Electronic Theses and Dissertation

Penelitian ini bertujuan untuk mengeksplorasi potensi spektroskopi modern dalam autentikasi telur ayam organik dan non-organik menggunakan spektrum Near-Infrared Spectroscopy (NIRS) dan Laser Induced Breakdown Spectroscopy (LIBS). Sebanyak 175 butir telur dianalisis, yang dikelompokkan ke dalam tujuh kategori berdasarkan sumber pakan yang diberikan, yaitu 100% organik, 100% non-organik, 75% organik, 75% non-organik, 50% organik, ayam yang dilepas, dan telur yang diperoleh dari pasar tradisional Ulee Kareng, masing-masing terdiri dari 25 butir. Spektrum NIRS direkam pada rentang panjang gelombang 350-2500 nm, sementara spektrum LIBS direkam pada rentang 200-900 nm. Sebanyak 350 data spektrum dinormalisasi dan di proses menggunakan Multiplicative Scatter Correction (MSC), filter Savitzky-Golay, dan detrending sebelum dianalisis dengan Principal Component Analysis (PCA). Analisis berdasarkan score plot PCA menunjukkan bahwa NIRS berhasil membedakan telur organik dan non-organik dengan persentases pemisahan 100%, sedangkan LIBS mencapai persentase pemisahan 86%. Hasil ini menunjukkan bahwa NIRS memiliki keunggulan signifikan dibandingkan LIBS dalam autentikasi telur organik dan non-organik. Selain itu, telur dari kategori ayam dilepas menunjukkan pola spektral yang serupa dengan telur dari ayam yang diberi pakan 100% organik. Telur yang diperoleh dari pasar Ulee Kareng terdistribusi merata dalam kelompok organik dan non-organik. Penelitian ini memberikan kontribusi penting dalam pengembangan metode non-destruktif untuk mengontrol kualitas dan autentikasi telur di industri pangan.

Kata Kunci : Autentikasi, Telur Ayam Organik, Near-Infrared Spectroscopy (NIRS), Laser Induced Breakdown Spectroscopy (LIBS), Principal Component Analysis (PCA).

This study aims to explore the potential of modern spectroscopy in the authentication of organic and non-organic chicken eggs using Near-Infrared Spectroscopy (NIRS) and Laser Induced Breakdown Spectroscopy (LIBS) spectra. A total of 175 eggs were analyzed, which were grouped into seven categories based on the source of feed given, namely 100% organic, 100% non-organic, 75% organic, 75% non-organic, 50% organic, free-range chickens, and eggs obtained from the Ulee Kareng traditional market, each consisting of 25 eggs. NIRS spectra were recorded in the wavelength range of 350-2500 nm, while LIBS spectra were recorded in the range of 200-900 nm. A total of 350 spectral data were normalized and processed using Multiplicative Scatter Correction (MSC), Savitzky-Golay filter, and detrending before being analyzed with Principal Component Analysis (PCA). Analysis based on PCA score plot showed that NIRS successfully distinguished organic and non-organic eggs with a separation percentage of 100%, while LIBS achieved a separation percentage of 86%. These results indicate that NIRS has significant advantages over LIBS in the authentication of organic and non-organic eggs. In addition, eggs from the released chicken category showed similar spectral patterns to eggs from chickens fed 100% organic feed. Eggs obtained from the Ulee Kareng market were evenly distributed in the organic and non-organic groups. This study provides an important contribution to the development of non-destructive methods for controlling the quality and authentication of eggs in the food industry. Keywords: Authentication, Organic Chicken Eggs, Near-Infrared Spectroscopy (NIRS), Laser Induced Breakdown Spectroscopy (LIBS), Principal Component Analysis (PCA).