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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Format: | EJournal Article |
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IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,
2021-10-31.
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LEADER | 02676 am a22003013u 4500 | ||
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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 |