The week's pick
Reseach Article
Application of the SMART Method in the Smartphone Selection Decision Support System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 4 |
| Year of Publication: 2024 |
| Authors: Rizki Hidayat, Wahyu Sri Utami |
10.5120/ijca2024923383
|
Rizki Hidayat, Wahyu Sri Utami . Application of the SMART Method in the Smartphone Selection Decision Support System. International Journal of Computer Applications. 186, 4 ( Jan 2024), 18-25. DOI=10.5120/ijca2024923383
Abstract
The rapid development of technology in the smartphone sector in Indonesia has resulted in so many of new smartphone models being launched. IDC Worldwide Quarterly Mobile Phone Tracker noted that in the first half of 2021 smartphone sales growth in the Indonesian market increased by 47% compared to the first half of 2020 and increased by 20% compared to the first half of 2019. This shows that people's need for smartphones is increasing. This condition also makes smartphone manufacturers compete to launch new models to meet people's needs. However, the large number of new smartphone models being launched makes it difficult for people to choose a smartphone that suits their needs. Therefore, this research aims to help consumers choose a smartphone that suits their needs by applying the SMART (Simple Multi-Attribute Rating Technique) method. The criteria needed in this research are performance, camera, price, screen and battery. Meanwhile, alternative smartphones that will be used as comparative data include the Xiaomi 12T, Samsung Galaxy A54 5G, Xiaomi Poco F5, and Samsung Galaxy A34 5G. Assessment of criteria data for each alternative is obtained through web benchmarks such as AnTuTu Benchmark and DxOMark. This research resulted in a ranking and the Xiaomi 12T received the highest total score based on predetermined weighting criteria. Data calculations using manual calculations and the Android application have almost the same results, with a maximum difference of value is ±0.03. Based on these results, it can be concluded that the calculation performance of the Android application based on manual calculation results has an accuracy rate of 99.94%, which means the Android application has successfully implemented the SMART method.
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