Decision Support System for SmartPhone Selection with AHP-VIKOR Method Recommendations

Authors

  • Akmaludin Akmaludin STMIK Nusa Mandiri Jakarta
  • Adhi Dharma Suriyanto Universitas Bina Sarana Informatika
  • Nandang Iriadi Universitas Bina Sarana Informatika
  • Budi Santoso Universitas Bina Sarana Informatika
  • Toni Sukendar Universitas Bina Sarana Informatika

DOI:

10.33395/sinkron.v8i2.11845

Keywords:

AHP, Eliminasi VIKOR, Index rating, Multi-criteria, SmartPhone.

Abstract

Produce products that have various features and diverse functions, which are able to provide convenience with the reliability of their features and functions. The advantages possessed by SmartPhone become more confident for users to assess the level of product intelligence, the more trustworthy. The purpose of this research is to provide additional knowledge on the selection of SmartPhone to the user in having a product with various benefits. The more criteria that become a barometer, the more difficult it is to choose a product in the form of a SmartPhone. Thus, the right method is needed to perform the selection of the SmartPhone. There are several methods offered to carry out the selection process for SmartPhones, namely the Analytic Hierarchy Process (AHP) method combined with the VIKOR elimination method. Both of these methods are very supportive in the selection process with many types of criteria and their meanings against these criteria. A number of criteria that serve as a barometer for selecting object-based applications are Operating System, Processor, Internal Memory, External Memory, Back Camera, Front Camera, Battery, Cassing Model, Screen Size, Wight and Price. Of the eleven criteria have two different characteristics of understanding. The results of this study can be seen explicitly on the selection of SmartPhones through the acquisition of the smallest Qi index with the three highest ratings, namely the first ranked Samsung Galaxy A3 (0.00) the second is the Xiaomi Mi 4C with an index of 0.19, the third is the Lenovo Vibe K5 Plus with index 0.31. Thus it can be said that the collaboration of the AHP and VIKOR Elimination methods is able to provide optimal decision-making support.

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How to Cite

Akmaludin, A., Suriyanto, A. D. ., Iriadi, N., Santoso, B., & Sukendar, T. . (2023). Decision Support System for SmartPhone Selection with AHP-VIKOR Method Recommendations . Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(2), 657-665. https://doi.org/10.33395/sinkron.v8i2.11845

Issue

Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023

Section

Articles

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Copyright (c) 2022 Akmaludin Akmaludin

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