Pembuatan Sistem Pendukung Keputusan Komoditas Strategis Menggunakan Metode Fuzzy Unordered Rule Induction Algorithm (FURIA) untuk Mendukung Stabilitas Harga Pangan di Indonesia

Muhammady, Fauzul Rijal (2018) Pembuatan Sistem Pendukung Keputusan Komoditas Strategis Menggunakan Metode Fuzzy Unordered Rule Induction Algorithm (FURIA) untuk Mendukung Stabilitas Harga Pangan di Indonesia. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Beras merupakan komoditas stratesis yang menjadi fokus utama pemerintah dalam mencapai swasembada pangan. Konsumsi beras di Indonesia sendiri rata - rata 98.57 kg/kap/thn dari tahun 2010 – 2014. Harga beras sendiri di Indonesia mengalami kenaikan ditiap tahunnya, akan tetapi kenaikannya masih dalam target pemerintah dan tidak terlalu tinggi, yakni sekitar 1.92% di tiap tahunnya. Dalam proses menjaga harga pangan pokok masyarakat Indonesia ini, pemerintah perlu memberlakukan beberapa kebijakan agar harga beras di pasar tetap stabil. Pembuatanan kebijakan terkait komoditas beras ini dipengaruhi oleh beberapa faktor, antara lain luas tanam, hasil produksi, harga, dan lain sebagainya. Idealnya dalam perumusan kebijakan tersebut dibuatkan sebuah sistem pendukung keputusan yang membantu dalam perumusan kebijakan. Metode yang digunakan dalam penelitan ini yaitu berbasis Fuzzy Unordered Rule Induction Algorithm (FURIA). Tugas akhir ini akan menghasilkan sebuah sistem pendukung keputusan berbasis website dengan metode FURIA yang nantinya dapat digunakan oleh instansi terkait dalam perumusan kebijakan komoditas beras. Hasil evaluasi model terbaik yang didapatkan dari proses 10-fold cross-validation yang dilakukan menghasilkan model dengan akurasi 98.70%, error 1.30%, presisi 0.987, dan recall 0.987. Hasil model tersebut nantinya akan diterapkan dalam sistem pendukung keputusan berbasis web.============== Rice is a commodity strategic that becomes the main focus of government in achieving self-sufficiency in food. Indonesia’s rice consumption is 98.57 kg/ cap/ year from 2010 to 2014. The price of rice in Indonesia has increased every year, but the increase is still in government target and not too high, which is about 1.92% in each year. In the process of preserving the staple food prices of the Indonesian people, the government needs to enact some policies to keep rice prices in the market stable. Policy making related to rice commodities is influenced by several factors, including planting area, production, price, and so forth. Ideally in the formulation of the policy, a decision support system will be made available to assist in policy formulation. The method used in this research is based on Fuzzy Unordered Rule Induction Algorithm (FURIA). This final project will produce a website based decision support system with FURIA method which later can be used by related institution in rice commodity policy formulation. The best model evaluation results obtained from the 10-fold cross-validation process performed yielded a model with an accuracy of 98.70%, error 1.30%, precision 0.987, and recall 0.987. The results of the model will be applied in web-based decision support system.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Komoditas Strategis, Beras, Sistem Pendukung Keputusan, Fuzzy Unordered Rule Induction Algorithm, Strategic Commodities, Rice, Decision Support System, Fuzzy Unordered Rule Induction Algorithm, food prices, Policy making
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD108 Classification (Theory. Method. Relation to other subjects )
H Social Sciences > HF Commerce > HF5658.5 Price fluctuations
Q Science > QA Mathematics > QA9.64 Fuzzy logic
T Technology > T Technology (General) > T58.62 Decision support systems
Divisions: Faculty of Information Technology > Information System > (S1) Undergraduate Theses
Depositing User: Fauzul Rijal Muhammady
Date Deposited: 12 Sep 2018 04:24
Last Modified: 12 Sep 2018 04:24
URI: http://repository.its.ac.id/id/eprint/52600

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