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All Journal Journal of Applied Agricultural Science and Technology Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Teknologi Pertanian Andalas Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalasian International Journal of Agricultural and Natural Sciences Journal of Applied Agricultural Science and Technology Jurnal Al Karim : Jurnal Pendidikan, Psikologi dan Studi Islam Andalasian International Journal of Social and Entrepreneurial Development Rona Teknik Pertanian
Muhammad Makky
Universitas Andalas
Religion Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Journal : Eksakta : Berkala Ilmiah Bidang MIPA

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Non-Destructive Evaluation Quality of Oil Palm Fresh Fruit Bunch (FFB) (Elaeis guineensis Jacq.) Using Thermal Imaging in the Grading Process Sirtin, Ardillah Anggraini; Makky, Muhammad; Santosa, Santosa; Cherie, Dinah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 03 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss03/611

Abstract

Determining the quality of oil palm Fresh Fruit Bunches (FFB) quickly and accurately is very important in the grading process to ensure the quality of production results and the efficiency of the post-harvest process. This study aims to evaluate the quality of oil palm FFB non-destructive using thermal image technology, focusing on two main parameters: moisture content and oil content. The oil palm FFB used was the Tenera variety. Thermal characteristic data were obtained from the RGB pseudo color thermal images and the oil palm FFB temperature. The model obtained using Artificial Neural Network (ANN) showed that the calibration model for moisture content produced a linear regression equation y = 0.9826x + 0.7159 (R² = 0.9827), and for oil content y = 0.9962x + 0.0289 (R² = 0.9973). At the validation stage, the moisture content prediction model gave y = 0.9056x + 10.721 (R² = 0.8908), and oil content y = 0.7683x + 1.6494 (R² = 0.8567). These results indicated that thermal imaging technology has great potential as an efficient and accurate non-destructive method in evaluating the quality of oil palm FFB, especially in supporting a more objective and sustainable grading system.  
Co-Authors - Andasuryani Alfian Zein Ardi Ardi Astri Harnov Putri Azrifirwan, Azrifirwan Berri Brilliant Albar Cherie Dinah, Cherie Daimon Syukri Dina, Mivtahul Eka Candra Lina Fithra Herdian Fitri Yuwita Guspa, Monica Halwa, Haniyatul Haniyatul Halwa Hendra Hendra Heri, Deden Ifmalinda Indra Dwipa Jamaluddin Jamaluddin Khandra Fahmi Khandra Fahmy Leo Saputra Napitu Lubis, Mei Mardhiani Mivtahul Dina Mohamad Erihadiana, Mohamad Monica Guspa NOVRI NELLY PERDANA PUTERA Prima Fithri Putri, Irriwad Rahmi, Suaidah Renny Eka Putri, Renny Eka Rini Rini Rini Rini RINI RINI Rusnam Rusnam Santosa Santosa Santosa Santosa Sinambela, Juli Arifiansyah Sirtin, Ardillah Anggraini Sri Aulia Novita Suaidah Rahmi Surya, Ridho Adi Turnando, Ardi Vonny Indah Mutiara Yulianti Zakiah, Qiqi