Interactive Mobile IoT Application for Monitoring Etawa Crossbreed (PE) Goat Growth in Rural Communal Farms

Ariq Cahya Wardhana; Arif Amrulloh; Rifki Adhitama

doi:10.15408/jti.v19i1.50110

Authors

Ariq Cahya Wardhana Departement of Software Engineering, Purwokerto Campus Directorate, Telkom University
Arif Amrulloh Departement of Software Engineering, Purwokerto Campus Directorate, Telkom University
Rifki Adhitama Departement of Software Engineering, Purwokerto Campus Directorate, Telkom University

DOI:

https://doi.org/10.15408/jti.v19i1.50110

Keywords:

Design thinking, Etawa Crossbreed (PE) goats, Interactive mobile application, Internet of Things (IoT), IoT livestock scale, Livestock growth monitoring

Abstract

The rapid development of communication and information technology has encouraged the adoption of the Internet of Things (IoT) in the agricultural sector, particularly in livestock management. This study presents the development of an interactive mobile IoT application for monitoring the growth of Etawa Crossbreed (PE) goats in rural communal farms. The proposed system integrates a load cell–based digital weighing scale with an IoT module to automatically record livestock weight data and store it in cloud storage, which can be accessed through a mobile application. The application also supports the recording of feed and health history to enable structured growth monitoring. The system was deployed and tested in a communal farm environment involving 20 rural farmers, where the IoT scale measured livestock weight and transmitted data wirelessly to the mobile application. A design thinking approach was employed to ensure usability and suitability for rural users. The usability evaluation using the System Usability Scale (SUS) produced an average score of 83.5, classified as excellent (Grade B), indicating high user acceptance. In addition, technical performance evaluation showed that all 20 monitoring records were successfully transmitted, resulting in a transmission success rate of 100%, with complete and consistent data storage achieving 100% data integrity. Observational latency results indicated that RFID reading required an average of 2.5 seconds, while the weighing and data synchronization process took an average of 7.5 seconds before appearing in the mobile application. These results demonstrate that the proposed system is not only user-friendly but also reliable and capable of supporting near real-time livestock monitoring in communal farming environments.

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