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All Journal Seminar Nasional Teknologi Informasi Komunikasi dan Industri Zeta - Math Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Jurnal Ekonomika Dan Bisnis
Rahmadeni Rahmadeni
Jurusan Matematika Fakultas Sains dan Teknologi UIN Suska Riau
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences

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Journal : zeta - math journal

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Model Spatial Autoregressive pada Tingkat Angka Kematian Korban Covid-19 di Provinsi Riau Rahmadeni, Rahmadeni; Dina, Rahima
Zeta - Math Journal Vol 9 No 1 (2024): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.1.50-59

Abstract

Riau province has the most cases on Sumatra island and has more COVID 19 cases, the third province in Indonesia. Spread of COVID 19 disease in spatial regression analysis with multiple Lagrange spatial lags to determine the dependence of spatial lags using spatial autoregression. This method can identify spatial autocorrelation in the spread pattern of COVID 19 disease in the county as well as determine the cause of COVID 19 mortality. Results of autoregression analysis According to space, there are three variables that significantly affect the COVID 19 mortality rate: poverty, unemployment and population density. With the SAR model results, koefisisen was determined to be 98.91%. This means that poverty, unemployment and population density are the factors responsible for 98. 91% of the COVID 19 mortality rate. The rest (1. 09%) is influenced by other factors outside the model.
Estimasi Pemberian Pinjaman Kredit Usaha Rakyat (KUR) di Bank BRI Unit Tangkerang Pekanbaru menggunakan Regresi Logistik Safitri, Elfira; Hazirah, Azra; Rahmadeni, Rahmadeni
Zeta - Math Journal Vol 9 No 1 (2024): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.1.1-9

Abstract

People’s Business Credit (KUR) is vulnerable to unwanted risks such as bad credit. The reduce bad credit, banks need to analyze whether customer debtors meet the requirements for credit. The aim of this research is to determine the logistic regression analysis model and determine the factors that influence the provision of People's Business Credit (KUR) at Bank BRI Unit Tangkerang Pekanbaru. The method used is the Logistic Regression method. Based on the research results, it was found that the factors that influence the provision of People's Business Credit (KUR) at Bank BRI Unit Tangkerang Pekanbaru are business turnover and business profit. So the logistic equation is obtained with the resulting logit function being g(x) = -11.587+0.501x_1+2.549x_2. The calcification value for granting People's Business Credit (KUR) using logistic regression is 93.84%.
Co-Authors Abdiana Ilosa, Abdiana Ari Pani Desvina Darni Darni Dina, Rahima Egianta, Anggun Nidia Elfira Safitri Hakmi Wahyudi Hazirah, Azra Heikal, Jerry Nurrahmi Hayani Ridha, Irfan Saipul Al Sukri Yendra, Rado Zulfahmi Zulfahmi Zulhaida, Zulhaida