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All Journal Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Journal of Indonesian Management
Zahra Indah Ferina
Department of Accountancy, Faculty of Economic, Universitas Dehasen Bengkulu
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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The Influence of CAR, LDR and BOPO on ROA at Conventional State-Owned Banks Listed on the Indonesia Stock Exchange Ferona Gustiana; Ahmad Soleh; Zahra Indah Ferina
Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 2 No. 4 (2021): OKTOBER
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/emak.v2i4.175

Abstract

The purpose of this study was to determine the effect of CAR, LDR and BOPO on ROA at conventional state-owned banks listed on the Indonesia Stock Exchange. The sample in this study were four conventional banks in Indonesia, namely BNI, BRI, BTN and Bank Mandiri. The study was conducted from 2010 to 2019. The data collection method used the documentation method. Data analysis used was multiple linear regression, coefficientof determination and hypothesis testing. From the calculation of the multiple linear regression equation, it can be seen that the effect of CAR, LDR and OEOI on ROAat conventional state-owned banks results in regression test results: Y = 11.602 + 0.01X1 + 0.005 X2 - 0.108 X3. The coefficient of determination obtained by R square is 0.785. This means that X1 (CAR), X2 (LDR) and X3 (BOPO) have an effect on ROA (Y) by 78.5% while the rest (100% - 78.5% = 21.5%) are influenced by variables. others who were not examined in this study. The t test results show that there is a significant effect separately between CAR, LDR and BOPO on ROA at conventional state-owned banks. The results of the F test show a significance value of 0.000, because the significant value is less than 0.05, it means that CAR, LDR and BOPO have a significant effect together on ROA at conventional state-owned banks. Keywords: CAR, LDR, BOPO, ROA 1) The Candidate of Bachelor in Economics (Accounting) 2) Supervisors.
The Effect of Price and Design of Honda Beat Motorcycle Products on Purchase Decisions at Honda Dealers PT. PAS Sudirman, Bengkulu City Ditantio Pramana; Oni Yulianti; Zahra Indah Ferina
Journal of Indonesian Management (JIM) Vol. 1 No. 1 (2021): March
Publisher : Penerbit ADM Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2832.507 KB) | DOI: 10.53697/jim.v1i1.115

Abstract

This study aims to determine the effect of price (X1), product design (X2) Honda Beat motorcycles on purchasing decisions (Y) at Honda Dealer PT. PAS Sudirman Bengkulu City. This type of research is descriptive quantitative research, using Random Sampling technique. The data analysis techniques used are Normalization Test, Validity Test, Multicorlinearity Test, Reliability Test, T Test, F test, Multiple Linear Regression, Multiple Correlation Analysis (R), Determination Analysis (R2), using the SPSS program for windows 23.00 . The number of samples is 75 respondents. The results show that it is known from the multiple linear regression equation, Y = 29.391 + 0.083 (X1) + 0.396 (X2) where Y is the purchase decision, the beta coefficient (B) is 29.391, which means that if there are no price and product design variables, the decision purchases amounted to 29,391. The regression coefficient for the price variable (X1) is 0.083, meaning that if the product design has a fixed value and the price increases by 1, the purchase decision will increase by 0.083. The coefficient is positive, meaning that there is a positive relationship between price and purchase decisions, the higher the store price, the higher the purchase decision. The value of the product design coefficient (X2) is 0.396, which means that if the other independent variable (price) remains constant and the product design increases by 1%, the purchase decision (Y) will increase by 0.396. The positive coefficient means that there is a positive relationship between product design and purchase decisions, the better the product design, the greater the chances of consumers in deciding to buy/shop..
Co-Authors Ahmad Soleh Ditantio Pramana Ferona Gustiana Oni Yulianti