Bahri, Muhammad (2021) ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PERUSAHAAN PERBANKAN MENGGUNAKAN REGRESI DATA PANEL. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Investor dapat melihat kinerja perusahaan perbankan dengan return on asset (ROA) yang mengukur kemampuan perusahaan dalam memperoleh pendapatan dari operasional perusahaan. Untuk mengetahui faktor-faktor yang berpengaruh terhadap return on asset (ROA) dapat digunakan model regresi data panel. Model regresi data panel adalah model regresi untuk menyatakan hubungan antara satu variabel terikat (dependent variabel) dengan satu atau lebih variabel bebas (independent variabel) yang didasarkan pada data gabungan antara data cross section dan data time series. Terdapat pengaruh positif ROE, CAR, CKPN, dan NIM terhadap kinerja perusahaan perbankan sedangkan variabel yang berpengaruh negatif AB, APB, NPLG, NPLN, BOPO, dan LDR. Model regresi data panel yang sesuai pada faktor-faktor yang mempengaruhi kinerja perusahaan perbankan adalah random effect model dimana variabel yang signifikan adalah ROE, CAR/KPMM, APB, NPLG, NIM, dan BOPO. Model regresi data panel terbaik (random effect model) mampu menjelaskan 94,27% variabilitas data kinerja perusahaan perbankan sedangkan sisanya dijelaskan oleh variabel lain yang tidak masuk pada model.
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Investors can see the performance of banking companies with return on assets (ROA) which measures the company's ability to earn income from operational operations. To determine the factors that affect the return on assets (ROA) can be used panel data regression model. Panel data relationship model is a regression model to state between one dependent variable and one or more independent variables based on the combined data of cross section data and time series data. There is a positive influence of ROE, CAR, CKPN, and NIM on the performance of banking companies while the variables that have a negative effect on AB, APB, NPLG, NPLN, BOPO, and LDR. The panel data regression model that fits the factors that affect the performance of banking companies is a random effect model where the significant variables are ROE, CAR/KPMM, APB, NPLG, NIM, and BOPO. The best panel data regression model (random effect model) is able to explain 94.27% of the variability of banking company data while the rest is not explained by other variables that are not included in the model.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Regresi Data Panel, Return on Assets Panel Data Regression, Return on Assets |
| Subjects: | H Social Sciences > HG Finance > HG4028.V3 Valuation. Economic value |
| Divisions: | Faculty of Vocational > 49501-Business Statistics |
| Depositing User: | Muhammad Bahri |
| Date Deposited: | 13 Aug 2021 13:04 |
| Last Modified: | 21 Jun 2024 08:12 |
| URI: | http://repository.its.ac.id/id/eprint/86027 |
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