APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLAND
Poverty is defined as an inability of the individual to meet basic needs for a decent life. According to BPS data in 2020, Sulawesi Island ranks fifth as the poorest island in Indonesia. This study aims to find out the mapping of areas and indicators of poverty in Sulawesi Island using Biplot Analys...
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| Format: | Article |
| Language: | English |
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Universitas Diponegoro
2023-04-01
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| Series: | Media Statistika |
| Subjects: | |
| Online Access: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/43905 |
| _version_ | 1797394873554305024 |
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| author | Febriyana Taki Lailany Yahya Muhammad Rezky Friesta Payu |
| author_facet | Febriyana Taki Lailany Yahya Muhammad Rezky Friesta Payu |
| author_sort | Febriyana Taki |
| collection | DOAJ |
| description | Poverty is defined as an inability of the individual to meet basic needs for a decent life. According to BPS data in
2020, Sulawesi Island ranks fifth as the poorest island in Indonesia. This study aims to find out the mapping of areas and indicators of poverty in Sulawesi Island using Biplot Analysis with Robust Singular Value Decomposition approach for outlier research data. Based on the results of the study, there are five objects that are outlier and the information provided by the biplot amounted 98.45%. District/city that have similar characteristics are divided into 4 groups. The indicator of poverty that has the most diversity is the School Old Expectations Numbers (Var 4) and the one with the least diversity is Poor Households Using Clean Water (Var 8). Indicators of poverty that are positively correlated are Literacy Numbers (Var 1) and Non-Working Poor Population (Var 5), while the negative correlated are The Non-Working Poor Population (Var 5) and Poor Households Using Clean Water (Var 8). There are 19 districts/cities that have literacy values above the average of all districts/cities and 11 districts/cities that have a per capita expenditure value below the average of all districts/cities. |
| first_indexed | 2024-03-09T00:26:04Z |
| format | Article |
| id | doaj.art-2d0ab05f73c7440e9dfa32fea43cdebc |
| institution | Directory Open Access Journal |
| issn | 1979-3693 2477-0647 |
| language | English |
| last_indexed | 2024-03-09T00:26:04Z |
| publishDate | 2023-04-01 |
| publisher | Universitas Diponegoro |
| record_format | Article |
| series | Media Statistika |
| spelling | doaj.art-2d0ab05f73c7440e9dfa32fea43cdebc2023-12-12T02:27:53ZengUniversitas DiponegoroMedia Statistika1979-36932477-06472023-04-0115222023010.14710/medstat.15.2.220-23021865APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLANDFebriyana Taki0Lailany Yahya1Muhammad Rezky Friesta Payu2Statistics Study Program, Department of Mathematics, Faculty of Mathematics and Natural Science, Gorontalo State University, Jl. Prof Dr. Ing, B.J. Habibie, Bone Bolango Regency, Gorontalo, Indonesia, 96119, IndonesiaStatistics Study Program, Department of Mathematics, Faculty of Mathematics and Natural Science, Gorontalo State University, Jl. Prof Dr. Ing, B.J. Habibie, Bone Bolango Regency, Gorontalo, Indonesia, 96119, IndonesiaStatistics Study Program, Department of Mathematics, Faculty of Mathematics and Natural Science, Gorontalo State University, Jl. Prof Dr. Ing, B.J. Habibie, Bone Bolango Regency, Gorontalo, Indonesia, 96119, IndonesiaPoverty is defined as an inability of the individual to meet basic needs for a decent life. According to BPS data in 2020, Sulawesi Island ranks fifth as the poorest island in Indonesia. This study aims to find out the mapping of areas and indicators of poverty in Sulawesi Island using Biplot Analysis with Robust Singular Value Decomposition approach for outlier research data. Based on the results of the study, there are five objects that are outlier and the information provided by the biplot amounted 98.45%. District/city that have similar characteristics are divided into 4 groups. The indicator of poverty that has the most diversity is the School Old Expectations Numbers (Var 4) and the one with the least diversity is Poor Households Using Clean Water (Var 8). Indicators of poverty that are positively correlated are Literacy Numbers (Var 1) and Non-Working Poor Population (Var 5), while the negative correlated are The Non-Working Poor Population (Var 5) and Poor Households Using Clean Water (Var 8). There are 19 districts/cities that have literacy values above the average of all districts/cities and 11 districts/cities that have a per capita expenditure value below the average of all districts/cities.https://ejournal.undip.ac.id/index.php/media_statistika/article/view/43905povertybiplot analysisrobust singular value decompositionoutlier |
| spellingShingle | Febriyana Taki Lailany Yahya Muhammad Rezky Friesta Payu APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLAND Media Statistika poverty biplot analysis robust singular value decomposition outlier |
| title | APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLAND |
| title_full | APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLAND |
| title_fullStr | APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLAND |
| title_full_unstemmed | APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLAND |
| title_short | APPLICATION OF BIPLOT ANALYSIS WITH ROBUST SINGULAR VALUE DECOMPOSITION TO POVERTY DATA IN SULAWESI ISLAND |
| title_sort | application of biplot analysis with robust singular value decomposition to poverty data in sulawesi island |
| topic | poverty biplot analysis robust singular value decomposition outlier |
| url | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/43905 |
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