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The traditional method of palm oil fruit ripeness grading requires manual human observation imposing time consumption. This paper describes the work to determine best frequency gritted for capacitive ripeness grading. To find the ripeness, the frequency response of ripe and unripe fruitlet in between capacitive plates is evaluated. Parallel plate that is connected to resistor in series is used as the sensor. The function generator is used to give a sinusoidal wave frequency or known as Vin that gives input from 20 kHz to 300 kHz and the oscilloscope is used to obtain the output reading which is the difference in value of the Vpp. From the result, it is observed that there is difference between ripe and unripe fruitlet also the frequency of 100 kHz and below shows that the reading can be differentiate between fruitlet. After the frequency past the 100 kHz the reading is hard to differentiate before at one point the graph will become static even the weight of each fruitlet is difference.

Test Frequency Optimization Using Single Factor ANOVA for Capacitive Oil Palm Fruit Ripeness Sensor