Claim Missing Document
Check
Articles

Found 3 Documents
Search

Estimation of Generalized Pareto Distribution Parameters in Traffic Accident Loss Data Modeling Kankarofi, Rabiu Hamisu; Alfarisi, Galang Hawy; Saputra, Moch Panji Agung
International Journal of Global Operations Research Vol. 3 No. 2 (2022): International Journal of Global Operations Research (IJGOR), May 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.
Business Development through Literacy-Based Digital Financial Services for Agribusiness Microfinance Institutions Saputra, Moch Panji Agung; Kankarofi, Rabiu Hamisu; Sidiq, Fahmi
International Journal of Ethno-Sciences and Education Research Vol. 3 No. 1 (2023): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

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.
Utilization of the Kahoot Games Application for Understanding Economic Learning in High School Students Laksito, Grida Saktian; Kankarofi, Rabiu Hamisu
International Journal of Ethno-Sciences and Education Research Vol. 3 No. 2 (2023): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

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.