Tamimi, Masagus Haidir
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AI-Driven Image Analysis for Enhancing Audits in Food and Beverage Industries Under GMP and SSOP Standards Tamimi, Masagus Haidir; Pratama, Yoga
Journal of Applied Food Technology Vol 12, No 1 (2025)
Publisher : Dept. Food Technology, Faculty of Animal and Agricultural Sciences, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17728/jaft.26806

Abstract

This study evaluated the application of artificial intelligence (AI)-driven image analysis for enhancing Good Manufacturing Practices (GMP) and Sanitation Standard Operating Procedures (SSOP) audits in food and beverage (F&B) catering services. Three industrial F&B establishments located in Jakarta, Cikarang, and Karawang were assessed. Images capturing key visual criteria were analyzed using an AI system based on ChatGPT-4o, with compliance scored under three different prompt formulations to evaluate AI sensitivity. Manual audits conducted by trained auditors served as a benchmark. Statistical analysis revealed that AI assessments closely aligned with manual audits across most criteria, particularly for cleanliness of food-contact surfaces, personal hygiene, and pest exclusion. However, significant prompt-induced differences were found in more interpretative criteria such as facility design and storage practices. When averaged across stable prompts, AI scores showed strong agreement with manual audits, although AI tended to assign slightly stricter scores in certain areas. No significant differences were found in SSOP compliance evaluations, indicating high consistency for sanitation-related assessments. These results demonstrate that AI-driven image analysis can reliably support GMP and SSOP audits for visually detectable parameters, improving audit efficiency, objectivity, and frequency. Nonetheless, non-visual aspects such as documentation and microbiological testing still require human oversight. Integrating AI into food safety auditing represents a promising advancement for modern F&B compliance monitoring.
Integrating Halal Consumer Awareness and Sustainability to Enhance Satisfaction and Purchase Decisions in the Franchise Ice Cream Market Ramadhanti, Naya Yasinta; Tamimi, Masagus Haidir
Journal of Applied Food Technology Vol 12, No 2 (2025)
Publisher : Dept. Food Technology, Faculty of Animal and Agricultural Sciences, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17728/jaft.29013

Abstract

Halal products contribute to sustainability by promoting ethical sourcing, transparency, and responsible production practices. This study explores how halal consumer awareness, which includes halal certification, halal consciousness, and ingredient information, influences satisfaction and purchase decisions in franchise-based ice cream outlets in Bandung, Indonesia. Data were collected from 130 respondents through a structured survey and analyzed using Structural Equation Modeling (SEM). The results show that halal awareness positively affects both satisfaction and purchasing behavior, with satisfaction serving as a mediating factor between awareness and purchase decisions. Halal certification and ingredient transparency are identified as the strongest indicators shaping awareness, while product taste and service quality are key drivers of satisfaction. The findings emphasize that understanding halal principles and maintaining product transparency enhance consumer trust, loyalty, and long-term engagement. The study underscores the role of halal assurance as part of a broader sustainability strategy, providing insights for developing responsible and competitive halal food marketing practices.