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Journal of Information Systems and Informatics
ISSN 2656-5935 · Asosiasi Doktor Sistem Informasi Indonesia · 894 artikel di indeks
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Artikel Jurnal
Handcrafted Feature Ablation for Batik Nitik Classification Under Provenance-Aware Evaluation
This study re-examines Batik Nitik classification using a leakage-safe provenance-aware evaluation protocol to determine which handcrafted descriptors make a substantive contribution to performance and whether saturated results persist after provenance-based partitioning. Batik Nitik 960 was…
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Integrating ML with Electronic Fiscal Devices for Real-Time Underpricing Detection in Tanzania
This study aims to develop a machine learning-based tool integrated into Electronic Fiscal Devices (EFDs) to detect underpricing fraud in real time in Tanzania. The motivation for this research arises from the limitations of existing EFD systems, which rely on manual and post-audit mechanisms that…
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Artikel Jurnal
AI Adoption in Southern African Open and Distance e-Learning: A Systematic Review
The integration of Artificial Intelligence (AI) into Open and Distance e-Learning (ODeL) systems is now a very important aspect in higher and tertiary education worldwide and this also includes Southern Africa. This paper reviewed a total number of 79 peer reviewed studies and other relevant…
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Student Achievement Prediction Models: A PRISMA-Based Systematic Literature Review
Student achievement prediction has become an important research area in educational data mining because it supports early intervention, academic monitoring, and evidence-based decision-making in educational institutions. This study aims to identify research trends, commonly used methods, predictive…
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Artikel Jurnal
Antecedents of Citizen-Centric E-Government Adoption: A Systematic Literature Review and Future Research Agenda
Although e-government adoption has been widely studied, limited attention has been given to citizen-centric adoption, despite citizens’ willingness being central to e-government success. This study systematically synthesises the literature to identify and conceptualise the multidimensional…
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Artikel Jurnal
Machine Learning Models for Early Gingival Health Screening Using Routine Clinical and Behavioral Data
This study addresses the high prevalence of periodontal disease in Indonesia by developing an accessible, early screening tool that overcomes the limitations of existing AI approaches, which heavily rely on costly radiographic imaging. We developed a machine learning framework utilizing…
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Artikel Jurnal
Comparative Sentiment Analysis of Profits Anywhere Application Reviews Using KNN and Naïve Bayes
User reviews on Google Play Store provide valuable information regarding application service quality and user satisfaction. This study aims to compare the performance of the K-Nearest Neighbor (KNN) and Naïve Bayes algorithms for sentiment analysis of reviews of the Profits Anywhere application, a…
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Artikel Jurnal
Association Rule Mining for Uncovering Co-occurring Skill Sets in Multi-Portal ICT Job Advertisements
Rapid changes in the ICT labour market require stakeholders to understand not only which skills are demanded but also how these skills occur together. However, existing studies provide limited insights into co-occurring skill demands in ICT jobs. This study addresses this gap by uncovering skill…
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Artikel Jurnal
Green Software Engineering for Sustainable IT Services: A Scopus-Based Systematic Literature Review and Bibliometric Mapping
This study maps the development of Green Software Engineering (GSE) research and examines its contribution to sustainable IT services. A Scopus-based Systematic Literature Review (SLR) was combined with bibliometric mapping. Records were retrieved on May 6, 2026 using TITLE-ABS-KEY("Green…
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Artikel Jurnal
Machine Learning-Based Multi-Class Scholarship Classification with a Streamlit Prototype
The scholarship selection process at a private university is still conducted manually by reviewing scholarship applicant documents individually, resulting in a time-consuming process and potential inconsistencies in evaluation. This study aims to develop a multi-class Machine Learning-based…
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Artikel Jurnal
A Temporal Patient Risk Timeline Framework for Longitudinal Clinical Deterioration Surveillance Using Hospital Data Warehouse and Machine Learning
Clinical deterioration among hospitalized patients remains a major challenge in inpatient care management. Conventional deterioration monitoring approaches frequently rely on isolated physiological observations and static threshold-based scoring systems, which may inadequately represent the…
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Artikel Jurnal
Experimental Evaluation of Avalanche Effect and Hash Consistency in SHA-256, SHA3-256, and BLAKE2b-256 for Smart Grid Data Integrity Verification
Ensuring the integrity of Smart Grid data is essential for preventing unauthorized data modification during transmission and storage. Cryptographic hash functions provide an efficient mechanism for integrity verification; however, their diffusion characteristics and computational performance under…
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Artikel Jurnal
An Explainable PCA-XGBoost Model for Predicting Bloodstream Infection in Hemodialysis Patients
Bloodstream infection (BSI) is a life-threatening complication in hemodialysis (HD) patients with catheter-based vascular access, carrying mortality rates of 15–50%, yet early detection remains challenging due to high-dimensional clinical data with significant multicollinearity. This study develops…
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Artikel Jurnal
Application-Driven Parallel Differential Evolution: A Systematic Mapping Review of Scalable Optimization Applications
This systematic mapping review examines application-driven parallel Differential Evolution (DE) as a scalable optimization approach for engineering, energy, computing, and intelligent systems. The review is based on a Scopus-only corpus searched on 24 May 2026 using TITLE-ABS-KEY queries related to…
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Artikel Jurnal
Extending the Technology Acceptance Model with Perceived Immersive Learning for VR Usage in Higher Education
This study examines the adoption of Virtual Reality (VR)-based learning in Indonesian higher education by extending the Technology Acceptance Model (TAM) through Perceived Immersive Learning (PIL). The study investigates how perceived usefulness, perceived ease of use, PIL, behavioral intention…
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Artikel Jurnal
User-Centered Design of Marker-Based Augmented Reality Learning Media to Improve Informatics Learning Effectiveness
Computer science education in schools still relies heavily on traditional teaching methods, resulting in low student motivation, particularly in topics related to computer hardware components. This study develops an interactive Augmented Reality (AR) learning medium with Marker-Based Tracking using…
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Artikel Jurnal
Residual Learning-Based Hybrid ARIMA–LSTM for Digital Retail Demand Forecasting
The rapid growth of digital retail has increased the need for accurate demand forecasting to support inventory planning and operational decision-making. This study proposes and evaluates a residual learning-based Hybrid ARIMA–LSTM framework for daily retail demand forecasting. A univariate dataset…
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Artikel Jurnal
Comparative Analysis of Four Machine Learning Classifiers for Indonesian Hoax News Detection
Across Indonesian online platforms, fabricated news spreads faster than fact-checkers can confirm. Because much of the literature relies on resource-intensive deep models, one applied question stays unsettled: which lighter, more transparent classifier best detects Indonesian hoaxes? We assessed…
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Artikel Jurnal
Evaluating E-Commerce User Satisfaction Using an Integrated PIECES and EUCS Framework
E-commerce in Indonesia is growing rapidly because of the increase in internet users and digital commerce activities. This study evaluates user satisfaction with e-commerce applications using a partial integration of the PIECES Framework and selected EUCS dimensions, including Performance…
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Artikel Jurnal
Open Government Data-Based Smart Tourism Analytics: A Conceptual Governance Framework
Digital transformation and Open Government Data (OGD) offer opportunities for more transparent, evidence-based, and sustainable tourism governance. However, prior smart tourism and OGD studies remain fragmented, often addressing data publication, analytics, governance, visualization, or…