Jurnal Aplikasi Statistika & Komputasi Statistik

About the Journal

Jurnal Aplikasi Statistika & Komputasi Statistik (JASKS) is an official publication of Politeknik Statistika STIS. JASKS is dedicated to publishing original research in applied statistics and computational statistics. This journal was first published in 2009. The publication schedule is two times a year, in June and December.

2018, JASKS was accredited Sinta 2 by Kementerian Riset dan Teknologi/ Badan Riset dan Inovasi Nasion. (Link SK)

2023, JASKS will process re-accreditation Sinta

2024, JASKS was accredited Sinta 4 by Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi (Ministry of Education, Culture, Research and Technology). (Link SK)

Announcements

Reaccreditation Result of Jurnal Aplikasi Statistika & Komputasi Statistik (ASKS)

2026-02-05

Based on the official letter issued by the Director of Research and Community Service, Ministry of Higher Education, Science, and Technology, Directorate General of Research and Development, Number 0110/C3/DT.05.00/2026, the Journal of Statistical Applications & Computational Statistics (ASKS) has successfully achieved an upgrade in its accreditation ranking from Rank 4 to Rank 2 in the latest reaccreditation process.

This accreditation status is valid from Volume 17 Issue 1 (2025) to Volume 21 Issue 2 (2029).

Current Issue

Vol. 18 No. 1 (2026): Jurnal Aplikasi Statistika & Komputasi Statistik

This issue comprises eight articles authored by researchers affiliated with a diverse range of academic, government, and research institutions across Indonesia and the United Kingdom, including national statistical offices, universities, polytechnic institutions, and higher education centers located in Jakarta, Bekasi, Jambi, Padang, Surabaya, Kupang, Samarinda, Bali, Banjarbaru, and Leeds. The articles cover a broad spectrum of methodological and applied topics in statistics, data science, economics, and spatial analysis, including the role of financial literacy in shaping interest in sharia investment using SEM-PLS, village development status classification through ensemble learning and SMOTE-based class balancing, topic modeling and sentiment analysis of Indonesian tourism feedback, determinants of waste generation in East Java, sparse principal component analysis for identifying socioeconomic drivers of deforestation, geographically weighted regression for examining local variations in food security across Kalimantan, geographically weighted generalized Poisson regression for modeling crime factors in North Sumatra, and ensemble boosting approaches for forecasting rice prices in Indonesia.

DOI: https://doi.org/10.34123/jurnalasks.v18i1

Published: 2026-07-01