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All Journal Eksponensial BAABU AL-ILMI: Ekonomi dan Perbankan Syariah
Rinaldi, Rival
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Other

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Penerapan Metode Klasifikasi Multinomial Naive Bayes: (Studi Kasus: PT Prudential Life Samarinda Tahun 2019) Rinaldi, Rival; Goejantoro, Rito; Syaripuddin, Syaripuddin
EKSPONENSIAL Vol. 12 No. 2 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.473 KB) | DOI: 10.30872/eksponensial.v12i2.803

Abstract

Life insurance is a risk management service provide payment to policyholders in the event of a disaster that has been stipulated in the agreement. A classification system needs to be done to facilitate the company in making decisions to provide policies to customers. One system that can be used is multinomial Naive Bayes. Multinomial Naive Bayes is a simple probabilistic classification that has more than two groups or categories. An algorithm using Bayes theorem assumes all independent variables. The aim of this study is to obtain an accuracy level of 5 different proportions with the Naive Bayes multinomial method used in insurance customer payment status data. The data used is the customer data of PT. Prudential Life Samarinda in 2019 with the status of current premium payment, substandard and non-current and using 5 independent variables, namely income, age, amount of premium payment, sex and employment. The results of the measurement of classification accuracy using APER status premium payment on insurance customer data of PT. Prudential Life 2019 Naive Bayes multinomial method showed 22,96% misclassification at 50:50 proportion, at the proportion of 60:40 there were 21,43% misclassification, at the proportion of 70:30 there were 19,05% misclassified, at proportions 80:20 had a misclassification of 14,29%, and a proportion of 90:10 has a misclassification of 7,14%.
Pengaruh Digitalisasi Pengelolaan Zakat Terhadap Peningkatan Partisipasi Muzakki Rinaldi, Rival; Setiawan, Romi adetio; Syaifuddin, Syaifuddin
Jurnal BAABU AL-ILMI: Ekonomi dan Perbankan Syariah Vol 11, No 1 (2026): Islamic economics and banking research
Publisher : Universitas Islam Negeri Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/ba.v11i1.8913

Abstract

This study aims to determine the effect of zakat management digitalization on the increase in muzakki (zakat payer) participation at BAZNAS (National Zakat Agency) of Bengkulu Province. The research was motivated by the growing need to utilize digital technology to enhance the efficiency and effectiveness of zakat management. A quantitative approach with an associative descriptive method was employed. Data were collected through observation, documentation, and questionnaires distributed to 30 muzakki who had used BAZNAS's digital services. Data analysis was conducted using the Partial Least Square (PLS) method with the SmartPLS software. The findings revealed that the digitalization of zakat management does not have a significant effect on increasing muzakki participation. This indicates that although digital systems have been implemented, they are not sufficient on their own to boost participation. Other factors such as trust, digital literacy, and personalized or educational approaches may have a more substantial impact. The study recommends that BAZNAS improve its communication strategies, digital education, and community engagement to maximize the effectiveness of digital platforms.
Co-Authors Rito Goejantoro, Rito Setiawan, Romi Adetio Syaifuddin Syaifuddin Syaripuddin Syaripuddin