DSS for Keyboard Mechanical Selection Using AHP and Profile Matching Method

Mechanical keyboards are designed with various shapes, variations, and specifications that are different from other types of keyboards. The mechanical keyboard itself has an aesthetic function that allows users to customize it. There are various specifications on mechanical keyboards, causing variou...

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Main Authors: Handayani, Amelia Dita (Author), Wardoyo, Retantyo (Author)
Format: EJournal Article
Published: IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., 2021-10-31.
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LEADER 02676 am a22003013u 4500
001 IJCSS_67813
042 |a dc 
100 1 0 |a Handayani, Amelia Dita  |e author 
100 1 0 |e contributor 
700 1 0 |a Wardoyo, Retantyo  |e author 
245 0 0 |a DSS for Keyboard Mechanical Selection Using AHP and Profile Matching Method 
260 |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,   |c 2021-10-31. 
500 |a https://jurnal.ugm.ac.id/ijccs/article/view/67813 
520 |a Mechanical keyboards are designed with various shapes, variations, and specifications that are different from other types of keyboards. The mechanical keyboard itself has an aesthetic function that allows users to customize it. There are various specifications on mechanical keyboards, causing various considerations, which can make it difficult for users to choose a mechanical keyboard that fits the desired criteria. Supported by observations in the Indonesia Mechanical Keyboard Group (IMKG), some users are still limited in their knowledge of mechanical keyboard products available in Indonesia, also, currently there is no solution that can handle this problem.Based on these problems, in this research, an DSS is built that can help overcome these problems, by providing recommendations for a mechanical keyboard according to the wishes of the user. DSS is implemented in web form using the AHP method for the weighting process and Profile Matching for the scoring process. The criteria used are determined by conducting a survey regarding the specifications that are the priority considerations in choosing a mechanical keyboard.At the end of the study, the DSS that was successfully built was able to provide mechanical keyboard priority recommendations according to user preferences and get an average evaluation result of 36.17 out of a total maximum value of 40. 
540 |a Copyright (c) 2021 IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 
540 |a http://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
690 |a Computer Science 
690 |a Decision Support System;AHP;Profile Matching;Mechanical Keyboard 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 15, No 4 (2021): October; 369-378 
786 0 |n 2460-7258 
786 0 |n 1978-1520 
787 0 |n https://jurnal.ugm.ac.id/ijccs/article/view/67813/32407 
856 4 1 |u https://jurnal.ugm.ac.id/ijccs/article/view/67813  |z Get Fulltext 
856 4 1 |u https://jurnal.ugm.ac.id/ijccs/article/view/67813/32407  |z Get Fulltext