Fitria Dwi Handayani Yusuf, Adam Sekti Aji

Perancangan Sistem Pelayanan Klinik Gigi Berbasis Web dan Mobile dengan Integrasi Sistem Antrian Digital menerapkan Algoritma First Come First Served (FCFS)

Introduction

Perancangan sistem pelayanan klinik gigi berbasis web dan mobile dengan integrasi sistem antrian digital menerapkan algoritma first come first served (fcfs). Sistem pelayanan klinik gigi web & mobile terintegrasi antrian digital FCFS. Tingkatkan efisiensi, kurangi waktu tunggu, akurasi data, dan kepuasan pasien di klinik gigi.

Abstract

Efficient and responsive dental clinic services are essential for improving patient satisfaction and ensuring streamlined healthcare delivery. However, many independent dental clinics still rely on manual procedures for patient registration, scheduling, and queue management, which often lead to long waiting times, unpredictable service flow, and a high risk of administrative errors. These issues negatively impact the overall quality of service and reduce operational effectiveness. This study aims to design and implement a web- and mobile-based dental clinic service system integrated with a digital queuing mechanism to address these challenges. The system was developed using Flutter as the patient-facing mobile interface, Flask as the backend service responsible for managing business processes, and Supabase as the real-time database and user authentication platform. Key features of the system include patient registration and login, service booking, automated scheduling based on reservation time or arrival order, real-time queue monitoring, electronic medical record management, and integrated digital payments to facilitate transactions. Based on functional and performance testing, the system was able to reduce service processing time by up to 80% compared to manual methods, minimize data entry errors, and significantly improve the accuracy of queue management. User feedback also indicated that the system provides a more convenient and informative experience, as patients can easily monitor their queue position through the mobile application. Overall, the proposed system effectively enhances service efficiency, data accuracy, and the quality of dental clinic operations, while also demonstrating strong potential for further development and scalability across larger healthcare facilities

Review

This study addresses a pertinent issue in independent dental clinics: the inefficiencies arising from manual patient registration, scheduling, and queue management. The authors effectively highlight how these traditional methods contribute to long waiting times, administrative errors, and a diminished quality of service, thereby establishing a clear need for technological intervention. The proposed solution, a web- and mobile-based service system integrated with a digital queuing mechanism, is timely and promises to significantly enhance operational efficiency and patient satisfaction within this healthcare niche. The use of a First Come First Served (FCFS) algorithm for queue management is a straightforward and widely understood approach, fitting well with the objective of creating a predictable and fair service flow. The technical design of the system is well-articulated, outlining a modern stack comprising Flutter for the patient-facing mobile interface, Flask for the backend services, and Supabase for real-time database management and authentication. This combination suggests a robust and scalable architecture capable of handling the diverse functionalities required. Key features such as patient registration, service booking, automated scheduling, real-time queue monitoring, electronic medical record management, and integrated digital payments demonstrate a comprehensive approach to digitizing the entire patient journey. This holistic design aims to streamline various aspects of clinic operations, moving beyond mere queue management to encompass a full-suite solution. The reported outcomes underscore the significant impact of the developed system. Functional and performance testing indicate an impressive reduction in service processing time by up to 80% compared to manual methods, alongside minimized data entry errors and improved queue management accuracy. These quantitative results provide strong evidence of the system's effectiveness. Furthermore, positive user feedback regarding convenience and real-time queue monitoring through the mobile application highlights the patient-centric benefits. The study concludes by emphasizing the system's potential to enhance overall service efficiency, data accuracy, and operational quality, with promising implications for scalability to larger healthcare facilities, making a valuable contribution to healthcare technology.

Full Text

Comments

You need to be logged in to post a comment.