PREDIKSI JUMLAH TANDAN BUAH SEGAR (TBS) KELAPA SAWIT PADA PT PERKEBUNAN MITRA OGAN

PUTRI, RANTY DWI and Tania, Ken Ditha (2022) PREDIKSI JUMLAH TANDAN BUAH SEGAR (TBS) KELAPA SAWIT PADA PT PERKEBUNAN MITRA OGAN. Undergraduate thesis, SRIWIJAYA UNIVERSITY.

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Abstract

One of the companies engaged in managing palm oil into crude palm oil is PT Perkebunan Mitra Ogan. Fresh fruit bunches play an important role in making crude palm oil, if the crude palm oil production does not meet the target, the company will suffer losses, therefore to meet the demand for the crude palm oil market, the company must carry out FFB forecasting which will be used as a reference so that the production output in crude palm oil remains stable or increases. Forecasting results can later be used as information to increase FFB production yields. This study used FFB production data for 2010-2019, using the artificial neural network method – backpropagation. From the results of the trial and error, training and testing have been carried out as many as 96 architectural parameters with a combination of A and combination B. The most optimal JST architecture is 12-3-1, the logsig – purelin activation function and the traingdm training function.The mse value obtained on the training architecture is 0.041087, the mse value on the test architecture is 0.034534 and has a test accuracy rate of 75%. It is known that the production of FFB in the following year or 2022 in January – March is (22595.23436.23854) tons. Keywords: Prediction, Fresh Fruit Bunches, Artificial Neural Networks, Backpropagation.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Prediksi, Tandan Buah Segar, Jaringan Saraf Tiruan, Backpropagation
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Ranty Dwi Putri
Date Deposited:	12 Aug 2022 02:27
Last Modified:	12 Aug 2022 02:27
URI:	http://repository.unsri.ac.id/id/eprint/77094

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