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All Journal JMM UNRAM (Jurnal Magister Manajemen Universitas Mataram) Al-Buhuts (e-journal)
Alim Syariati
UIN Alauddin Makassar
Humanities Economics, Econometrics & Finance Education Social Sciences Other

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ANALISIS DISKRIMINAN DALAM MEMPREDIKSI KINERJA PERBANKAN DI INDONESIA Sumarlin Sumarlin; Annisa Juniarta Musda; Alim Syariati
JMM UNRAM - MASTER OF MANAGEMENT JOURNAL Vol. 8 No. 3 (2019): JMM September 2019
Publisher : Master of Management, Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.032 KB) | DOI: 10.29303/jmm.v8i3.417

Abstract

This study aims to determine the contribution of financial ratios into the classification of banks’ performance into good, fairly good and less good by using discriminant analysis. This research is quantitative with data amounted from 34 banks. The results of five banking financial ratios that can distinguish the status of the banking performance level is CAR, ROA, ROA and NPL. Four variables have a significant influence in differentiating the well-performing banks,  the fairly good and less good. First equation to predict differences in banking groups is Non-Performing Loan. Second discriminant equation shows that the ratio predicting the most dominant group differences is ROA.
Construction of Macroeconomic Variables on Financial Inclusion in Indonesia Abdul Wahab; Qarina Qarina; Alim Syariati; Muhammad Dwi Aprinandhi
Al-Buhuts Vol. 18 No. 1 (2022): Al-Buhuts
Publisher : Institute Agama Islam Negeri (IAIN) Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30603/ab.v18i1.2599

Abstract

This study aims to determine the construction of macroeconomic variables and the level of financial inclusion in Indonesia. The variables in this study are the Gini ratio, poverty, economic growth (GDP), and the open unemployment rate as independent variables and financial inclusion as the dependent variable. The analysis technique is in the form of panel data regression using the best model of the three panel data regression models, namely the common effect model, fixed effect model, and random effect model. The model chosen based on the results of the Hausman test and Chow test is a random effect model. The value of the coefficient of determination is 21.6%. By using a random effects model that was processed using the Eviews 12 program, the results obtained that the Gini ratio variable had a positive and insignificant effect on financial inclusion, the percentage of poor variable had a negative and significant effect on financial inclusion, the variable economic growth (GDP) had a positive and significant effect on financial inclusion, The open unemployment rate variable has a negative and significant effect on financial inclusion.
Co-Authors Abdul Wahab Annisa Juniarta Musda Muhammad Dwi Aprinandhi Qarina Qarina Sumarlin Sumarlin