Cattle Breeding Management using Smart System: A Systematic Literature Review

This paper uses a smart system to present a methodical literature review on cattle breeding management. Indonesia is a large country with a veritably large population. Indonesian people like to eat beef; thus the demand for beef in Indonesia always increases. Therefore, Indonesia needs a system to manage livestock data nationally. Sekolah Peternakan Rakyat (SPR) is one of the Bogor Agricultural Institute's programs to strengthen the people's livestock business. In addressing this issue, experimenters proposed using an intelligence system for cattle breeding management in SPR. The method used in this research is a systematic literature review (SLR). The approach used is PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Hence, this paper analyses the literature to fill the gap by conducting a scoping study to answer three pre-defined research questions. First, search for papers using publish or perish tools with a database of papers used for the last five years (2017 - 2022). Grounded on the search results, the total composition data for all data from the composition database used was 5513 papers, with an aggregate of 3010 papers in the form of journals. In comparison, the number of proceedings amounted to 239 papers. It is known that the content of cattle breeding management using information technology has been extensively carried out. Inquiries are generally carried out outside Indonesia. Although several papers discuss cattle breeding in Indonesia, the discussion is more towards livestock, not information technology.