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All Journal Format : Jurnal Imiah Teknik Informatika Sistemasi: Jurnal Sistem Informasi EQIEN - JURNAL EKONOMI DAN BISNIS JRA: Jurnal Riset Akuntansi KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Manajemen Informatika @is The Best [Accounting Information System & Information Technology Business Enterprise] Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Indonesian Community Service and Empowerment Journal (IComSE) BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi Jurnal Sains Informatika Terapan (JSIT) Pengabdian Pada Masyarakat Sistem Informasi Akuntansi Journal of Renewable Engineering Software Engineering in Computing Systems
Rio Yunanto
Universitas Komputer Indonesia
Arts Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Pengembangan Model Tata Kelola Explainable AI pada Sistem Peringatan Dini Stunting : Pendekatan Socio-Technical dan Technology Acceptance Diana Effendi; Sri Nurhayati; Agus Nursikuwagus; Yeffry Handoko Putra; Rio Yunanto
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 12 No. 2 (2026): Agustus 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v12i2.19959

Abstract

This study develops a governance model for Explainable Artificial Intelligence (XAI) in a stunting early warning system by integrating a socio-technical approach and the Technology Acceptance Model (TAM). The main issues examined are the low transparency of AI systems, the lack of structure in health AI governance, and the need to build user trust before predictive systems are used in public health services. The research method employed a mixed-methods approach, consisting of a quantitative survey of 100 respondents and semi-structured interviews with 10 informants from the Health Department, Community Health Centers (Puskesmas), the Communication and Information Department (Diskominfo), midwives, and Posyandu cadres. Quantitative data were analyzed using multiple linear regression, while qualitative data were used to strengthen the socio-technical interpretation. The results indicate that XAI and governance have a positive influence on trust. Furthermore, trust and perceived usefulness have a positive influence on behavioral intention. The resulting model identifies transparency, accountability, security, compliance, periodic validation, audits, and feedback as governance mechanisms that link the technical quality of AI with user acceptance. The contribution of this research is a conceptual model of XAI governance that can serve as the basis for developing a transparent, accountable, and user-accepted early warning system for stunting. Keywords – Behavioral Intention; Explainable AI; Socio-Technical; Stunting; Governance.  
Model Tata Kelola Teknologi Informasi Berkelanjutan untuk Pengelolaan Limbah Bisnis Kedai Kopi Dony Waluya Firdaus; Ridwan Zulkifli; Muhamad Nawawi; Agus Nursikuwagus; Yeffry Handoko Putra; Rio Yunanto
FORMAT Vol 15 No 2 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i2.005

Abstract

Pertumbuhan UMKM coffee shop mendorong adopsi teknologi digital, namun sekaligus meningkatkan tantangan dalam pengelolaan food waste, efisiensi sumber daya, dan keberlanjutan bisnis. Meskipun berbagai teknologi seperti point of sale (POS), inventori digital, analitik data, dan platform food sharing telah banyak digunakan, pemanfaatannya sering kali belum didukung oleh mekanisme tata kelola yang mampu menyelaraskan investasi teknologi dengan tujuan keberlanjutan. Penelitian ini mengembangkan COBIT-Lite Sustainable IT Governance Model for Coffee Shop SMEs (CL-SITG-CS Model), yaitu model tata kelola TI yang disederhanakan dan disesuaikan dengan karakteristik serta keterbatasan sumber daya UMKM. Penelitian menggunakan pendekatan konseptual berbasis sintesis literatur integratif yang mencakup IT Governance, COBIT 2019, digital capability, food waste management, circular economy, dan sustainable performance. Model yang diusulkan terdiri atas enam lapisan, yaitu: (1) COBIT-Lite Governance Direction, (2) SME Digital Governance Enablers, (3) Digital Capability, (4) Food Waste Management, (5) Circular Economy Practices, dan (6) Sustainable SME Performance. Hasil sintesis menunjukkan bahwa adaptasi selektif terhadap objektif COBIT 2019, khususnya domain Evaluate, Direct and Monitor (EDM) untuk tata kelola dan Align, Plan and Organize (APO) untuk pengelolaan sumber daya, data, serta risiko, dapat menjadi fondasi tata kelola TI yang sederhana namun efektif bagi UMKM coffee shop. Model tersebut mampu mendorong pengembangan kapabilitas digital, mengoptimalkan pengurangan food waste, mendukung praktik ekonomi sirkular, serta meningkatkan kinerja keberlanjutan berdasarkan dimensi ekonomi, lingkungan, dan sosial. Secara teoretis, penelitian ini memperluas paradigma IT Governance dari business–IT alignment menuju sustainability-oriented IT Governance, sedangkan secara praktis model CL-SITG-CS menyediakan panduan implementasi tata kelola TI yang sesuai dengan karakteristik UMKM coffee shop.
A Three-Layer Cyber AI Governance Framework for Accountable Reinforcement Learning in National Data Sovereignty Andi Agus Salim; Hasbu Naim Syaddad; Luki Ishwara; Agus Nursikuwagus; Handoko Handoko; Rio Yunanto
Journal of Renewable Engineering Vol. 3 No. 4 (2026): JORE - August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/8h6yam07

Abstract

The rapid deployment of reinforcement learning (RL) agents in critical national infrastructure has outpaced the governance instruments designed to hold them accountable, creating a widening gap between algorithmic autonomy and sovereign oversight. This article proposes a Three-Layer Cyber-AI Governance Framework that integrates the technical, organizational, and regulatory dimensions of accountability for RL systems operating within national data sovereignty regimes. Using a systematic literature review guided by PRISMA 2020 procedures, twenty-five peer-reviewed and preprint sources published between 2021 and 2026 were analyzed through thematic synthesis to identify recurring governance constructs across cybersecurity, AI ethics, and data-sovereignty scholarship. The synthesis reveals three interdependent layers: an Algorithmic Layer governing reward design, explainability, and adversarial robustness; an Organizational Layer governing human oversight, audit trails, and incident reporting; and a Sovereign-Regulatory Layer governing data localization, cross-border data flow, and international cooperation. The proposed framework departs from existing layered models by embedding a continuous feedback loop that links real-time algorithmic telemetry to national regulatory review, closing the accountability gap that single-layer or purely technical frameworks leave open. The article concludes that accountable reinforcement learning under conditions of national data sovereignty requires coordinated, multi-layer instruments rather than isolated technical fixes, and it outlines an agenda for empirical validation of the framework across diverse regulatory contexts.   
Co-Authors Agus Muchtar Agus Nursikuwagus Agus Sevtiana Andi Agus Salim Angga Prabuwisesa Anggun Fergina Apriani Puti Purfini Atep Darminta Dean Subhan Saleh Dedeng Abdul Gani Amruloh Dhaniawaty, Rani Puspita Diana Effendi Dwi Rahayu Boedikartini Eddy Soeryanto Soegoto Fahrana, Egi Firdaus, Dony Waluya Galih Hermawan Handoko Handoko Hani Irmayanti Hasbu Naim Syaddad Hernalom Sitorus Hidayat Hidayat Husni Mubarok Husni Mubarok Iman Sidik Nusannas Khoerunisa, Bilqis Luki Ishwara M Munayah Muhamad Nawawi Ony Widilestariningtyas PURFINI, APRIANI PUTI Rahmasari, Tiara Resa Ramarinda Rini Yustiani Romansyah, Yusep Rosyad, Achmad Satria Putra Pamungkas Septiani, Yola Soegoto, Dedi Sulistiyo Sri Dewi Anggadini Sri Nurhayati Sri Supatmi Sri Titi Handayani Supriyati Ucu Nugraha Wahab, Deden A Yeffry Handoko Putra YULIANTO, HERY DWI Yusep Romansyah Zainal Arifin Hasibuan zulkifli, ridwan