Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Computing and Informatics Research
Selly Andari
STIKOM Tunas Bangsa, Pematang Siantar
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Pendukung Keputusan Pemilihan Merek Body Lotion Lokal Terbaik untuk Mencerahkan Kulit dengan Menggunakan Metode MAUT Nurul Aisyah; Selly Andari; Ririn Nadya Utari; Nadya; Dedy Hartama; Putrama Alkhairi
Journal of Computing and Informatics Research Vol 5 No 2 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v5i2.2636

Abstract

This study aims to determine the best local body lotion brand for skin brightening using the Multi-Attribute Utility Theory (MAUT) method. MAUT was chosen for its capability to process data based on various criteria such as benefits, quality, effectiveness, price, and brand reputation. Data were collected through online questionnaires distributed via Google Forms and shared on social media. From 36 alternatives, five local brands were selected for analysis: Marina, Citra, Scarlett, Natur-e, and Herborist. The analysis process involved determining the weight of each criterion, matrix normalization, utility evaluation, and alternative ranking. The results indicate that Marina ranks first with a score of 19, followed by Scarlett (8.7) and Citra (8.1). The MAUT method has proven effective in supporting decisions regarding the selection of the best local body lotion brand, providing objective and structured guidance for consumers.
Co-Authors Dedy Hartama Nadya Nurul Aisyah Putrama Alkhairi Ririn Nadya Utari