ANALISIS JURNAL INTERNASIONAL

Subjek Jurnal :

A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis

Link Jurnal :

http://www.sciencedirect.com/science/article/pii/S0098300413002975

Inti Pembahasan : 

Multi kriteria GIS analisis keputusan (MCDA) teknik semakin digunakan dalam pemetaan kerentanan longsor untuk prediksi bahaya di masa depan, perencanaan penggunaan lahan, serta untuk kesiapan bahaya.

Metode Yang Digunakan :

Metodologi penelitian dirancang untuk mengevaluasi sensitivitas dan ketidakpastian GIS-MCDA untuk LSM melalui metode analisis ketidakpastian eksplisit secara spasial berbasis GIS (GISPEX) dan Dempster-Schafer Teori (DST) metode untuk: (a) membandingkan dua teknik MCDM : Analytical Hierarchy Process (AHP) dan memerintahkan Weighted Averaging (OWA) dalam hal ketidakpastian yang dihasilkan peta longsor kerentanan dan (b) menunjukkan bagaimana pendekatan terpadu untuk ketidakpastian dan analisis sensitivitas dapat digunakan untuk membantu menginterpretasikan hasil pemetaan tanah longsor kerentanan . Dalam rangka mencapai tujuan tersebut, metodologi terdiri dari langkah-langkah berikut:

1. Hitung peta Longsor kerentanan menggunakan AHP dan OWA.
2. langkah-langkah menghitung ketidakpastian untuk kedua peta dengan Monte Carlo Simulation (MCS).
3. Run Analisis Sensitivitas global (GSA).
4. Mengakses ketidakpastian peta LSM dalam terang MCS dan rata Pergeseran Ranks (ASR) hasil.
5. Menilai kekokohan beban di kedua teknik MCDM dalam terang hasil GSA.
6. Validasi peta longsor kerentanan tanpa dan dengan metrik ketidakpastian menggunakan teknik DST.

Kelebihan Metode :

Menghasilkan random dataset terdistribusi secara merata menggunakan fungsi acak sebagai data pelatihan untuk menghitung analisis ketidakpastian.

Kekurangan Metode :

Menggunakan kriteria bobot berdasarkan AHP sebagai bobot referensi dari MCS

Sumber :

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