SYNTIA (Systems and Technologies in Artificial Intelligence Applications) is an international, peer-reviewed, open-access journal that publishes high-quality research articles, reviews, and case studies on the development, application, and impact of Artificial Intelligence (AI) and intelligent systems in various domains. The journal provides a platform for researchers, academics, and professionals to share innovative ideas, theoretical advancements, and real-world implementations in AI-driven systems and technologies. SYNTIA aims to bridge the gap between fundamental AI research and practical applications, promoting interdisciplinary collaboration between computer science, data science, engineering, and social sciences.

Announcements

Current Issue

Vol. 1 No. 2 (2026): June 2026

This issue of SYNTIA presents five applied studies in computer vision, natural language processing, data quality, web security, and blockchain. They cover cocoa pod disease classification with a CNN–Transformer hybrid, political hoax detection with IndoBERT and Random Forest, mobile-number validity classification with Random Forest and XGBoost, content-based screening of harmful pages in a URL shortener, and the gas cost of Keccak-256 and SHA-256 in an Ethereum smart contract.

Participant diversity:
11 authors from 4 countries ( Germany, Indonesia, Malaysia, and Thailand).

Published: 2026-06-30

Articles

Parallel CNN–Transformer Hybrid with Learnable Logit Fusion for Cocoa Pod Disease Classification

Dian Meldayani, Amriana , Prakasit Poonwong
PDF
Pages: 42-54 Views: 32 times Download: 15 times

Random Forest on Frozen IndoBERT Embeddings for Indonesian Political Hoax Detection

Daniel Irwansyah, Anita Ahmad Kasim , Hajra Rasmita Ngemba
PDF
Pages: 55-66 Views: 22 times Download: 17 times

Random Forest and XGBoost for Mobile-Number Validity Classification

Andi Faturrahman, Amriana , Afiyah Rifkha Rahmika
PDF
Pages: 67-78 Views: 27 times Download: 8 times

Content-Based Screening of Gambling and Pornographic Pages in a URL Shortener Using Naive Bayes

Zulfikar Alip Takasihaeng, Nouval Trezandy Lapatta , Sri Khaerawati Nur
PDF
Pages: 79-90 Views: 17 times Download: 10 times

Gas Cost of Keccak-256 and SHA-256 in an Ethereum Smart Contract

Rahmat Kurniawan, Yuri Yudhaswana Joefrie , Sai Theja Kunta
PDF
Pages: 91-100 Views: 16 times Download: 9 times
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Journal Description

Journal title: Systems and Technologies in Artificial Intelligence Applications
Initial: SYNTIA
Frequency: Twice a year, in June and December.
DOI: 10.22487/SYNTIA
Online ISSN: 3165-0546
Editor-in-Chief: Dr. Ir. Anita Ahmad Kasim, S.Kom., M.Cs.
Managing Editor: Ir. Nouval Trezandy Lapatta, S.Kom., M.Kom.
Publisher: Department of Information Technology, Faculty of Engineering, Universitas Tadulako, Indonesia

SYNTIA (Systems and Technologies in Artificial Intelligence Applications) is an international, peer-reviewed, open-access journal that publishes high-quality research articles, reviews, and case studies on the development, application, and impact of Artificial Intelligence (AI) and intelligent systems in various domains. The journal provides a platform for researchers, academics, and professionals to share innovative ideas, theoretical advancements, and real-world implementations in AI-driven systems and technologies. SYNTIA aims to bridge the gap between fundamental AI research and practical applications, promoting interdisciplinary collaboration between computer science, data science, engineering, and social sciences.