Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Statistika dan Aplikasinya
Kelvin Gunawan
Departemen Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Analisis Regresi Logistik Ordinal pada Asuransi Kredit Perdagangan Domestik Kelvin Gunawan; Ruhiyat; I Gusti Putu Purnaba
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06220

Abstract

One of the main activities that support the national economy is domestic trade. However, domestic trade is faced with various risks. One risk is that the buyer fails to fulfil his obligation to pay. The seller can overcome this risk by purchasing a domestic trade credit insurance product from an insurance company. The premium rate must be calculated correctly so that the insurance company does not suffer losses. Premium rates can be grouped based on several factors. Ordinal logistic regression analysis can be used to group premium rates and identify factors that affect premium rate groups. The maximum likelihood method can be used to estimate the parameters of the ordinal logistic regression model. In this study, two logit models were produced, and the premium rate group was significantly affected by the payment tenor, central credit limit, and the type of commodity. Overall, the classification accuracy value generated from the ordinal logistic regression model that has been built is 57.45%.
Co-Authors I Gusti Putu Purnaba Ruhiyat