Papers by Haposan Banjarnahor
International Journal of Engineering & Technology, 2018
Indonesia’s oil and gas industry is the huge contributor to government export revenues and foreig... more Indonesia’s oil and gas industry is the huge contributor to government export revenues and foreign exchange and contributes a substantial amount to state revenue. However, the total of oil production declined around 4,41% per year since 2007, and the sharpest decline was in 2013. This situation gives impact to the performance of oil and gas industry, especially government revenues. Therefore, the purpose of this study is to measure the financial performance of Oil and Gas Industry and to examine the significance differences between the financial performance before and after the decline in oil and gas production. The data were collected from financial report and the period was divided into two periods, before the decline in production (2011 – 2012) and after the decline in production (2014 – 2015). Paired sample t-test and financial ratio analysis (FRA) were used to analyzed the data. The finding shows that the largest oil and gas company in Indonesia is still in good financial condi...
SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa, Oct 20, 2020
This research is conducted to test impact of CAR (Capital Adequasi Ratio), NPL (Net Perfoming Loa... more This research is conducted to test impact of CAR (Capital Adequasi Ratio), NPL (Net Perfoming Loan), and LDR (Loan to Deposit Ratio) to ROA (Return On Assets). This research includes all General Bank assigned in Indonesian stockExchange (IDX) which provides financial statement from 2014 until 2018. All data obtained from bank yearly report from 2014 until 2018. Technical analysis which being used in this research is classical assumption test which includes normality, multicollinearity, autocorrelation, and heteroscedasticity test. Side test is to use multiple linear regression test using least square equation and hypothesis test using t-statistic to test partial regression coefficient and F-statistic simultant regression coefficient with significant level 5%. As a result of normality test shows that data is normally distributed. Based on the multicollinearity test, the autocorrelation test, and the heterokedasticity test no variables deviate from the classical assumptions. The results showed that the CAR variable had a significant effect on ROA, H1 was accepted, NPL did not have a significant effect on ROA, H2 was rejected and LDR had no significant effect on ROA, H3 was rejected.
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Papers by Haposan Banjarnahor