The Purpose of this study is (1) to analyze financial distress as predictor variables of financial difficulty levels banking which is listing on the Stock Exchange (BEI), and (2) determine the financial ratios, including CAR, ROE, NPL, NIM, LDR, ROA, BOPO, and the primary reserve as predictor variables of financial distress in banking sector which is listing on the BEI. The population of this study were 38 banks which is listed on the BEI until December 31th, 2014. Number of samples were 30 banks by purposive sampling technique. The analysis tool of study used Logit regression because of dependent variable was dummy variable and the independent variables were a combination of metric and non-metric. The results showed (1) banks were listed on the BEI has good performance (financial difficulties at low levels), the analysis result of financial distress by using multiple predictor variables, such as CAR, ROE, NPL, NIM, LDR, BOPO and reserves' primary GWM has good average value where is level of accuracy (97.2) in classifying the bank's financial difficulties; (2) The hypothesis testing showed a number of variables such as CAR, ROE, NIM, LDR, and BOPO were not significant as a predictor of financial distress in banking where listed on the BEI. However, NPL and reserves' primary GWM were significant variable as predictor of financial distress in banking where listed on the BEI. Keywords: Reserves' primary GWM, Non-Performing Loan, Financial Distress
The success rate of information technology (IT) projects is still low. Based on one survey done in 1990s, only about 10% of software development project could be finished according to its planned budget and schedule. Another study in 1995 found that only 16.2% IT project succeed, and at the same time more than 31% IT projects were cancelled before finished. It has been found a lot of IT projects had been implemented with swelling budget. Although it is still debatable, one of the reasons of IT project implementation failure is because risk management in some IT projects is not implemented by the IT providers. The objectives of this research are to get knowledge and assess risks in implementing IT projects. This research also gives recommendations in mitigating IT project risks. In two projects that were used as sample of this research, it has been found some risks that could be happened in IT projects. That risks were then assessed based on the probability and its impact, and finally produced the recommendation for risk mitigation. All risks are described in the Risk Priority, moreover risk probability and impact is described in the probability-impact matrix from all of 4 levels. This research could improve the awareness of IT providers in Indonesia about the important of implementing IT risk management so that more IT projects in Indonesia could be run successfully.Keywords: Risk assessment, information technology project, impact, frequency
Grobogan is one of the main agricultural district, especially for food crops in Central Java. Paddy, corn and soybeans are potential agricultural commodities of Grobogan.The demand of these commodities is quite large. However, the productivity of paddy, corn, and soybeans in Grobogan turned out to be below the target set by the Government of Grobogan. It is required a means of identifying inefficiencies in paddy, corn, and soybeans which causes the production is under the target achievement.This study has a purpose is to look at how the level of efficiency of the use of factors of production in rice farming, corn, and soybeans in Grobogan. With the evaluation of the efficiency of some agricultural commodities in Grobogan, it is expected to be a basis of policy formulation in order to improve the agricultural sector in general and the welfare of farmers in particular. Food crop commodities where consist of paddy, corn, and soybeans are inefficient. In the calculation of technical efficiency, allocative efficieny and economics efficiency, all of that commodities have not efficient. These result have a recommendation to the farmers and stakeholders that the using of production factors should be decreased. Because, and inefficient of these commodities caused by over allocated of production factors. And also, inefficient condition assumed makes the government target of food croop commodities production could not been fulfilled
The increase in fuel prices will gradually have an impact on the capture fisheries sub-sector, especially the fishermen. Sail technology is an alternative that can be used to save fuel oil, although it is realized that this technology cannot completely replace the diesel motor that is commonly used in fishing operations. This study will explain the application opportunities of sail technology on fishing vessels for blue swimming crab (Portunus pelagicus) in the deep waters of the Java Sea. This fishing ground is more than 12 nautical miles from the coast. Using sail technology on fishing vessels is very dependent on the characteristics of wind speed and direction. This discussion explores the relationship between the west and east monsoons in the Java Sea with the direction of fishing trip. Technological difficulties and current challenge in sail technology on fishing vessel for blue swimming crab are identified. The possible ideas for future research in this field are also discussed.
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