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Journal : Buletin Ilmiah Informatika Teknologi

Implementasi Struktur Data Array dalam Sistem Perpustakaan Berbasis Web dengan Python Flask Rudianto; Sapaatullah , Asep; Rakhim Setya Permana, Basuki; Darip, Mochammad
Buletin Ilmiah Informatika Teknologi Vol. 3 No. 2: Januari 2025
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v3i2.91

Abstract

− Library services must provide convenience for users in finding books, journals, and other references, and over time, especially in the digital era, libraries must be able to adapt to the rapid evolution of information technology. Technological transformation is expected to improve the efficiency, speed, and quality of library services. However, many library services still rely on manual systems in managing book collections and circulation services. This manual system causes various problems, ranging from difficulty in finding information on book collections, inefficient recording, to long queues for the borrowing process. In addition, manual services are often unable to provide real-time book availability information, thereby reducing user satisfaction. Therefore, a technology-based solution is needed to improve the efficiency of library management and make it easier for users to access information. One approach that can be used is the development of a web-based library system using the Python Flask framework by utilizing array data structures to store book collection information in an organized manner. The results of the implementation of this system show how information technology, especially Python Flask and array data structures can be used to overcome library service problems in universities, such as integrating book management by admins, searching for books based on keywords, updating book availability status, updating borrowing status, and ordering online. This information is very useful for users to improve the efficiency of librarians' work in increasing satisfaction with library services, thus making library services more responsive to user needs.
Simulasi Model Antrean FIFO Untuk Mengoptimalisasikan Penanganan Permintaan Layanan Di KUD CV. Rama Investama Sapaatullah, Asep; Rudianto; Rakhim Setya Permana, Basuki; Darip, Mochammad
Buletin Ilmiah Informatika Teknologi Vol. 3 No. 2: Januari 2025
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v3i2.92

Abstract

Good service quality plays an important role in increasing the satisfaction and loyalty of cooperative members. However, challenges in providing optimal service often arise due to limited resources, such as limited number of employees, limited equipment and technology, and lack of training and development. The queue phenomenon is difficult to predict because the arrival time and service time are uncertain. Therefore, a more optimal queue management strategy is needed to reduce waiting time and ensure that service quality is maintained. The research method starts from problem identification, data collection, queue system modeling, to simulation result analysis. The FIFO model-based simulation approach was chosen because it allows testing various scenarios without disrupting company operations. The variables tested in this simulation include waiting time and its average, arrival time, and completion time. This simulation is designed using the Python programming language for flexibility and accuracy in testing queue scenarios. Based on the results of the simulation analysis, it was obtained that the application of the FIFO model provides a clear picture of the waiting time pattern, average waiting time, arrival time, and completion time. The simulation results show that an optimized queue management strategy can significantly reduce waiting time, especially during peak hours. In addition, with this simulation, improvement steps can be identified such as adding employees at certain times, increasing the efficiency of the service process, or using technology to support the automatic queuing system. This study provides strategic recommendations that can be implemented by KUD CV. Rama Investama in improving service quality. The implementation of the simulation results is expected to not only reduce waiting time, but also increase the satisfaction and loyalty of cooperative members, thus supporting the sustainability of overall operations.