Perkembangan Industri Makanan Halal di Bangun Purba dengan Pemanfaatan Sistem (AI) Pada Aplikasi Sihalal untuk Meningkatkan Jaminan Produk Halal Bagi UMKM

Abstract

This study aims to explore the development of the halal food industry in Bangun Purba through the utilization of artificial intelligence (AI) systems in the Sihalal application to enhance halal product assurance for Small and Medium Enterprises (SMEs). The research employs a qualitative method using SWOT analysis to identify the strengths, weaknesses, opportunities, and threats in implementing AI technology in the Sihalal application. Data were collected through in-depth interviews, observations, questionnaire and documentation with SME operators, consumers, and other relevant stakeholders. Research results indicate that the use of AI in the Sihalal application offers significant advantages, including increased efficiency in the halal certification process, reduced risk of human error, and enhanced consumer confidence in halal products. SWOT analysis is conducted using the IFAS matrix, which outlines the strengths and weaknesses factors, and the EFAS matrix, which describes the opportunities and threats factors. The external and internal factors of SMEs in Bangun Purba show a total external score of 2.84 and a total internal score of 2.77. Thus, the IE for SMEs in Bangun Purba is located at the coordinates in quadrant I. Quadrant I represents a very favorable situation. These SMEs have opportunities and strengths (S-O) to take advantage of existing opportunities. The strategy that should be implemented in this condition is to support an aggressive growth-oriented strategy