Automatic door machine selection decision support system using web-based simple additive weighting method.

Autor: Gabriel, Jonathan, Dewayani, Ery, Beng, Jap Tji
Předmět:
Zdroj: AIP Conference Proceedings; 2023, Vol. 2680 Issue 1, p1-11, 11p
Abstrakt: The purpose of this research is to develop a Machine Selection Decision Support System for Automatic Door based on chosen criteria and sub-criteria (parameters). In this study, there are six criteria, namely power consumption, voltage, price, door opening speed, door closing speed, and operating temperature. The six criteria were obtained from the results of interviews with the company PT. Prima Mandiri Solutions and literature studies that have been conducted This study uses the Simple Additive Weighting (SAW) method as a solution to the problem. The result obtained is a decision support system that can be accessed by Admin and Users to choose the desired automatic door machine. The program is run using XAMPP as localhost and PHPMyAdmin as database. From the trials that have been conducted, it can be concluded that the system works and helps the user in making decisions to determine the right automatic door machine. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index