Vol. 3 No. 2 (2025): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)
RESTIA Journal (Journal of Information Systems and Technology Research) Vol. 3 No. 1 Year 2025 is a scientific publication that focuses on research and innovation in the fields of information systems, information technology, and software engineering. This edition presents various research articles that discuss the latest developments in the application of artificial intelligence, data analysis, cybersecurity, and optimization of digital technology-based systems.
In this volume, several main topics raised include the implementation of machine learning in academic data processing, the development of cloud-based systems for administrative efficiency, and system security strategies through multi-factor authentication. In addition, this journal also presents case studies on digital transformation in the education and health sectors, which show how information technology can improve the efficiency and accuracy of data management. With the presence of this edition, RESITA Journal continues to be committed to being a forum for scientific publications that make real contributions to the development of science and technology in Indonesia.
Articles
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Precision Healthcare: Leveraging Value Chain Analysis of Strategic Information Systems and Information Technology to Enhance Hospital Outcomes
DOI :
https://doi.org/10.30787/restia.v3i2.1519
- PDF Views: 656 times | Download : 161 times
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Evaluation ChatGPT User Sentiment using Naive Bayes: A Review of Confusion Matrix and Classification Report
DOI :
https://doi.org/10.30787/restia.v3i2.1990
- PDF Views: 895 times | Download : 820 times
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Forward chaining Method for Early Detection of Mental Disorders
DOI :
https://doi.org/10.30787/restia.v3i2.1996
- PDF Views: 703 times | Download : 392 times
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Decision Support System for Motorcycle Selection for Students Using the Simple Additive Weighting (SAW) Method
DOI :
https://doi.org/10.30787/restia.v3i2.2067
- PDF Views: 521 times | Download : 304 times
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Classification of Imbalanced Data Using Random Forest Algorithm with SMOTE and SMOTE-ENN (Case Study on Stunting Data
DOI :
https://doi.org/10.30787/restia.v3i2.1906
- PDF Views: 1114 times | Download : 492 times










