Abstract

Various natural disasters, such as floods and landslides, are often associated with extreme weather conditions, especially rainfall, where in fact the possibility of such a disaster will be smaller if the carrying capacity of the land is still good. The decrease of land carrying capacity is often due to land use change, so that the land is not capable to perform it functions and is categorized as critical land. The decline in land carrying capacity will affect other resources, especially water resources. Anticipatory measures of natural disasters such as floods and landslides can perfectly prepared if information regarding land conditions, including land criticality, are available in detail and up to date. The classification and mapping of land criticality becomes an important component in the preparation of land rehabilitation and natural disaster prevention plans including setting the priority actions. The Minister of Forestry Regulation no P.32 / Menhut-II / 2009 concerning Procedures for Preparation of Forest and Watershed Technical Rehabilitation Plan was use as criteria for land classification and both Fuzzy and Crisp calculation methods were applied to calculate the final score. Different classification result was found in 23 HURL and comparing to actual the condition, the Fuzzy method gives more accurate result than Crisp method.

Highlights

  • Dalam dekade terakhir ini, frekuensi dan intensitas terjadinya bencana alam yang berkatian dengan lahan seperti longsor dan banjir semakin meningkat

  • where in fact the possibility of such a disaster will be smaller if the carrying capacity of the land is still good

  • The decrease of land carrying capacity is often due to land use change

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Summary

Latar Belakang

Frekuensi dan intensitas terjadinya bencana alam yang berkatian dengan lahan seperti longsor dan banjir semakin meningkat. Bencana longsor dan banjir tidak akan terjadi apabila daya dukung lahan masih baik. Antisipasi terjadinya bencana alam khususnya yang berkaitan dengan sumber daya lahan dilakukan dengan menjaga, meningkatkan, dan memperbaiki daya dukung lahan. Pada penelitian ini evaluasi terhadap kekritisan lahan dilakukan berbasis Hydraulic Response Unit (HRU) yang dihasilkan dari perangkat lunak Soil and Water Analyisis Tool (SWAT). Evaluasi berbasis HRU selain akan mempercepat proses evaluasi, karena untuk berbagai area yang mempunyai karakteristik hidrolis yang sama perhitungan akan dilakukan satu kali, juga akan sekaligus memperkecil kebutuhan memori pada perangkat keras, sehingga tidak memerlukan perangkat keras dengan spesifikasi khusus. Selain menghasilkan HRU, simulasi SWAT akan memberikan besaran erosi yang merupakan salah satu kriteria pentapan tingkat kekritisan lahan. Dalam kaitan tersebut metoda himpunan Fuzzy akan diterapkan dengan harapan dapat memberikan gambaran yang lebih selaras antara hasil perhitungan dengan kondisi riil di lapangan

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