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

 

Open Submission

 
Open submission for Vol. 7 No. 2 2024. Submission deadline 31 May 2024  
Posted: 2024-04-02 More...
 
More Announcements...

Vol 7, No 2 (2024)

Table of Contents

Articles

Nonparametric Regression Modeling with Multivariable Fourier Series Estimator on Average Length of Schooling in Central Java in 2023 PDF
Ludia Ni'matuzzahroh, Andrea Tri Rian Dani 73-81
Risk Analysis Forecasting Models of Poisson Regression, Negative Binomial Regression, Poisson GSARIMA, and Negative Binomial GSARIMA (Case Study: Number of Bicycle Sales) PDF
Windya Harieska Pramujati 83-89
Modeling the Percentage of Tuberculosis Cure in Indonesia Using a Multivariate Adaptive Regression Spline Approach PDF
Dita Aris Novianti, Nadia Dwi Marwanda, Toha Saifudin, Suliyanto Suliyanto 91-97
Risk Factors for Lymphatic Filariasis in Endemic Areas of Papua Using Binary Logistic Regression Based on Synthetic Minority Over-sampling Technique PDF
Sri Rohmanisa Simangunsong, Siskarossa Ika Oktora 99-109
Implementation of Spatial Autoregressive with Autoregressive Disturbance (SARAR) using GMM to Identify Factors Caused Poverty in West Java PDF
Yunita Dwi Ayu Ningtias, Yudhie Andriyana, Anindya Apriliyanti Pravitasari 111-122
Comparison of Logistic Regression and Support Vector Machine in Predicting Stroke Risk PDF
Lensa Rosdiana Safitri, Nur Chamidah, Toha Saifudin, Mochammad Firmansyah, Gaos Tipki Alpandi 123-128
Ensemble Cluster Method For Clustering Cabbage Production In East Java PDF
Maulidya Maghfiro, Ni Wayan Surya Wardhani, Atiek Iriany 129-140
Generalized Linear Mixed Models for Predicting Non-Life Insurance Claims PDF
Kie Van Ivanky Saputra, Helena Margaretha, Ferry Vincenttius Ferdinand, Johana Daniella Budhyanto 141-153


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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