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All Journal Jurnal Matematika: MANTIK Pedagogik Journal of Islamic Elementary School Jurnal Matematika UNAND Journal of Science and Technology Counseling and Humanities Review
Mutia Yollanda
Jurusan Matematika FMIPA Universitas Andalas Padang
Humanities Computer Science & IT Education Mathematics Neuroscience Other

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Journal : Journal of Science and Technology

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Penerapan Model Regresi Logistik Terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Sumatera Barat Tahun 2019 – 2021 Fitri Rahmah Ul Hasanah; Mutia Yollanda
Journal of Science and Technology Vol 2, No 2: September 2022
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v2i2.4383

Abstract

The human development index is an indicator that can measure the success of a region in developing human quality. The success of human development can be measured by how fundamental problems in society can be overcome, such as poverty, unemployment, and lack of access to public facilities. The increase in HDI in an area can be determined by several factors, including life expectancy (UHH) and the unemployment rate. One of the models that can be used to determine the factors that significantly affect the human development index is logistic regression, where logistic regression is an approach to making a predictive model in the form of the probability of a variable.The data used in this study are HDI, UHH, and unemployment rates in West Sumatra Province in 2019–2021. Based on the multicollinearity test, there is no relationship between UHH and the unemployment rate. This study was conducted to determine the factors that significantly affect the human development index of districts/cities in West Sumatra Province. Based on the results obtained, UHH has dramatically affected the HDI of districts/cities in West Sumatra Province over the last three years.
Analisis Pengaruh Variabel Moneter Terhadap Perkembangan Ekonomi Negara ASEAN Mutia Yollanda; Fitri Rahmah Ul Hasanah
JOSTECH Journal of Science and Technology Vol 3, No 1: Maret 2023
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v3i1.5741

Abstract

This study aims to determine the effect of inflation and exchange rates on ASEAN countries' gross domestic product (GDP). The data used is secondary data accessed through the world bank from 2019 to 2021, which consists of 30 data. The independent variables used in this data are exchange rates and inflation, while the dependent variable used is gross domestic product (GDP). The panel data regression used in this study includes the common effect model, the fixed effect model and the random effect model. Based on the Chow and Hausman tests conducted, the best model in this study was the random effect model (REM). The best equation in this research is given by the equation . his study uses robustness because the normality test on the classical assumption is not fulfilled. Based on the test results, the USD exchange rate and inflation variables have a significant effect on the GDP variable. While the inflation variable has no significant effect on the GDP variable.
Co-Authors Devianto, Dodi Fitri Rahmah Ul Hasanah Hazmira Yozza Pratiwi, Lidya Putra, Ade Herdian PUTRA, ROBI JAYA Putri Permathasari Weisha, Ghea Yaser, Mishbah El Zadrian Ardi