REGISTRATION |
---|
Editorial Team |
Focus and Scope |
Indexing |
Author Guidelines |
Peer Review Process |
List of Reviewers |
Publication Ethics |
Online Submission |
Plagiarism Policy |
Licensing Terms |
Contact |
UNP Journal of Statistics and Data Science
Nama Journal Initials E-ISSN P-ISSN Editor in Chief Organized
|
UNP Journal of Statistics and Data Science UJSDS 2985-475X Dr. Syafriandi M.Si Organized by Department of Statistics – Universitas Negeri Padang UNP |
UNP Journal of Statistics and Data Science is an open access journal (e-journal) launched in 2022 by Department of Statistics, Faculty of Science and Mathematics, Universitas Negeri Padang. UJSDS publishes scientific articles on various aspects related to Statistics, Data Science, and its application. Articles can be in the form of research results, case studies, or literature reviews. All papers were reviewed by peer reviewers consisting of experts and academicians across universities. This journal is published 4 times a year.
Terbitan Terkini
Articles
-
Comparison of Cox Proportional Hazard Models with Interaction and Without Interaction in Heart Failure Patients
-
Cox-Stratified Model in Relationship Analysis between Employee Mental Health and Resignation Decision
-
Survival Analysis of Heart Failure Patients Using the Cox Proportional Hazard Model and Weibull Regression
-
Binary Logistic Regression to Factors Affecting Unmet Need for Limiting in East Java, Indonesia
-
Application of K-Modes Clustering Method to Identify Low Birth Weight Factors in Central Sulawesi Province
-
Logit And Complementary Log-Log Modeling (Case Study: Factors Influencing Birth Control Use in Papua 2017)
-
Mortality Trends in Heart Failure Patients : A Study Using Cox Regression Models Tren Mortalitas pada Pasien Gagal Jantung: Sebuah Studi Menggunakan Model Regresi Cox
-
Analisis Sentimen Program MSIB pada Aplikasi X (Twitter) Menggunakan Algoritma Naïve Bayes
-
An Application X-bar Chart and Statistical Process Control With R Package
-
K-Means Cluster Analysis for Grouping Small and Medium Enterprises (SMEs) in Pesisir Selatan Regency
-
Grouping of Provinces in Indonesia Based on Active Family Planning Participants Using Modern Methods Using Fuzzy C-Means
-
Perbandingan metode Double Moving Average(DMA) dan Double Exponential Smoothing (Brown) Terhadap Tingkat Pengangguran Terbuka (TPT) di Kota Padang Panjang.
-
Forecasting Analysis of Total Coconut Production in Padang Pariaman Using the Double Exponential Smoothing Holt
-
Penerapan Algoritma Extreme Gradient Boosting dengan ADASYN untuk Klasifikasi Rumah Tangga Penerima Program Keluarga Harapan di Provinsi Sumatera Barat
-
Peramalan Total Nilai Ekspor Indonesia Menggunakan Metode Singular Spectrum Analisis