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JSIKTI: Journal of Information Systems and Applied Computer Technology Indonesia, Volume 5, Number 4 (June 2023) presents a collection of research articles focusing on innovative applications of information systems, machine learning, and data analysis. This edition features collaborative works from three institutions — Institut Bisnis dan Teknologi Indonesia (INSTIKI), Okayama University (Japan), and Politeknik Pertanian Negeri Samarinda (Indonesia) — highlighting the journal’s commitment to fostering interdisciplinary research and international academic collaboration.

The articles in this issue explore a range of topics including decision support systems for tourism selection using GDSS and Borda methods, Bitcoin price trend analysis using KNN, machine learning-based prediction models such as Random Forest for health and education data, and time-series forecasting using the Prophet algorithm. Together, these studies demonstrate practical implementations of computational intelligence and data-driven decision-making across diverse domains.

This issue reflects the journal’s vision to serve as a platform for sharing applied computer science innovations and promoting research synergy between academia and industry in Indonesia and beyond.

Published: 2023-06-30

GDSS for Selecting Culinary Tourism in Bali Using Profile Matching and Borda

Putu Sugiartawan, Ni Wayan Wardani (Author)

295-304

DOI : https://doi.org/10.33173/jsikti.246

Abstract views: 68 , PDF downloads: 67

Data Analysis of Bitcoin Price Trends Using KNN Prediction Models

Aniek Suryanti Kusuma (Author)

305-314

DOI : https://doi.org/10.33173/jsikti.247

Abstract views: 63 , PDF downloads: 183

Random Forest Methodology for Analyzing Diabetes Risk Factors

Muslimin B, Syafei Karim, Asep Nurhuda (Author)

315-324

DOI : https://doi.org/10.33173/jsikti.248

Abstract views: 70 , PDF downloads: 66

Using Prophet for Accurate Time-Series Predictions of Doge Coin

Lynn Htet Aung (Author)

325-334

DOI : https://doi.org/10.33173/jsikti.249

Abstract views: 102 , PDF downloads: 138

Using Random Forest to Classify Financially Eligible Students for UKT

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

335-344

DOI : https://doi.org/10.33173/jsikti.250

Abstract views: 63 , PDF downloads: 114