Open AccessDSS for best e-commerce selection using AHP-WASPAS and AHP-MOORA methods
Author(s) -
Gede Surya Mahendra
Publication year - 2021
Publication title -
matrix : jurnal manajemen teknologi dan informatika/matrix: jurnal manajemen teknologi dan informatika
Language(s) - English
Resource type - Journals
eISSN - 2580-5630
pISSN - 2088-284X
DOI - 10.31940/matrix.v11i2.2306
Subject(s) - analytic hierarchy process , weighting , business , ranking (information retrieval) , computer science , operations research , e commerce , mathematics , artificial intelligence , world wide web , medicine , radiology
eIQ Consumer Pulse 2019 determines the 6 largest e-commerce in Indonesia, namely Blibli, Bukalapak, JD.id, Lazada Indonesia, Shopee and Tokopedia. This is due to an increase in e-commerce transactions. The COVID-19 pandemic, which emphasizes social distancing and physical distancing, has also played a role in increasing these transactions. Indonesia is also predicted to become the market leader in Southeast Asia due to this. On the other hand, each e-commerce customer has their preferences in choosing e-commerce to use in transactions. Various criteria make customers confused due to intense competition between e-commerce companies. DSS is a solution in choosing the right e-commerce for each customer's preferences. The AHP-WASPAS and AHP-MOORA methods can be used in calculations for determining favorite e-commerce in Indonesia. The CRISP-DM framework also helps in preparing the research flow well. 3 decision-makers are used to provide weighting criteria using AHP. The results of this study indicate that the Tokopedia alternative is the best e-commerce, with a preference value of 0.8964 for AHP-WASPAS and 0.4245 for AHP-MOORA. The second and third places are Bukalapak and Lazada, respectively. The weighting of the criteria by the decision-maker, the alternative normalization process and the calculation technique for the preference value have a significant impact on the ranking results.