relation: https://digilib.uin-suka.ac.id/id/eprint/74474/
title: OPTIMASI METODE DEMPSTER-SHAFER MENGGUNAKAN FUZZY LOGIC PADA SISTEM PENDUKUNG KEPUTUSAN PEMINATAN MAHASISWA TEKNIK INFORMATIKA
creator: Ahmad Bahrul Ulum, NIM.: 23206052008
subject: 005.36 Sistem Informasi
description: The selection of study specialization is an important  decision for Informatics Engineering students, yet it is often  made subjectively and without sufficient data-based support.  Academic grades, interest preferences, and aptitude test  results are often uncertain or incomplete, leading to  difficulties in decision-making. The fuzzy logic method is  capable of handling data ambiguity, while Dempster–Shafer  theory can manage incomplete evidence. However, each has  limitations when used independently. Therefore, this study  develops a decision support system (DSS) based on the  integration of fuzzy logic and Dempster–Shafer theory to assist  students in determining their study specialization more  accurately and objectively.  This research applies a system engineering approach  using the Waterfall model to design and implement the  specialization recommendation system. The study subjects are  32 fourth-semester students of the Informatics Engineering  Program at Nahdlatul Ulama Sunan Giri University. The data  used include academic grades, interest preferences, and  aptitude test results. The fuzzy process is employed to convert  numerical and linguistic data into membership degrees, while  the Dempster–Shafer method processes the fuzzy outputs into  belief and plausibility values for each available specialization  option.  The results show that the integration of fuzzy logic and  Dempster–Shafer theory can be effectively implemented in the  specialization decision support system. Fuzzy logic plays an  important role in representing academic and interest data in a  more interpretable linguistic form, while Dempster–Shafer  theory effectively combines the fuzzy results to produce  proportional belief values for each specialization alternative.  The developed system has proven to be effective in providing  study specialization recommendations with higher accuracy  and consistency compared to using individual methods.
date: 2025-09-29
type: Thesis
type: NonPeerReviewed
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/74474/1/23206052008_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/74474/2/23206052008_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
identifier:   Ahmad Bahrul Ulum, NIM.: 23206052008  (2025) OPTIMASI METODE DEMPSTER-SHAFER MENGGUNAKAN FUZZY LOGIC PADA SISTEM PENDUKUNG KEPUTUSAN PEMINATAN MAHASISWA TEKNIK INFORMATIKA.  Masters thesis, UIN SUNAN KALIJAGA YOGYAKARTA.