Utilization of Geospatial Software for Map-Based Cattle Feed Information: A Case of ICCIS, Indonesia

Mohammad Ikhsan Shiddieqy; Priyono; Yeni Widiawati; Aris Pramudia; Agustin Herliatika; Slamet Widodo; Maureen Chrisye Hadiatry; Bess Tiesnamurti; Eko Handiwirawan

doi:DOI: 10.3923/ijds.2024.35.45

Background and Objective: The data from the livestock sector is useful for science-based policymaking. Data presentation will contribute positively to the development of the livestock sector in Indonesia. Feed requirements data for ruminants is essential in the livestock business. However, data on feed requirements are often lacking in presentation quality and are mostly presented in tabular or numeric. This study aims to describe the utilization of geospatial software in making map-based ruminant feed requirements data in the Integrated Cropping Calendar Information System (ICCIS) which covers all subdistricts in Indonesia. Materials and Methods: The method used in this study was descriptive. The study meticulously outlined the stages involved in generating map-based feed requirements data using geospatial software. The feed requirements status was presented with a specific color on the map. The data on feed requirements is derived from livestock population data and nutrients required by animals. Results: This study highlights the crucial role of geospatial software in presenting map-based data for assessing the requirements of ruminant feed in a given region. Integrating geospatial data of feed requirements with other sources of information such as quantity of feed resources, enables a comprehensive and accurate analysis to facilitate the decision-making for livestock management and development. Conclusion: By utilizing geospatial software, it becomes possible to provide a comprehensive and concise overview of the requirements of ruminant feed in a region, which can assist in identifying areas with feed deficits and prioritizing interventions to improve feed security. Therefore, geospatial software is essential for effectively mapping and efficiently analyzing ruminants’ feed requirements.