Infolitika Journal of Data Science

Announcements

Change of Publication Schedule

2024-01-08

Dear Authors and Readers

Effective 2024, the publication schedule for Infolitika Journal of Data Science will shift to May-November, from the previous September-December timeline.

Thank you for your understanding.

Editorial Office

Infolitika Journal of Data Science

Current Issue

Vol. 3 No. 1 (2025): May 2025

All articles in this issue (5 original research articles) were authored or co-authored by 22 authors from 3 countries: Indonesia, Japan and Malaysia.

Articles

Developing a Regional Framework for Disaster Risk Reduction Based on Disaster-Related Data from Aceh, Indonesia

Yolanda Yolanda, Rina Suryani Oktari, Munawar Munawar, Muhamad Safiih Lola, Hizir Sofyan

1-11
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DOI : 10.60084/ijds.v3i1.269

Abstract View : 221

PDF downloads: 140
Similarity-Based Network in the Industrial Community of Joyo City

Keita Takeuchi, Masashi Iwasaki, Masato Shinjo

12-20
- PDF
DOI : 10.60084/ijds.v3i1.267

Abstract View : 403

PDF downloads: 175
Explainable Deep Learning with Lightweight CNNs for Tuberculosis Classification

Teuku Rizky Noviandy, Ghazi Mauer Idroes, Teuku Zulfikar, Rinaldi Idroes

21-30
- PDF
DOI : 10.60084/ijds.v3i1.305

Abstract View : 167

PDF downloads: 181
Optimizing Energy Consumption Prediction Across the IMT-GT Region Through PCA-Based Modeling

Muhammad Farid, Teuku Muhammad Faiz Nuzullah, Zatul Aklya, Syifa Nazila, Muhammad Zia Ulhaq , Feby Apriliansyah, Novi Reandy Sasmita

31-39
- PDF
DOI : 10.60084/ijds.v3i1.286

Abstract View : 142

PDF downloads: 112
Inductive Biases in Feature Reduction for QSAR: SHAP vs. Autoencoders

Teuku Rizky Noviandy, Ghifari Maulana Idroes, Andi Lala, Zuchra Helwani, Rinaldi Idroes

40-49
- PDF
DOI : 10.60084/ijds.v3i1.306

Abstract View : 131

PDF downloads: 136

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Infolitika Journal of Data Science is a peer-reviewed scientific journal that publishes high-quality research and review articles in the field of data science. This journal centers its attention on cross-disciplinary investigations that bridge the gap between scientific and technological advancements and their practical implementations in real-world scenarios, along with the consequential effects these advancements bear upon society.