Development of a Laravel-Based Backend Application Server to Support Farm Animal Information Management at Sein Farm Bandung City

The development of information technology has brought significant transformations across various fields, including livestock management. Sein Farm, a public technical unit under the Department of Food Security and Agriculture (DKPP) in Bandung City, Indonesia, faces challenges in recording livestock activities manually, making it prone to errors and time-consuming processes. This research proposes the development of a backend application server using the Laravel framework to support the management of sheep information at Sein Farm. The research employs the Software Development Life Cycle (SDLC) methodology with a waterfall model due to its linear and sequential nature, which facilitates system development, particularly as the system requirements are clearly defined. The system is developed by implementing a RESTful API to enable communication between the web server and database server. Middleware is utilized for authentication and authorization to enhance system security. Upon development, the system undergoes testing using Blackbox Testing to verify whether the system's output aligns with expectations. The system is also tested using Postman to ensure that each endpoint functions correctly according to the specified requirements. Subsequently, an evaluation is conducted to analyze the testing results and system performance, including data throughput, packet delay, packet loss, and middleware security for authentication and authorization. By the end of this research, the developed system is expected to assist Sein Farm in managing sheep-related information more efficiently, thereby improving the overall information management process.

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Publication Details

Published
2025-02-03
DOI
https://doi.org/10.1109/icadeis65852.2025.10933316
Primary Topic
Information Retrieval and Data Mining
Type
article
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article

Development of a Laravel-Based Backend Application Server to Support Farm Animal Information Management at Sein Farm Bandung City

Muhammad Al Makky, Hilal Huda, Aryo Bhagaskoro
Information Retrieval and Data Mining
article

Development of a Laravel-Based Backend Application Server to Support Farm Animal Information Management at Sein Farm Bandung City

Muhammad Al Makky, Hilal Huda, Aryo Bhagaskoro
article en

Abstract

The development of information technology has brought significant transformations across various fields, including livestock management. Sein Farm, a public technical unit under the Department of Food Security and Agriculture (DKPP) in Bandung City, Indonesia, faces challenges in recording livestock activities manually, making it prone to errors and time-consuming processes. This research proposes the development of a backend application server using the Laravel framework to support the management of sheep information at Sein Farm. The research employs the Software Development Life Cycle (SDLC) methodology with a waterfall model due to its linear and sequential nature, which facilitates system development, particularly as the system requirements are clearly defined. The system is developed by implementing a RESTful API to enable communication between the web server and database server. Middleware is utilized for authentication and authorization to enhance system security. Upon development, the system undergoes testing using Blackbox Testing to verify whether the system's output aligns with expectations. The system is also tested using Postman to ensure that each endpoint functions correctly according to the specified requirements. Subsequently, an evaluation is conducted to analyze the testing results and system performance, including data throughput, packet delay, packet loss, and middleware security for authentication and authorization. By the end of this research, the developed system is expected to assist Sein Farm in managing sheep-related information more efficiently, thereby improving the overall information management process.

Telkom University (ID)
Zero hunger
Openalex Percentile: Top 93%
Information Retrieval and Data Mining
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