About Journal

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.

Published: April 28, 2024

K-Means Clustering Application of Open ‎Unemployment in 2020 Caused by COVID-19 in West Java Province

10.20885/enthusiastic.vol4.iss1.art1

M. Ficky Haris Ardiansyah ⁽¹⁾, Nurfatimah Amany ⁽²⁾, Cahya Ireno Anugrah ⁽³⁾, Utami Dyah Syafitri ⁽⁴⁾

(1) IPB University ,

(2) IPB University ,

(3) IPB University ,

(4) IPB University

1-12

PDF

Read Statistic: 71

Performance of Three-Parameters Dirichlet Universal Portfolio During COVID-19 Pandemic

10.20885/enthusiastic.vol4.iss1.art2

Goh Yeok Qin ⁽¹⁾, Pang Sook Theng ⁽²⁾

(1) Universiti Tunku Abdul Rahman ,

(2) Universiti Tunku Abdul Rahman

13-24

PDF

Read Statistic: 34

Characterization of Student’s Performance in Massive Open Online Courses (MOOC)

10.20885/enthusiastic.vol4.iss1.art3

Tan Ching Joe ⁽¹⁾

(1) Universiti Tunku Abdul Rahman

25-36

PDF

Read Statistic: 6

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Enthusiastic : International Journal of Applied Statistics and Data Science is published and managed by Statistics Department, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia, in collaboration with Forum Pendidikan Tinggi Statistika (FORSTAT).

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2024

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About Journal

Articles

K-Means Clustering Application of Open ‎Unemployment in 2020 Caused by COVID-19 in West Java Province

Performance of Three-Parameters Dirichlet Universal Portfolio During COVID-19 Pandemic

Characterization of Student’s Performance in Massive Open Online Courses (MOOC)