CD Tesis
Klasifikasi Tingkat Kematangan Buah Kelapa Sawit Menggunakan Metode Spectroscopy Fluorescence Berbasis Laser Modulasi Dan Fotodioda
The level of oil palm maturity is an important factor in determining the quality of Cruide Palm Oil (CPO). If the fruit is harvested too raw or too ripe it will affect the quality of the CPO. Good CPO quality is determined from the content of free fatty acid, which is less than 5 %. The sorting and grading process is generally done traditionally and manually. This method is subjective and slow. Non-destructive, electronic and automatical methods are needed.
This study aims to classify the ripeness level of oil palm fruit using the Fluorescence Spectroscopy method. In this study the optical method of fluorescence spectroscopy with laser diode modulation was used to evaluate the maturity level of oil palm FFB. Optical fluorescence spectroscopic systems consist of laser diodes 640 nm 20 mW which can be modulated by CW, 1 KHz and 10 KHz with two FDS 100 photodiodes as light detectors and multiboard circuits as photodiode amplifiers. Sample used were 23 FFBs of Tenera varieties. The levels of ripeness is traditionally determined FFB levels used are F0, F1, F2, F3 and F4. Each FFB is irradiated in three parts of the base, three in the middle and three in the bottom. The output voltage of each modulation laser is measured by a multimeter, then their firmness levels were obtained using a penetrometer and averaged to represent the FFB firmness level and oil yield test with Soxhlet.
The results showed that the more maturity the fruit the higher the voltage depends on changes in fruit color, while for the fruit hardness test the raw condition has the highest hardness because the fruit structure is still so thick that the oil content is small. More yield of oil produced is in the condition of ripe fruit. Modulation frequency compared between CW, 1 KHz and 10 KHz. CW produces the highest voltage while the 10 KHz frequency has a sensitivity to the level of ripeness. K-means clustering results indicate that the overall maturity level is grouped based on the value of hardness with the stress of each sample divided into 4 levels of maturity, namely F0, F1, F2 and F3.
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