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Pemetaan Daerah Rawan Banjir Dengan Menggunakan Metode Weighted Overlay Studi Kasus Kota Malang Yulaichah; Kurniawan, Andri; Hizbaron, Dyah Rahmawati
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 10 No. 2 (2025): September
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v10i2.11537

Abstract

Malang City is one of the regions in Indonesia with significant flood risk due to a combination of natural factors and human activities. This study aims to map flood-prone areas using Geographic Information System (GIS) technology by considering six main parameters: slope, elevation, rainfall, soil type, land use, and river buffer. Using the weighted overlay method, the flood risk zoning map is classified into three categories: low, medium, and high. The results show that 67.22% of Malang City falls under the high-risk category, particularly in Klojen, Blimbing, Sukun, and Lowokwaru districts. Dominant factors contributing to flood vulnerability include high rainfall, dense settlements, and a lack of green spaces. The study recommends mitigation measures such as improving drainage systems, increasing green areas, and implementing risk-based spatial planning to minimize flood impacts. The flood risk zoning map serves as a crucial tool for the government to plan and manage floods more effectively.
Hubungan Pendidikan, Pendapatan, dan Beban Tanggungan dengan Kesejahteraan Keluarga di Desa Ngadirejo Kecamatan Jabung Kabupaten Malang Yulaichah
Jurnal Pemberdayaan Ekonomi dan Masyarakat Vol. 2 No. 4 (2025): October
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jpem.v2i4.910

Abstract

Penelitian ini bertujuan  Penelitian ini bertujuan untuk menganalisis hubungan antara tingkat pendidikan, pendapatan, dan beban tanggungan dengan tingkat kesejahteraan keluarga di Desa Ngadirejo, Kecamatan Jabung, Kabupaten Malang, yang dikenal memiliki tingkat kemiskinan tinggi meskipun memiliki potensi sumber daya alam yang melimpah. Pendekatan mikro ini penting untuk memahami dinamika kemiskinan pada tingkat rumah tangga dan merumuskan strategi penanggulangan yang tepat sasaran. Penelitian menggunakan metode kuantitatif korelasional dengan populasi sebanyak 650 kepala keluarga dan sampel 97 responden yang ditentukan menggunakan rumus Slovin dengan teknik simple random sampling. Data primer dikumpulkan melalui kuesioner dan wawancara, sedangkan data sekunder diperoleh dari instansi terkait. Analisis data dilakukan melalui skoring, tabulasi silang, dan uji Korelasi Pearson. Hasil penelitian menunjukkan bahwa mayoritas keluarga berada pada kategori Keluarga Sejahtera II menurut klasifikasi BKKBN dan tergolong keluarga sejahtera menurut indikator BPS. Terdapat hubungan positif dan signifikan antara pendidikan (r = 0,477), pendapatan (r = 0,728), dan beban tanggungan (r = 0,394) dengan tingkat kesejahteraan keluarga. Temuan ini menunjukkan bahwa semakin tinggi tingkat pendidikan dan pendapatan, semakin tinggi pula tingkat kesejahteraan keluarga. Menariknya, jumlah tanggungan yang lebih besar juga dapat berkontribusi positif terhadap kesejahteraan melalui partisipasi kerja anggota keluarga. Kesimpulannya, peningkatan kesejahteraan keluarga tidak hanya bergantung pada faktor ekonomi, tetapi juga pada pendidikan, modal sosial, dan aspek sosial-spiritual. Rekomendasi penelitian ini menekankan pentingnya pemberdayaan ekonomi berbasis potensi lokal, peningkatan akses pendidikan, serta program penguatan kapasitas keluarga untuk mendorong kesejahteraan yang berkelanjutan.
Pemetaan Daerah Rawan Banjir Dengan Menggunakan Metode Weighted Overlay Studi Kasus Kota Malang Yulaichah; Kurniawan, Andri; Hizbaron, Dyah Rahmawati
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 10 No. 2 (2025): September
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v10i2.11537

Abstract

Malang City is one of the regions in Indonesia with significant flood risk due to a combination of natural factors and human activities. This study aims to map flood-prone areas using Geographic Information System (GIS) technology by considering six main parameters: slope, elevation, rainfall, soil type, land use, and river buffer. Using the weighted overlay method, the flood risk zoning map is classified into three categories: low, medium, and high. The results show that 67.22% of Malang City falls under the high-risk category, particularly in Klojen, Blimbing, Sukun, and Lowokwaru districts. Dominant factors contributing to flood vulnerability include high rainfall, dense settlements, and a lack of green spaces. The study recommends mitigation measures such as improving drainage systems, increasing green areas, and implementing risk-based spatial planning to minimize flood impacts. The flood risk zoning map serves as a crucial tool for the government to plan and manage floods more effectively.
Analyzing the impact of land use change on flood risk and social vulnerability using SCS-CN method and GIS Yulaichah
ASEAN Natural Disaster Mitigation and Education Journal Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/andmej.v3i2.2026.3199

Abstract

Background: Urban flooding has emerged as a chronic environmental challenge in Malang City, contradicting its geomorphological advantage as a highland region. This persistent phenomenon is fundamentally driven by rapid urbanization within the Bango Sub-watershed, where the massive conversion of permeable landscapes into impervious surfaces has severely disrupted the local hydrological balance. Understanding the complex interplay between physical landscape alterations and social demographic pressures is essential for formulating effective disaster mitigation strategies. Methods: This study employs a comprehensive quantitative spatial approach, integrating Geographic Information Systems (GIS) with the Soil Conservation Service Curve Number (SCS-CN) method to model surface runoff volumes and map flood hazards. Land use classification was conducted using Support Vector Machine algorithms on high-resolution satellite imagery to ensure precision. Uniquely, this research incorporates a social dimension through the calculation of the Settlement Carrying Capacity (DDPm) index to assess the sustainability of population density relative to the availability of safe land. Findings: The analysis demonstrates a significant positive correlation between the expansion of built-up areas and the magnitude of flood hazards. Areas dominated by commercial buildings and dense settlements exhibit extreme Curve Number values, identifying Blimbing and Lowokwaru Districts as critical runoff generators. The study reveals a severe carrying capacity deficit in the city center, where population pressure forces settlements to expand into disaster-prone river border zones, creating "hotspots" that combine high physical hazard with acute social vulnerability. Conclusion: It is concluded that the escalation of flood risk in the Bango Sub-watershed is an anthropogenic consequence of spatial planning mismanagement, rather than mere natural meteorological variability. Sustainable mitigation demands a paradigm shift from purely structural engineering to rigorous land use management, emphasizing the enforcement of river regulations and runoff retention policies. Novelty/Originality of Article: This article offers a novel methodological framework by synthesizing hydrological modeling with settlement carrying capacity assessment. Unlike traditional studies that isolate physical risks, this research explicitly links runoff dynamics with demographic pressures, providing a holistic perspective on how social demand for housing drives land conversion and amplifies disaster vulnerability in rapidly developing urban watersheds.