Fuzzy Logic Applications to Predict Total Production of PKO (Palm Kernel Oil)

Abstract

The purpose of this study is to apply fuzzy logic to predict the amount of Palm Kernel Oil (PKO) production at PT. Web-based AAI. This study uses the Tsukamoto method to anticipate the instability of palm oil production based on the existing demand and supply. The results showed that with the implementation of the fuzzy logic, the Tsukamoto method can affect the rate of more stable production and reduce the production of which is not in accordance with the market demand. The conclusion of this study is to apply the result of the predicted number of production PKO (Palm Kernel Oil) at PT AAI, in order to know the budget supply and demand thereafter.

Penerapan Algoritma Apriori dan Fuzzy Tsukamoto untuk Rekomendasi Jumlah Pembelian Barang dan Promo pada Toko Serba Ada

“…Hasil penelitian menggunakan Fuzzy Tsukamoto memiliki hasil yang lebih baik dan efisien dalam memprediksi jumlah persediaan barang di toko ritel [8]. Metode ini sudah diterapkan dalam berbagai penelitian sebelumnya, digunakan untuk meramalkan permintaan distribusi trafo pada perusahaan rekayasa tenaga di Bangladesh [22], menentukan jumlah produksi kain tenun [7], penentuan jumlah produksi beras pada kilang padi [23], dan prediksi jumlah produksi minyak inti sawit [24].…”