JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia), a four times annually provides a forum for the full range of scholarly study. JSIKTI scope encompasses data analysis, natural language processing, artificial intelligence, neural networks, pattern recognition, image processing, genetic algorithm, bioinformatics/biomedical applications, biometrical application, content-based multimedia retrievals, augmented reality, virtual reality, information system, game mobile, dan IT bussiness incubation.

The journal publishes original research papers, short communications, and review articles both written in English or Bahasa Indonesia. The paper published in this journal implies that the work described has not been, and will not be published elsewhere, except in abstract, as part of a lecture, review or academic thesis. Paper may be written in English or Indonesian, however paper in English is preferred.

Please read these journal guidelines and template carefully. Authors who want to submit their manuscript to the editorial office of JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) should obey the writing guidelines. If the manuscript submitted is not appropriate with the guidelines or written in a different format, it will BE REJECTED by the editors before further reviewed. The editors will only accept the manuscripts which meet the assigned format.

JSIKTI is published four times annually, March, June, September and December by INFOTEKS (Technology Information, Computer and Sciences Association), with e-ISSN: 2655-7290 and p-ISSN: 2655-2183.

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You have to make sure that your paper is prepared using the JSIKTI paper TEMPLATE, has been carefully proofread and polished, and conformed to the author guidelines.

Open Journal Systems (OJS) has been applied for all business process in JSIKTI. Therefore, the authors are required to register in advance and upload the manuscript by online. The process of the manuscript could be monitored through OJS. Authors, readers, editorial board, editors, and peer review could obtain the real time status of the manuscript. Several other changes are informed in the Journal History.

Vol 5 No 3 (2023): March

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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

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