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Estimation of Generalized Pareto Distribution Parameters in Traffic Accident Loss Data Modeling Rabiu Hamisu Kankarofi; Galang Hawy Alfarisi; Moch Panji Agung Saputra
International Journal of Global Operations Research Vol 3, No 2 (2022)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v3i2.165

Abstract

The problem of traffic accidents in Indonesia has a high level of risk. In an effort to minimize losses due to traffic accidents, it is necessary to study the data and characteristics of traffic accidents and identify these events as extreme events. This study was conducted to find out how to estimate the shape and scale parameters using Maximum Likelihood Estimation (MLE), and to explore data on traffic accident losses in Indonesia. The method used to analyze the extreme value of traffic accident losses is the Extreme Value Theory. One approach to identify extreme values is Peaks Over Threshold which follows the Generalized Pareto Distribution (GPD). Traffic accident loss data is divided into three types based on the cause, namely driver negligence, vehicle quality, and other external factors in the period (2008-2017). Estimation of shape and scale parameters is obtained through MLE which is then solved by Newton Raphson because it produces equations that are not closed form. This study resulted in an estimate of the shape and scale of the GPD distribution parameter, as well as a confidence interval (1-α) of 100% with of 5%. In addition, it is concluded that the parameters obtained from the estimation have the same characteristics for each type of risk analyzed, but have different parameter values. Based on parameter estimation, GPD distribution is obtained from each risk which is expected to be useful for related parties in analyzing the number of traffic accident losses in the next period to consider steps that can be taken to reduce losses due to traffic accidents.
Forecasting Human Development Index With Double Exponential Smoothing Method And Acorrect Determination Agum Surya Ramadhan; Agung Prabowo; Rabiu Hamisu Kankarofi; Ibrahim Mohammed Sulaiman
International Journal of Business, Economics, and Social Development Vol 4, No 1 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v4i1.375

Abstract

Human development is now seen as a measure of the success of the development of a nation which is closely related to the economic, social, cultural, political and environmental fields. The success of human development is measured based on the Human Development Index (IPM). Boyolali Regency is one of the regencies in Central Java Province which has diverse and abundant natural resources. The large potential of natural resources owned should be in line with the quality of human development. However, it turns out that this is not in line with the HDI value of Boyolali Regency which is still below the average HDI value of Central Java. So that the Boyolali government continues to strive to maximize the potential and increase the HDI value. Based on this, it is necessary to do forecasting as a reference to maximize the level of human development in Boyolali Regency in the next few years. In this study, HDI forecasting in Boyolali Regency was carried out using the Double Exponential Smoothing method from Brown with the data used is HDI data in Boyolali Regency from 2011 to 2021. The data used was obtained from the Central Bureau of Statistics (BPS) Boyolali Regency. HDI forecasting was also carried out using the arithmetical method, and the best forecasting results were compared between the two methods based on the mean absolute percentage error (MAPE). Forecasting results using the Double Exponential Smoothing method produce the best alpha smoothing parameter values of 0.91 and MAPE values of 0.4061%. Meanwhile, using the arithmetic series method, the MAPE is 0.4704%. Both methods produce MAPE values with very good criteria, so that both methods can be used for forecasting. However, based on the criteria for the smallest MAPE value, the Double Exponential Smoothing method is used. The results of the HDI forecasting using the Double Exponential Smoothing method for 2022, 2023 and 2024 are 74.61, 74.81 and 75.02 respectively. While the results of forecasting with arithmetical method for the same years are 74.93, 75.45, and 75.98.
Business Development through Literacy-Based Digital Financial Services for Agribusiness Microfinance Institutions Moch Panji Agung Saputra; Rabiu Hamisu Kankarofi; Fahmi Sidiq
International Journal of Ethno-Sciences and Education Research Vol 3, No 1 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v3i1.401

Abstract

The agricultural sector plays an important role for the welfare of society. Agriculture plays a role as a producer of food, employment, and a source of foreign exchange for the country. However, the Indonesian agricultural sector still has several problems, namely: 1) Farming capital; 2) Agricultural technology tools; and 3) Marketing of agricultural products. In this regard, one solution that can solve the problem jointly is the existence of an Agribusiness Micro Finance Institution or also known as Lembaga Keuangan Mikro Agribisnis (LKM-A) in Indonesian. LKM-A is a liaison for the easy access of agricultural businesses to various productive resources, namely: capital, technology, and marketing. Along with the role of helping the farming community, there are also several problems faced by LKM-A itself. LKM-A has three main problems, namely 1) LKM-A's limited income because it only pivots on one business scheme, namely members' savings and loans; 2) The management system is still conventional due to lack of access to technology; and 3) Financial services from LKM-A are still limited and conventional. Therefore, this study aims to solve the LKM-A problem. Solutions as problem solvers that will be implemented in this study through theoretical and practical assistance (guidance and training) consist of: 1) Developing business schemes to increase LKM-A income and member welfare, through farming capital financing schemes, agricultural technology rental services, and digital-based marketing of agricultural products; 2) Develop digital-based business management using several supporting systems such as the Database Management System (DBMS), Microsoft outlook, google spreadsheet, and Enterprise Resource Planning (ERP); 3) Develop digital financial system-based business services with digital payments through chip-based E-Money, fintech E-wallet, EDC, and QRis.
Analysis Of Outpatient Satisfaction Level Of Clinical Pharmaceutical Services At Puskesmas Bungursari Tasikmalaya fahmi sidiq; Rabiu Hamisu Kankarofi
International Journal of Research in Community Services Vol 4, No 2 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v4i2.423

Abstract

Pharmaceutical service agencies to carry out quality administration in the health sector. Quality administration must be seen, one of which is by checking the level of patient satisfaction. Patients are likely to be a broad and quality confirmation action in health services, which means that patient satisfaction must be an act that cannot be separated from the nature of health services. The motivation behind this research is to determine the level of short-term patient satisfaction with drug administration at the Bungursari Tasikmalaya Health Center. This examination is descriptive non-experimental by chance testing, sharing information using a survey. The results showed the level of short-term patient satisfaction with drug administration at the Bungursari Tasikmalaya Public Health Center pharmacy in all aspects with a level where the appearance aspect (Tangible) had a satisfaction level of 79.81% (satisfied), the empathy component (Empaty) had a typical satisfaction with a level of 79.63% (satisfied), the element of the satisfaction level of reliability (Reliability) has a satisfaction level of 79.44% (satisfied), the responsiveness component has a satisfaction level of 77.98% (satisfied) and the element of certainty (Assurance) has a typical patient satisfaction level of 81.46% (very satisfied). Considering the consequences of examining the level of outpatient patient satisfaction with pharmaceutical services at the Bungursari Tasikmalaya Health Center pharmacy installation with the Spearman Rank Test for each variable, each variable obtained a value less than 0.5, it can be concluded that there is a significant relationship between the quality of pharmaceutical services and patient satisfaction the road to services at the Bungursari Tasikmalaya Health Center.
Utilization of the Kahoot Games Application for Understanding Economic Learning in High School Students Grida Saktian Laksito; Rabiu Hamisu Kankarofi
International Journal of Ethno-Sciences and Education Research Vol 3, No 2 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v3i2.413

Abstract

Learning Economics is one of the lessons that need to be well understood by students. With the existence of the economy, students will have a basis for starting and managing the economy and businesses that will be built. Still, there are problems with students of SMAN 1 Majalaya, where they lack enthusiasm and feel less active in learning economics lessons. There needs to be an improvement in learning methods so that their interest in and understanding of basic economics increases, one of which is by utilizing the Kahoot Games application. This study used a quantitative approach with the method of testing the oneway ANOVA hypothesis with a total of 42 respondents who were students of class XI IPS 3 at SMAN 1 Majalaya. The results of the study explain that the use of the learning activity application using the Kahoot Games application has increased students' understanding of the importance of the economy in the daily lives of students so that participants who are Majalaya 1 Public High School students will easily understand basic economics lessons and begin to manage their finances properly.