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All Journal Media Statistika EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Indonesian Journal of Statistics and Its Applications
Zulkarnain, Rizky
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Other

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UTILIZATION OF STUDENT’S T DISTRIBUTION TO HANDLE OUTLIERS IN TECHNICAL EFFICIENCY MEASUREMENT Zulkarnain, Rizky; Djuraidah, Anik; Sumertajaya, I Made; Indahwati, Indahwati
MEDIA STATISTIKA Vol 14, No 1 (2021): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.14.1.56-67

Abstract

Stochastic frontier analysis (SFA) is the favorite method for measuring technical efficiency. SFA decomposes the error term into noise and inefficiency components. The noise component is generally assumed to have a normal distribution, while the inefficiency component is assumed to have half normal distribution. However, in the presence of outliers, the normality assumption of noise is not sufficient and can produce implausible technical efficiency scores. This paper aims to explore the use of Student’s t distribution for handling outliers in technical efficiency measurement. The model was applied in paddy rice production in East Java. Output variable was the quantity of production, while the input variables were land, seed, fertilizer, labor and capital. To link the output and inputs, Cobb-Douglas or Translog production functions was chosen using likelihood ratio test, where the parameters were estimated using maximum simulated likelihood. Furthermore, the technical efficiency scores were calculated using Jondrow method. The results showed that Student’s t distribution for noise can reduce the outliers in technical efficiency scores. Student’s t distribution revised the extremely high technical efficiency scores downward and the extremely low technical efficiency scores upward. The performance of model was improved after the outliers were handled, indicated by smaller AIC value.
Determinan Perilaku Penggunaan Aplikasi BYOND by BSI: Peran Literasi Keuangan Digital, Kegunaan, dan Persepsi Biaya Zulkarnain, Rizky; Amri, Andi
Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS) Vol 7 No 3 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/ekuitas.v7i3.9100

Abstract

Digital transformation in the Sharia banking industry currently requires actual technology adoption by customers to maintain organizational competitiveness. This study aims to analyze the determinants of actual usage behavior regarding the BYOND by BSI application by integrating cognitive and economic factors within the Mobile Technology Acceptance Model (MTAM) framework. Utilizing a quantitative approach, data were gathered from 100 respondents in the Jabodetabek area through purposive sampling techniques. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that Mobile Usefulness significantly influences Behavior Intention. Furthermore, Behavior Intention acts as a full mediator in the relationship between perceived usefulness and actual usage behavior. Within the urban Jabodetabek sample, Digital Financial Literacy does not exert a significant impact on application adoption. Conversely, Mobile Perceived Cost shows a significant direct effect on Use Behavior. These results offer implications for Sharia banking management regarding the importance of utility value and cost transparency in maintaining customer retention within the digital ecosystem.
Determinant Factors of Working Children based on Conditional Logistics Regression for Matched Pairs Data: Determinan Anak Bekerja Berdasarkan Model Regresi Logistik Bersyarat untuk Data Berpasangan Zulkarnain, Rizky; Listianingrum, Tri; Notodiputro, Khairil Anwar
Indonesian Journal of Statistics and Applications Vol 5 No 1 (2021)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i1p161-172

Abstract

Working children may create problem since it relates to human right as well as to the development of children especially in getting sufficient education. This paper discusses determinant factors of working children by using conditional logistics regression for matched pairs data. Matching is employed to adjust confounding factors and to avoid bias. In this paper there are three confounding factors that have been considered, i.e. residential area, gender, and income of household head. The results showed that the conditional regression model outperformed the standard regression model. The number of household members, whether the head of household was married or single, age of the head of household, educational attainment of the head of household, as well as the work status of the head of household were the determinant factors of the working children.
Co-Authors Amri, Andi Anik Djuraidah I Made Sumertajaya Indahwati Listianingrum, Tri