Prediksi Kadar Air Beras Menggunakan NIRS dengan Metode PLS dan Pretreatment Standard Normal Variate, Derivative-I, Savitzky Golay Smoothing

Nurhasanah Nurhasanah, Kiman Siregar, Zulfahrizal Zulfahrizal

Abstract


Abstrak, Kadar air merupakan suatu komponen penting dalam beras. Pengukuran kadar air dapat dilakukan menggunakan oven, alat elektronik seperti moisture tester, serta dengan penggunaan gelombang elektromagnetik seperti NIRS. Penelitian ini bertujuan menguji dan mengevaluasi teknologi NIRS sebagai metode cepat dan tepat dalam memprediksi kadar air beras dengan metode Partial Least Squares (PLS) serta menentukan metode koreksi spektrum yang terbaik dan akurat untuk memprediksi kadar air beras dengan menggunakan pretreatment Standard Normal Variate (SNV), Derivative- I (D-1)danSavitzky Golay Smoothing (SGS). Penelitian ini menggunakan Beras merk MB yang berasal dari pasar Rukoh Banda Aceh, yang berjumlah 20 sampel atau 300 gram. Perlakuan yang diberikan pada beras yaitu tanpa perendaman dan perendaman selama 5, 10, dan 15 menit. Prediksi kadar air beras dengan NIRS menggunakan alat self developed FT-IR IPTEK T-1516 dan metode referensi yang digunakan adalah metode gravimetri yang berdasarkan pada Association of Official Analytical Chemists (AOAC). Pengolahan data menggunakan Unscramble software® X version 10.5. Hasil penelitian menunjukkan prediksi kadar air beras dengan metode Partial Least Squares (PLS) menghasilkan good model performance dengan nilai RPD yang didapat yaitu 2,24 dan metode koreksi terbaik pada penelitian ini adalah Derivative-I dengan nilai RPD 2,57, r sebesar 0,9169, R2 sebesar 0,8407 dan RMSEC sebesar 1,6620.

Prediction of Rice Moisture Content Using NIRS with PLS and Pretreatment Standard Normal Variate, Derivative-I, savitzky Golay Smoothing

Abstract, Moisture content is an important component in rice. Measurement of moisture content can be analyzed using an oven, electronic devices such as moisture tester, and by using the use of electromagnetic waves such as NIRS. This study aims to examine and evaluate NIRS technology as a faster and proper method in predicting rice moisture content by Partial Least Squares (PLS) method and determining the best and accurate spectrum correction method to predict rice water content using Standard Normal Variate (SNV) pretreatment, Derivative-I (D-1) and Savitzky Golay Smoothing (SGS). This study uses MB brand rice from the Rukoh market in Banda Aceh, with total 20 samples or 300 grams. The treatment given to rice are without soaking and soaking for 5, 10, and 15 minutes. Prediction of rice water content with NIRS using a self-developed FT-IR IPTEK T-1516 and the reference method used is a gravimetric method based on the Association of Official Analytical Chemists (AOAC). Data processing using Unscramble software® X version 10.5. The results showed the prediction of rice water content by the Partial Least Squares (PLS) method showed a good performance model with the RPD value obtained was 2.24 and the best correction method in this study was Derivative-I with an RPD value of 2.57, r of 0, 9169, R2 of 0.8407 and RMSEC of 1.6620.



Keywords


NIRS; PLS; Beras; Kadar Air; NIRS; PLS; Rice; Moisture Content

References


AOAC. 2005. Official Methods of Analysis Assosiation of Official Analytical Chemists Benjamin Franklin Station, Washington DC.

Badan Pusat Statistik Provinsi Aceh [BPS]. Produktivitas Tanaman Padi dan Palawija Aceh. Aceh.

Budiastra, I. W., H. Andriantya, H. K. Purwadaria. 2016. Non Destructive Nutrient Determination of Maize Using NIR Method. Jurnal Department of Mechanical and Biosystem Engineering. Bogor Agricultur University. Bogor. Indonesia.

Cen, H dan Y. He. 2007. Theory and Application of Near Infrared Reflectance Spectroscopy in Determination of Food Quality. J. Trends in Food Sci & Technol.18:72-83.

Chen, H., C. Tan, Z. Lin. 2018. Authenticaty Detection of Black Rice by Near Infrared Spectroscopy and Support Vector Data Description. International Journal of Analytical Chemistry. 1-8.

Cozzolino, D.,W. U. Cynkar, N. Shah,P. Smith. 2011. Multivariate data analysis appliedto spectroscopy: Potential application to juice and fruit quality. Food Research International, 44, 1888-1896.

Firdaus, J. Rokhani, H. Usman, A, dan M. Rahmad, S. 2014. Deteksi Cepat Viabilitas Benih Padi Menggunakan Gelombang Near Infrared dan Model Jaringan Saraf Tiruan. Jurnal Departemen Teknik Mesin dan Biositem IPB. Vol. 1. Hal 77.

Florez, K., M.T. Sanchez, D. Perez-Marin, J.E.Guerrero, A.G . Varo. 2009. Feasibility in NIRS Instrument for Predicting Internal Quality in Intact Tomato. Jurnal Food Engineering. 91:311-318.

Jha, S. N., A. R. P. Kinsly, S. Chopra. 2006. Non-Destruktif Determination of Firmness and Yellowness of Mango During Growth and Storage Using Visual Spectroscopy. Jurnal Biosystem Engineering. 94:397-402.

Mouazen A. M., W. Saeys, J. Xing, J.D. Baerdemaeker, H. Ramon. 2010. Near infrared spectroscopy for agricultural materials: an instrument comparison. J Near InfraredSpectrosc. 13: 87-97.

Nicolai, B. M., K. Beullens, E. Bobelyn, A. Peirs, W. Saeys, K. I. Theron, J. Lamertyn. 2007. Nondestructive Measurement of Fruit and Vegetable Quality by Means of NIR Spectroscopy : A Review. Postharvest Biology and Technology. 46: 99-118.

Ulva, C. M., Zulfahrizal, A.A. Munawar. 2016. Prediksi Kadar Air Biji Kakao Menggunakan NIRS Dengan Metode PLS (Dengan Pretreatment Derivative ke-1 dan Mean Centering. Jurnal Ilmiah Mahasiswa Pertanian Unsyiah. 1(1):1037-1045.

Zulfahrizal., Sutrisno, I. W. Budiastra, K. B. Seminar, A. A. Munawar. 2013. Akuisis Spektrum Near Infrared Reflectance Pada Biji Kakao. Buletin Riset Tanaman Rempah dan AnekaTanaman Industri. 4(1):1-9.

Zulfahrizal., A.A. Munawar dan H. Meilina.2016. Estimasi Kandungan Lemak Pada Biji Kakao Utuh Secara Cepat dan Non-Destruktif dengan Menggunakan Teknologi NIRS. Jurnal Otomasi, Kontrol dan Instrumentasi. Vol. 8(1). Hal 17.

Zulfahrizal., A.A. Munawar, dan H. Meilina. 2017. Rancang Bangun Alat Sensor Portable Berbasis Pengembangan Aplikasi Teknologi Near Infrared Sebagai Metode Baru yang Rapid dan Non-Destructive untuk Prediksi Kualitas Kakao. Prosiding Seminar Nasional Pasca Sarjana (SNP) Universitas Syiah Kuala di Banda Aceh 13 April 2017. 32-37.


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E-ISSN: 2614-6053 2615-2878 Statistic Indexing | Citation


Alamat Tim Redaksi:
Fakultas Pertanian,Universitas Syiah Kuala
Jl. Tgk. Hasan Krueng Kalee No. 3, Kopelma Darussalam,
Banda Aceh, 23111, Indonesia.
Email:jimfp@unsyiah.ac.id