Share

Export Citation

APA
MLA
Chicago
Harvard
Vancouver
BIBTEX
RIS
Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

Strategy formulation for performance improvement of the artificial insemination program in Sinjai regency

Budiman

Iop Conference Series Earth and Environmental Science

Published: 2020Citations: 1

Abstract

Abstract The government launched the Beef Self-Sufficiency Program in 2014 to support the National Food Security and Diversification Program. One of the steps taken is the optimization of Artificial Insemination (IB) and Natural Marriage Intensification (INKA). In 2017, a new plan was issued, a special effort (Upsus) for “Sapi Indukan Wajib Bunting” (SIWAB) with the aim of increasing beef cattle population and leading to beef self-sufficiency. This study aims to assess the extent of the implementation of strategies by inseminators and breeders in achieving IB targets and to determine new strategies in optimizing the achievement of IB results. This research was conducted within the Sinjai Animal Husbandry and Animal Health Service office. Data were collected through interviews and questionnaires then analyzed using a qualitative descriptive method, IFAS (Internal Factors Analysis Summary) and EFAS (External Factors Analysis Summary), SWOT (Strengths, Weaknesses, Opportunities, Threats) and TOWS analyzes to design development strategies. As a result, SIWAB with the Artificial Insemination Program is still below the target. Evaluation of the strategy using SWOT and TOWS analysis in the artificial insemination program shows that internal forces still need to be supported by the use of external forces, in this case, government policy. Strategy formulation after the application of the TOWS matrix shows alternative strategies that can be taken to optimize the achievement of artificial insemination results.

Other files and links

Fingerprint

SWOT analysisSciences
Artificial inseminationSciences
Diversification (marketing strategy)Sciences
Government (linguistics)Sciences
BusinessSciences
PopulationSciences
EngineeringSciences
Process managementSciences
Operations managementSciences
MarketingSciences
BiologySciences
Environmental healthSciences
MedicineSciences
LinguisticsSciences
PhilosophySciences
GeneticsSciences
PregnancySciences