Abstract
Rice (Oryza sativa) is a staple food source for the people of Indonesia. Most of the rice consumed is the result of national rice productivity. Often the government has difficulty in estimating the adequacy of basic food items that can be provided by domestic agriculture. Therefore a method is needed to predict rice yields accurately and precisely. The agricultural sector in East Nusa Tenggara is not a flagship of the community's economic activities. This is due to the geographical conditions of NTT which are less supportive for business activities in the agricultural sector. Even so, the prediction of agricultural products, especially rice yields, is needed to be predicted so that a forecast can be obtained in determining rice yields in 2017. Fuzzy logic method in this case Fuzzy Inference System (FIS) is widely applied for forecasting or prediction. Fuzzy logic has a slowness in predicting crop yields for the following year based on crop yields in the previous year and information taken from the fuzzy information provided. Fuzzyinformation can be made a rule or rule as a consideration in predicting yields. By using the formula of Mean Absolute Percentage Error (MAPE) or Average Absolute Error, from the Fuzzy Mamdani model The Fuzzy Inference System (FIS) with the Mamdani model that has been built can be used to estimate the amount of rice production in the City District in NTT with the truth value reaching 97.8%. To determine the amount of rice production in 2017, the data is processed by using the help of the Matlab 2012 fuzzy toolbox software using the centroid method for defuzzification.
Highlights
Indonesia adalah negara argraris tempat tumbuh jenis tanaman pangan.Dahulu indonesia pernah dikenal sebagai negara swasembada pangan.Tanaman pangan segala jenis tanaman yang daat menghasilkan karbohidrat dan protein
Most of the rice consumed is the result of national rice productivity
Often the government has difficulty in estimating the adequacy of basic food items that can be provided by domestic agriculture
Summary
Indonesia adalah negara argraris tempat tumbuh jenis tanaman pangan.Dahulu indonesia pernah dikenal sebagai negara swasembada pangan.Tanaman pangan segala jenis tanaman yang daat menghasilkan karbohidrat dan protein. Prediksi hasil pertanian, khususnya hasil panen padi diperlukan untuk diprediksi agar dapat didapat suatu peramalan dalam menentukan hasil produksi padi pada tahun 2017. Dengan demikian petani bisa memperkirakan hasil panen padi pada tahun berikut dan juga berapa keuntungan yang akan didapat. Bagaiamana memvalidasi output Fuzzy Inference System yang telah disusun sehingga dapat menjamin kemampuan dari metode tersebut dalam memprediksi hasil panen padi NTT tahun 2017. Menguji tingkat validitas dan akurasi outputFuzzyInference System yang telah disusun sehingga dapat menjamin kemampuan dari metode tersebut dalam memprediksi hasil panen padi di NTT pada tahun 2017. Membuat prediksi hasil panen padi di NTT pada tahun 2017 dengan metode Fuzzy Inference System b. Menentukan tingkat akurasi dan validitas prediksi hasil panen padi di NTT berdasarkan metode Fuzzy Inference System. Semesta pembicaraan adalah keseluruhan nilai yang diperbolehkan untuk dioperasikan dalam suatu variabel fuzzy.
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