Pratama, Nadine Putri Wahyu (2019) Pemodelan Spasial Pengaruh Infrastruktur Dan Jaringan Sosial Terhadap Kemiskinan Multidimensi Di Desa Kemiri Kecamatan Jabung Kabupaten Malang. Sarjana thesis, Universitas Brawijaya.
Abstract
Desa Kemiri merupakan salah satu desa di Kecamatan Jabung dengan jumlah penerima bantuan RASTRA tertinggi (750 KK) dan jumlah KK miskin tertingg (810 KK). Hal tersebut menunjukkan masih adanya permasalahan kemiskinan di Desa Kemiri. Penelitian ini memiliki tujuan : i) mengukur tingkat kemiskinan Desa Kemiri dengan pendekatan MPI (Multidimensional Poverty Index), ii) mengukur tingkat partisipasi dan densitas masyarakat dengan Sosial Network Analysis, dan iii) menyusun pemodelan spasial pengaruh infrastruktur dan jaringan sosial terhadap kemiskinan multidimensi pada masing-masing RT menggunakan regresi spasial. Data yang digunakan dalam penelitian diambil menggunakan kuisioner dan observasi dengan 317 responden. Hasil MPI menunjukkan nilai tertinggi berada di RW8RT1 yaitu 34% (Tinggi) sedangkan, nilai terendah berada di RW4RT 4,3,dan 2 serta RW1RT 1,6,dan 7 yaitu 18% (sedang). Kondisi sosial di Desa Kemiri dianalisis dengan SNA, diukur dari tingkat partisipasi (ROP) dan densitas. Nilai tertinggi ROP berada di RW 1 RT 1 (5,15) sedangkan nilai tertinggi densitas berada di 12 RT (1). Hasil LISA menunjukkan bahwa RT di Desa Kemiri dengan nilai MPI tinggi dikelilingi oleh RT sejenis(High-high) begitu juga sebaliknya (Low-low). kelompok High-high terdiri dari 7 RT dan low-low terdiri dari 12 RT. Berdasarkan hasil regresi spasial diketahui bahwa terdapat 2 variabel bebas yang mempengaruhi kemiskinan multidimensi di Desa Kemiri yaitu ROP sebesar -0,0551022 dan waktu tempuh SMA sebesar 0,0752724. Hasil dari penelitian ini dapat dijadikan rekomendasi untuk pemerintah dalam menentukan wilayah prioritas (wilayah high-high) dan dimensi yang perlu dikembangkan dalam pengentasan kemiskinan yaitu pendidikan
English Abstract
Kemiri Village is one of the villages in Jabung District with the highest number of RASTRA reciever ( 750 households) and the highest number of poor households ( 810 households). This shows that there are still poverty problems in Kemiri Village. This study aims to: i) measure poverty level of the Kemiri Village using the MPI (Multidimensional Poverty Index) approach, ii) measure rate of participation and density with Social Network Analysis, and iii) compile spatial modeling of influence of infrastructure and social networks on multidimensional poverty in each RT uses spatial regression. The data used in the study were taken using questionnaires and observations with 317 respondents. The MPI results showed the highest value was RW8RT1 which was 34% (High) whereas the lowest value was RW4RT 4.3 and 2 and RW1RT 1.6 and 7 which were 18% (moderate). Social conditions in the Kemiri Village were analyzed by SNA, measured by rate of participation (ROP) and density. The highest value of ROP is in RW 1 RT 1 (5.15) while the highest value of density is in 12 RT (1) . LISA results show that RT in Kemiri Village with high MPI values are surrounded by similar RT (High-high) and vice versa (Low-low). High-high group consists of 7 RT and low-low group consists of 12 RT. Based on the results of spatial regression, there are 2 independent variables that influence multidimensional poverty in Kemiri Village, namely ROP ( -0.0551022) and SMA travel time ( 0.0752724). The results of this study can be used to recommendations for the government in determining priority areas (high-high areas) and dimensions that need to be developed in poverty alleviation is education
Other obstract
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| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FT/2019/1004/052000395 |
| Uncontrolled Keywords: | kemiskinan-multidimensi, jaringan-sosial, infrastruktur, regresi-spasial, multidimension-poverty, social-network, infrastructure, spatial- regression |
| Subjects: | 300 Social sciences > 362 Social problems of and services to groups of people > 362.5 Poor people |
| Divisions: | Fakultas Teknik > Teknik Perencanaa Wilayah dan Kota |
| Depositing User: | Nur Cholis |
| Date Deposited: | 15 Nov 2020 14:29 |
| Last Modified: | 24 Oct 2021 15:01 |
| URI: | http://repository.ub.ac.id/id/eprint/178286 |
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