Rancang Bangun Sistem Electronic Nose untuk Mendeteksi Tingkat Kesegaran Udang Vaname

Febrianta, Sheva Eka (2026) Rancang Bangun Sistem Electronic Nose untuk Mendeteksi Tingkat Kesegaran Udang Vaname. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kesegaran udang vaname merupakan parameter penting yang menentukan mutu, keamanan pangan, dan nilai ekonominya. Penilaian kesegaran secara konvensional masih mengandalkan pengamatan visual dan penciuman manusia sehingga bersifat subjektif serta dipengaruhi oleh pengalaman dan kondisi penguji. Penelitian ini bertujuan merancang dan mengevaluasi sistem electronic nose berbasis sensor gas sebagai metode non-destruktif untuk mengidentifikasi tingkat kesegaran udang vaname berdasarkan pola senyawa volatil yang dihasilkan selama penyimpanan. Sistem dikembangkan menggunakan mikrokontroler Arduino Mega 2560 yang diintegrasikan dengan tiga sensor gas, yaitu MQ-135, MQ-136, dan MQ-137. Sampel udang disimpan pada suhu ruang dan diukur secara berkala, kemudian data keluaran sensor dikonversi menjadi nilai Rs/Ro, dinormalisasi menggunakan metode z-score, dan dianalisis dengan Principal Component Analysis (PCA) untuk memvisualisasikan karakteristik pola aroma. Hasil penelitian menunjukkan bahwa ketiga sensor memberikan respons yang konsisten terhadap perubahan tingkat kesegaran udang. Sensor MQ-136 memperlihatkan sensitivitas tertinggi terhadap peningkatan gas hidrogen sulfida, sedangkan MQ-137 memberikan respons yang kuat terhadap amonia dan MQ-135 berperan dalam mendeteksi perubahan senyawa volatil secara umum. Analisis PCA menghasilkan kontribusi variansi sebesar 87,88% pada komponen utama pertama (PC1), sedangkan kontribusi kumulatif PC1 dan PC2 mencapai 99,63%. Visualisasi score plot memperlihatkan pemisahan klaster yang jelas antara sampel segar dan tidak segar sesuai waktu penyimpanan, sehingga menunjukkan kemampuan sistem dalam mengenali perubahan pola aroma secara bertahap. Hasil tersebut membuktikan bahwa kombinasi sensor gas MOS dan metode PCA mampu menghasilkan sistem electronic nose yang objektif, efektif, dan berpotensi diterapkan sebagai teknologi pendukung pengendalian mutu pada industri perikanan dan distribusi produk udang.
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Freshness is a critical quality attribute that determines the safety, market value, and consumer acceptance of vannamei shrimp. Conventional freshness assessment primarily relies on visual inspection and the human sense of smell, making the evaluation subjective and highly dependent on the inspector's experience. This study aimed to develop and evaluate a gas sensor based electronic nose as a rapid, non-destructive approach for identifying the freshness level of vannamei shrimp through the detection of volatile compounds generated during storage. The proposed system employed an Arduino Mega 2560 microcontroller integrated with three metal oxide semiconductor gas sensors, namely MQ-135, MQ-136, and MQ-137. Shrimp samples were stored at room temperature and measured periodically. Sensor outputs were converted into Rs/Ro values, standardized using z-score normalization, and analyzed using Principal Component Analysis (PCA) to characterize aroma patterns associated with freshness deterioration. The results demonstrated that all sensors consistently responded to changes in shrimp freshness. MQ-136 exhibited the highest sensitivity to hydrogen sulfide, MQ-137 effectively detected ammonia, while MQ-135 contributed to the detection of volatile organic compounds. PCA analysis revealed that the first principal component (PC1) explained 87.88% of the total variance, whereas the cumulative variance of PC1 and PC2 reached 99.63%. The resulting score plot showed a clear separation between fresh and spoiled shrimp samples according to storage duration, indicating that the developed system successfully captured progressive changes in aroma characteristics. These findings demonstrate that the combination of MOS gas sensors and PCA provides an objective, reliable, and efficient electronic nose for shrimp freshness assessment, with strong potential for supporting quality control and postharvest monitoring in the seafood processing and distribution industries

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Electronic Nose, Vannamei Shrimp Freshness, Gas Sensor, PCA, Electronic Nose, Kesegaran Udang Vaname, Sensor Gas, PCA
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ230 Machine design T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
Divisions:	Faculty of Vocational > Mechanical Industrial Engineering (D4)
Depositing User:	Sheva Eka Febrianta
Date Deposited:	28 Jul 2026 04:04
Last Modified:	28 Jul 2026 04:07
URI:	http://repository.its.ac.id/id/eprint/138475

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