Algi Alghifari

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

Introduction

Design and implementation of a web-based campus facility borrowing system using the simple additive weighting (saw) method (case study: politeknik sukabumi). Web-based campus facility borrowing system using SAW method. Objective loan approvals, resolves conflicts, and improves efficiency for educational institutions.

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.

Review

This paper presents a timely and relevant solution to a common administrative challenge in educational institutions: the manual and often problematic process of campus facility borrowing. By proposing the design and implementation of a web-based system for facility reservations, the authors aim to address issues such as schedule conflicts, delays, and a lack of transparency. The core innovation lies in the integration of the Simple Additive Weighting (SAW) method to objectively determine borrower priority, a crucial step towards enhancing efficiency and fairness in resource allocation. This approach positions the study as a practical application of decision support systems in an administrative context, directly benefiting campus operations. The methodology details the application of the SAW method considering four key criteria: activity impact, urgency, loan duration, and borrower status, each weighted and normalized to derive a priority score. The system's technical foundation leverages the Laravel framework and MySQL database, providing a robust web-based interface for both users and administrators. A significant finding highlighted in the abstract is the reported 100% accuracy of the system's output when compared against manual Excel calculations. This demonstrates a strong internal consistency and correct implementation of the SAW algorithm, suggesting that the system can indeed provide objective and reliable recommendations for facility loan approvals, thereby streamlining decision-making processes. While the reported 100% accuracy in calculation validation is commendable, a more comprehensive review would ideally delve deeper into the *effectiveness* and *impact* of the system beyond mere computational correctness. Future work, or a more detailed paper, should elaborate on aspects such as user acceptance rates, system performance under load, the real-world reduction in conflicts, and qualitative feedback from administrators and borrowers regarding the perceived fairness and ease of use. Additionally, exploring the sensitivity of the SAW method to changes in criteria weights and potential for multi-criteria analysis beyond SAW could offer valuable insights. Nevertheless, this work lays a solid foundation for an objective and efficient facility borrowing system within a campus environment.

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