engineering Agis Abhi Rafdhi; Hanhan Maulana; Senny Luckyardi; Eddy Soeryanto Soegoto; Dostnazar Ximmataliyev; Goh Kang Wen; Tomáš Chochole; Hewa Majeed Zangana
ASEAN Journal for Science and Engineering in Materials Vol 5, No 3 (2026): AJSEM: Volume 5, Issue 3, December 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

This review evaluates the application of deep learning (DL) for the predictive modeling of electronic materials in computer engineering. We analyzed peer-reviewed literature across four major databases, focusing exclusively on advanced architectures like Graph Neural Networks (GNNs) and Generative models. Results indicate these models accurately predict critical properties, such as band gaps and thermal conductivity, for next-generation semiconductors, 2D materials, and memristors. These high accuracies are achieved because architectures like GNNs effectively capture complex 3D spatial interactions without requiring manual feature engineering. However, practical fabrication remains hindered by data scarcity, algorithmic opacity, and a profound "Sim-to-Real Gap". While DL accelerates predictive design, sustaining Moore's Law ultimately requires developing autonomous "Self-Driving Labs" and Large Material Models to bridge digital predictions with physical synthesis.
Evolution of Artificial Intelligence (AI)-driven Information Systems in Higher Education: A Review Juliana Karin; Dian Dharmayanti; Senny Luckyardi; Eddy Soeryanto Soegoto; Dostnazar Ximmataliyev; Mohd. Kamir Yusof; Tomáš Chochole; Hewa Majeed Zangana
ASEAN Journal of Educational Research and Technology Vol 5, No 3 (2026): AJERT: VOLUME 5, ISSUE 3, December 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

Artificial Intelligence (AI) has fundamentally reshaped the architecture of Information Systems (IS) within higher education institutions. This systematic literature review examines the technological transition from traditional management databases to intelligent, autonomous frameworks. By analyzing peer-reviewed studies published over the last decade, this paper identifies three major evolutionary phases: the automation of administrative tasks, the rise of adaptive learning platforms, and the integration of predictive analytics for student success. The findings highlight how AI-driven systems enhance operational efficiency and personalize student experiences while simultaneously introducing complex challenges regarding data ethics and algorithmic bias. This review provides a comprehensive synthesis of current trends, offering a strategic roadmap for educators and technologists to navigate the future of intelligent academic ecosystems.
From Students To Talent: Orchestrating Human Capital For The Technopreneurial University Transformation Imanuel Eko Anggun Sugiyono; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar; Puri Swastika Gusti Krisna Dewi
YUME : Journal of Management Vol 9, No 2 (2026)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yume.v9i2.11446

Abstract

This research focuses on testing the effectiveness of the Student-HRM framework—Competency Development, Incentive Support, and Innovation-based Assessment—in influencing multidimensional transformation of student technopreneurship (Culture, Digital Readiness, and Innovation Ecosystem) in higher education institutions. Based on a quantitative explanatory design, data were obtained from 100 undergraduate students who are actively involved with digital entrepreneurship programs through a purposive sampling technique. The conceptual model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4 to assess the measurement model and evaluate the structural path coefficients by a bootstrapping procedure using 5,000 subsamples. The structural model shows significant predictive power (R2 > 0.70). The results highlighted a surprising paradox: Competency Development Support did not contribute significantly to transformation in any dimension, therefore questioning the ingrained belief that training alone leads to readiness. On the other hand, Incentive and Appreciation Support emerged as the stronger predictor and significantly affected all three dimensions. Innovation-based Assessment, however, was effective only in shaping the Technopreneurship Culture but proved ineffective in improving Digital Readiness or Ecosystem engagement.
HelloUMKM : Platform Teknopreneur berbasis Cloud dan Line Bot untuk UMKM Sufa Atin; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.285

Abstract

Perkembangan kewirausahaan digital menuntut UMKM untuk beradaptasi dengan teknologi informasi guna meningkatkan daya saing. Namun, sebagian besar UMKM di Kota Bandung masih menghadapi kendala dalam pengelolaan website promosi dan responsivitas layanan pelanggan. Penelitian ini bertujuan mengembangkan HelloUMKM sebagai platform teknopreneur yang mengintegrasikan teknologi Cloud Computing model SaaS dan LINE Bot untuk memfasilitasi promosi serta transaksi produk. Metode penelitian menggunakan pendekatan deskriptif kualitatif dengan model pengembangan prototipe. Pengujian dilakukan melalui uji alpha (Blackbox dan akurasi algoritma Jaro-Winkler Distance serta Forward Chaining pada LINE Bot) dan uji beta kepada 26 pelaku UMKM. Hasil pengujian menunjukkan fungsionalitas sistem mencapai 100% dengan akurasi LINE Bot sebesar 86%. Secara responsif, 85,38% responden sangat setuju aplikasi mendukung promosi online, 82,31% setuju LINE Bot efektif dalam komunikasi pelanggan, dan 74,62% menilai antarmuka mudah digunakan. Integrasi SaaS multi-tenant dan chatbot cerdas ini terbukti memberikan solusi praktis bagi UMKM dalam membangun ekosistem teknopreneur yang mandiri, responsif, dan berorientasi pada digitalisasi usaha.
The Integration Of Non-Academic Variables In Student Risk Assessment: A Conceptual Framework Hani Irmayanti; Eddy Soeryanto Soegoto; Hidayat Hidayat; Rio Yunanto; Zainal Arifin Hasibuan; Sri Supatmi
Software Engineering in Computing Systems Vol. 1 No. 2 (2026): May: Software Engineering in Computing Systems
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/secons.v1i2.435

Abstract

Students’ success in completing their studies on time is a vital indicator of the quality of higher education management in Indonesia. However, high dropout rates pose a major challenge, often caused by institutions’ failure to detect warning signs of academic failure in a timely manner. The main issue lies in the current evaluation approach, which is reactive and limited to conventional academic indicators such as the Grade Point Average (GPA), thereby neglecting the psychosocial factors that influence performance. This study aims to develop a more comprehensive conceptual framework for the early detection of academic failure risk by integrating academic and non-academic dimensions. The methodology used is adapted from the Design Science Research Methodology (DSRM), focusing on the stages from problem identification to the design of the model artifact. The proposed approach is a hybrid model that combines traditional academic variables with non-academic variables, including psychological stress levels, self-efficacy, and social support. The design results indicate that this framework is capable of identifying “latent pressure” as a leading indicator of failure before a decline in academic performance occurs. The synthesis of this study confirms that the integration of non-academic variables enhances the model’s transparency and provides a more meaningful and targeted interpretation of risk factors. In conclusion, this framework provides a theoretical foundation for educational institutions to transition from reactive evaluation to a system of personalized, proactive interventions. The implementation of this model is expected to improve student retention through earlier and more targeted risk mitigation.
Analisis Efektivitas Transformasi Digital dalam Skema Sertifikat Halal di Provinsi Banten Rita Sari Puspita; Mari Maryati; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar; Suryatno Wiganepdo Soegoto
JEMBA Vol 6 No 1 (2026): Journal of Economics, Management, Business and Accounting
Publisher : Fakultas Ekonomi dan Bisnis Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jemba.v6i1.18897

Abstract

Digital transformation has become a central element of public service reform, including the implementation of halal certification in Indonesia. This study aims to analyze the effectiveness of digital transformation in the halal certification scheme in Banten Province and to identify the key factors influencing its performance. A quantitative explanatory approach was employed through a survey of 235 micro and small enterprise owners who had applied for or were in the process of applying for halal certification using a digital system. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings indicate that digital transformation has improved service accessibility and transparency; however, its overall effectiveness has not yet been fully achieved, particularly in terms of process efficiency and time certainty. The effectiveness of digital halal certification services is influenced by system quality, information quality, quality of facilitation services, and users’ facilitating conditions. These results suggest that the success of digital transformation in regulatory public services is not determined solely by technological quality, but also by implementation support and contextual factors at the regional level. Theoretically, this study contributes to the literature on digital transformation in the public sector by emphasizing a public value and socio-technical perspective in evaluating service effectiveness. Practically, the findings provide insights for improving the governance of digital halal certification through strengthening facilitation mechanisms, enhancing digital literacy among enterprises, and adopting more context-sensitive implementation strategies.
Technopreneurship dan Adopsi Sistem Informasi pada Usaha Mikro di Era Industri 4.0 : Analisis berbasis Data Terbuka Fasilitasi Kabupaten Bandung Lusianto Lusianto; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.323

Abstract

Revolusi Industri 4.0 mengubah secara mendasar cara usaha mikro berproduksi, mendistribusikan produk, dan berinteraksi dengan konsumen melalui pemanfaatan internet, komputasi awan, dan big data. Dalam lanskap tersebut, technopreneurship — integrasi kapasitas kewirausahaan dengan teknologi — menempatkan teknologi sebagai inti penciptaan nilai, efisiensi, dan keunggulan kompetitif. Artikel ini menganalisis peran technopreneurship dalam penguatan usaha mikro di era Industri 4.0 melalui tinjauan naratif atas literatur jurnal nasional dan peraturan perundang-undangan, yang dipadukan dengan analisis deskriptif data resmi daerah mengenai jumlah usaha mikro yang difasilitasi Dinas Koperasi dan Usaha Kecil Menengah (DISKOPUKM) Kabupaten Bandung periode 2019–2025 (dataset DISKOPUKM/062, Satu Data Kabupaten Bandung). Data memperlihatkan ekspansi tajam dari 401 unit pada 2019 menjadi puncak 5.426 unit pada 2023 — setara laju pertumbuhan majemuk tahunan sekitar 92 persen — yang kemudian terkoreksi moderat menjadi 4.312 unit pada 2024 dan 4.110 unit pada 2025, namun tetap lebih dari sepuluh kali lipat angka awal periode. Temuan mengindikasikan bahwa luasnya jangkauan fasilitasi merupakan modal kebijakan yang penting, tetapi jangkauan semata belum menjamin penguatan technopreneurship; substansi program perlu diarahkan pada literasi digital, akses platform, inovasi model bisnis, dan pendampingan berbasis teknologi sebagaimana diamanatkan PP Nomor 7 Tahun 2021 dan Perpres Nomor 2 Tahun 2022. Artikel ini menyumbangkan sintesis konseptual dan pembacaan awal berbasis bukti atas keterkaitan kebijakan fasilitasi daerah dengan agenda technopreneurship.
Pengembangan Responsive Agentic AI-Enhanced Learning Framework untuk Meningkatkan Daya Saing Startup Edtech Hani Irmayanti; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.331

Abstract

Advances in artificial intelligence in education open up opportunities for more adaptive and personalized learning. However, EdTech startups still face challenges in the form of high customer churn rates and low user loyalty, which impact business competitiveness. This study proposes the Responsive Agentic AI-Enhanced Learning Framework as a conceptual artifact that integrates Agentic AI capabilities with adaptive learning. The method used is Design Science Research (DSR), which includes problem identification, solution goal setting, design and development, demonstration, logical evaluation, and communication. The objective of this research is to identify the essential elements of Agentic AI in the development of adaptive learning models for EdTech startups. The research results identified six main components, Agentic AI Capability, Adaptive Learning, Personalized Learning Experience, User Engagement, User Loyalty, and Competitive Advantage. Logical evaluation showed that the resulting framework possesses good relevance, consistency, completeness, and usefulness. The study concluded that the integration of Agentic AI has the potential to increase user loyalty while supporting the sustainable competitiveness of EdTech startups.
Co-Authors Adam Mukharil Bachtiar Adani Ghina Puspita Sari Adhea Vinora Putri Agis Abdi Rafdhi Agis Abhi Rafdhi Agung Nugraha Agus Mulyana Agustin, Nada Delia Ahmad Budi Sulistioyuwono Airine Hananiah Akbar, Aldi Mohamad Albar, Chepi Nur Anggun Fergina Arif Rachmat Darmawan Asep Bayu Dani Nandiyanto Bachtiar, Adam Mukharil Bobi Kurniawan, Bobi Burhanuddin Burhanuddin Chepi Nur Albar Cindy Nuke Mardika Cut Dinda Sara Daniel Maruli Debora Siahaan Dedi Sulistiyo Soegoto Dian Dharmayanti Dicky Kurniawan Dina Oktafiani Dostnazar Ximmataliyev E Elfiyah Fadillah, Ismail Hudan Fahmi Muhamad Mukhliansyah Firmansyah Firmansyah Fitri Febriyanti Fristaloka, Gina Dwi Ganieva Nasiba Shukhrat Kizy Goh Kang Wen Hani Irmayanti Harun AS Hayati, Euis Neni Hayin Ananta Herdiansyah Pratama Ginanjar Herman Soegoto Hernalom Sitorus Herry Saputra Hewa Majeed Zangana Hidayat Hidayat Ilham Zaki Iluh Sri Purwani Imanuel Eko Anggun Sugiyono Ipan Ripai Irawan Afrianto Irfan Dwiguna Sumitra Irine Sofianty Juliana Karin Karina Nurhidayah Lia Warlina Linda Norhan Lingga Puspita Handayani Luckyardi, Senny Lukito Angga Prasakti Lusianto Lusianto M Mulyanto Makalalag, Sukiman Mari Maryati Maryati, Mari Maulana, Hanhan Mohamad Akbar, Aldi Mohd. Kamir Yusof Muhammad Ananta Hafidz Muhammad Habibi Putera Muhammad Helmi Muhammad Ikhlas Naufalsyah Ranau Muhammad Irfan N Adilah N H Kamil Nada Archy Dhafina Nadia Putri Nabilah Nadia Tahiyyah Alifia Natalia, Tri Widiati Nawawi, Muhamad Novia Aenu Rizqi Nurintang Nurintang Nurul Amelia Popon Dauni Puri Swastika Gusti Krisna Dewi Putera, Muhammad Habibi Raden Budi Setiawan Ragadhita, Risti Rahma Wahdiniwanty Rahma Wahdiniwaty Rahma Wahdiniwaty Rahmadani, Indri Kristanty Raka Pradana Kostarian Rania Febiananda Ria Anggraeni Rina Maryanti Rio Yunanto Riska Endah Septiani Rita Sari Puspita Rizal Rachman Rizky Jumansyah Rofi Fadilah Madani Saputra, Herry Senny Luckyardi Shinta Wanda Kusuma Modjo Soegoto, Dedi Sulistiyo Sri Erina Damayanti Sri Supatmi Sri Yuliawati Sufa Atin Sugilar, Audya Pridita Sumitra, Irfan Dwiguna Suryatno Wiganepdo Soegoto Sutisnawati, Yayah Theresia Valentina Lumban Gaol Tiara Salsabila Tomas Chochole Tri Utomo Wiganarto Tri Widianti Natalia Wellga Berlianti Zainal Arifin Hasibuan Zanjabil Zulkarnain Zuli Priyanto zulkifli, ridwan