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The JSIKTI: Jurnal Sistem Informasi dan Komputer Terapan Indonesia Volume 5, Issue 3 (March 2023) presents a collection of five scholarly articles that highlight recent developments in information systems, applied computing, artificial intelligence, and data analysis. This edition features contributions from researchers affiliated with prominent institutions, including National Taiwan University, Duta Wacana Christian University, Institut Bisnis dan Teknologi Indonesia, Politeknik Pertanian Negeri Samarinda, and Okayama University. The articles cover a diverse range of topics such as classifying UKT fee relief eligibility using machine learning, predicting Ethereum price movements with decision tree models, evaluating wine quality using LightGBM, developing Naïve Bayes–based diagnostic tools for diabetes, and forecasting Dogecoin price trends through LSTM networks. Together, these studies demonstrate strong interdisciplinary collaboration and provide valuable insights for academics, practitioners, and students in the fields of information systems, data science, and intelligent computing.

Published: 2023-03-27

Classifying UKT Fee Relief Eligibility Using K Nearest Neighbors Algorithm

I Wayan Kintara Anggara Putra, Gde Yoga Agastyar Priatdana (Author)

345-354

DOI : https://doi.org/10.33173/jsikti.251

Abstract views: 11 , PDF downloads: 8

Decision Tree Model for Predicting Ethereum Price Movements Based on Trends

I Dewa Ayu Sri Murdhani (Author)

355-364

DOI : https://doi.org/10.33173/jsikti.252

Abstract views: 12 , PDF downloads: 7

Naive Bayes Classifier for Accurate Diabetes Diagnosis and Analysis

Lynn Htet Aung (Author)

376-386

DOI : https://doi.org/10.33173/jsikti.254

Abstract views: 9 , PDF downloads: 12

Time Series Prediction of Doge Coin Prices Using LSTM Networks

Aniek Suryanti Kusuma, Ni Wayan Wardani (Author)

387-396

DOI : https://doi.org/10.33173/jsikti.255

Abstract views: 12 , PDF downloads: 6