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.

slot gacor hari ini

situs togel

slot

Volume 4 Issue 2, October 2024
Volume 4, Number : 2
October 29, 2024
Current Issue

Volume 5 Issue 1, April 2025

Published: April 26, 2025

Modeling the Prevalence of Stunting in Indonesia Using Quantile Regression

Farida Hayati (1), Diana Nurlaily (2), Primadian Hasanah (3)
(1) Institut Teknologi Kalimantan ,
(2) Institut Teknologi Kalimantan ,
(3) Institut Teknologi Kalimantan
1-8
57

Temperature Prediction in Norway Using GRUs: A Machine Learning Approach

Andrie Pasca Hendradewa (1), Dina Tri Utari (2)
(1) Norwegian University of Science and Technology ,
(2) Universitas Islam Indonesia
9-19
42

Claim Reserving Estimation Using the Double Chain Ladder Method with the Bootstrap Approach

Tiffany Audrey Josepa (1), Ayu Sofia (2), Indah Gumala Andirasdini (3)
(1) Sumatera Institute of Technology ,
(2) Sumatera Institute of Technology ,
(3) Sumatera Institute of Technology
20-35
25

Analysis of Multinomial Logistics Regression on the Students Faith Data

Mutijah (1), Rohmad (2), Kholid Mawardi (3), Suparjo (4), Muhamad Slamet Yahya (5), Ifada Novikasari (6)
(1) UIN Prof. K.H. Saifuddin Zuhri Purwokerto ,
(2) UIN Prof. K.H. Saifuddin Zuhri Purwokerto ,
(3) UIN Prof. K.H. Saifuddin Zuhri Purwokerto ,
(4) UIN Prof. K.H. Saifuddin Zuhri Purwokerto ,
(5) UIN Prof. K.H. Saifuddin Zuhri Purwokerto ,
(6) UIN Prof. K.H. Saifuddin Zuhri Purwokerto
36-45
13
View All Issues