Journal Description

The Emerging Statistics and Data Science Journal (e-ISSN: 2986-4178, p-ISSN: 2988-4004)  is published by the Statistics Department of the Faculty of Mathematics and Natural Sciences at Universitas Islam Indonesia. It serves as a platform for the publication of scientific articles for academics and practitioners in the field of statistics.


To ensure high quality, the journal collaborates with faculty members from various universities and conducts periodic evaluations. The Emerging Statistics and Data Science Journal is committed to publishing three issues each year—in January, May, and October. The journal covers a range of topics, including statistical methodology, applied statistics in business, industry, and social studies, as well as data science and other fields related to statistics and its applications.

We invite researchers to submit manuscripts to ESDS. Manuscript submission deadline:

  • Vol. 4 Issue 1 (January 2026)
  • Vol. 4 Issue 2 (May 2026)
  • Vol. 4 Issue 3 (October 2026)

The template can be accessed at the following link: template (artikel anda boleh dituliskan dalam bahasa Indonesia atau bahasa inggris).

In addition, we invite the researcher to become part of the reviewer team for our journal.
Please access the following page: reviewer registration. We will contact you if your application matches our journal requirements

For further information, don't hesitate to contact us via email: [email protected]

CALL FOR REVIEWER

2023-09-07

Reviewer Criteria:

  1. Applicants must have published articles as either the first author or corresponding author in a peer-reviewed scientific journal within the last five years, at a level appropriate for their career stage.  
  2. Candidates must be employed full-time as a lecturer or researcher at an accredited or reputable educational or research institution.  
  3. A Google Scholar or SCOPUS account is required.  
  4. A minimum of a master's degree or its equivalent is necessary.  
  5. Experience in managing scientific journals or serving as a reviewer is considered a valuable asset.  

For the reviewer registration form, please use the following link: "https://bit.ly/FormReviewerESDS"

Email: [email protected] 

Emerging Statistics and Data Science Journal
Volume 3, Number : 3
October 30, 2025
Current Issue

Vol. 4 No. 1 (2026): Emerging Statistics and Data Science Journal

Published: January 31, 2026

Analisis Statistik Spasial Prevalensi Diabetes Melitus: Penerapan Indeks Moran dan LISA di Kapanewon Sleman Tahun 2020–2023

Analisis Statistik Spasial Prevalensi Diabetes Melitus: Penerapan Indeks Moran dan LISA di Kapanewon Sleman Tahun 2020–2023

Muhammad Arif Fahrudin Alfana (1), Zia Nur Madani (2), Ajeng Qonita Fadhilah (3), Yasmine Amelia Rahmawati (4)
(1) Departemen Geografi Lingkungan, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia ,
(2) Departemen Geografi Lingkungan, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia ,
(3) Departemen Geografi Lingkungan, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia ,
(4) Departemen Geografi Lingkungan, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
0

Penerapan Principal Component Analysis (PCA) dan K-Medoids Clustering untuk Pengelompokan Data Inventaris Mesin

Penerapan Principal Component Analysis (PCA) dan K-Medoids Clustering untuk Pengelompokan Data Inventaris Mesin

Ananda Nabila Azizah - (1), Dina Tri Utari (2), Purnama Akbar (3)
(1) 1Jurusan Statistika, Universitas Islam Indonesia, Jl. Kaliurang Km. 14,5. Krawitani, Umbulmartani, Kec. Ngemplak, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55584, Indonesia ,
(2) 1Jurusan Statistika, Universitas Islam Indonesia, Jl. Kaliurang Km. 14,5. Krawitani, Umbulmartani, Kec. Ngemplak, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55584, Indonesia ,
(3) 1Jurusan Statistika, Universitas Islam Indonesia, Jl. Kaliurang Km. 14,5. Krawitani, Umbulmartani, Kec. Ngemplak, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55584, Indonesia
783-792
0

Analisis Faktor-Faktor Kemiskinan di Provinsi Sulawesi Tengah Tahun 2013-2023 Menggunakan Model Koyck

Analisis Faktor-Faktor Kemiskinan di Provinsi Sulawesi Tengah Tahun 2013-2023 Menggunakan Model Koyck

Faiz Mustafid Amna (1), Edy Widodo (2), Yazid Mumtaz Shiddiq (3), Rosyada Laili Qonita (4), Aulia Safira (5), Refgina Refgina (6)
(1) Departemen Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia, Jl. Kaliurang KM 14.5, Yogyakarta 55584, Indonesia ,
(2) Departemen Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia, Jl. Kaliurang KM 14.5, Yogyakarta 55584, Indonesia ,
(3) Departemen Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia, Jl. Kaliurang KM 14.5, Yogyakarta 55584, Indonesia ,
(4) Departemen Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia, Jl. Kaliurang KM 14.5, Yogyakarta 55584, Indonesia ,
(5) Departemen Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia, Jl. Kaliurang KM 14.5, Yogyakarta 55584, Indonesia ,
(6) Departemen Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia, Jl. Kaliurang KM 14.5, Yogyakarta 55584, Indonesia
793-806
0

Pengelompokan Kabupaten/Kota di Provinsi Jawa Tengah Berdasarkan Indikator Pendidikan Menggunakan K-Medoids

Pengelompokan Kabupaten/Kota di Provinsi Jawa Tengah Berdasarkan Indikator Pendidikan Menggunakan K-Medoids

Muhammad Ridho Alfarid Alfarid (1), Azanzi Bagus Pratama (2), Lintang Amir Faiq (3), Surya Purnama (4), Muhammad Irfan Hayyi (5), Muhammad Raihan Al Anshori (6), Edy Widodo (7)
(1) Program Studi Statistika, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(2) Program Studi Statistika, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(3) Program Studi Statistika, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(4) Program Studi Statistika, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(5) Program Studi Statistika, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(6) Program Studi Statistika, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(7) Program Studi Statistika, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman Daerah Istimewa Yogyakarta, 55584, Indonesia
807-818
0

Penerapan Metode Seasonal ARIMA dalam Peramalan Konsumsi Listrik di PT PLN (Persero) Area Magelang

Penerapan Metode Seasonal ARIMA dalam Peramalan Konsumsi Listrik di PT PLN (Persero) Area Magelang

Aulia Nasywa Azzulfa (1), Arum Handini Primandari (2)
(1) Program Studi Statistika, Unversitas Islam Indonesia, Jalan Kaliurang KM 14,5, Kabupaten Sleman, Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(2) Program Studi Statistika, Unversitas Islam Indonesia, Jalan Kaliurang KM 14,5, Kabupaten Sleman, Daerah Istimewa Yogyakarta, 55584, Indonesia
819-830
0

Peramalan Jumlah Penumpang Pesawat di Bandar Udara Internasional Yogyakarta dengan Triple Exponential Smoothing

Peramalan Jumlah Penumpang Pesawat di Bandar Udara Internasional Yogyakarta dengan Triple Exponential Smoothing

Azizah Arifiana (1), Rohmatul Fajriyah (2)
(1) Jurusan Statistika FMIPA, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman, Daerah Istimewa Yogyakarta, 55584, Indonesia ,
(2) Jurusan Statistika FMIPA, Universitas Islam Indonesia, Jl. Kaliurang KM 14,5, Kabupaten Sleman, Daerah Istimewa Yogyakarta, 55584, Indonesia
831-840
0
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