
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 The paper published in this journal implies that the work described has not been, and will not be published elsewhere, except in abstract, as part of a lecture, review or academic thesis.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.
Before submission,
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.
Current Issue
Vol 8 No 3 (2026): March
JSIKTI: Journal of Information Systems and Applied Computer Technology Indonesia, Volume 8 Number 3 (March 2026) presents a collection of applied research in information systems, accounting technology, predictive analytics, and computational modeling contributed by researchers from the Institut Bisnis dan Teknologi Indonesia (INSTIKI), Sekolah Tinggi Bisnis Runata, Politeknik Pertanian Negeri Samarinda, Okayama University (Japan), and Universitas Musamus Merauke. This issue demonstrates collaborative scientific contributions that address practical challenges in finance, agriculture, and economic forecasting through modern computational approaches.
The published studies include several developments in accrual-based accounting information systems, covering financial analysis through the Break Even Point (BEP) approach, full costing methods, and financial planning models designed to improve organizational decision-making and accounting efficiency. In addition, this issue presents a Random Forest-based crop yield prediction model that integrates soil, climate, and agronomic variables to support agricultural productivity, as well as a study on forecasting the Jakarta Composite Index (IHSG) using the Moving Average method to analyze financial market trends.
This issue reflects a multidisciplinary integration of information systems, financial technology, machine learning, and predictive analysis. It reinforces JSIKTI’s commitment to publishing impactful, solution-oriented, and data-driven research that contributes to technological advancement, academic collaboration, and practical innovation in Indonesia and the international research community.
Published: 2026-03-21
Articles
Accrual-Based Accounting Information System with Break Even Point (BEP) Approach
1-12
DOI : https://doi.org/10.33173/jsikti.279 Abstract views: 16 , PDF downloads: 10Design of Accrual-Based Accounting Information System Using Full Costing Method
13-24
DOI : https://doi.org/10.33173/jsikti.280 Abstract views: 15 , PDF downloads: 8Development of Accrual-Based Accounting Information System for Financial Planning
25-36
DOI : https://doi.org/10.33173/jsikti.281 Abstract views: 12 , PDF downloads: 9Crop Yield Prediction Using Random Forest Based on Soil, Climate, and Agronomic Factors
37-44
DOI : https://doi.org/10.33173/jsikti.282 Abstract views: 20 , PDF downloads: 14Forecasting the Jakarta Composite Index (IHSG) Using the Moving Average Method
45-53
DOI : https://doi.org/10.33173/jsikti.283 Abstract views: 15 , PDF downloads: 14







