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All Journal Electronic Journal of Education, Social Economics and Technology Jurnal As-Syar’i: Jurnal Bimbingan & Konseling Keluarga
Andriano, Andriano
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Naïve Bayes Algorithm Based on Forward and Backward Selection for Predicting Mortgage Loan Application Status Andriano, Andriano; Harison, Harison
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.684

Abstract

This study discusses about the classification analysis of the status of home ownership credit at one of the banks in Pekanbaru City using the naïve Bayes algorithm. The purpose of this study is to compare the results of naïve Bayes classification with variable selection using forward and backward selection without variable selection. Variables from the selection results that are included in the best model with transform data use Weight of Evidence method are the type of customer, residential status, last education, and occupation. The results show that the naïve bayes algorithm with variable selection is better than without variable selection. This is shown from the value of the confusion matrix, namely accuracy and specificity, which reached 57,10% and 72,32%, although the sensitivity value was relatively small, 33,10%.
Kepastian Hukum Penetapan Tarif Royalti Musik bagi Pelaku Usaha Kafe dan Transparansi Mengenai Penyaluran dan Distribusi Dana Royalti Musik Andriano, Andriano; Yuniawaty, Yenny
As-Syar i: Jurnal Bimbingan & Konseling Keluarga  Vol. 8 No. 1 (2026): As-Syar’i: Jurnal Bimbingan & Konseling Keluarga
Publisher : Institut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/as.v8i1.10498

Abstract

This journal discusses legal certainty regarding the determination of music royalty rates for café operators and transparency regarding the distribution of music royalties, but in practice, legal certainty regarding the clarity of royalty rates based on seating capacity and transparency in the distribution and disbursement of music royalties by the National Collective Management Organization (LMKN) and Collective Management Organizations (LMK) is still not guaranteed. The research method used is normative juridical with a legislative and conceptual approach, utilizing secondary data consisting of primary, secondary, and tertiary legal materials. In this study, the author used a descriptive analytical research method. The results of the study show that in the payment of music royalties by cafe businesses, there is uncertainty in determining the amount of royalty rates based on seating capacity and the distribution of royalty funds by the National Collective Management Institution (LMKN) and Collective Management Institutions (LMK). The National Collective Management Institution (LMKN) needs to clarify the determination of music royalty rates, and an alternative is to set music royalty rates per person based on the capacity of the cafe. In addition, the government, through the Ministry of Law, the National Collective Management Organization (LMKN), and the Collective Management Organization (LMK), needs to increase awareness and education regarding the distribution and disbursement of music royalties and the optimal use of technology in the music royalty information system.
Co-Authors Yenny Yuniawaty