This is a new website of VARIANSI Journal. Effective, since the issue of Vol. 4 No. 1 (2022).
For back issues, you can checked in https://ojs.unm.ac.id/jvariansi/
Journal title | VARIANSI: Journal of Statistics and Its Application on Teaching and Research |
Abbreviation | j. variansi |
ISSN | 2684-7590 (online) |
Frequency | 3 issues per year (April, September, and December) |
DOI | 10.35580/variansiunm |
Business Model | Open Access (OA), Author-pays |
Organized / Collaboration | Department of Statistics, Universitas Negeri Makassar |
Editors | see Editorial Team |
Citation Analysis | Scopus | Web of Science | Google Scholar |
1-2 weeks | 4-10 weeks |
Submission to first decision | Peer-review speed |
Welcome to the Open Journal System of VARIANSI: Journal of Statistics and Its Application on Teaching and Research.
VARIANSI is a journal of scientific open access, with ISSN 2684-7590 (Online) published by the Department of Statistics, Universitas Negeri Makassar.
The objective of this journal is to publish original, fully peer-reviewed articles on the results of research and literature (reviews) in the field of basic or applied sciences and learning from the field of statistics and their applications in learning and research on the result of research and literature studies.
OAI Address
VARIANSI: Journal of Statistics and Its Application on Teaching and Research has OAI address:
https://jurnalvariansi.unm.ac.id/index.php/variansi/oai
Before submission,
- Already have a username/password for the VARIANSI: Journal of Statistics and Its Application on Teaching and Research? GO TO LOGIN
- Need a username/password? GO TO REGISTRATION
VARIANSI: Journal of Statistics and Its Application on Teaching and Research was Accredited “Rank 5”(Peringkat 5) as a scientific journal under the decree of the Ministry of Research and Technology / National Research and Innovation Agency of the Republic of Indonesia, Decree No. 200/M/KPT/2020, December 23rd, 2020, From Vol. 1 No. 2 (2019) until Vol. 6 No. 1 (2024) and have been indexed and abstracted and displayed in Google Scholar, BASE (Bielefeld Academic Search Engine), JournalTOCs, Scilit by MDPI, Crossref.