Inferensi

Print ISSN: 0216-308X e-ISSN: 2721-3862

Inferensi is an open-access and peer-reviewed journal publishing advanced results in the fields of statistics and data science, as mentioned explicitly in the scope of the journal. The journal is geared toward the dissemination of original research and practical contributions by both scientists and engineers, from both academia and industry.

Inferensi is published by the Department of Statistics ITS in cooperation with Forum Pendidikan Tinggi Statistika (FORSTAT). This journal publishes three issues a year in March, July, and November. Inferensi has been accredited by the Ministry of Education Culture, Research, and Technology, Republic of Indonesia based on Decree 152/E/KPT/2023 as Sinta 2 started from Vol.6 No. 1 (2023).

Abstracted & Indexed in:

                                   
 


Peer Review Policy:

All submitted manuscripts are checked first by the Editor-in-chief whether the manuscript falls under the scope of the journal. If the manuscript fits within the scope, then the formal peer review process is conducted by the editorial board members. The manuscript will be forwarded to be reviewed by at least two reviewers. The authors and reviewers are encouraged to use the electronic submission and peer-review system.

Article Submission:

All papers submitted to the journal must be written in English and formatted in the 1-column format using the Microsoft Word template below:

Layout Template

ISSN:  0216-308X  e-ISSN: 2721-3862



Announcements

 

Migration to OJS 3

 

Important Notice to Authors of Jurnal Inferensi

Please be advised that Jurnal Inferensi will be undergoing a migration to Open Journal Systems (OJS) version 3. The new official website address for the journal is: https://journal.its.ac.id/index.php/inferensi/index

Consequently, we kindly request that all new article submissions be directed to this new platform. Articles that are currently under review will continue to be processed on the existing OJS 2 platform. Furthermore, articles that have not yet entered the review phase will also be migrated to the new website.

We appreciate your understanding and cooperation during this transition.

Thank you for your continued support and attention to this matter.

 
Posted: 2025-03-26 More...
 
More Announcements...

Vol 8, No 3 (2025)

Table of Contents

Articles

Small Area Estimation of Child Poverty on Java Island In 2021 (Comparison of EBLUP and Hierarchical Bayes) PDF
Nofita Istiana, Erwin Tanur, Azka Ubaidillah, Yuliana Ria Uli Sitanggang, Rosalinda Nainggolan 189-196
Estimation of Stunting and Wasting in Sumatra 2022 with Nadaraya-Watson Kernel and Penalized Spline PDF
Cinta Rizki Oktarina, Sigit Nugroho, Idhia Sriliana, Pepi Novianti, Etis Sunandi, Reza Pahlepi 197-208
The Application of the K-Medoid Classification Method for Analyzing Crime Rates in South Sulawesi PDF
Suwardi Annas, Aswi Aswi, Irwan Irwan 209-217
Comparison of Ordinal Logistic Regression and Artificial Neural Network in Stunting Prevalence Classification PDF
May Risnawati, M. Fathurahman, Surya Prangga 219-229
Comparison of ARIMA, LSTM, and Ensemble Averaging Models for Short-Term and Long- Term Forecasting of Non-Stationary Time Series Data PDF
Windy Ayu Pratiwi, I Made Sumertajaya, Khairil Anwar Notodiputro 231-241
Earthquake Point Clustering Using Self Organizing Maps (SOM) In Sulawesi and Maluku Regions PDF
Irwan Irwan, Ahmad Zaki, Eka Janivia Widiyaningrum 243-249
Forecasting Tourist Arrivals in Bali: A Grid Search-Tuned Comparative Study of Random Forest, XGBoost, and a Hybrid RF-XGBoost Model PDF
Kadek Jemmy Waciko, Leni Anggraini Susanti, Muayyad Muayyad, Rifqi Nur Fakhrurozi 251-261
Application of Bisecting K-Means Method in Grouping Earthquake Data (Case Study: Earthquakes in Indonesia 2023) PDF
Zulkifli Rais, Hardianti Hafid, Shopia Risqi 263-270
CART and Random Forest Analysis on Graduation Status of Halu Oleo University Students PDF
Gusti Arviana Rahman, Khairil Anwar Notodiputro, Bagus Sartono, La Surimi 271-282
Forecasting Indonesia's Non-Oil and Gas Exports Using Facebook Prophet: A Seasonal and Trend Analysis PDF
Erfiani Erfiani, Ferdian Bangkit Wijaya 283-291


Creative Commons License
Inferensi by Department of Statistics ITS is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://iptek.its.ac.id/index.php/inferensi.

ISSN:  0216-308X

e-ISSN: 2721-3862

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