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JSIKTI: Journal of Information Systems and Applied Computer Technology Indonesia, Volume 6, Number 2 (December 2023) showcases a diverse collection of research contributions from Institut Bisnis dan Teknologi Indonesia (INSTIKI), Okayama University (Japan), Politeknik Pertanian Negeri Samarinda, and Universitas Megarezky. This issue emphasizes the integration of intelligent computing, data analytics, and decision support systems across multidisciplinary contexts.

The published papers explore contemporary topics such as hypertension classification using gradient boosting and GRU-based neural networks, decision support systems for tourism destination selection using the Analytical Hierarchy Process (AHP), and financial data analysis employing Random Forest and Support Vector Machine (SVM) models for cryptocurrency trend prediction.

This issue highlights the journal’s mission to advance applied computer science research and promote cross-institutional and international collaboration. By combining health informatics, tourism analytics, and financial data modeling, this volume demonstrates the dynamic role of information systems and computational intelligence in addressing real-world problems.

Published: 2023-12-31

Decision Support System for Tourist Destination Selection in Buleleng Using the Analytical Hierarchy Process (AHP)

Anak Agung Surya Pradhana, I Nyoman Darma Kotama (Author)

397-405

DOI : https://doi.org/10.33173/jsikti.256

Abstract views: 81 , PDF downloads: 97

Hypertension Risk Prediction Using GRU-Based Neural Network with Adam Optimization

Muslimin B, Budi Racmadhani, Rudito Rudito (Author)

417-429

DOI : https://doi.org/10.33173/jsikti.258

Abstract views: 78 , PDF downloads: 38

Random Forest Analysis for Key Factors in Bitcoin Price Prediction

Lynn Htet Aung (Author)

430-439

DOI : https://doi.org/10.33173/jsikti.259

Abstract views: 60 , PDF downloads: 50