ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDA
Development becomes a tool to achieve the goals of a nation. Meanwhile, economic growth is used as an indicator to determine the success of a country's development. HDI is a measuring tool to determine the level of development. Indonesia's HDI is included in the high category, including We...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universitas Bina Bangsa
2021-12-01
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| Series: | Jurnal Lebesgue |
| Subjects: | |
| Online Access: | https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/86 |
| _version_ | 1828296165731336192 |
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| author | Zakiyatul Fitriyah Syafira Irsalina Aditya Rizq Herlandy K Edy Widodo |
| author_facet | Zakiyatul Fitriyah Syafira Irsalina Aditya Rizq Herlandy K Edy Widodo |
| author_sort | Zakiyatul Fitriyah |
| collection | DOAJ |
| description | Development becomes a tool to achieve the goals of a nation. Meanwhile, economic growth is used as an indicator to determine the success of a country's development. HDI is a measuring tool to determine the level of development. Indonesia's HDI is included in the high category, including West Java and Banten provinces. There are allegations that the Covid-19 pandemic in 2020 affected the factors that formed the HDI. This study aims to determine the description of HDI and the influence of factors forming HDI consisting of AHH, RLS, HLS, and per capita expenditure. The secondary data used is sourced from the Central Statistics Agency (BPS) of the Republic of Indonesia. This research method is multiple regression analysis. Based on the study results, the partial test showed that the variables AHH, RLS, HLS, and per capita expenditure had a significant positive effect on the Regency/City HDI variable in the Provinces of West Java and Banten in 2020 |
| first_indexed | 2024-04-13T12:06:58Z |
| format | Article |
| id | doaj.art-3be388dfb3e84d9297381c06564884fd |
| institution | Directory Open Access Journal |
| issn | 2721-8929 2721-8937 |
| language | English |
| last_indexed | 2024-04-13T12:06:58Z |
| publishDate | 2021-12-01 |
| publisher | Universitas Bina Bangsa |
| record_format | Article |
| series | Jurnal Lebesgue |
| spelling | doaj.art-3be388dfb3e84d9297381c06564884fd2022-12-22T02:47:36ZengUniversitas Bina BangsaJurnal Lebesgue2721-89292721-89372021-12-012328229110.46306/lb.v2i3.8686ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDAZakiyatul Fitriyah0Syafira Irsalina1Aditya Rizq Herlandy K2Edy Widodo3Universitas Islam IndonesiaUniversitas Islam IndonesiaUniversitas Islam IndonesiaUniversitas Islam IndonesiaDevelopment becomes a tool to achieve the goals of a nation. Meanwhile, economic growth is used as an indicator to determine the success of a country's development. HDI is a measuring tool to determine the level of development. Indonesia's HDI is included in the high category, including West Java and Banten provinces. There are allegations that the Covid-19 pandemic in 2020 affected the factors that formed the HDI. This study aims to determine the description of HDI and the influence of factors forming HDI consisting of AHH, RLS, HLS, and per capita expenditure. The secondary data used is sourced from the Central Statistics Agency (BPS) of the Republic of Indonesia. This research method is multiple regression analysis. Based on the study results, the partial test showed that the variables AHH, RLS, HLS, and per capita expenditure had a significant positive effect on the Regency/City HDI variable in the Provinces of West Java and Banten in 2020https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/86ipmregresi linier bergandajawa barat dan bantenhdimultiple linear regressionwest java and banten |
| spellingShingle | Zakiyatul Fitriyah Syafira Irsalina Aditya Rizq Herlandy K Edy Widodo ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDA Jurnal Lebesgue ipm regresi linier berganda jawa barat dan banten hdi multiple linear regression west java and banten |
| title | ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDA |
| title_full | ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDA |
| title_fullStr | ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDA |
| title_full_unstemmed | ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDA |
| title_short | ANALISIS FAKTOR YANG BERPENGARUH TERHADAP IPM MENGGUNAKAN REGRESI LINEAR BERGANDA |
| title_sort | analisis faktor yang berpengaruh terhadap ipm menggunakan regresi linear berganda |
| topic | ipm regresi linier berganda jawa barat dan banten hdi multiple linear regression west java and banten |
| url | https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/86 |
| work_keys_str_mv | AT zakiyatulfitriyah analisisfaktoryangberpengaruhterhadapipmmenggunakanregresilinearberganda AT syafirairsalina analisisfaktoryangberpengaruhterhadapipmmenggunakanregresilinearberganda AT adityarizqherlandyk analisisfaktoryangberpengaruhterhadapipmmenggunakanregresilinearberganda AT edywidodo analisisfaktoryangberpengaruhterhadapipmmenggunakanregresilinearberganda |