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PERMODELAN SPASIAL WATER POVERTY INDEX DENGAN INFRASTRUKTUR DAN KONDISI SOSIAL KECAMATAN DONOMULYO Ryan Alfi Marcellino; Ismu Rini Dwi Ari; Septiana Hariyani
Tata Kota dan Daerah Vol. 15 No. 2 (2023): Jurnal Tata Kota dan Daerah
Publisher : Department of Urban and Regional Planning, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.takoda.2023.015.02.4

Abstract

Donomulyo sub-district is one of the priority region to water scarce and clean water infrastructural priority programme, this area only has 23% coverage of piped clean water management. Reinforced by the water poverty index (WPI) which classified Donomulyo as unsafe to critical level for clean water availability. Water poverty value also influenced by other variabels such as social matter, according to social network analysis (SNA) showed area with lower value of WPI also has a lower value of SNA. Hence, this paper will explain the correlation between the water poverty index (Y) to social (X1) and infrastructure (X2) using spatial regression. Spatial regression used in this case to prove the correlation between dependent variable (WPI) and independent variables (infrastructure and social) with spatial aspect, thus obtained a close or significant correlation (α<0,05) among WPI value along with the well user ratio and households with septic tank in accordance with SNI ratio value. Depending on this model people of Donomulyo district should lessen the number of well user and improve the ratio of households with septic tank in accordance with SNI in order to improve WPI status.
Measuring Poverty Based On Multidimensional Poverty Index (MPI) in Dampit District Marco Juan Aristo; Ismu Rini Dwi Ari; Gunawan Prayitno
Journal of Regional and Rural Studies Vol. 4 No. 1 (2026)
Publisher : Perencanaan Wilayah dan Kota FT UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/rrs.v4i1.58

Abstract

Poverty is a complex and multidimensional phenomenon that cannot be sufficiently measured solely through income or expenditure approaches. This research is essential because poverty is often narrowly perceived as purely economic issue that related to income and expenditure, whereas it is actually a far more complex phenomenon that extends beyong mere financial figures. This study aims to measure poverty using the Multidimensional Poverty Index (MPI) in Dampit District. Introduced in 2010, the MPI captures poverty through three key dimensions: education, health, and living standards. The multidimensional perspective allows for the identification of specific indicators that reflect the various deprivations and limitations experienced by the poor. The research was conducted in Dampit District, which is noted as the second-highest recipient of BPNT and PKH, as well as the second-highest number of poor households in Malang Regency. Data were collected through questionnaires distributed to 346 households across 12 villages, proportionally divided into poor and non-poor household groups. MPI measurements in Dampit District are classified into four levels: very low, low, medium, and high. The study identified three villages with high MPI scores: Sukodono Village (0.301), Srimulyo Village (0.271), and Baturetno Village (0.276). Only one area, Dampit Village (0.059), categorized as very low, serves as the district's administrative center. The dimensions of education and living standards significantly contributed to the deprivations found across the villages. The findings of this research are expected to serve as a foundation for formulating poverty alleviation policies and prioritizing development strategies based on MPI dimensions.