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JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI JUMLAH PRODUKSI DAGING SAPI BERDASARKAN PROVINSI Revi, Ahmad; Solikhun, Solikhun; Safii, M
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.941

Abstract

Prediction is a process for estimating how many needs will be in the future. This study aims to predict the amount of beef production by province. Beef is one source of protein which is also a high value comodities. Meat production in Indonesia in general tends to increase by around 2.76% per year. But along with the increase in beef production in Indonesia, the level of meat consumption in Indonesia tends to fluctuate in recent years. Imports are the most common step taken by the government to meet domestic beef needs. By using the Artificial Neural Network and backpropagation algorithm, it will be predicted the amount of beef production based on the province in order to determine the steps to meet domestic beef demand based on the amount of beef consumption in the community. This study uses 11 input variables, namely data from 2005 to 2016 with 1 target, data of 2017. Using 5 architectural models to test the data to be used for prediction, the 11-4-1 model, 11-8-1 , 11-18-1, 11-20-1 and 11-28-1. Obtained the results of the best architectural model is the 11-28-1 architectural model with truth accuracy of 100%, the number of epochs 15 and MSE is 0.008623197. This model will be used in predicting the amount of beef production by province.Keywords : Beef production, prediction, backpropagatin, Artificial Neural Network
PENENTUAN KELAYAKAN PENERIMAAN BANTUAN RASKIN DENGAN METODE MOORA PADA KELURAHAN MARTOBA PEMATANGSIANTAR Siregar, Abdul Zikri; Poningsih, Poningsih; Safii, M
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.937

Abstract

Raskin is a rice program for the poor. The Raskin program is one of the governments efforts to reduce the burden of expenditure on poor families. However, in its field practice, the decision to determine the criteria for receiving rice that has already taken place usually does not refer to the criteria of poor families, resulting in the distribution of rice being misdirected. To help these problems, a decision support system will be established to assist in the distribution of Raskin which is right on target with the Multi-Objective Optimization Method On The Base Of Ratio Analysis (Moora). Decision Support System (SPK) is a computer-based system combining models and data in an attempt to solve unstructured problems with user involvement through a user interface that is easy to use. This system is used for assist decision making in semitructured situations and unstructured situations, where no one knows exactly how decisions should be made. The Moora method is a multicriteria decision making method based on each appropriate criterion. The criteria used are: Job Type, Amount of Income, Amount of Dependent, House Condition, Home Ownership, Age.Keywords: Decision Support System, Moora, Raskin (Poor Rice)