SISTEM REKOMENDASI MAKANAN SESUAI BUDGET BAGI WISATAWAN MENGGUNAKAN ALGORITMA GENETIKA BERBASIS WEBSITE (STUDI KASUS KECAMATAN GENTENG DAN BUBUTAN SURABAYA)

Nurhaliza, Risma (2024) SISTEM REKOMENDASI MAKANAN SESUAI BUDGET BAGI WISATAWAN MENGGUNAKAN ALGORITMA GENETIKA BERBASIS WEBSITE (STUDI KASUS KECAMATAN GENTENG DAN BUBUTAN SURABAYA). Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

The development of a web-based food recommendation system using Laravel aims to help tourists in Surabaya find places to eat that suit their preferences, overcoming the constraints of limited information and the many choices that are often confusing. This system utilizes a genetic algorithm, which was chosen for its ability to optimize recommendations based on various criteria such as budget and location. Restaurant data in Genteng and Bubutan Districts is collected and analyzed for use in the recommendation process. Functional testing shows that this system functions well, with a genetic algorithm that is able to produce optimal recommendations based on adequate fitness values and fast execution times. To improve this system, it is recommended to improve the user interface design, optimize algorithm parameters, and perform additional testing to ensure system performance and security.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Sihananto, Andreas Nugroho	NIDN0012049005	andreas.nugroho.jarkom@upnjatim.ac.id
Thesis advisor	Maulana, Hendra	NIDN1423128301	hendra.maulana.if@upnjatim.ac.id

Subjects:

Q Science > QA Mathematics > QA76.6 Computer Programming

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Mrs. Risma Nurhaliza

Date Deposited:

20 Sep 2024 03:37

Last Modified:

20 Sep 2024 03:37

URI:

https://repository.upnjatim.ac.id/id/eprint/29612