Journal Description

Enthusiastic : International Journal of Applied Statistics and Data Science (e-ISSN: 2798-3153, p-ISSN: 2798-253X) is an international journal published and managed by Statistics Department, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia. This journal publishes original research articles or review articles on all aspect of statistics and data science field which should be written in English. ENTHUSIASTIC has the vision to become a reputable journal and publish good quality papers. We aim to provide lecturer, researchers both academic and industries, and students worldwide with unlimited access to be published in our journal.


 

Specifically, these scopes of the ENTHUSIASTIC: International Journal of Statistics and Data Science are:

  1. Statistical Disaster Management
  2. Actuarial Science
  3. Data Science
  4. Statistics of Social and Business
  5. Statistics of Industry

The journal will be published electronically 2 times a year in April and October and Open Access Journal. The open calls for papers will be announced on this website.

Volume 4 Issue 1, April 2024
Volume 4, Number : 1
April 28, 2024
Current Issue

Volume 4 Issue 2, October 2024

Published: October 29, 2024

Loan Approval Classification Using Ensemble Learning on Imbalanced Data

Rahmi Anadra (1), Kusman Sadik (2), Agus M Soleh (3), Reka Agustia Astari (4)
(1) IPB University ,
(2) IPB University ,
(3) IPB University ,
(4) IPB University
85-95
25

Detection and Quantification of Glandular Trichomes (Bulbous) on Potato Plant Leaf Images Using Deep Learning

M. Fauzan Azhari (1), Rohmatul Fajriyah (2), Izzati Muhimmah (3), Dan Jeric Arcega Rustia (4), Marinus J.M. Smulders (5), Micha Gracianna Devi (6)
(1) Universitas Islam Indonesia ,
(2) Universitas Islam Indonesia ,
(3) Universitas Islam Indonesia ,
(4) Wageningen University & Research ,
(5) Wageningen University & Research ,
(6) Wageningen University & Research
96-108
32

Factor Influencing Delayed Completion in Mathematics Students at Nusa Cendant University: A Factor Analysis Approach

Elisabeth Brielin Sinu (1), Astri Atti (2)
(1) Universitas Nusa Cendana ,
(2) Universitas Nusa Cendana
19
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