Jurnal Statistika Universitas Muhammadiyah Semarang

 

Journal Title: Jurnal Statistika Universitas Muhammadiyah Semarang
Print ISSN: 2338-3216
Online ISSN: 2528-1070
Publication schedule: 2 issues per year (May and November)
Editor-in-chief: Fatkhurokhman Fauzi, S.Si., M.Stat
Language: English
Publisher: Department of Statistics UNIMUS
   Universitas Muhammadiyah Semarang
Organized: Department of Statistics UNIMUS
   Universitas Muhammadiyah Semarang
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The main aim of the Jurnal Statistika [ISSN 2338-3216 (Print); 2528-1070 (Online)] is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of applied statistics and mathematics. This is a broad-based journal covering all branches of statistics, mathematics, and interdisciplinary applied Statistics. Jurnal Statistika is a peer-reviewed journal and published two times a year by Universitas Muhammadiyah Semarang.


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Posted: 2023-05-20
 
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Vol 11, No 1 (2023): Jurnal Statistika UNIMUS

Table of Contents

Articles

FOURIER SERIES APPLICATION FOR MODELING “CHOCOLATE” KEYWORD SEARCH TRENDS IN GOOGLE TRENDS DATA
Andrea Tri Rian Dani, Fachrian Bimantoro Putra, Muhammad Aldani Zen, Vita Ratnasari, Qonita Qurrota A'yun
DOI : 10.26714/jsunimus.11.1.2023.1-9
Abstract view : 19 times
PDF
1-9
Auxiliary Information Based Generally Weighted Moving Average for Process Mean
Istin Fitriana Aziza, Wirajaya Kusuma, Siti Soraya
DOI : 10.26714/jsunimus.11.1.2023.10-21
Abstract view : 20 times
PDF
10-21
Forecasting the Number of Passenger at Jenderal Ahmad Yani Semarang International Airport Using Hybrid Singular Spectrum Analysis-Neural Network (SSA-NN) Method
Tresiani Yunitasari, M. Al Haris, Prizka Rismawati Arum
DOI : 10.26714/jsunimus.11.1.2023.22-33
Abstract view : 9 times
PDF
22-33
ANALYSIS OF THE EFFECT TOURISM SECTOR AND OPEN UNEMPLOYMENT ON ECONOMIC GROWTH IN BALI PROVINCE
Layla Fickri Amalia, Putu Gita Suari Miranti
DOI : 10.26714/jsunimus.11.1.2023.34-44
Abstract view : 17 times
PDF
34-44
MODELING COUNT DATA WITH OVER-DISPERSION USING GENERALIZED POISSON REGRESSION: A CASE STUDY OF LOW BIRTH WEIGHT IN INDONESIA
M. Fathurahman
DOI : 10.26714/jsunimus.11.1.2023.45-60
Abstract view : 11 times
PDF
45-60