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

Before submission
You have to make sure that your paper is prepared using the JITSI ENGLISH TEMPLATE or JITSI BAHASA TEMPLATE has been carefully proofread and polished and conformed to the author guidelines

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Finally, accepted and published papers will be freely accessed in this website and the following abstracting & indexing databases:

    Directory of Open Access JournalROAD: the Directory of Open Access scholarly Resources     

Vol. 7 No. 3 (2026)

Published: 2026-09-30

Transformer-Based Sentiment Analysis of Mpox Discourse on Twitter for Digital Epidemiology

Hazel Chamboko, Kudakwashe Maguraushe, Belinda Ndlovu

211 - 223

  Abstract views: 0 , PDF   downloads: 0

Cloudflare Tunnel-Based Network Infrastructure for Application Deployment

Riziq Maulana, Tri Nur Arifin

224 - 235

  Abstract views: 0 , PDF (Bahasa Indonesia)   downloads: 0

Analisis Efisiensi dan Skalabilitas Network Automation Berbasis Python pada Konfigurasi Multi-Router MikroTik

Salsabilla Humayhira Saputri, Ronal Hadi, Mutia Rahmi Dewi

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

Iwan Rizal Setiawan, Ahmad Zainul Fanani, Ruri Suko Basuki, Purwanto

248 - 261

  Abstract views: 0 , PDF   downloads: 0

Perbandingan Machine Learning dan Deep Learning untuk Klasifikasi Spam dengan Class Balancing

Bayu Yanuargi, Fahmi Auliya Tsani

262 - 272

  Abstract views: 0 , PDF   downloads: 0

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