MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA
When a person's income is so low that it cannot cover even the most basic living expenses, they are said to be poor. Data on poverty levels and hypothesized causes are used in this study. If the data pattern forms clusters, one of the regression analyses that can be used is Clusterwise Linear R...
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| Format: | Article |
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Universitas Pattimura
2023-09-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8785 |
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| author | Eni Meylisah Dyah Setyo Rini Herlin Fransiska Winalia Agwil Bagus Sartono |
| author_facet | Eni Meylisah Dyah Setyo Rini Herlin Fransiska Winalia Agwil Bagus Sartono |
| author_sort | Eni Meylisah |
| collection | DOAJ |
| description | When a person's income is so low that it cannot cover even the most basic living expenses, they are said to be poor. Data on poverty levels and hypothesized causes are used in this study. If the data pattern forms clusters, one of the regression analyses that can be used is Clusterwise Linear Regression (CLR). Therefore, this study aimed to determine the poverty rate modeling in Indonesia with the CLR method. The results showed that the best model is with 3 clusters, that for cluster 1, the factors that significantly affect the percentage of poverty are the percentage of electricity users , the number of small and micro industries and the number of tourist villages n cluster 2, the amount of village tours . In cluster 3, the percentage of users of electricity and the percentage of villages that have mining and quarrying . |
| format | Article |
| id | doaj-art-d0d71868ca994724beb3100803f58cb4 |
| institution | DOAJ |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-d0d71868ca994724beb3100803f58cb42025-08-20T03:02:45ZengUniversitas PattimuraBarekeng1978-72272615-30172023-09-011731653166210.30598/barekengvol17iss3pp1653-16628785MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIAEni Meylisah0Dyah Setyo Rini1Herlin Fransiska2Winalia Agwil3Bagus Sartono4Statistics Study Program, Mathematic Departement, Faculty of Mathematics and Natural Science, Bengkulu University, IndonesiaStatistics Study Program, Mathematic Departement, Faculty of Mathematics and Natural Science, Bengkulu University, IndonesiaStatistics Study Program, Mathematic Departement, Faculty of Mathematics and Natural Science, Bengkulu University, IndonesiaStatistics Study Program, Mathematic Departement, Faculty of Mathematics and Natural Science, Bengkulu University, IndonesiaStatistics Study Program, Faculty of Mathematics and Natural Science, IPB University, IndonesiaWhen a person's income is so low that it cannot cover even the most basic living expenses, they are said to be poor. Data on poverty levels and hypothesized causes are used in this study. If the data pattern forms clusters, one of the regression analyses that can be used is Clusterwise Linear Regression (CLR). Therefore, this study aimed to determine the poverty rate modeling in Indonesia with the CLR method. The results showed that the best model is with 3 clusters, that for cluster 1, the factors that significantly affect the percentage of poverty are the percentage of electricity users , the number of small and micro industries and the number of tourist villages n cluster 2, the amount of village tours . In cluster 3, the percentage of users of electricity and the percentage of villages that have mining and quarrying .https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8785povertyclusterlinear regressionclusterwise linear regression (clr) |
| spellingShingle | Eni Meylisah Dyah Setyo Rini Herlin Fransiska Winalia Agwil Bagus Sartono MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA Barekeng poverty cluster linear regression clusterwise linear regression (clr) |
| title | MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA |
| title_full | MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA |
| title_fullStr | MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA |
| title_full_unstemmed | MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA |
| title_short | MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA |
| title_sort | modeling clusterwise linear regression on poverty rate in indonesia |
| topic | poverty cluster linear regression clusterwise linear regression (clr) |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8785 |
| work_keys_str_mv | AT enimeylisah modelingclusterwiselinearregressiononpovertyrateinindonesia AT dyahsetyorini modelingclusterwiselinearregressiononpovertyrateinindonesia AT herlinfransiska modelingclusterwiselinearregressiononpovertyrateinindonesia AT winaliaagwil modelingclusterwiselinearregressiononpovertyrateinindonesia AT bagussartono modelingclusterwiselinearregressiononpovertyrateinindonesia |