Sistem Pendukung Keputusan dalam Menentukan Kualitas Lateks pada Tanaman Karet Menggunakan Matlab dengan Metode Fuzzy Mamdani (Studi Kasus PT. Gergas Utama Kecamatan Wampu Kabupaten Langkat)
DOI:
https://doi.org/10.54367/means.v5i2.1004Keywords:
Sistem Pendukung keputusan, Fuzzy Mamdani, Tanaman Karet, MatlabAbstract
Rubber plant is one of plants that produces latex which can be used as materials production of vehicle tools, health equipment, mat and other kinds of equipment. In PT Gergas Utama, Wampu Sub-district, District of Langkat, a good and proper quality of ruber plants are still determined by applying conventional method of Meter Lock usage. The criteria to produce International standard Latex are the age of rubber plants, winding width, and climate or weather. In the research, the Mamdani Fuzzy method was applied as the Decision Support System in order to determine the best quality of latex which can optimize the time and can overcome failures in determining latex quality. Fuzzy variables used in the research are the age of rubber plants, winding width, and climate or weather. The Fuzzy set used in each variable are is young (0-6), medium (3-12), old (9-15), small ( 0-0.8 ), medium (0.4-1.6 ), big (1.2 -2 ), rain ( 0-20 ), transition ( 15-30 ), dry (25-35). Fuzzy Mamdani method consists of Fuzzification, Rule Formation, Inference Engine, Defuzzification and Matlab ProgrammingReferences
Pernando Harianja, dkk (2018), Sistem pendukung keputusan penentuan kualitas karet menggunakan metode Fuzzy mamdani (Studi kasus: PTPN III Medan)
Mohammad Yazdi, Gunawan Feri Handono (2013) , Jurusan Matematika Fakultas MIPA Universitas Tadulako Kampus Bumi Tadulako Tando dengan judul “Sistem Fakar Fuzzy Penentuan Kualitas Kakao.
T. Limbong and J. Simarmata, “Menentukan Matakuliah yang Efektif Belajar Daring (Belajar dan Ujian) dengan Metode Multi-Attribute Utility Theory (MAUT),†J. Resti, vol. 4, no. 2, pp. 370–376, 2020.
Saleh, Alfa. (2015). Implementasi Fuzzy Mmamdani dalam Sistem Pendukung Keputusan Menentukan Kesesuaian Bidang Peminatan Mahasiswa ((Studi Kasus: Universitas Potensi Utama). SEMNASTEKNOMEDIA ONLINE, 3(1), 2-2
Herlan sutisna dkk (2015) Siaten pendukung keputusan pemilihan pekerjaan menggunakan metode Fuzzy mamdani (studi kasus: AMIK BSI TASIKMALAY).
Surbakti Asprina dkk (2020), “Sistem Aplikasi Logika Fuzzy Untuk Penentuan Optimasi Ragi Tempe pada Proses Fermentasi Tempe Kedelai Menggunakan Metode Fuzzy Mamdaniâ€. Jurnal Ilmiah Simantek,Jilid 4,hal 146-160.
Cahyono (2010) Cara sukses berkebun karet pustaka mina. Jakarta
Ginting Meiliyani dkk (2020), “Aplikasi Metode Fuzzy Tsukamoto Dalam Sistem Pendukung Keputusan Untuk Menentukan Jumlah Persediaan Beras Pada Perum Bulog Divre Sumutâ€. Jurnal Ilmiah Simantek, Jilid 4
Agung Setiawan dkk, (2018) Logika fuzzy dengan Matlab, Penerbit Jayapangus Press
Yusli Yenni dkk (2017), Logika Fuzzy menentukan jumlah produksi jumlah berdasarkan persediaan dan jumlah permintaan.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 MEANS (Media Informasi Analisa dan Sistem)
This work is licensed under a Creative Commons Attribution 4.0 International License.