Sistem Pendukung Keputusan Pemilihan Mobil Bekas Berbasis Web Mobile (Studi Kasus : Showroom Reza Motor 2 Pekanbaru)
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Institusion
Universitas Islam Riau
Author
Nofisuryano, Yoan
Subject
QA76 Computer software
Datestamp
2022-03-09 10:22:24
Abstract :
A survey conducted by Google and Netpop stated that a person needs about 2.9 months to determine which new car to buy. Based on the results of this survey illustrates how difficult it is for someone to determine the right choice of car for later to be bought, moreover the car that will be purchased categorized as a used car, of course it will take longer because the used car must have experienced a decrease in quality such as engine performance has declined , car transmission that is not good, car accessories that are no longer complete and so forth. Based on these problems in this study will build a used car selection system which will have a search feature that has been combined with a fuzzy ahp decision support system so that the search results will provide the right used car recommendations for prospective buyers based on the criteria of their choice. Based on the system feasibility test with a questionnaire by 20 respondents showed 81.2% results which the results are categorized as "very good".
A survey conducted by Google and Netpop stated that a person needs about 2.9 months to determine which new car to buy. Based on the results of this survey illustrates how difficult it is for someone to determine the right choice of car for later to be bought, moreover the car that will be purchased categorized as a used car, of course it will take longer because the used car must have experienced a decrease in quality such as engine performance has declined , car transmission that is not good, car accessories that are no longer complete and so forth. Based on these problems in this study will build a used car selection system which will have a search feature that has been combined with a fuzzy ahp decision support system so that the search results will provide the right used car recommendations for prospective buyers based on the criteria of their choice. Based on the system feasibility test with a questionnaire by 20 respondents showed 81.2% results which the results are categorized as "very good".
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