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All Journal Journal of Computer System and Informatics (JoSYC)
Putri, Dhea Desliana
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Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Sistem Pendukung Keputusan TOPSIS untuk Memilih Kamera Mirrorless bagi Fotografer Jalanan Putri, Dhea Desliana; Waluyo, Anita Fira
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6056

Abstract

Choosing the right mirrorless camera is a challenge for street photographers, given the many options available in the market. This research aims to develop a decision support system based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to assist photographers in selecting a camera that suits their needs. The main problem identified is the lack of clear criteria in camera selection, which can lead to non-optimal decisions. The TOPSIS method is used to evaluate various camera alternatives based on criteria such as image quality, weight, price, and other features. The results show that the system can provide better and more efficient recommendations, with an accuracy rate of up to 85 percent in predicting the most suitable choice for street photographers. From the application of the TOPSIS method, the Nikon Z9 camera received the highest preference value of 0.85768125, making it the best alternative in this study. Thus, the system not only helps photographers in decision-making, but also enhances their photography experience. This research makes a significant contribution in the field of information technology and photography, hoping to guide photographers in choosing the right equipment.
Co-Authors Waluyo, Anita Fira