Implementasi Fuzzy Tsukamoto Dalam Menentukan Harga Gabah Pada Petani

Josua Fernando Simanjuntak(1*), Agnes Prawita Sari(2), Aulia Nada Syahputri(3),

(1) Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar – Indonesia
(2) Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar – Indonesia
(3) Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar – Indonesia
(*) Corresponding Author

Abstract


In human life, many things require decision making, including in agriculture. One of them is rice farmers who make the decision to determine the selling price of their grain according to the quality of their grain. By using Fuzzy logic, the grain price can be determined by going through the following stages: Fuzzification, Knowledge Base Formation, Fuzzy Inference, and Defuzzification. One of the Fuzzy logic methods that can be used is the Tsukamoto method, where this method has an output in the form of firm values. To be able to determine the price of grain, the data is taken from the Central Statistics Agency website, so that later prices and levels of grain quality can be determined properly. With this research, the farmers can determine the price of their grain exactly according to the quality of the grain. So that the problem of determining their grain prices can be overcome properly.

Full Text:

PDF

References


M. Ula, “Implementasi Logika Fuzzy Dalam Optimasi Jumlah Pengadaan Barang Menggunakan Metode Tsukamoto (Studi Kasus : Toko Kain My Text),” Jurnal ECOTIPE, vol. 1, no. 2, pp. 36-46, 2014.

M. Arizal, N. Dengen dan Islamiyah, “Aplikasi Logika Fuzzy Dalam Optimisasi Stok Bahan Menggunakan Metode Tsukamoto,” Prosiding Seminar Ilmu Komputer dan Teknologi Informasi, pp. 86-90, 2017.

D. Mahendra, “Implementasi Fuzzy Inference System Tsukamoto Untuk Penentuan Topik Tugas Ahir,” Jurnal SIMETRIS, vol. 7, no. 1, pp. 337-344, 2016.

Badan Pusat Statistik Indonesia, “Badan Pusat Statistik,” 5 Februari 2018. [Online]. Available: https://www.bps.go.id/dynamictable/2018/02/05/1284/rata-rata-harga-gabah-bulanan-menurut-kualitas-komponen-mutu-dan-hpp-di-tingkat-petani-di-indonesia-2008-2020.html. [Diakses 16 Juni 2020].

Sugumonrong, D. P., Handinata, A., & Tehja, A. (2019). Prediksi Harga Emas Menggunakan Metode Fuzzy Time Series Model Algoritma Chen. Informatics Engineering Research And Technology Volume 1 NO.1, 48-54.




DOI: https://doi.org/10.30645/brahmana.v1i2.28

DOI (PDF): https://doi.org/10.30645/brahmana.v1i2.28.g28

Refbacks

  • There are currently no refbacks.


Published Papers Indexed/Abstracted By: