Model Development of Non-Destructive Coffee Beans Moisture Content Determination Using Modified Near Infrared Spectroscopy Instrument
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Dec 27, 2021
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Rizky Wiradinata
ICCRI
I Wayan Budiastra
Faculty of Agricultural Technology, IPB University, Kampus IPB Dramaga, Bogor, Indonesia
Slamet Widodo
Faculty of Agricultural Technology, IPB University, Kampus IPB Dramaga, Bogor, Indonesia
Abstract
A method of non-destructively moisture content measurement of coffee beans is using near infrared spectroscopy (NIRS) which in general can be applied to determine chemical content of various organic materials. However, the commercial NIR instrument can not measure many samples in a single time, consequently the faster measurement can not be realized. The purposes of this research was to study the performance of modified NIR instrument prototype for measuring the moisture content of Java Preanger coffee beans. Performance study of modified NIR instrument was carried out on 50 coffee bean samples for determination of sample moisture content. The reflectance spectra of samples were measured bymodified NIRS instrument and then water content of samples was determined by oven method. The spectra data and water content were calibrated by multiple linier regression method to find the best calibration model. The result of this research show that number of wavelengths chosen to predict the moisture contentof Java Preanger coffee bean accurately is 17 wavelengths. The correlation coefficient (R) moisture content based on NIRS instrument and oven method was 0.902, this suggest that the model is able to explain 90.2% the diversity of existing data. The value of standard error calibration (SEC) and standard error prediction (SEP)was almost zero meaning that the error of prediction is low. This study also reveal that the value of residual predictive deviation (RPD) is 2.32, which means the prediction model for determination of Java Preanger coffee beans moisture content is good enough.
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Wiradinata, R., Budiastra, I. W., & Widodo, S. (2021). Model Development of Non-Destructive Coffee Beans Moisture Content Determination Using Modified Near Infrared Spectroscopy Instrument. Pelita Perkebunan (a Coffee and Cocoa Research Journal), 37(3), 229-238. https://doi.org/10.22302/iccri.jur.pelitaperkebunan.v37i3.462
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References
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Bertrand, D.; P. Robert & W. Loisel (1985). Identification of Some Wheat Varieties by Near Infrared Reflectance Spectroscopy. Jounal of the Science of Food and Agriculture, 36, 1120 – 1124.
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Novita, E.; R. Syarif; E. Noor; S. Mulato (2010). Peningkatan Mutu Biji Kopi Rakyat dengan Pengolahan Semi Basah Berbasis Produksi Benih. Jurnal Agroteknologi, 4, 76 - 90.
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Sari, M.; I. S. Nasution & Zulfahrizal (2019). Prediksi Kadar Air Gabah Menggunakan Near Infrsred Reflectance Spectroscopy dengan Metode Principal Component Regression (Pretreatment MSC, Second Derivative dan De-Trending). Jurnal Ilmiah Mahasiswa Pertanian, 4, 568 – 577.
Sivetz, M. & N.M. Desrosier. (1979). Coffee Technology. AVI Publ.Co. Westport, USA.
Ulva, C.M.; Zulfahrizal; A.A. Munawar (2016). Prediksi Kadar Air Bubuk Biji Kakao Menggunakan NIRS Dengan Metode PLS. Jurnal Ilmiah Mahasiswa Pertanian Unsyiah, 1, 1037 – 1045.
Wiradinata, R.; I.W. Budiastra & S. Widodo (2019). Modifikasi Instrumen NIR untuk penentuan Kandungan Bahan Organik Secara Cepat dan Non destruktif. Jurnal Keteknikan Pertanian, 7, 49 – 56.
Zhang, X.; W. Li; B. Yin; W. Chen; D.P. Kelly; X. Wang; K. Zheng & Y. Du (2013). Improvement of near infrared spectroscopy (NIRS) analysis of caffeine in roasted Arabica coffee by variable selection method of stability competitive adaptive reweighted sampling (SCARS). Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 114, 350 – 356.
Athfiyah, S.N. (2017). Penentuan Kandungan Kimia Utama Biji Kopi Arabika Bondowoso Secara Non destruktif Dengan Near Infrared Spectroscopy. Bogor, Indonesia: IPB University, U-thesis.
Ayu, P.C. (2017). Pengembangan Model Penentuan Kandungan Kimia Utama Pembentuk Flavor Biji Kopi Java Preanger Menggunakan FT NIR. Bogor, Indonesia: IPB University, Thesis.
Bertrand, D.; P. Robert & W. Loisel (1985). Identification of Some Wheat Varieties by Near Infrared Reflectance Spectroscopy. Jounal of the Science of Food and Agriculture, 36, 1120 – 1124.
Buchi (2013). Nircal 5.5 manual. Buchi Labortechnik. Switzerland.
Budiastra, I.W.; Y. Ikeda & T. Nishizu (1998). Optical methods for quality evaluation of fruit (Part 1) Prediction of Individual Sugars and Malic Acid Concentrations of Apple and Mangoes by Developed NIR Reflectance System. Journal of the Japanese Society of Agricultural Machinery, 60, 117-127.
Kunlestiowati, H.; N. Yuningsih & W. Martono (2016). Penentuan Sudut Deviasi Minimum Prisma Melalui Peristiwa Pembiasan Cahaya Berbantuan Komputer. SIGMA-Mu, 8, 1 - 6.
Kurniasari, I. (2017). Prediksi Kandungan Kimia Buah Kesemek (Diospyros kako L.) dengan Spektroskopi NIR. Bogor, Indonesia: IPB University, U-thesis.
Lengkey, L.C.E.CH.; I.W. Budiastra; K.B. Seminar & B.S. Purwoko (2013). Model Pendugaan Kandungan Air, lemak dan Asam Lemak Bebas pada Tiga Provenan Biji Jarak Pagar (Jatropha curcas L.) Menggunakan Spektroskopi Inframerah Dekat Dengan Metode Partial Least Square (PLS). Jurnal Littri, 19, 203-211.
Livingston, R.A. (2001). Nondestructive Testing of Historic Structures. Archives and Museum
Informatics, 13, 249 – 271.
Madi, S.C.Y. (2018). Analisis Variasi Jumlah Tumpukan Biji Terhadap Akurasi Prediksi Kandungan Minor Kopi Arabika Dengan NIR Spectroscopy. Bogor, Indonesia: IPB University, Thesis.
Mardison (2010). Penentuan komposisi kimia biji jarak pagar secara non destruktif dengan metode NIR dan jaringan saraf tiruan. Bogor, Indonesia: IPB University, Thesis.
Mouazen, A.M.; W. Saeys; J. Xing; J. DeBaerdemaeker & H. Ramon (2005). Near infrared spectroscopy for agricultural materials: an instrument comparison. Journal of Near Infrared Spectroscopy, 13, 87-97.
Murray, I. & P.C. Williams. (1990). Chemical Prinsiple of Near-Infrared Technology.
In: P. Williams & K.Norris (Eds). Near-Infrared Technology in theAgricultural and Food Industries 2nd Edition. American Association of Cereal Chemists. Minnesota.
Novita, E.; R. Syarif; E. Noor; S. Mulato (2010). Peningkatan Mutu Biji Kopi Rakyat dengan Pengolahan Semi Basah Berbasis Produksi Benih. Jurnal Agroteknologi, 4, 76 - 90.
Nurhasanah.; K. Siregar & Zulfahrizal (2019). Prediksi Kadar Air Beras Menggunakan NIRS dengan Metode PLS dan Pretreatment Standard Normal Variate, Derivative I, Savitzky Golay Smoothing. Jurnal Ilmiah Mahasiswa Pertanian, 4, 628 – 637.
Sari, M.; I. S. Nasution & Zulfahrizal (2019). Prediksi Kadar Air Gabah Menggunakan Near Infrsred Reflectance Spectroscopy dengan Metode Principal Component Regression (Pretreatment MSC, Second Derivative dan De-Trending). Jurnal Ilmiah Mahasiswa Pertanian, 4, 568 – 577.
Sivetz, M. & N.M. Desrosier. (1979). Coffee Technology. AVI Publ.Co. Westport, USA.
Ulva, C.M.; Zulfahrizal; A.A. Munawar (2016). Prediksi Kadar Air Bubuk Biji Kakao Menggunakan NIRS Dengan Metode PLS. Jurnal Ilmiah Mahasiswa Pertanian Unsyiah, 1, 1037 – 1045.
Wiradinata, R.; I.W. Budiastra & S. Widodo (2019). Modifikasi Instrumen NIR untuk penentuan Kandungan Bahan Organik Secara Cepat dan Non destruktif. Jurnal Keteknikan Pertanian, 7, 49 – 56.
Zhang, X.; W. Li; B. Yin; W. Chen; D.P. Kelly; X. Wang; K. Zheng & Y. Du (2013). Improvement of near infrared spectroscopy (NIRS) analysis of caffeine in roasted Arabica coffee by variable selection method of stability competitive adaptive reweighted sampling (SCARS). Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 114, 350 – 356.