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RISS 인기검색어
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- 저자 : Basuki Rahmat (검색결과 3 건)
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Basuki Rahmat,Endra Joelianto,I Ketut Eddy Purnama,Mauridhi Hery Purnomo 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.12
Vehicle License Plate Images Segmentation is a substantial stage for developing an Automatic License Plate Recognition (ALPR) system. In this paper, it is considered an efficient segmentation algorithm for extracting vehicle license plate images using Cellular Neural Networks (CNN). The learning CNN templates values are formulated as an optimization problem to achieve the desired performances which can be found by means of Adaptive Fuzzy (AF) algorithm and Neuro-Fuzzy (NF) algorithm techniques. The main objective of the paper is to compare the performances of standard CNN, Adaptive Fuzzy (AF), and Neuro-Fuzzy (NF) on real data of several vehicle license plate images of standard Indonesia License Plates. The results are then compared with ideal vehicle license plate images. Quantitative analysis between ideal vehicle license plate images and segmented vehicle license plate images is presented in terms of Peak signal-to-noise ratio (PSNR), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE). From the performance analysis, the CNN template optimized by ANFIS algorithm is more recommended than the standard CNN edge detector or the CNN template optimized by Adaptive Fuzzy algorithm in vehicle license plate image segmentation. It is shown from the calculation that PSNR is 80% better than the standard CNN, and the resulted MSE and RMSE are 70% better than the standard CNN. Whereas the CNN template optimized by Adaptive Fuzzy algorithm achieves the PSNR 90% better than the standard CNN, but it yields the MSE and RMSE 40% worse than the standard CNN.
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Factors Influencing on Bank Capital and Profitability: Evidence of Government Banks in Indonesia
Anggraeni ANGGRAENI,Basuki BASUKI,Rahmat SETIAWAN 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.2
The purpose of this research is to see if liquidity, non-performing assets, sensitivity, and efficiency have an impact on the profitability and capital of Indonesian state-owned banks. A random sample of public banks was used in this study. The data was collected from the first quarter of 2014 to the fourth quarter of 2019. Purposive sampling was used as the sampling technique. According to the findings of this study, liquidity (LDR) had a significant positive effect on capital but had no significant effect on profitability. Productive asset quality as proxied by the ACA and NPL ratios did not affect profitability or capital. As for the sensitivity ratio, which was proxied by the ratio of NOP and IRR, there were differences in behavior. Sensitivity had no significant impact on profitability or capital, while NOP had a significant positive impact on capital but not on profitability. In terms of efficiency, both OER and FBIR had a significant effect on profitability and capital, although in different directions. OER has a significant negative impact on both profitability and capital. Fee-based income (FBIR) had a significant positive impact on capital, but it had the opposite effect on profitability.
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Sanju Kumar SINGH,Basuki BASUKI,Rahmat SETIAWAN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.4
The main objective of this research is to find out the effect of Non-Performing Loan (NPL) of Nepalese conventional banks. The population of this study is major commercial banks in Nepal and the data obtained for this study was from the period 2015–2019. This research used secondary data and it is collected from each bank’s annual report and GDP and Inflation taken from the World Bank database. The method used for data analysis in this study is multiple regression analysis. The study used NPL as a dependent variable and Return on Asset (ROA), Capital Adequacy Ratio (CAR), Bank Size, GDP growth, and Inflation as independent/explanatory variables. The result of this research shows that ROA, Bank Size, GDP, and Inflation have a significant effect on NPL but CAR does not have a significant effect on the NPL of banks. In other words, the GDP effect on NPL in this study shows a positive and significant effect while most studies show a negative effect. It demonstrates that when GDP growth increases, there is a significant increase in the growth of Nepalese banks even though there were no significant changes in income growth. Therefore, GDP growth has a positive and significant effect on the NPL of commercial banks. Thus, the bankers and policymakers need to consider GDP growth carefully while taking NPL-related decisions.
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