Pengembangan Metode Pendeteksian Adulterasi Kandungan Melamin Pada Produk Susu Segar Dengan Thermal Image Processing

Naradiyanti, Azhrella (2025) Pengembangan Metode Pendeteksian Adulterasi Kandungan Melamin Pada Produk Susu Segar Dengan Thermal Image Processing. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Adulterasi melamin pada produk susu merupakan isu mengkhawatirkan dalam hal keamanan pangan karena sifatnya yang toksik dan sulit terdeteksi secara kasat mata. Penelitian ini mengembangkan metode pendeteksian adulterasi melamin pada susu segar dengan menggunakan thermal image processing yang didapatkan oleh kamera termal dengan melakukan analisis nilai ekstraksi fitur RGB atau Red, Green, dan Blue serta konversinya menjadi nilai greyscale. Sampel susu dengan konsentrasi adulterasi 0-5% dipanaskan dengan alat pemanas lampu inframerah hingga mencapai suhu 39-40°C yang kemudian dibiarkan dingin pada suhu ruang selama 25 menit. Pada rentang waktu ini diambil citra termal yang kemudian akan diambil satu time frame tiap satu menit untuk diekstrak nilai RGB dari ROI (Region Of Interest) masing-masing citra. Analisis regresi linear digunakan untuk menilai hubungan antara nilai kanal dengan konsentrasi melamin, serta validasi dilakukan dengan melakukan perhitungan residual. Hasil menunjukkan bahwa kanal green dan greyscale memiliki nilai koefisien determinasi (R2) paling tinggi sebesar 0,94 pada menit ke-25 menunjukkan hubungan linier yang kuat. Demikian kanal red menunjukkan nilai residual yang paling stabil dan rendah mengindikasikan keandalann prediksi. Kanal blue tidak bisa digunakan dalam permodelan karena tidak menunjukkan korelasi yang jelas dan konsisten terhadap konsentrasi melamin. Urutan kecepatan laju pendinginan tidak selalu sebanding dengan konsentrasi akibat faktor distribusi endapan melamin. Metode yang dikembangkan berpotensi sebagai pendekatan non-destruktid yang murah dan praktis untuk mendeteksi melamin pada susu segar.
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Melamine adulteration in dairy products is a concerning issue in food safety due to its toxic nature and the difficulty of visual detection. This study developed a method for detecting melamine adulteration in fresh milk using thermal image processing acquired from a thermal camera, by analyzing the extracted RGB (Red, Green, Blue) features and their conversion to greyscale values. Milk samples with adulteration concentrations ranging from 0% to 5% were heated using an infrared lamp until they reached a temperature of 39–40°C, then allowed to cool at room temperature for 25 minutes. During this cooling period, thermal images were captured, and one time frame was extracted per minute to obtain the RGB values from the Region of Interest (ROI) of each image. Linear regression analysis was used to assess the relationship between color channel values and melamine concentration, and validation was performed through residual calculation. The results showed that the green and greyscale channels had the highest coefficient of determination (R²), reaching 0.94 at the 25th minute, indicating a strong linear relationship. Meanwhile, the red channel exhibited the most stable and lowest residuals, indicating reliable prediction. The blue channel could not be used in modeling due to its lack of clear and consistent correlation with melamine concentration. The rate of cooling did not always correspond directly with the melamine concentration, likely due to the distribution of melamine sedimentation. The developed method shows potential as a low-cost, practical, and non-destructive approach for detecting melamine in fresh milk.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Adulterasi melamin, Kamera termal, Melamin, Termografi, Thermal image processing, Susu segar, Fresh milk, Melamine, Melamine adulteration, Thermal camera, Thermal image processing, Thermography.
Subjects:	Q Science > QC Physics > QC457 Infrared technology. T Technology > T Technology (General) > T385 Visualization--Technique T Technology > T Technology (General) > T57.5 Data Processing T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques. Image analysis--Data processing. T Technology > TA Engineering (General). Civil engineering (General) > TA593.35 Instruments, cameras, etc.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Azhrella Naradiyanti
Date Deposited:	31 Jul 2025 07:46
Last Modified:	31 Jul 2025 07:46
URI:	http://repository.its.ac.id/id/eprint/124184

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