Comparative Study of SMART and FMCDM Methods in Smartphone Selection Decision Support System

Abstract

Smartphones are one of the communication technology tools currently used by both children and the elderly, so that interest in shopping for smartphones in Indonesia is increasing. The variety of smartphone brands makes buyers confused about which smartphone to buy. This research can help buyers to choose a smartphone to buy and help sellers provide recommendations. This study applies the Simple Multi Attribute Rating Technique (SMART) and Fuzzy Multi Criteria Decision Making (FMCDM) methods for the decision making process for smartphone selection. The purpose of this study is to apply and analyze the comparison of the SMART method and the FMCDM method in the Smartphone Selection Decision Support System. The study compared: the differences and similarities between the two methods, the results of the selection process for the two methods, and calculating the value of the sensitivity analysis of the selection results so that the best method could be determined. The criteria used: price, screen size, battery capacity, operating system, RAM, camera, and smartphone brand. The comparison results show that there are differences between the standard for determining the results, while the similarities in the calculation results, the smartphone recommended to buy is the same, namely the Asus Zenfone 2 Laser ZE500KG (16 GB) smartphone. Measurement of the accuracy of the results of the two methods uses sensitivity analysis values. It can be concluded that the better method is the FMCDM method because it has a smaller average sensitivity value than the SMART method, namely 0.2795 <0.3906.

Using SMART Method for Multi-criteria Decision Making: Applications, Advantages, and Limitations

“…Kahar [6] demonstrates how to use the SMART and Fuzzy Multi-Criteria Decision Making (FMCDM) approaches when selecting a smartphone. This study aims to assist consumers at Maju Jaya Cell Store in Indonesia by assessing smartphones according to several factors including cost screen size battery life and more.…”

“…𝑔 𝑖𝑗 is derived for positive attributes in accordance with equation (6), where a sum of the values of 𝑣 and the number 4 corresponds to the quantitative and qualitative attributes in Table 2. A greater quantity of attributes is preferable.…”

“…Edward developed this method of decisionmaking in 1997 [5]. Multi-criteria analysis is a decisionmaking approach that is based on the idea that each alternative is made up of several criteria, each of which has a weight and value ascribed to it based on its relative relevance [6]. To identify the best option, each alternative is assessed using weighting, as stated by Kahar [6].…”

“…Multi-criteria analysis is a decisionmaking approach that is based on the idea that each alternative is made up of several criteria, each of which has a weight and value ascribed to it based on its relative relevance [6]. To identify the best option, each alternative is assessed using weighting, as stated by Kahar [6]. Moreover, SMART is seen as a reduced version of Multi Attribute Utility Theory (MAUT), having evolved from it in essence [7].…”