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. 2 (2025): November 2025

All articles in this issue (5 original research articles) were authored or co-authored by 16 authors from 2 countries: India and Indonesia.

Articles

Comparison of Spatial Interpolation Methods: Inverse Distance Weighted and Kriging for Earthquake Intensity Mapping in Aceh, Indonesia

Latifah Rahayu, Cut Chairilla Yolanda Utami, Rahmatul Fauzi, Novi Reandy Sasmita

50-60
- PDF
DOI : 10.60084/ijds.v3i2.347

Abstract View : 117

PDF downloads: 94
An Interpretable Machine Learning Framework for Predicting Advanced Tumor Stages

Teuku Rizky Noviandy, Mohsina Patwekar, Faheem Patwekar, Rinaldi Idroes

61-69
- PDF
DOI : 10.60084/ijds.v3i2.364

Abstract View : 95

PDF downloads: 36
Enhanced Thyroid Disorder Classification Through XGBoost-Based Machine Learning Techniques

Aga Maulana

70-84
- PDF
DOI : 10.60084/ijds.v3i2.361

Abstract View : 59

PDF downloads: 88
A Convolutional Neural Network Model for Mushroom Toxicity Recognition

Irvanizam Irvanizam, Muhammad Subianto, Muhammad Salsabila Jamil

85-94
- PDF
DOI : 10.60084/ijds.v3i2.359

Abstract View : 59

PDF downloads: 92
Assessing the Performance of Ensemble and Regularized Models for Daily Rainfall Forecasting in Singapore

Musliadi Musliadi, Muhammad Zulkarnaini, Asalul Musaffa, Yolanda Yolanda

95-102
- PDF
DOI : 10.60084/ijds.v3i2.360

Abstract View : 63

PDF downloads: 84

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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.