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:
- Sinta
- Crossref
- Google Scholar
- Garuda
- IOS
- Base
- Neliti
- Road
- WorldCat
- Copernicus
- ResearchBib
- CiteFactor
- InfoBase
- Dimensions
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:
ISSN: 0216-308X e-ISSN: 2721-3862
Announcements
Migration to OJS 3 |
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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. |
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| 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) | |
| 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 | |
| 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 | |
| Suwardi Annas, Aswi Aswi, Irwan Irwan | 209-217 |
| Comparison of Ordinal Logistic Regression and Artificial Neural Network in Stunting Prevalence Classification | |
| 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 | |
| Windy Ayu Pratiwi, I Made Sumertajaya, Khairil Anwar Notodiputro | 231-241 |
| Earthquake Point Clustering Using Self Organizing Maps (SOM) In Sulawesi and Maluku Regions | |
| 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 | |
| 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) | |
| Zulkifli Rais, Hardianti Hafid, Shopia Risqi | 263-270 |
| CART and Random Forest Analysis on Graduation Status of Halu Oleo University Students | |
| 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 | |
| Erfiani Erfiani, Ferdian Bangkit Wijaya | 283-291 |

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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