Legiana, Wesy (2019) Analisis Pengaruh Indikator Pendidikan Terhadap Persentase Penduduk Miskin Di Kabupaten/Kota Provinsi Jawa Timur Menggunakan Regresi Data Panel. Diploma thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
10611600000016-Non_Degree.pdf Download (1MB) | Preview |
Abstract
Kemiskinan terus menjadi masalah di Indonesia. Kemiskinan dipengaruhi oleh beberapa indikator, salah satunya adalah indikator pendidikan. Indikator pendidikan yang diduga berpengaruh terhadap kemiskinan adalah AMH (Angka Melek Huruf), APS (Angka Partisipasi Sekolah), APM (Angka Partisipasi Murni), APK (Angka Partisipasi Kasar), dan RLS (Rata-rata Lama Sekolah). Begitu pula di Provinsi Jawa Timur, persentase penduduk miskin di Jawa Timur cenderung naik-turun. Hal ini tentunya dipengaruhi oleh beberapa variabel. Pada penelitian ini akan dilakukan pemodelan persentase penduduk miskin berdasarkan indikator pendidikan dengan tujuan untuk mengetahui variabel mana yang berpengaruh signifikan. Karena terdapat efek waktu sehingga metode yang digunakan dalam penelitian ini adalah regresi data panel. Regresi data panel merupakan gabungan dari data cross section dan time series. Berdasarkan hasil regresi data panel diperoleh kesimpulan bahwa Model terbaik yang terpilih adalah menggunakan pendekatan Fixed Effect Model (FEM) antar individu. Indikator pendidikan yang berpengaruh terhadap persentase penduduk miskin di Kabupaten/Kota Provinsi Jawa Timur adalah Angka Partisipasi Murni, Angka Melek Huruf, dan Rata-rata Lama Sekolah.
=================================================================================================================================
Poverty continues to be a problem in Indonesia. Poverty is influenced by several indicators, one of which is education indicators. Educational indicators that are thought to have an effect on poverty are AMH (Literacy Rate), APS (School Participation Rate), APM (Pure Participation Rate), APK (Gross Participation Rate), and RLS (Average School Length). Similarly, in East Java Province, the percentage of poor people in East Java tends to fluctuate. This is certainly influenced by several variables. In this study modeling the percentage of poor people based on education indicators with the aim of knowing which variables have a significant effect. Because there is an effect of time so the method used in this study is panel data regression. Panel data regression is a combination of cross section and time series data. Based on the results of panel data regression, it was concluded that the best model chosen was using the Fixed Effect Model (FEM) approach between individuals. Educational indicators that influence the percentage of poor people in the Regency / City of East Java Province are Pure Participation Figures, Literacy Rates, and Average School Length.
| Item Type: | Thesis (Diploma) |
|---|---|
| Additional Information: | RSSB 519.536 Leg a-1 2019 |
| Uncontrolled Keywords: | Indicators of Education, Poverty, Panel data regression |
| Subjects: | H Social Sciences > HA Statistics > HA31.3 Regression. Correlation H Social Sciences > HA Statistics > HA31.7 Estimation |
| Divisions: | Faculty of Vocational > 49501-Business Statistics |
| Depositing User: | Wesy Legiana |
| Date Deposited: | 22 Feb 2024 07:34 |
| Last Modified: | 22 Feb 2024 07:34 |
| URI: | http://repository.its.ac.id/id/eprint/64228 |
Actions (login required)
 |
View Item |