
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
Articles
Classifying UKT Fee Relief Eligibility Using K Nearest Neighbors Algorithm
345-354
DOI : https://doi.org/10.33173/jsikti.251 Abstract views: 11 , PDF downloads: 8Decision Tree Model for Predicting Ethereum Price Movements Based on Trends
355-364
DOI : https://doi.org/10.33173/jsikti.252 Abstract views: 12 , PDF downloads: 7Efficient Wine Quality Prediction and Classification Using LightGBM Model
365-375
DOI : https://doi.org/10.33173/jsikti.253 Abstract views: 11 , PDF downloads: 11Naive Bayes Classifier for Accurate Diabetes Diagnosis and Analysis
376-386
DOI : https://doi.org/10.33173/jsikti.254 Abstract views: 9 , PDF downloads: 12Time Series Prediction of Doge Coin Prices Using LSTM Networks
387-396
DOI : https://doi.org/10.33173/jsikti.255 Abstract views: 12 , PDF downloads: 6







