IMPLEMENTASI ALGORITMA AHP PADA APLIKASI REKOMENDASI DOSEN PEMBIMBING SKRIPSI BERBASIS WEB

Kurniawan, Fabio Fajar (2025) IMPLEMENTASI ALGORITMA AHP PADA APLIKASI REKOMENDASI DOSEN PEMBIMBING SKRIPSI BERBASIS WEB. S1 thesis, Universitas Muhammadiyah Ponorogo.

	Text (SURAT PERSETUJUAN UNGGAH KARYA ILMIAH) surat persetujuan unggah karya ilmiah revisi.pdf Download (387kB)
	Text (HALAMAN DEPAN) HALAMAN DEPAN.pdf Download (4MB)
	Text (BAB I) BAB I.pdf Download (557kB)
	Text (BAB II) BAB II.pdf Restricted to Repository staff only Download (1MB) | Request a copy
	Text (BAB III) BAB III.pdf Restricted to Repository staff only Download (2MB) | Request a copy
	Text (BAB IV) BAB IV.pdf Restricted to Repository staff only Download (3MB) | Request a copy
	Text (BAB V) BAB V.pdf Restricted to Repository staff only Download (483kB) | Request a copy
	Text (DAFTAR PUSTAKA) DAFTAR PUSTAKA.pdf Download (516kB)
	Text (NASKAH SKRIPSI FULL) SKRIPSI FULL.pdf Restricted to Repository staff only Download (9MB) | Request a copy
	Text (LAMPIRAN (BUKTI SS SUBMIT JURNAL BESERTA PERJANJIAN HAK CIPTA DAN PERNYATAAN ETIKA PUBLIKASI DAN SURAT PLAGIASI PERPUSTAKAAN)) LAMPIRAN.pdf Restricted to Repository staff only Download (1MB) | Request a copy

Abstract

Selecting a thesis supervisor is a critical process for students to ensure guidance aligned with their research topic and academic needs. However, the lack of comprehensive information about lecturers' qualifications often poses a challenge. This study aims to develop a web-based thesis supervisor recommendation system by implementing the Analytical Hierarchy Process (AHP) algorithm to improve student-lecturer compatibility. The evaluation criteria include communication quality (54.4%), lecturer expertise (20%), time availability (14.6%), and educational background (11%). The system was developed using PHP and MySQL with a prototype method to ensure user requirements fulfillment. Test results demonstrate AHP's effectiveness in providing objective recommendations, with the top-ranked lecturer achieving a score of 4.346 based on criterion weights. This system is expected to simplify supervisor selection, enhance mentoring efficiency, and reduce mismatches. The study is limited to the Informatics Engineering Department at Universitas Muhammadiyah Ponorogo, with recommendations for future development such as academic data integration and feedback features.

Item Type:	Thesis (S1)
Uncontrolled Keywords:	Analytical Hierarchy Process (AHP), sistem rekomendasi, dosen pembimbing, skripsi, berbasis web
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering
Depositing User:	Fabio Fajar Kurniawan
Date Deposited:	06 Nov 2025 02:04
Last Modified:	06 Nov 2025 02:04
URI:	https://eprints.umpo.ac.id/id/eprint/17477

Actions (login required)

View Item