<![CDATA[Livestock management requires the recording of integrated data regarding livestock identity, health, feed, growth, reproduction, and productivity. In practice, recording can still be done manually or using separate media, making it difficult to monitor and prepare reports. This research aims to develop a web-based livestock management information system to integrate monitoring of livestock health, feed, and productivity. The research uses the Design Science Research Methodology (DSRM) approach which includes problem identification, solution objectives, design and development, demonstration, evaluation, and communication. The system was developed with an integrated database that includes livestock, health, feed, productivity, and report data modules. The system test is carried out using black-box testing, while user evaluation is carried out to measure aspects of functionality, ease of use, information quality, and system benefits. The resulting system is expected to be able to improve the regularity of recording, accelerate access to livestock information, and provide an information basis for managers' decision-making. Further development can be directed at the integration of the Internet of Things (IoT), cage environmental sensors, and predictive analytics to support the implementation of precision livestock farming.]]>
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