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Menampilkan 1–3 dari 3 artikel
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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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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Artificial Intelligence-Based Early Warning System for Disaster Management: A Literature Review Systematic and Bibliometric Analysis
Ridwan Zulkifli
; Zainal Arifin Hasibuan
; Irawan Afrianto
; Bella Hardiyana
; Sri Supatmi
Big Data Analytics and Data Science
Vol 1
, No 2
(2026)
The increasing frequency and intensity of natural disasters globally demands the development of more accurate and responsive Early Warning Systems (EWS). In recent years, Artificial Intelligence (AI) has been increasingly applied in natural disaster mitigation, but the approaches used are still diverse and spread across various domains. This study aims to present a systematic literature review on the application of AI and deep learning in natural disaster early warning systems. This review was c...
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