Jurnal Statistika dan Komputasi

About the Journal

Announcements Call for Paper : Vol 4 No 2 (2025)

Journal Identity
Journal Title	Jurnal Statistika dan Komputasi
Abbreviation	STATKOM
Country	Indonesia
Subject	Computational Statistics, Data Analysis, Statistical Modeling, Machine Learning, Optimization & Simulation, Applied Statistics
Language	Indonesian and English
ISSN	E-ISSN 2963-0398 (Online Media) and ISSN 2963-038X (Printed)
Frequency	Two issues per year (June and December)
DOI	10.32665/statkom
Editor In Chief	Denny Nurdiansyah
Publisher	Universitas Nahdlatul Ulama Sunan Giri
Faculty	Faculty of Science and Technology
Organizer	Statistics Study Program
Address	Jl. A. Yani No. 10, Bojonegoro, East Java, Indonesia, 62115
Phone	+6281336633121
Email	statkom@unugiri.ac.id

Jurnal Statistika dan Komputasi (STATKOM) Indexed and Abstracted by:

Current Issue

Vol. 4 No. 1 (2025): Jurnal Statistika dan Komputasi

Jurnal Statistika dan Komputasi (STATKOM) is an open-access journal (e-journal) published by the Statistics Study Program, Faculty of Science and Technology, Universitas Nahdlatul Ulama Sunan Giri (UNUGIRI). STATKOM publishes the article based on research or equivalent to research results in Applied Statistics and Computation on various scopes related to Computational Statistics and Data Analysis. This journal is published twice a year (June and December) in Indonesian and English. It started to publish in June 2022 (Vol. 1 No. 1 June 2022), and each number contains five articles. STATKOM was registered with E-ISSN 2963-0398 (online media) and ISSN 2963-038X (printed) for publication in December 2022 (Vol. 1 No. 2 December 2022) and the subsequent publication. In early April 2023, STATKOM received Garuda indexation to fulfil the first requirement for Sinta indexation in the next few years. This edition of the STATKOM Journal presents five applied research studies utilizing modern statistical and computational methods, including Spline Truncated, MARS, SARIMA, PLS-SEM, and K-Means with its variants. The topics cover modeling the Environmental Quality Index, forecasting railway freight volume, analyzing satisfaction with data literacy training for teachers, clustering job seekers, and mapping student distribution in Bojonegoro. With a focus on real-world issues in the fields of environment, transportation, education, and employment, this edition offers valuable contributions to the development of relevant and practical data-driven solutions in Indonesia.