Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)

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The Effect of Implementing Profile Matching Algorithm on Computation Time on Barebone Type Mechanical Keyboard Recommendations

Authors
Herlina Jayadianti1, *, Fathurrohman1, Budi Santosa1, Dessyanto Boedi Prasetyo1, Awang Hendrianto Pratomo1
1Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Yogyakarta, 55281, Indonesia
*Corresponding author. Email: herlina.jayadianti@upnyk.ac.id
Corresponding Author
Herlina Jayadianti
Available Online 2 February 2024.
DOI
10.2991/978-94-6463-366-5_3How to use a DOI?
Keywords
Matching; AHP; Combination; Keyboard
Abstract

The research aims to determine the comparison of computing time between the AHP method and a combination of AHP and profile matching on a certain amount of data. Apart from that, this research is also aimed at building a system that can provide recommendations for barebone mechanical keyboards based on the criteria or preferences desired by the user. Design/methodology/approach: The methods compared in the research were AHP and a combination of AHP with profile matching using 10 criteria and various scenarios for the amount of testing data. Meanwhile, in the system being built, there are 70 alternative data in the form of a list of barebone mechanical keyboards circulating on the market until August 2023. Findings/result: The computational time testing carried out resulted in the combination of AHP and profile matching methods being 8,217 times faster than the AHP method running alone. Apart from that, the system was also successfully built well as indicated by the results of black box tests carried out by several testers which were in line with expectations. Originality/value/state of the art: The combination of the AHP method with profile matching can be said to be faster than the AHP method when dealing with cases that have a large amount of data, both criteria and alternatives.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)
Series
Advances in Intelligent Systems Research
Publication Date
2 February 2024
ISBN
978-94-6463-366-5
ISSN
1951-6851
DOI
10.2991/978-94-6463-366-5_3How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Herlina Jayadianti
AU  - Fathurrohman
AU  - Budi Santosa
AU  - Dessyanto Boedi Prasetyo
AU  - Awang Hendrianto Pratomo
PY  - 2024
DA  - 2024/02/02
TI  - The Effect of Implementing Profile Matching Algorithm on Computation Time on Barebone Type Mechanical Keyboard Recommendations
BT  - Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)
PB  - Atlantis Press
SP  - 15
EP  - 22
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-366-5_3
DO  - 10.2991/978-94-6463-366-5_3
ID  - Jayadianti2024
ER  -