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All Journal Format : Jurnal Imiah Teknik Informatika Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Jurnal Sains Informatika Terapan (JSIT)
Yeffry Handoko Putra
Universitas Komputer Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Analisis Kebutuhan Sistem Informasi Pemantauan Pekerja Migran Indonesia Leonardi Paris Hasugian; Rangga Sidik; Yeffry Handoko Putra; Yusrila Y Kerlooza; Deden A Wahab
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.908 KB) | DOI: 10.29207/resti.v3i2.978

Abstract

There are still many Indonesian Migrant Worker - Pekerja Migran Indonesia (PMI) involved in crime, both as victims and under the state. This shows that stakeholders including the government in the protection of PMI have not been idealized. Current efforts tend to focus on laws and regulations, on the other hand the lack of response, time, and precise. That issues should be avoided if there is a continuous form of communication between PMI and the government and / or other stakeholders during the placement of PMI abroad. This study resulted in a needs analysis to develop monitoring information system to provide information on PMI. The needs analysis results in PEST and SWOT analysis. Indicate that PMI need to make reports regularly using a monitoring information system. The monitoring information system will monitor PMI's condition to assess their situation and notify the government and / or other stakeholders if there is a response that needs to be followed up..
Pengembangan Framework Tata Kelola Ti Berbasis Budaya Organisasi Untuk Akselerasi Adopsi Artificial Intelligence Pada Umkm Dalam Mendukung SDG 9 Anggun Fergina; Agus Sevtiana; Agus Nursikuwagus; Yeffry Handoko Putra; Rio Yunanto
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1218

Abstract

Accelerating the adoption of Artificial Intelligence (AI) in the Micro, Small, and Medium Enterprises (MSMEs) sector is often hampered by socio-technical issues such as mental unpreparedness, structural resistance, and the phenomenon of AI user fatigue. The existing conventional IT governance framework is considered too rigid and burdensome for the small business ecosystem. This study aims to construct a Lightweight IT Governance Framework based on organizational culture to accelerate the adoption of AI in MSMEs while supporting the achievement of Sustainable Development Goals (SDG) target number 9. Using Design Science Research Methodology (DSRM) with a socio-technical approach, this study designs a three-layer framework artifact (Foundation, Operationalization, and Governance Envelope) that adopts the essential principles of ISO/IEC 38500. The model evaluation was conducted empirically by distributing structured questionnaires to 43 respondents of digital MSMEs in West Java and analyzed using the PLS-SEM method. The findings indicate that organizational culture plays an important role in encouraging AI adoption and supports the development of lightweight IT governance. AI adoption also functions as a bridging mechanism between organizational culture and the implementation of lightweight IT governance. The study proposes a lightweight governance framework that integrates organizational culture with AI adoption and provides a practical reference for MSMEs in implementing AI governance that is better aligned with their organizational capabilities.
Design of an Artificial Intelligence-based Personalized Learning Governance Framework Ucu Nugraha; Sri Titi Handayani; Hernalom Sitorus; Agus Nursikuwagus; Yeffry Handoko Putra; Rio Yunanto
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6545

Abstract

The rapid advancement of Artificial Intelligence (AI) in education has created significant opportunities for personalized learning while simultaneously introducing governance challenges for learners with disabilities. Existing studies have examined AI, adaptive learning, accessibility, and inclusive education; however, these areas remain fragmented and lack an integrated governance-oriented framework. This study aims to develop a Personalized Learning Governance Framework (PLGF) to support inclusive digital literacy through a systematic literature review and bibliometric analysis. The research methodology consisted of Scopus database retrieval, PRISMA-based screening, Biblioshiny-assisted bibliometric analysis, literature synthesis, gap identification, and conceptual framework development. From 196 Scopus-indexed records published between 2023 and 2026, a total of 97 studies were selected for analysis. The findings reveal strong conceptual relationships among AI, personalized learning, inclusive education, accessibility, disability, and ethical technology; however, their systematic integration remains limited. The proposed Personalized Learning Governance Framework (PLGF) comprises five interconnected layers: Learner Disability Profile Input, Machine Learning Personalization Engine, Inclusive Accessibility Adaptation, Governance and Ethical Control Center, and Digital Literacy Outcome Evaluation. The framework provides a comprehensive governance model for supporting accountable, inclusive, and AI-driven personalized learning systems while promoting equitable digital literacy for learners with disabilities.
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.
Co-Authors Agus Nursikuwagus Agus Sevtiana Anggun Fergina Diana Effendi Firdaus, Dony Waluya Hernalom Sitorus Leonardi Paris Hasugian Muhamad Nawawi Rio Yunanto Sidik, Rangga Sri Nurhayati Sri Titi Handayani Ucu Nugraha Wahab, Deden A Yusrila Y Kerlooza zulkifli, ridwan