Sistem Pendukung Keputusan Pemilihan Jurusan Pada Perguruan Tinggi Menggunakan Metode Simple Additive Weighting

Novita, Dela (2025) Sistem Pendukung Keputusan Pemilihan Jurusan Pada Perguruan Tinggi Menggunakan Metode Simple Additive Weighting. Other thesis, Politeknik Negeri Bengkalis.

[thumbnail of Abstract] Text (Abstract)
TA-6304211401-Abstract.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (73kB)
[thumbnail of Bab I Pendahuluan] Text (Bab I Pendahuluan)
TA-6304211401-Bab I Pendahuluan.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (83kB)
[thumbnail of Daftar Pustaka] Text (Daftar Pustaka)
TA-6304211401-Daftar Pustaka.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (76kB)
[thumbnail of Full Text] Text (Full Text)
TA-6304211401-Full Text.pdf - Submitted Version
Restricted to Registered users only
Available under License Creative Commons Attribution Share Alike.

Download (2MB)

Abstract

Selecting a university major is a critical decision that influences students' futures. Errors in choosing a major can lead to negative outcomes, such as misalignment with personality, difficulty in academic progress, and financial waste. To assist students in selecting a major aligned with their interests, talents, and other criteria, this research develops a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method.The objective of this study is to develop a DSS application that provides objective recommendations based on criteria such as cost, accreditation, job prospects, and environmental support. The system development follows the Extreme Programming methodology, which includes four main stages: planning, design, coding, and testing. Data were collected through interviews and document analysis related to students’ needs in major selection. The results show that the SAW method is effective in providing accurate major recommendations. The system produces a ranking of majors based on weighted criteria, enabling students to make quick and precise decisions.In conclusion, this application serves as a useful tool for supporting an efficient and objective major selection process, minimizing the risk of errors in decision-making.

Item Type: Thesis (Other)
Uncontrolled Keywords: Decision Support System, SAW Method, Major Selection
Subjects: 000 – UMUM, ILMU KOMPUTER, DAN INFORMASI > 005 – Pemrograman, Perangkat Lunak > 005.3 Perangkat Lunak (Software)
Divisions: Jurusan Teknik Informatika > Sarjana Terapan (D-IV) Rekayasa Perangkat Lunak > SKRIPSI
Depositing User: D-IV Rekayasa Perangkat Lunak Kelas C
Date Deposited: 20 Aug 2025 14:25
Last Modified: 20 Aug 2025 14:25
URI: https://eprints.polbeng.ac.id/id/eprint/2054

Actions (login required)

View Item
View Item