MATHunesa: Jurnal Ilmiah Matematika
Vol 8 No 2 (2020)

Penentuan Prioritas Rehabilitasi dan Rekontruksi Pasca Bencana Alam dengan Metode Multi Attribute Utility Theory (MAUT) (Studi Kasus : Provinsi Jawa Timur)

Megamas Hariyati (Program Studi Matematika, FMIPA, Universitas Negeri Surabaya)
Yuliani Puji Astuti (Program Studi Matematika, FMIPA, Universitas Negeri Surabaya)



Article Info

Publish Date
19 May 2020

Abstract

Rehabilitation and reconstruction was an activity in a region that had been affected by natural disaster. Rehabilitation and reconstruction is done in accordance with regulation created according to rehabilitation and reconstruction guidline disaster. Standard provision enacted with rehabilitation and reconstruction priority identification are needed because it is necessary to make the normalization of life and optimize life toward a region after natural disaster. In this study using the MAUT (Multi Attribute Utility Theory) method to determine priorities for rehabilitation and reconstruction after natural disaster. The result of the MAUT calculation method obtained recommendations regarding the determination of priorities for post-natural disaster rehabilitation and reconstruction in the area of ​​East Java Province based on the data of 3 years recently obtained a rating (0,145027967) as the highest assessor is the area affected by natural disaster namely Sidoarjo in 2017. (0,1609600) as the highest assessor is the area that struck natural disaster namely Kediri in 2018 (0,149155) as the highest assessor is the area affected by natural disaster that Pacitan in 2019. Keywords: Rehabilitation and Reconstruction, Java Province, MAUT, Decision Support Sistem

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Journal Info

Abbrev

mathunesa

Publisher

Subject

Mathematics

Description

MATHunesa is a mathematical scientific journal published by the Department of Mathematics, Faculty of Mathematics and Natural Sciences, The State University of Surabaya with e-ISSN 2716-506X and p-ISSN 2301-9115. This journal is published every four months in April, August, and December. One volume ...