DESIGN AND IMPLEMENTATION OF A WEB-BASED CAMPUS FACILITY BORROWING SYSTEM USING THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD (CASE STUDY: POLITEKNIK SUKABUMI)

Algi Alghifari

Abstract


The development of information technology has encouraged educational institutions to adopt digital systems to improve efficiency and service effectiveness, including in managing campus facility reservations. The manual process of facility borrowing often causes schedule conflicts, delays, and a lack of transparency. To address these issues, this study aims to develop a web-based campus facility loan application capable of determining borrower priority objectively using the Simple Additive Weighting (SAW) method, and to evaluate the accuracy and effectiveness of the method in providing loan approval recommendations.

The SAW method is applied as the decision-making basis by considering four criteria: activity impact, urgency, loan duration, and borrower status. Each criterion is weighted and normalized to produce a final score that determines the priority order of loan requests. The application was developed using the Laravel framework and MySQL database, with a web-based interface designed to simplify the borrowing and approval process for users and administrators.

Based on testing results comparing the system output with manual Excel calculations, the system achieved an accuracy rate of 100%, indicating that the implementation of the SAW method works correctly and consistently with theoretical principles. Thus, the system can provide objective facility loan recommendations and improve decision-making efficiency within the campus environment.


Keywords


SAW, Decision Support System, Facility Loan, Laravel, MySQL.

Full Text:

PDF

References


M. S. Ramadhan, S. D. Apriliani, N. S. Firjatullah, and R. Y. P. Pratama, “DAMPAK PERKEMBANGAN TEKNOLOGI DIGITAL DI SEKTOR PENDIDIKAN Muhhamad Satria Ramadhan , Salsa Diah Apriliani , Nabilah Sahda Firjatullah , Rakha Yolanda Puji Pratama Universitas Pembangunan Nasional Veteran Jawa Timur Abstrak Perkembangan teknologi digital,” J. Compr. Sci., vol. 2, no. 6, pp. 1772–1784, 2023.

T. K. Vashishth, R. Panwar, and S. Chaudhary, “THE IMPACT OF INFORMATION TECHNOLOGY ON THE EDUCATION SECTOR : THE IMPACT OF INFORMATION TECHNOLOGY ON THE EDUCATION SECTOR : AN ANALYSIS OF THE ADVANTAGES , CHALLENGES , AND STRATEGIES FOR EFFECTIVE,” no. April, 2023, doi: 10.1729/Journal.33870.

M. S. Fuadi, “Sistem Informasi Peminjaman Fasilitas Barang Untuk Proses Belajar Mengajar Menggunakan Barcode Berbasis Web,” Jeti, vol. 2, no. 2, pp. 53–60, 2021.

I. Khasbi, F. Nugraha, and S. Muzid, “Universitas Muria Kudus Berbasis Web Menggunakan Fitur,” vol. 7, no. 2, pp. 513–520, 2016.

I. N. Bernadus and P. W. Gunawan, “Perancangan Sistem Informasi Peminjaman Sarana dan Prasarana Universitas Dhyana Pura Berbasis Web,” Simpatik J. Sist. Inf. dan Inform., vol. 4, no. 1, pp. 18–28, 2024, doi: 10.31294/simpatik.v4i1.2997.

Rachmawati, R. A. Sani, M. Meilani, F. Mileanasari, and Darmawan, “Implementasi Sistem Peminjaman Ruang Berbasis Web Untuk Efisiensi Manajemen Dengan Evaluasi Pieces,” J. Ilm. Inform. Komput., vol. 30, no. 1, pp. 42–53, 2025, doi: 10.35760/ik.2025.v30i1.14139.

A. A. Neni, I. Nengah Juniawan, D. A. Eka, and R. Dewi, “Sistem Pendukung Keputusan Pengelolaan Aset Dengan Metode SIMPLE ADDITIVE WEIGHTING (SAW) Di Universitas Triatma Mulya Psdku Jembrana,” vol. 05, no. 2, pp. 12–24, 2024.

W. A. Samsudin and A. I. Nurhidayat, “IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING ( SAW ) DALAM PERANCANGAN APLIKASI SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMAAN KARYAWAN BERBASIS WEBSITE PADA PT . ETERNITY TECH INTERNATIONAL”.

N. Salsabilla and H. F. Siregar, “Sistem Pendukung Keputusan dengan Aplikasi Sistem Pendukung Keputusan Pemilihan Anggota HIMPROSI Menggunakan HIMPROSI Member Selection Decision Support System Using the Simple Additive Weighting Method,” 2024.

Handayani Metha Putri, “Sistem Pendukung Keputusan Pemberian Pinjaman Karyawan PTBA UPO dengan Metode SIMPLE ADDITIVE WEIGHTING (SAW),” J-HyTEL J. Hypermedia Technol. Learn., vol. 1, no. 2, pp. 64–74, 2023.


Refbacks

  • There are currently no refbacks.