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Journal : MEDIA INFORMATIKA BUDIDARMA

PENERAPAN METODE ANALITICAL HIERARCHY PROCESS DALAM PENENTUAN WARGA PENERIMA PROGRAM KELUARGA HARAPAN (PKH) (Studi Kasus : Kantor Lurah Tegal Sari Mandala II) Lubis, Paulus; Nadeak, Berto; Hondro, Rivalri Kristianto
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

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Abstract

There is a term citizens of citizens and citizens. People are more a political concept. The people show to those who are under one government and the government. The terms of the last citizen or people is opposed by the ruler. So the residents of the Family Hope Program (PKH) are those surveyed based on BPS and PKC or PKH quotas also determined by the Government. One of the most important citizens in PKH recipients. Of course the choice of citizens should be done as possible. Based on the problem, the AHP method used in this research is for the determination of the citizens by considering the aspects of the determination that has been determined by the Partnership. The determining aspects that are the basis of the determination by the Kelangkahan in the determination of the residents is the Introduction Place, Information Household and Social Economic Description. By using AHP method is expected to assist the leadership of Tegal Sari Mandala II Lurah Office to conduct the process of determining the residents so that more quickly and effectively. Being a reference to research related to Governmen Keywords: Decision Support System, AHP, Program Keluarga Harapan (PHP)
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERUMAHAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Manao, Hartika; Nadeak, Berto; Zebua, Taronisokhi
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 2 (2017): Juni 2017
Publisher : STMIK Budi Darma

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Abstract

Housing is a basic human need and needs to be nurtured and developed for the sake of the continuity and improvement of peoples lives and settlements that can not be seen as a means of necessity solely, but more than that is the process of human settlements in creating a space of life to socialize themselves in expressing their identity. During this time customers make housing selection based on information from others, observing housing and experience by not considering the criteria needed so often cause new problems for the customer after buying housing. Problems such as inconvenience, credit installment problems and so forth. Decision support systems are generally defined as a system capable of producing solutions and problem- solving. Decision support systems are not intended to replace decision-making roles, but to assist and support decision makers. One of the most commonly used methods in decision support systems is the simple additive weighting (SAW) method. This simple additive weighting method can determine the preference value of each alternative, then perform the warfare process that can select the best alternative from a number of alternatives available.
PENERAPAN TECHNIQUE FOR ORDERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) UNTUK KEPUTUSAN PEMBERIAN KREDIT PADA CALON NASABAH (Studi Kasus : PT. SS Finance) Zai, Yustinus; Mesran, Mesran; Nadeak, Berto; Saputra, Imam
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Original Source | Check in Google Scholar | Full PDF (22.84 KB)

Abstract

The existence of credit activities in a bank or company, certainly is one of the advantages for the bank or company, including the customer. In crediting the need for an assessment as a consideration for a prospective customer before the bank decides whether to accept or reject the request of a prospective customer. This is done, considering the risk of uncollectible on the customer is quite large. In order to assist in determining whether a person is eligible to receive a loan, a decision support system is required. One method that can be used for decision support systems is to use TOPSIS. In this research will be discussed a case in finding the best prospective customer alternative based on predetermined criteria by using Techniques For Order Preference By Similarity To Ideal Solution (TOPSIS) method to calculate the eligibility of the prospective customer