Penentuan Kelayakan Penerima Beras Miskin (Raskin) Menggunakan Metode Ahp – Electre (Studi Kasus : Desa Pulotondo Kec. Ngunut)

Amira, SitiAzza (2016) Penentuan Kelayakan Penerima Beras Miskin (Raskin) Menggunakan Metode Ahp – Electre (Studi Kasus : Desa Pulotondo Kec. Ngunut). Sarjana thesis, Universitas Brawijaya.

Abstract

Kemiskinan membuat banyak masyarakat di indonesia kesulitan untuk memenuhi kebutuhan hidup sehari-hari, terutama kebutuhan pangan seperti beras. Maka dari itu pemerintah menjalankan program raskin yang bertujuan untuk membantu masyarakat miskin agar dapat membeli beras dengan harga yang murah. Namun pada penerapannya penerima raskin masih banyak yang tidak tepat sasaran dikarenakan proses penentuan yang masih bersifat subjektif. Untuk itu dibutuhkan sebuah sistem yang dapat membantu proses penentuan penerima raskin agar penerima raskin lebih tepat sasaran. Sistem yang dibuat menggabungkan 2 metode yaitu Metode AHP untuk mendapatkan bobot dari setiap kriteria dan metode ELECTRE untuk menentukan kelayakan penerima beras miskin. Terdapat 6 kriteria yang digunakan yaitu frekuensi makan, frekuensi konsumsi daging/susu/ayam, penghasilan perbulan, tanggungan anak, kepemilikan rumah, dan pengobatan kesehatan. Dari hasil pengujian akurasi sistem didapatkan akurasi sebesar 75,34%.

English Abstract

Poverty makes many Indonesians live in adversity to fulfill their daily life, mainly the need of food like rice. Therefore the government runs the raskin program which aims to help the society to buy the rice with affordable price. However in the implementation of raskin reception there still are found the wrong recipients due to the subjective decision. That is why it is needed to have a system which can help the decision making process for who should receive raskin where the targets will be right. The system combines two methods, they are AHP method to get the heaviness of each criteria and ELECTRE to decide the feasibility for raskin recipient. There are six standards used; food frequency, meat/milk/chicken consumption frequency, monthly income, children dependent, housing ownership, and health treatment. From the accuracy examination system it is found of 75.34%.

Item Type:	Thesis (Sarjana)
Identification Number:	SKR/FTIK/2016/678/051700184
Subjects:	000 Computer science, information and general works > 005 Computer programming, programs, data
Divisions:	Fakultas Ilmu Komputer > Teknik Informatika
Depositing User:	Kustati
Date Deposited:	08 Feb 2017 08:25
Last Modified:	22 Oct 2021 02:41
URI:	http://repository.ub.ac.id/id/eprint/147260

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