Fajri, Muhammad and Suyantohadi, Atris and Marwati, Tri and Sutiarso, Lilik (2025) Preliminary study: ultrasonic-based detection system design for identifying pork in sausage products. In: 3rd International Conference on Food and Agricultural Sciences, ICFAS 2025, 26 August 2025 - 27 August 2025, Yogyakarta.
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Abstract
Ensuring the absence of pork in processed meat products is crucial for halal compliance, especially in Muslim-majority countries. This study presents a preliminary evaluation of the design and performance of an ultrasonic-based detection system developed for rapid and non-destructive identi>ication of pork content in sausage products. The system employs a 40 kHz ultrasonic transducer, a signal processing module, and a real-time user interface to capture the acoustic differences between pork and beef. Four parameters (wave velocity, attenuation, damping, and signal energy) were measured for 20 sausage samples (10 beef and 10 pork samples). Statistical analysis revealed a signi>icant difference in wave velocity (p = 0.0024), with beef sausages exhibiting higher average values (80.76 m/s) than pork sausages (64.85 m/s). The signal energy approached signi>icance (p = 0.098), whereas the other parameters showed no signi>icant differences. These >indings highlight the wave velocity as a promising indicator for pork detection. Future work will expand the sample size and re>ine the system to improve accuracy. Overall, the proposed method shows promise as a portable, cost-effective, and noninvasive tool for supporting halal veri>ication in industrial and consumer applications. © 2026 Institute of Physics Publishing. All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 0; Conference name: 3rd International Conference on Food and Agricultural Sciences, ICFAS 2025; Conference date: 26 August 2025 through 27 August 2025; Conference code: 218551; All Open Access, Gold Open Access |
| Subjects: | S Agriculture > S Agriculture (General) |
| Divisions: | Faculty of Agricultural Technology > Agro-Industrial Technology |
| Depositing User: | Diah Ari Damayanti |
| Date Deposited: | 27 Jul 2026 04:07 |
| Last Modified: | 27 Jul 2026 04:07 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/28332 |
