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:
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- Neliti
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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 2 (2025)
Table of Contents
Articles
Implementing Markov Switching Regression Using Best Subset Approach For BSI Stock Price Prediction Analysis | |
Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Lulud Wijayanti, Diah Ayu Novitasari, Siti Rohmawati | 75-84 |
Constructing of Decent Work Index of Regency/City in Indonesia and its Influencing Factors | |
Fiska Alfiyya Nurshauma, Aisyah Fitri Yuniasih | 87-99 |
Modeling Youth Development Index in Indonesia Using Panel Data Regression for Binary Response with Random Effect | |
Pressylia Aluisina Putri Widyangga, Suliyanto Suliyanto, M. Fariz Fadillah Mardianto, Sediono Sediono | 101-113 |
Prediction of Nike’s Stock Price Based on the Best Time Series Modeling | |
Adma Novita Sari, Talitha Zuleika, M. Fariz Fadillah Mardianto, Elly Pusporani | 115-124 |
Comparison of GMERF and GLMM Tree Models on Poverty Household Data with Imbalanced Categories | |
Ari Shobri Bukhari, Khairil Anwar Notodiputro, Indahwati Indahwati, Anwar Fitrianto | 125-136 |
Spatio-Temporal Kriging for Monthly Precipitation Interpolation in East Kalimantan | |
Friendtika Miftaqul Jannah, Rahma Fitriani, Henny Pramoedyo | 137-145 |
Spatial Survival Analysis of Stroke Hospitalizations: A Bayesian Approach | |
Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado | 147-155 |
Deep Learning and Statistical Approaches for Forecasting the Indonesian Rupiah Exchange Rate | |
Neni Alya Firdausanti, Veniola Forestryani, Husna Mir’atin Nuroini | 157-170 |
Estimating Confidence Intervals for Hazard Ratio with Composite Covariates in the Cox Models | |
Shofi Andari | 171-177 |
Variables Selection Affecting Indonesian Human Development Index Using LASSO | |
Etis Sunandi, Titin Siswantining | 179-187 |
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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