Jurnal Mandiri IT
Vol. 12 No. 3 (2024): January: Computer Science and Field.

Motorcycle workshop selection recommendation system in gading serpong using the topsis method

Septaria Dwi Natapura (Universitas Multimedia Nusantara, Indonesia)
Fenina Adline Twince (Universitas Multimedia Nusantara, Indonesia)
Adhi Kusnadi (Universitas Multimedia Nusantara, Indonesia)
Rena Nainggolan (Universitas Methodist Indonesia, Indonesia)



Article Info

Publish Date
20 Jan 2024

Abstract

In Indonesia, motorbike repair shops have become a necessity for motorbike riders. The large number of motorcycle repair shops makes it difficult for users to determine the right repair shop according to their needs. Thus, the role of the recommendation system is needed. In order to meet the need for various criteria, a recommendation system for selecting a motorbike repair shop was built using a case study in Gading Serpong. The criteria used are distance, service, speed, price, and comfort of the waiting area. The TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria method that is computationally efficient and is able to measure the relative performance of various decision alternatives in simple mathematical form. Therefore, this research system was built using the TOPSIS method. The test results in this research show that the TOPSIS method has been implemented correctly. Apart from that, a success test of the recommendation system has been carried out by distributing questionnaires, with a success percentage of 82.24%. The questionnaire results obtained have also been tested using Cronbach Alpha, with a result of 0.81, which means that the questionnaire results obtained can be trusted

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Journal Info

Abbrev

Mandiri

Publisher

Subject

Computer Science & IT Library & Information Science Mathematics

Description

The Jurnal Mandiri IT is intended as a publication media to publish articles reporting the results of Computer Science and related ...