APPLICATION OF SAW METHOD ON WEB-BASED SMART TV SELECTION DECISION SUPPORT SYSTEM

PRAYOGO, NICOLAS WISNU (2022) APPLICATION OF SAW METHOD ON WEB-BASED SMART TV SELECTION DECISION SUPPORT SYSTEM. Tugas Akhir thesis, University of Technology Yogyakarta.

[img] Text
5150411127_NICOLASWISNUPRAYOGO_ABSTRAK.pdf
Download (10kB)

Abstract

ABSTRACT Smart TV is a television that can not only be used to watch TV in general, but also provides several other entertainment features. The increasing number of smart TV products makes it difficult for consumers to determine and buy smart TVs according to their wishes, needs and abilities. Based on these problems, this study designed a decision support system for selecting smart TVs using a web-based Simple Additive Weighting (SAW) method that can calculate, compare and recommend the best smart TV products based on predetermined criteria. In this study, there are 5 weighting criteria for processed products, namely price data, screen size, screen type, resolution and power consumption. This system uses several programming language technologies, namely HTML, PHP, CSS and JavaScript with MySQL as the database. The result of this research is a smart TV selection system that can recommend the best product according to the available criteria. Keywords: Decision Support System, Simple Additive Weighting, Smart TV, Web.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 06 Oct 2022 03:18
Last Modified: 06 Oct 2022 03:18
URI: http://eprints.uty.ac.id/id/eprint/10567

Actions (login required)

View Item View Item
UTY Open Access is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.