Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Teknologi
Kusnul Kotimah
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Mercu Buana Yogyakarta, Jl. Jembatan Merah No. 84C Gejayan, Yogyakarta 55283, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering

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

Found 1 Documents
Search

 1 
Sistem Pakar Penentuan Jenis Kulit Wajah Menggunakan Metode Dempster Shafer Kusnul Kotimah; Albert Yakobus Chandra
Jurnal Sains dan Teknologi (JSIT) Vol. 2 No. 1 (2022): Jurnal Sains dan Teknologi (JSIT)
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1077.557 KB) | DOI: 10.47233/jsit.v2i1.75

Abstract

Omah Milla is a beauty treatment center that provides services from head to toe. One of the existing facilities is consulting services to determine the right treatment, but until now the consultation facility is only served offline. In order to continue to develop in improving services, Omah Milla wants to present an online consultation system that can be accessed by everyone so that customers can consult at anytime and anywhere. In addition, the general public can also use this system to check facial skin types, so they don't need to hesitate to determine the type of facial skin and use the right skincare. In this study, an expert system was created to determine the type of facial skin. The method used was the dempster shader. The flow of using this system is firstly the user is asked to choose the symptoms experienced, then the system processes it by calculating the dempster shafer and the results of the skin type can be directly seen by the user. This system has gone through the functionality test phase and everything is running and functioning well. To determine the accuracy of the system, the researcher compared 50 data from experts with an expert system and this study has an accuracy value of 100%.
Co-Authors Albert Yakobus Chandra