Journal Description

Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi (SNATI) (ISSN 2807-5935) is an open-access journal published twice a year that includes research in various information technology disciplines, such as information systems, cybersecurity, medical informatics, data science, multimedia, and others. Jurnal SNATi is published in January and July. Starting with volume 3, issue 2, 2024, the journal uses the new manuscript template. Please download the new template here.


Jurnal SNATi accepts manuscripts in both Bahasa Indonesia and English. All accepted manuscripts have been peer-reviewed by two or more reviewers to ensure their quality. We will provide indexation in the future to maximize the exposure of the manuscripts. The Science and Technology Index (SINTA), managed by the Ministry of Higher Education, Science and Technology of the Republic of Indonesia, accredited Jurnal SNATi in 2024 and awarded it SINTA 4 in 2025.


There are no fees for manuscript submission and publication. All is free of charge. However, please note that the number of papers published in each edition is limited.


Jurnal SNATi is published by the Department of Informatics, Universitas Islam Indonesia.

Volume 5, Number : 1
January 16, 2026
Current Issue

Vol. 5 No. 2 (2026)

Published: July 10, 2026

Auditing ABC University's New Student Registration System Maturity Level Through COBIT 2019

Luthfi Indana (1), Ferdyanto Adhi Nugroho (2)
(1) Universitas Merdeka Malang ,
(2) Universitas Merdeka Malang
80-87
31

Integration Sentiment Analysis and K-Means Clustering in Semeru Pine Forest Management

Solimun (1), Eni Sumarminingsih (2), Mudjiono (3)
(1) Universitas Brawijaya ,
(2) Universitas Brawijaya ,
(3) Universitas Brawijaya
88-96
25

Evaluation of SDCA, LBFGS, LightGBM and FastTree in ML.NET for Diabetes Prediction

Resi Taufan (1), Fahmi Ardiansyah (2), Annisa Elfina Augustia (3)
(1) Universitas Bina Sarana Informatika ,
(2) Universitas Bina Sarana Informatika ,
(3) Universitas Indraprasta PGRI
97-107
47

Accuracy–Efficiency Trade-off Analysis of CNN Backbones for Multi-Class Waste Classification

Mochamad Rizal Fauzan (1), Irgi Surya (2), Resa Pramudita (3)
(1) National Taipei University of Technology ,
(2) National Taipei University of Technology ,
(3) Universitas Pendidikan Indonesia
108-117
30

Optimizing Emotion Recognition in Indonesian Product Reviews Using LoRA on Transformer

David Suharjanto (1), Muhammad Mustakim (2)
(1) UIN Sunan Kalijaga ,
(2) UIN Sunan Kalijaga
118-127
19

Cloud Infrastructure Security: Detecting and Analyzing Attacks on Windows Server 2019

Ikhwan Alfath Nurul Fathony (1), Affix Mareta (2), Olivia Wardhani (3), Hakkan Azrul Suseno (4), Galang Ahmad Ghifari (5)
(1) Universitas Tidar ,
(2) Universitas Tidar ,
(3) Universitas Tidar ,
(4) Universitas Tidar ,
(5) Universitas Tidar
128-137
19
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