Elya, Nidyaul (2021) "PEMODELAN WATER POVERTY INDEX DENGAN INFRASTRUKTUR DAN KONDISI SOSIAL MASYARAKAT DI KECAMATAN JABUNG KABUPATEN MALANG". Magister thesis, Universitas Brawijaya.
Abstract
Kondisi Kecamatan Jabung memiliki jumlah KK miskin di Kecamatan Jabung sebesar 6.327 KK, dengan jumlah penerima paling banyak program bantuan penyelesaian maslaah kemiskinan yang diberikan oleh pemerintah adalah Desa Kemiri. Penelitian ini berawal dari permasalahan kemiskinan di Kecamatan Jabung, dan ingin mengidentifikasi apakah kemiskinan tersebut juga disebabkan oleh salah satu infrastruktur dasar, yaitu air bersih. Pengukuran tingkat kemiskinan dilakukan menggunakan indeks kemiskinan air bersih atau Water Poverty Index (WPI) yang merupakan analisis yang holistik dengan mempertimbangkan 5 (komponen) yaitu sumberdaya, aksesibilitas, kapasitas, pemanfaatan air, dan lingkungan. Hasil pengukuran Pengukuran dari dimensi sosial menggunakan teknik analisis Social Network Analysis (SNA) dengan menggunakan pendekatan pengukuran tingkat partisipasi masyarakat dan tingkat keeratan hubungan masyarakat. HTingkat partisipasi & keeratan hubungan masyarakat miskin lebih rendah daripada dan non miskin dalam kelembagaan baik formal maupun informal. Hal tersebut mengakibatkan kemungkinan adanya pertukaran informasi serta pemberdayaan masyarakat melalui kelembagaan yang diikuti, akan lebih rendah dibandingkan dengan masyarakat non miskin. Factor spasial memberikan pengaruh terhadap kemiskinan air bersih, LISA diketahui terdapat 2 (dua) kluster, yaitu high-high dan low-low. Hasil analisis pemodelan spasial lag, variabel bebas yang mempengaruhi indeks kemiskinan air bersih adalah pada faktor social, RoP informal, densitas formal, infrastruktur waktu tempuh menuju puskesmas. Konstanta pada variabel RoP kelembagaan informal dan kerapatan hubungan pada kelembagaan formal dan bertanda positif yang menunjukkan berbanding lurus. variabel waktu tempuh menuju fasilitas Kesehatan puskesmas memiliki tanda negatif yang artinya hubungan yang berbanding terbalik.
English Abstract
The condition of Jabung District has the number of poor families in Jabung District of 6,327 families, with the highest number of recipients of the poverty problem solving assistance program provided by the government is Kemiri Village. This research begins with the problem of poverty in Jabung District, and wants to identify whether poverty is also caused by one of the basic infrastructures, namely clean water. This is due to a theory (Muttneja, 2015) which states that solving the problem of poverty is through infrastructure and social dimensions. This research begins with a theory related to the relationship between space and factors that affect poverty in terms of clean water. The availability of water is related to poverty because access to clean water is a basic need that must be met for the welfare of the community, because clean water can affect people's productivity in economic factors. The measurement of the poverty level is carried out using the Water Poverty Index (WPI), which is a holistic analysis by considering 5 (components), namely resources, accessibility, capacity, water use, and the environment. Measurement results The measurement of the social dimension uses the Social Network Analysis (SNA) analysis technique using an approach to measuring the level of community participation and the level of closeness of community relations. The results of the measurement of WPI Poverty are quite low in Gading Kembar Village with the highest WPI value, which is 65.81 with a medium low classification. The level of participation and closeness of the relationship between the poor and the non-poor is lower in both formal and informal institutions. This results in the possibility of exchange of information and community empowerment through the institutions that are followed, which will be lower compared to nonpoor communities. Spatial factors have an influence on clean water poverty, LISA is known to have 2 (two) clusters, namely high-high and low-low. The results of the analysis of spatial lag modeling, the independent variables that affect the clean water poverty index are social factors, informal RoP, formal density, travel time infrastructure to the puskesmas. The constants on the RoP variable of informal institutions and the density of relationships in formal institutions are positive and have a positive sign which indicates a direct correlation. The variable of travel time to health facilities at the puskesmas has a negative sign, which means the relationship is inversely proportional. Keywords: water poverty, social network analysis, spatial regression, rural area
Other obstract
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| Item Type: | Thesis (Magister) |
|---|---|
| Identification Number: | 771 |
| Uncontrolled Keywords: | Kata kunci: kemiskinan air, social network analysis, regresi spasial, area perdesaan-- water poverty, social network analysis, spatial regression, rural area |
| Divisions: | S2/S3 > Magister Perencanaa Wilayah dan Kota, Fakultas Teknik |
| Depositing User: | Unnamed user with username saputro |
| Date Deposited: | 20 Oct 2021 12:01 |
| Last Modified: | 24 Feb 2022 15:51 |
| URI: | http://repository.ub.ac.id/id/eprint/184404 |
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Text (DALAM MASA EMBARGO)
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