Implementasi metode weighted product(wp) dalam sistem pendukung keputusan pemilihan jenis makanan berdasarkan jenis olahraga

Resnu, Muhammad Bisma Agung (2018) Implementasi metode weighted product(wp) dalam sistem pendukung keputusan pemilihan jenis makanan berdasarkan jenis olahraga. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

[img] Text
Cover.pdf - Accepted Version

Download (762kB)
[img]
Preview
Text
Abstract.pdf - Accepted Version

Download (7kB) | Preview
[img]
Preview
Text
Abstrak.pdf - Accepted Version

Download (122kB) | Preview
[img]
Preview
Text
Bab I.pdf - Accepted Version

Download (340kB) | Preview
[img]
Preview
Text
Bab II.pdf - Accepted Version

Download (434kB) | Preview
[img]
Preview
Text
Bab III.pdf - Accepted Version

Download (26kB) | Preview
[img] Text
Bab IV.pdf - Accepted Version
Restricted to Registered users only

Download (2MB)
[img]
Preview
Text
Bab V.pdf - Accepted Version

Download (161kB) | Preview
[img]
Preview
Text
Daftar Pustaka.pdf - Accepted Version

Download (129kB) | Preview

Abstract

The advancement of information technology is growing rapidly and will continue to evolve with the development of increasingly modern times. The development of science and technology now has penetrated into various aspects of human life. The development of information technology has many benefits in human life to solve problems one of them in the field of sports, namely the Gym. The lack of instructors that explains the type of exercise and the food to be consumed is one of the problems. The need for applications that support sportsmen to help them get the right formula for exercise. It is necessary to have a Decision Support System to assist athletes in choosing the right food so that with certain considerations can choose according to needs. The research method used is Weighted Product (WP). This method overcomes complex multi-criteria problems into hierarchies. With this application, it is expected to help Athlete's Instructor and Exercise Work. Keywords-component; Gym, Food, Decision Support System, WP

Item Type: Thesis (Undergraduate Thesis)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Industrial Engineering and Informatics > Informatics Engineering
Depositing User: KinatJr
Date Deposited: 01 Mar 2019 04:07
Last Modified: 26 Apr 2021 03:58
URI: http://repository.ittelkom-pwt.ac.id/id/eprint/5238

Actions (login required)

View Item View Item