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PREDIKSI HASIL PANEN KELAPA SAWIT MENGGUNAKAN FUZZY SUGENO KANG
Palm oil plantation plantations in South Sumatra according to Central Vertical Service (BPS, 2021) data decreased by 3,062 tonnes by 2021, down from 2018. Yield is influenced by several factors, such as: environmental influences, culture medium, quality, severe technical culture violations (Yanto et al., 2019). This study aims to make it easier to prepare for the optimization of total oil yield based on the prediction using Fuzzy Kang. Sugeno Kang's Fuzzy concept has advantages over the other three Fuzzy models, including being able to integrate with Neural Networks, lowering or other optimization techniques (Kamboj and Amrit, 2013). Based on predictable test results using MAPE with yield and fertilization from January to December 2018, the MAPE yield was 85.83% and the error rate was 14.17%. Keywords: Fuzzy Sugeno Kang, MAPE, Palm Oil Yield Prediction.
Inventory Code | Barcode | Call Number | Location | Status |
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2307001710 | T91310 | T913102023 | Central Library (Referens) | Available but not for loan - Not for Loan |
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