
The Journal of Information Systems and Applied Computer Technology of Indonesia (JSIKTI) Vol. 7 No. 1 (2024): September presents a collection of scholarly articles focusing on the application and advancement of information systems, artificial intelligence, and machine learning technologies across various domains. This issue highlights international academic collaboration among five participating universities: National Taiwan University (Taiwan), Deakin University (Australia), Institut Bisnis dan Teknologi Indonesia (Indonesia), Okayama University (Japan), and Duta Wacana Christian University (Indonesia).
The volume features five research papers that explore diverse topics in intelligent systems, data analysis, and predictive modeling, including: A Hybrid Approach on Chili Price Classification Using Ensemble Methods, ARIMA Model for Time Series Forecasting of Doge Coin Prices, Machine Learning Forecasting Techniques for Analyzing Tourist Arrivals in Bali, Predicting Wine Quality Based on Features Using Naive Bayes Classifier, and Decision Tree Model for Classifying University Students Eligible for UKT Waivers.
This issue contributes to the growing body of knowledge in the fields of information systems and applied computer science, emphasizing the importance of global research collaboration and the practical implementation of data-driven technologies to address real-world challenges.
Published: 2024-09-30
Articles
A Hybrid Approach to Chili Price Classification Using Ensemble Methods
245-254
DOI : https://doi.org/10.33173/jsikti.241 Abstract views: 70 , PDF downloads: 69ARIMA Model for Time Series Forecasting of Doge Coin Prices
255-264
DOI : https://doi.org/10.33173/jsikti.242 Abstract views: 99 , PDF downloads: 331Machine Learning Forecasting Techniques for Analyzing Tourist Arrivals in Bali
265-274
DOI : https://doi.org/10.33173/jsikti.243 Abstract views: 187 , PDF downloads: 244Predicting Wine Quality Based on Features Using Naive Bayes Classifier
275-284
DOI : https://doi.org/10.33173/jsikti.244 Abstract views: 81 , PDF downloads: 121Decision Tree Model for Classifying University Students Eligible for UKT Waivers
285-294
DOI : https://doi.org/10.33173/jsikti.245 Abstract views: 74 , PDF downloads: 70







