ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR
Classification is the process of grouping objects that have the same characteristics into several categories. This study applies a combination of classification algorithms, namely Bootstrap Aggregating K-Nearest Neighbor in credit scoring analysis. The aim is to classify the credit payment status of...
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Universitas Pattimura
2021-12-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4195 |
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| author | Putri Sri Astuti Memi Nor Hayati Rito Goejantoro |
| author_facet | Putri Sri Astuti Memi Nor Hayati Rito Goejantoro |
| author_sort | Putri Sri Astuti |
| collection | DOAJ |
| description | Classification is the process of grouping objects that have the same characteristics into several categories. This study applies a combination of classification algorithms, namely Bootstrap Aggregating K-Nearest Neighbor in credit scoring analysis. The aim is to classify the credit payment status of electronic goods and furniture at PT KB Finansia Multi Finance in 2020 and determine the level of accuracy produced. Credit payment status is grouped into 2 categories, namely smoothly and not smoothly. There are 7 independent variables that are used to describe the characteristics of the debtor, namely age, number of dependents, length of stay, years of service, income, amount of payment, and payment period. The application of the classification algorithm at the credit scoring analysis is expected to assist creditors in making decisions to accept or reject credit applications from prospective debtors. The results showed that the accuracy obtained from the Bootstrap Aggregating K-Nearest Neighbor algorithm with a proportion of 90:10, m=80%, C=73, and K=5 was the best, which was 92.308%. |
| format | Article |
| id | doaj-art-373b371d44f1494196bf417ffd952ec9 |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2021-12-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-373b371d44f1494196bf417ffd952ec92025-08-20T03:37:37ZengUniversitas PattimuraBarekeng1978-72272615-30172021-12-0115473574410.30598/barekengvol15iss4pp735-7444195ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBORPutri Sri Astuti0Memi Nor HayatiRito GoejantoroUniversitas MulawarmanClassification is the process of grouping objects that have the same characteristics into several categories. This study applies a combination of classification algorithms, namely Bootstrap Aggregating K-Nearest Neighbor in credit scoring analysis. The aim is to classify the credit payment status of electronic goods and furniture at PT KB Finansia Multi Finance in 2020 and determine the level of accuracy produced. Credit payment status is grouped into 2 categories, namely smoothly and not smoothly. There are 7 independent variables that are used to describe the characteristics of the debtor, namely age, number of dependents, length of stay, years of service, income, amount of payment, and payment period. The application of the classification algorithm at the credit scoring analysis is expected to assist creditors in making decisions to accept or reject credit applications from prospective debtors. The results showed that the accuracy obtained from the Bootstrap Aggregating K-Nearest Neighbor algorithm with a proportion of 90:10, m=80%, C=73, and K=5 was the best, which was 92.308%.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4195classificationk-nearest neighborbootstrap aggregatingcredit |
| spellingShingle | Putri Sri Astuti Memi Nor Hayati Rito Goejantoro ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR Barekeng classification k-nearest neighbor bootstrap aggregating credit |
| title | ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR |
| title_full | ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR |
| title_fullStr | ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR |
| title_full_unstemmed | ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR |
| title_short | ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR |
| title_sort | analisis credit scoring terhadap status pembayaran barang elektronik dan furniture menggunakan bootstrap aggregating k nearest neighbor |
| topic | classification k-nearest neighbor bootstrap aggregating credit |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4195 |
| work_keys_str_mv | AT putrisriastuti analisiscreditscoringterhadapstatuspembayaranbarangelektronikdanfurnituremenggunakanbootstrapaggregatingknearestneighbor AT meminorhayati analisiscreditscoringterhadapstatuspembayaranbarangelektronikdanfurnituremenggunakanbootstrapaggregatingknearestneighbor AT ritogoejantoro analisiscreditscoringterhadapstatuspembayaranbarangelektronikdanfurnituremenggunakanbootstrapaggregatingknearestneighbor |