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Menampilkan 1–10 dari 16 artikel
Classification, Prediction, and Prescription of Digital Government Governance Maturity Levels: Leveraging SPBE Index Data (2019–2024) for Evidence-Based Regional Digital Government Architecture Planning in Indonesia
Andi Agus Salim
; Zainal Arifin Hasibuan
; Agus Nursikuwagus
; Sri Supatmi
Big Data Analytics and Data Science
Vol 1
, No 2
(2026)
Indonesia's transition from the SPBE evaluation framework to the 2025–2029 Pemdi (Digital Government) Index marks a strategic shift toward comprehensive governance maturity. However, regional governments face significant challenges in strategic planning due to the absence of empirical models linking historical SPBE performance to future Pemdi trajectories and a lack of data-driven guidance for prioritizing governance interventions. This research aims to develop an integrated Classification-Predi...
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A Design Science Roadmap for Auditable Ocular Disease Classification: Evidence Mapping of AI Governance Gaps
Rizal Rachman
; Eddy Soeryanto Soegoto
; Irawan Afrianto
; Irfan Dwiguna sumitra
; Zainal Arifin Hasibuan
Integrated System and Management Technology
Vol 1
, No 2
(2026)
The integration of Artificial Intelligence (AI) into ocular diagnostics has led to substantial improvements in predictive accuracy. However, a persistent gap remains between technical performance and clinical accountability. The present study addresses the "accuracy trap" and the lack of transparency in current deep learning models for ocular disease classification. The objective of the research is twofold: firstly, to identify methodological deficiencies in extant literature and, secondly, to p...
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Integrated and Spatiotemporal Predictive Data-Driven Narcotics Intelligence Ecosystem: Governance, Interoperability, and Analytics Pipeline for Evidence-Based Policy : Case Study: BNNP West Java, Indonesia
Luki Ishwara
; Agus Nursikuwagus
; Ednawati Rainarli
; Zainal Arifin Hasibuan
; Sri Supatmi
Integrated System and Management Technology
Vol 1
, No 2
(2026)
Across BNN, police, health, corrections, and local government, Indonesia's crossagen cynarcotics control produces a lot of data yet fragmented, limiting timely identification of abuse patterns,hotspots, and resource requirements. It aims to bridge the gap between international breakthroughson the use of machine-learning–based monitoring and optimization under uncertainty and underdeveloped provincial integration of governance, interoperability, and predictive analytics in the public sector. It i...
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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)
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 i...
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Adaptive-Cognitive Smart Farming Architectures for Food Security Resilience: A Systematic Literature Review of IoT and AI-Based Approaches
Ridho Taufiq Subagio
; Zainal Arifin Hasibuan
; Bobby Kurniawan
; Sri Supatmi
; Hidayat Hidayat
; Citra Noviyasari
Computer Architecture and Signal Processing
Vol 1
, No 2
(2026)
Food security resilience has become an increasingly critical global concern due to the combined effects of climate change, population growth, and resource scarcity. Conventional agricultural practices are no longer sufficient to meet rising food demands, thereby necessitating the adoption of intelligent and adaptive technological solutions. Smart farming, enabled by the integration of the Internet of Things (IoT) and Artificial Intelligence (AI), has emerged as a promising approach to enhance ag...
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Developing an AI-Driven Prescriptive Framework for Orchestrating MSME Supply and Demand: Integration of Hyper-Local Community Engagement Signals
Nanang Abdurahman
; Zainal Arifin Hasibuan
; Irawan Afrianto
; Ifan Dwiguna
Integrated System and Management Technology
Vol 1
, No 2
(2026)
Micro, Small, and Medium Enterprises (MSMEs) face significant challenges in balancing supply and demand amidst the rapid volatility of the digital economy era. This condition is primarily driven by conventional, reactive decision-making and a failure to utilize social media data beyond mere marketing metrics, resulting in operational inefficiencies such as overstocking or stockouts. This research aims to address this gap by developing an Artificial Intelligence-Based Prescriptive Framework for M...
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Predictive decision support for underutilization risk in public sector tourism: Evidence mapping and a design science roadmap
Ucu Nugraha
; Zainal Arifin Hasibuan
; Bobi Kurniawan S
; Sri Supatmi
; Agus Nursikuwagus
; Citra Noviyasari
Cyber Security and Network Management
Vol 1
, No 2
(2026)
Publicly funded tourism assets can become stranded when utilization persistently falls below a reasonable level relative to capacity or policy-defined potential. Yet tourism analytics research largely forecasts demand or composite performance and seldom formalizes underutilization as a governance outcome, nor evaluates decision quality within planning and budgeting workflows. This study (i) maps recent evidence and research gaps and (ii) proposes a conceptual artefact in the form of a policy-rea...
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Adaptive Gamification in Learning Management Systems: A Systematic Literature Review
Wiyoga Baswardono
; Bobi Kurniawan
; Zainal Arifin Hasibuan
; Sri Supatmi
; Arvy N. Osma
Digital Multimedia and Visualization Technology
Vol 1
, No 2
(2026)
Digital transformation has positioned the Learning Management System (LMS) as the centerpiece of the higher education learning ecosystem. However, current conventional gamification implementations are still dominated by a static, "one-size-fits-all" approach, which often triggers gamification fatigue and a long-term decline in student motivation. This study aims to synthesize literature regarding the convergence between Artificial Intelligence (AI) and the Felder-Silverman Learning Style Model (...
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Design of Usability and Accessibility Evaluation for a Multimedia-Based Animal Life Cycle Learning Application for Deaf Students
Diana Effendi
; Bobi Kurniawan
; Zainal Arifin Hasibuan
; Sri Supatmi
Digital Multimedia and Visualization Technology
Vol 1
, No 2
(2026)
Previous research on a multimedia-based animal life cycle learning application for deaf students has produced a system design, interface storyboards, instructional materials, an evaluation, and sign language videos; however, it has not yet reached the stage of evaluating the quality of use. This situation highlights the need for further research with stronger scientific rigor, specifically testing the usability and accessibility of the designed application. This article aims to develop a more fo...
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Data-Driven Learning Analytics Conceptual Framework for Automated Competency Mapping in Outcome-Based Education: A Design Science Research Approach
Hasbu Naim Syaddad
; Zainal Arifin Hasibuan
; Bobi Kurniawan S
; Sri Supatmi
; Agus Nursikuwagus
; Citra Noviyasari
Computer Architecture and Signal Processing
Vol 1
, No 2
(2026)
The implementation of Outcome-Based Education (OBE) in higher education demands precise measurement of Graduate Learning Outcomes (CPL) and Course Learning Outcomes (CPMK). However, current conventional Learning Management Systems (LMS) remain static and centered on final performance metrics (grades), thus failing to map student academic profiles into sub-competencies in a real-time and granular manner. This study proposes a conceptual artifact in the form of an Intelligent Tutoring System (ITS)...
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