Analyze the Clustering and Predicting Results of Palm Oil Production in Aceh Utara
| Autor: | Ula, mutammimul, Perdinanta, Gita, Hidayat, Rahmad, sahputra, ilham |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 17, No 2 (2023): April |
| ISSN: | 1978-1520 2460-7258 |
| Popis: | PT. Perkebunan Nusantara 1 is a company that works in palm oil mills with a total land area of 1,144 Ha in Aceh Utara. This research aimed to determine the cluster of the productive palm oil production's target. The expected results of palm oil production are for the following year so that it can be used as a recommendation for the managers to maximize performance. Research data are taken from PTPTN 1 PKS Cot Girek consisting of plantation and oil palm production data. The results of PKS Cot Girek palm oil production data for 2019-2022 from January to December were 1,365,530, while in 2022, it reached 1,768,720. The overall value obtained is 4,431,180 production data. The results of a land area of 1,144 Ha got 800.4 Ha of productive land and 343.6 Ha of less effective land. The test result in the first iteration of the C-Means process is 1.87, the second iteration is 3.87, the first iteration of the K-Means is 2.27, and the seventh iteration is 4.165 with an accuracy of 0.46 and 0.295. Meanwhile, the prediction model results have an accuracy rate of 90.77%. As a comparison, the fuzzy time series' accuracy level is 81.27%. |
| Databáze: | OpenAIRE |
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