ANALISIS LOGIKA FUZZY MAMDANI DALAM OPTIMISASI HARGA JUAL JAGUNG

Debora Exaudi Sirait, Binsar Tison Gultom

Abstract


At this time the type of crop that is most often planted is corn because it is a plant that is easier to grow than other secondary crops and the cost is also relatively less and the process is not complicated. The profit from the harvest depends on the selling price and the capital used. So that there is uncertainty in determining the profits of the farmer. Given the uncertainty, it is necessary to optimize the selling price. To optimize the selling price, fuzzy logic can be used. Fuzzy Mamdani is a method that is very flexible and has tolerance for existing data or is usually referred to as secondary data. The data obtained is data collected from Uluan District which is known by the local government in Uluan District. Where the data is data from the community in each village starting for 12 periods of planting corn. By using the Mamdani method, the optimum selling price in the first period of 2012 was Rp. 2,644,-.

Keywords


Fuzzy Set, Production, Price Optimization

References


Batubara, S. (2017). Analisis Perbandingan Metode Fuzzy Mamdani dan Fuzzy Sugeno untuk penentuan kualitas cor beton instan. IT Journal Research and Development, 2(1).

Maryaningsih., Hayadi, B.H., & Suryana, E. (2013). Implementasi Logika Fuzzy dalam Perancangan Sistem Pengambilan Keputusan Usulan Pemasangan Listrik Berdasarkan Distribusi Beban Listrik. Jurnal Media Infotama, 09(2): 145-162. https://doi.org/10.37676/jmi.v9i2.67

Samosir, R., Iryanto., & Siregar, R. (2013). Perbandingan Produksi Kopi Optimum antara Metode Fuzzy-Mamdani dengan Fuzzy-Sugeno pada PT.XYZ. Saintia Matematik, 01(6): 517-527.

Setiadji. (2009). Himpunan Kabur dan Logika Samar serta Aplikasinya. Yogyakarta: Graha Ilmu.

Sihotang, S., & Napitupulu, R.D. (2017). Fuzzy logic untuk menentukan penjualan rumah dengan metode Mamdani: Studi Kasus di PT. Gracia Herald. Journal Information System Development, 2(2).

Susilo, F. (2006). Himpunan dan Logika Kabur serta Aplikasinya. Yogyakarta: Graha Ilmu.

Thamrin, F. (2012). Studi Inferensi Fuzzy Tsukamoto untuk Penentuan Faktor Pembebanan Trafo PLN. (Tesis: tidak diterbitkan). Semarang: Universitas Diponegoro.

Widiyantoro, A., Sutojo, T., & Sudaryanto. (2013). Menerapkan Logika Fuzzy Mamdani Untuk Menentukan Harga Jual Batik. Techno.com: Jurnal Teknologi Informasi, 13(2): 69–74.

Yamin, A. (2012). Analisis Pemberian Kredit Mobil dengan Pendekatan Metode Fuzzy-Mamdani: Studi Kasus di PT. Astra Credit Companies Cabang Daihatsu Cibubur. (Skripsi: tidak diterbitkan). Depok: Universitas Gunadarma.




DOI: https://doi.org/10.30743/mes.v7i2.5245

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