JITSI : Jurnal Ilmiah Teknologi Sistem Informasi is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspect of Technology and Information Systems. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the JITSI follows the open access policy that allows the published articles freely available online without any subscription. Submitted papers can be written in Indonesian or English for initial review stage by editors and further review process by minimum two reviewers.
Journal title : JITSI : Jurnal Ilmiah Teknologi Sistem Informasi
Initials : JITSI
Print ISSN : 2722-4619
Online ISSN : 2722-4600
Frequency : 4 issues per year
DOI : 10.62527/jitsi
Editor-in-chief : Hidra Amnur
Publisher : SOTVI - Society of Visual Informatics
OAI Address
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi has OAI address: http://jurnal-itsi.org/index.php/jitsi/oai
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Finally, accepted and published papers will be freely accessed in this website and the following abstracting & indexing databases:
Current Issue
Vol. 7 No. 3 (2026)
Published: 2026-09-30
Articles
Transformer-Based Sentiment Analysis of Mpox Discourse on Twitter for Digital Epidemiology
211 - 223
Abstract views: 0 , PDF
downloads: 0
Cloudflare Tunnel-Based Network Infrastructure for Application Deployment
224 - 235
Abstract views: 0 , PDF (Bahasa Indonesia)
downloads: 0
Arsitektur Keamanan Berlapis untuk E-Government Tingkat Desa, Implementasi dan Optimasi Lightweight Intrusion Detection System Berbasis Snort pada Server Berspek Rendah
236 - 240
Abstract views: 0 , PDF (Bahasa Indonesia)
downloads: 0
Analisis Efisiensi dan Skalabilitas Network Automation Berbasis Python pada Konfigurasi Multi-Router MikroTik
241 - 247
Abstract views: 0 , PDF (Bahasa Indonesia)
downloads: 0
Improving Support Vector Machine Performance with Hyperparameter Tuning Methods Using a Balanced-Moderate Model for Palm Oil Production Prediction
248 - 261
Abstract views: 0 , PDF
downloads: 0
Perbandingan Machine Learning dan Deep Learning untuk Klasifikasi Spam dengan Class Balancing
262 - 272
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