MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH
Poverty is an economic problem faced by all countries in the world, including Indonesia. Poverty is seen as the inability of a person from an economic standpoint to meet basic food and non-food needs as measured from the expenditure side. East Java Province is used as the object of research because...
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Universitas Pattimura
2023-06-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7712 |
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| author | Idrus Syahzaqi Salman Alfarizi P. A. Kartika Fithriasari |
| author_facet | Idrus Syahzaqi Salman Alfarizi P. A. Kartika Fithriasari |
| author_sort | Idrus Syahzaqi |
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| description | Poverty is an economic problem faced by all countries in the world, including Indonesia. Poverty is seen as the inability of a person from an economic standpoint to meet basic food and non-food needs as measured from the expenditure side. East Java Province is used as the object of research because this province has the highest economic growth in Java Island after DKI Jakarta province in the last 5 years. However, East Java is also included in the province with the highest number of poor people on the island of Java. Several independent variables that are thought to influence the percentage of poverty in East Java are the Open Unemployment Rate (TPT), Life Expectancy Rate (AHH), Average Years of Schooling (RLS), Population Density, and GRDP Rate. Sources of research data come from the East Java BPS website and East Java Open Data. Data analysis was performed using a semiparametric regression approach. The results of the analysis obtained good performance values, namely the MSE value of 12,2156 and the R2 value of 98,71%. |
| format | Article |
| id | doaj-art-3fbd11d9e347460b9acbad21d2dba8d7 |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-3fbd11d9e347460b9acbad21d2dba8d72025-08-20T04:00:55ZengUniversitas PattimuraBarekeng1978-72272615-30172023-06-011720727073410.30598/barekengvol17iss2pp0727-07347712MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACHIdrus Syahzaqi0Salman Alfarizi P. A.1Kartika Fithriasari2Department of Statistics, Institut Teknologi Sepuluh Nopember, IndonesiaDepartment of Statistics, Institut Teknologi Sepuluh Nopember, IndonesiaDepartment of Statistics, Institut Teknologi Sepuluh Nopember, IndonesiaPoverty is an economic problem faced by all countries in the world, including Indonesia. Poverty is seen as the inability of a person from an economic standpoint to meet basic food and non-food needs as measured from the expenditure side. East Java Province is used as the object of research because this province has the highest economic growth in Java Island after DKI Jakarta province in the last 5 years. However, East Java is also included in the province with the highest number of poor people on the island of Java. Several independent variables that are thought to influence the percentage of poverty in East Java are the Open Unemployment Rate (TPT), Life Expectancy Rate (AHH), Average Years of Schooling (RLS), Population Density, and GRDP Rate. Sources of research data come from the East Java BPS website and East Java Open Data. Data analysis was performed using a semiparametric regression approach. The results of the analysis obtained good performance values, namely the MSE value of 12,2156 and the R2 value of 98,71%.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7712percentage of povertyeast javasemiparametric regressionmse valuer2 value |
| spellingShingle | Idrus Syahzaqi Salman Alfarizi P. A. Kartika Fithriasari MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH Barekeng percentage of poverty east java semiparametric regression mse value r2 value |
| title | MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH |
| title_full | MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH |
| title_fullStr | MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH |
| title_full_unstemmed | MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH |
| title_short | MODELLING OF POVERTY PERCENTAGE IN EAST JAVA PROVINCE WITH SEMIPARAMETRIC REGRESSION APPROACH |
| title_sort | modelling of poverty percentage in east java province with semiparametric regression approach |
| topic | percentage of poverty east java semiparametric regression mse value r2 value |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7712 |
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