Non-Destructive Evaluation of Oil and Free Fatty Acid Content of Oil Palm Fresh Fruit Bunch Based on Thermal Properties Using Partial Least Square (PLS)
DOI:
https://doi.org/10.23960/jtep-l.v13i3.772-781Abstract
Indonesia is the largest producer of palm oil in the world, contributing 59 % of global production in 2022. The palm oil industry is a pillar of the economy and a source of foreign exchange through agricultural exports. To increase productivity and global competitiveness, strategies are needed, including improving cultivation technology and determining optimum harvest times through the application of appropriate cultivation technology. This research aims to increase oil palm productivity by focusing on the harvest time of Fresh Fruit Bunches (FFB). The sample used was Tenera variety palm FFB with two levels of ripeness, namely 140-160 DAP and 200-220 HSP. Non-destructive technology can accurately measure the optimum ripeness level of FFB. This approach uses thermal camera technology for nondestructive evaluation, recording the intensity of infrared radiation from TBS. All measurement parameters resulting from thermal image processing (RGB, L*a*b and temperature) will be used as input variable data to be modeled with oil content free fatty acid data in the laboratory. The model design will be built using the Principal Component Analysis (PCA) and Partial Least Square (PLS) methods. The results showed that the coefficient of determination (R2) for oil content was 0.8681 and free fatty acid content was 0.786.
Keywords: FFB, Nondestructive, Oil content, PLS, Thermal properties
References
AOCS (American Oil Chemists Society). (2004). Official Methods and Recommended Practices of the American Oil Chemists Society. Sampling and Analysis of Commercial Fats and Oil. American Oil Chemists Society, Urbana, IL, USA.
Buchi, L. (2013). NIRCal 5.5 Manual. Buchi Labortechnik AG, CH Flawil, Switzerland.
Cen, H., & He, Y. (2007). Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science and Technology, 18(2), 72–83. https://doi.org/10.1016/j.tifs.2006.09.003
Chin, W.W. (1998). The partial least squares approach to structural formula modeling. In: Marcoulides, G.A. (ed), Modern Methods for Business Research, Lawrence Erlbaum Associates, Mahwah, NJ: 295-336.
Cherie, D. (2015). Pengembangan Sistem Deteksi Kematangan Tandan Buah Segar (TBS) Sawit Berdasarkan Karakteristik Optik. [Doctoral Thesis]. Institut Pertanian Bogor: 61 pp.
Cherie, D., Fatmawati, N., & Makky, M. (2021). Non-destructive evaluation of oil palm fresh fruit bunch quality using thermal vision. IOP Conf. Series: Earth and Environmental Science, 644, 012024. https://doi.org/10.1088/1755-1315/644/1/012024
Deegalla, S., & Bostrom, H. (2007). Classification of microarrays with kNN: Comparison of dimensionality reduction methods. In: Yin, H., Tino, P., Corchado, E., Byrne, W., & Yao, X. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2007. Lecture Notes in Computer Science, vol. 4881, 800–809. https://doi.org/10.1007/978-3-540-77226-2_80
Fauziah, W.K. (2021). Evaluasi Non Destruktif Kualitas Tandan Buah Segar (TBS) Kelapa Sawit (Elaeis Guineensis Jack) Berdasarkan Sifat Termal. [Master Thesis]. Universitas Andalas, Padang: 87 pp.
Hasibuan, H.A., & Rivani, M. (2015). Penentuan rendemen crude palm oil (CPO) dan kernel dari buah sawit di kebun dan pabrik kelapa sawit. Warta PPKS, 20(3), 99-104.
Imam, P., Santosa, S., Berd, I., & Kasim, A. (2017). Penggunaan analisis regresi linear berganda untuk mendapatkan model prediksi respon asam lemak bebas dan DOBI hasil rebusan tandan buah segar sawit. Jurnal Teknologi dan Industri Pertanian Indonesia, 9(2), 55-66.
Malley, D.F., Martin, P.D., & Ben-Dor, E. (2004). Application in Analysis of Soils. In: Roberts, C.A., Workman Jr., J., & Reeves III, J.B. (eds), Nearâ€Infrared Spectroscopy in Agriculture. John Wiley, Hoboken, NJ. https://doi.org/10.2134/agronmonogr44.c26
Makky, M., Cherie, D. Mislaini, & Rini, B. (2018). Rekayasa Thermograding Untuk Peningkatan Kualitas Produksi Sawit Sumatera Barat Mendukung Ketahanan Pangan. [Research Report]. Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Andalas, Padang.
Makky, M., Santosa, S., Putri, R.E., & Nakano, K. (2019). Determination of moisture content in rice using non-destructive short-wave near infrared spectroscopy. AIP Conference Proceedings, 2155, 020014. https://doi.org/10.1063/1.5125518
Makky, M., & Soni, P. (2014). In situ quality assessment of intact oil palm fresh fruit bunches using rapid portable non-contact and non-destructive approach. Journal of Food Engineering, 120(2014), 248–259.
Muchtadi, D. (2009). Pengantar Ilmu Gizi. CV. Alfabeta, Bandung: 234 pp.
Muchtadi. R.T. (1992). Karakterisasi Komponen Intrinsic Utama Buah Sawit (Elaeis guineensis Jacq) dalam Rangka Optimumisasi Proses Ektraksi Minyak dan Pemanfaatan Provitamin A. [Master Thesis]. Institut Pertanian Bogor.
Nurfiqih, D., Hakim, L., Muhammad, M. (2021). Pengaruh suhu, persentase air, dan lama penyimpanan terhadap persentase kenaikan asam lemak bebas (ALB) pada crude palm oil (CPO). Jurnal Teknologi Kimia Unimal, 10(2), 1-14.
Pamungkas, A.P.S., Nafi’iyah, N., & Nawafilah, N.Q. (2019). K-NN klasifikasi kematangan buah mangga manalagi menggunakan L*A*B dan fitur statistik. Jurnal Ilmu Komputer dan Desain Komunikasi Visual, 4(1), 1-8.
Sujadi, S., Hasibuan, H.A., & Rivani, M. (2017). Karakterisasi minyak selama pematangan buah pada tanaman kelapa sawit (Elaeis guineensis Jacq) varietas D×P Simalungun. Jurnal Penelitian Kelapa Sawit, 25(2), 59-70.
Supriyadi, E. (2017). Perbandingan Metode Partial Least Square (PLS) dan Principal Component Regression (PCR) untuk Mengatasi Multikolinearitas pada Model Regresi Linear Berganda. UNNES Journal of Mathematics, 6(2), 117-128.
Yuwita, F. (2019). Uji Nondestruktif Kandungan Kafein, Protein, dan Lemak Biji Kopi Solok Radjo Menggunakan Near Infrared Spectroscopy (NIRS). [Master Thesis]. Faculty of Agricultural Technology, Universitas Andalas, Padang: 111 pp.
Walker, J. (2010). Primer on near infrared spectroscopy. In: Walker, J., and Tolleson, D (eds): Shining Light on Manure Improves Livestock and Land Management. Brown Printing, Missouri, USA.
Williams, P.C. (2001). Implementation of near-infrared technology. In: Williams, P., & Norris, K. (eds), Near-Infrared Technology in the Agricultural and Food Industries, 2nd Edition. American Association of Cereal Chemists, St. Paul.
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