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ANALISIS STRATEGI MITIGASI BENCANA BANJIR ROB DI PESISIR KABUPATEN KENDAL TERHADAP INDEKS KERENTANAN PESISIR (CVI) TAHUN 2024 Pratama, Dhimas Rizkhy; Wijayanti, Pipit; Muryani, Chatarina
Indonesian Journal of Environment and Disaster Vol. 4 No. 1 (2025): Indonesian Journal of Environment and Disaster
Publisher : Disaster Research Center, Universitas Sebelas Maret, Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jm031719

Abstract

The rise in sea levels due to ice melting in the Antarctic region increases the risk of tidal flooding, particularly in coastal areas with low-lying topography, such as the northern coast of Java. Kendal Regency is one of the regions vulnerable to this disaster. Therefore, this study aims to (1) analyze the level of coastal vulnerability to tidal flooding in Kendal Regency using the Coastal Vulnerability Index (CVI) in 2024 and (2) formulate mitigation strategies to reduce vulnerability to tidal flooding in Kendal Regency in 2024.The CVI assessment in this study is based on several key parameters, including geomorphology, shoreline changes, land elevation, beach slope, sea level rise, average tidal range, and wave height. The sampling technique was conducted using purposive sampling by selecting sub-districts in coastal Kendal that are affected by tidal flooding. Data collection methods included field observations, image interpretation, and documentation. The mitigation strategy formulation method focuses on parameters that significantly contribute to the vulnerability level in each coastal sub-district. The research findings indicate that (1) the coastal areas of Kendal Regency have varying levels of vulnerability, classified as low and moderate. The low vulnerability category is found in Kangkung, Cepiring, and Brangsong sub-districts, while the moderate category includes Rowosari, Patebon, Kendal, and Kaliwungu sub-districts. (2) The mitigation strategies for the coastal areas of Kendal Regency consist of structural and non-structural approaches. Structural mitigation includes beach reclamation, beach restoration, seawall construction, mangrove planting, polder and retention pond development, breakwater construction, and elevation of houses near the coastline. Meanwhile, non-structural mitigation involves public education and awareness programs (educational campaigns and emergency response training), capacity building for local authorities, and the implementation of an early warning system.
Pemodelan Spasial untuk Prediksi Perubahan Penggunaan Lahan di Kabupaten Kendal, Provinsi Jawa Tengah Nugroho, Albertus Erico Jerry Krisna; Mahdi, Imam; Utami, Siska Dwi; Wijayanti, Pipit; Noviani, Rita
Jurnal Pembangunan Wilayah dan Kota Vol 21, No 2 (2025): JPWK Volume 21 No. 2 June 2025
Publisher : Universitas Diponegoro Publishing Group, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v21i2.70203

Abstract

Dinamika perubahan penggunaan lahan akibat perkembangan wilayah di Kabupaten Kendal menimbulkan tantangan serius terhadap perencanaan tata ruang dan keberlanjutan lingkungan. Penelitian ini bertujuan untuk menganalisis perubahan penggunaan lahan pada periode 2019 hingga 2024 serta memprediksi distribusi penggunaan lahan pada tahun 2039 melalui pendekatan pemodelan spasial. Metode yang digunakan adalah Sistem Informasi Geografis dan model Cellular Automata–Markov Chain untuk mengklasifikasikan serta memproyeksikan transisi penggunaan lahan. Klasifikasi dilakukan dengan metode supervised classification berbasis maximum likelihood, dan evaluasi akurasi dilakukan menggunakan overall accuracy dan koefisien kappa. Model prediksi menunjukkan tingkat akurasi yang tinggi dengan nilai kappa sebesar 0,83. Hasil analisis menunjukkan adanya peningkatan signifikan pada lahan terbangun yang diproyeksikan mencapai 39% dari total luas wilayah pada tahun 2039, sedangkan lahan produktif seperti sawah dan tambak diperkirakan mengalami penurunan. Temuan ini membuktikan efektivitas pemodelan spasial dalam memberikan informasi berbasis data untuk mengantisipasi tren penggunaan lahan di masa depan. Penelitian ini memberikan dasar ilmiah bagi perumusan kebijakan pengelolaan lahan yang berkelanjutan di wilayah dengan pertumbuhan menengah seperti Kabupaten Kendal.