Rancang Bangun Sistem Pakar Rekomendasi Menu Diet Berdasarkan Kebutuhan Kalori Berbasis Website

Bachtiar, Pramudya Sigit (2026) Rancang Bangun Sistem Pakar Rekomendasi Menu Diet Berdasarkan Kebutuhan Kalori Berbasis Website. S1 thesis, Universitas PGRI Madiun.

	Text Halaman Depan.pdf Download (358kB)
	Text Abstrak.pdf Download (14kB)
	Text BAB I.pdf Download (26kB)
	Text BAB II.pdf Download (250kB)
	Text BAB III.pdf Restricted to Repository staff only Download (82kB)
	Text BAB IV.pdf Restricted to Repository staff only Download (2MB)
	Text BAB V.pdf Download (12kB)
	Text Daftar Pustaka.pdf Download (145kB)
	Text Lampiran.pdf Restricted to Repository staff only Download (818kB)

Abstract

ABSTRACT Pramudya Sigit Bachtiar. 2026. Expert System Design for Diet Menu Recommendation Based on Caloric Needs Using Website. Thesis. Informatics Study Program, Faculty of Engineering, Universitas PGRI Madiun. Advisor (I) Muh.Nur Luthfi Azis, S.Kom., M.Kom. (II) Alim Citra Aria Bima, S.Pd., M.Kom. The low level of public understanding regarding daily calorie needs causes many individuals to experience difficulties in determining eating patterns that suit their body conditions. Manual diet menu determination is often less effective as it fails to consider individual specific calorie needs. This study aims to design and build a web-based expert system for diet menu recommendations that can calculate daily calorie needs and provide diet menus according to user needs. The system development method utilized is ADDIE (Analysis, Design, Development, Implementation, and Evaluation). The system was built using Native PHP programming language with a MySQL database. Daily calorie needs are calculated using the Harris-Benedict method, while the Forward Chaining method is used to determine diet menu recommendations based on the user's calorie calculation results. The research results indicate that the developed system is capable of calculating daily calorie needs based on user data and generating diet menu recommendations that align with those calorie requirements. System testing was conducted using Black Box Testing to evaluate system functionality and the System Usability Scale (SUS) to measure the level of ease of use. Based on the test results, all system functions operate properly, and the system can be used to assist users in determining diet menu recommendations according to their daily calorie needs. Keywords: System, Expert System, Diet Menu Recommendation, Caloric Needs, Website

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	System, Expert System, Diet Menu Recommendation, Caloric Needs, Website
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	BACHTIAR SIGIT PRAMUDYA
Date Deposited:	22 Oct 2026 08:11
Last Modified:	22 Oct 2026 08:11
URI:	http://eprint.unipma.ac.id/id/eprint/10582

Actions (login required)

View Item