ANALISIS FAKTOR-FAKTOR PENGARUH KONVERSI LAHAN PERTANIAN DI KABUPATEN TANGERANG DENGAN MENGGUNAKAN GEOGRAPHICALLY WEIGHTED REGRESSION

HADISTIAN, . (2020) ANALISIS FAKTOR-FAKTOR PENGARUH KONVERSI LAHAN PERTANIAN DI KABUPATEN TANGERANG DENGAN MENGGUNAKAN GEOGRAPHICALLY WEIGHTED REGRESSION. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan untuk mengetahui faktor yang berpengaruh terhadap konversi lahan pertanian di Kabupaten Tangerang dengan menggunakan model Geographically Weighted Regression (GWR). Penelitian ini dilaksanakan pada Bulan September-Desember 2019. Metode yang digunakan ialah deskriptif kuantitatif. Unit analisis dalam penelitian ini ialah kecamatan dengan seluruh populasi merupakan sampel yang digunakan. Teknik pengambilan data dilakukan dengan cara survei instansional dengan menggunakan data sekunder. Teknik analisis data yang dilakukan ialah dengan melakukan pengujian Ordinary Least Square (OLS) terlebih dahulu sebelum menggunakan model GWR. Penelitian ini menggunakan faktor eksternal konversi lahan pertanian yakni laju pertumbuhan penduduk, kepadatan penduduk dan persentase rumah tangga miskin. Hasil penelitian didapatkan faktor yang berpengaruh terhadap variabel prediktor. Dapat diketahui bahwa laju pertumbuhan penduduk berpengaruh negatif namun signifikan terhadap konversi lahan pertanian di seluruh populasi penelitian. Faktor kepadatan penduduk diketahui terdapat pengaruh positif serta signifikan terhadap konversi lahan pertanian pada 24 kecamatan di Kabupaten Tangerang. Sedangkan, faktor rumah tangga miskin tidak berpengaruh signifikan terhadap konversi lahan pertanian di seluruh populasi yang ada. Sehingga, dapat diketahui bahwa terdapat dua variabel yang mempengaruhi konversi lahan pertanian di 24 kecamatan yakni laju pertumbuhan penduduk dan kepadatan penduduk. Sedangkan, 5 kecamatan hanya terdapat satu variabel yang mempengaruhi konversi lahan pertanian yakni laju pertumbuhan penduduk. The study purpose for to find influencing factor land agriculture conversion in Tangerang Regency by using Geographically Weighted Regression (GWR) model. The process of conducting this research between September-December 2019. The method this study use quantitative descriptive approach. The unit analysis in this study is the district with the population is the sample used. The data collection technique was carried out by conducting an institutional survey using secondary data. The data analysis technique used is to do OLS testing before using the GWR model. This study use the external factors of agriculture land conversion, namely population growth, population density and percentage of poverty household. The results of testing with the GWR model are known to be able to increase the value of R2 from 0.392 to 0.443. In knowing the influential factors, a partial test is carried out on all the predictor variables. The test found that the population growth rate had a negative but significant effect on agricultural land conversion in the entire study population. Population factor is known to have a positive and significant influence on the conversion of agricultural land in 24 districts in Tangerang Regency. Meanwhile, the factor of poor households does not significantly influence the conversion of agricultural land in the entire population. Thus, it can be seen that there are two variables that affect the conversion of agricultural land in 24 districts, namely the rate of population growth and population density. Meanwhile, in 5 sub-districts there is only one variable that influences the conversion of agricultural land, namely population growth rate.

Item Type: Thesis (Sarjana)
Additional Information: 1) Dr.Cahyadi Setiawan, S.Si., M.Si. ; 2) Dr. Aris Munandar, S.Pd., M.Si.
Subjects: Geografi, Antropologi > Geografi
Geografi, Antropologi > Matematika Geografi, Kartografi
Geografi, Antropologi > Ilmu Lingkungan
Ilmu Sosial > Statistik
Divisions: FIS > S1 Pendidikan Geografi
Depositing User: Users 476 not found.
Date Deposited: 04 Mar 2020 14:39
Last Modified: 30 Aug 2022 05:19
URI: http://repository.unj.ac.id/id/eprint/3594

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