Frekuensi Suara adalah getaran sinyal yang terdengar oleh manusia yang dihasilkan oleh gelombang bunyi yang memiliki frekuensi antara 20 Hz hingga 20.000 Hz. Dalam sistem temu kembali informasi dari sebuah musik diperlukan proses ektraksi musik menjadi sinyal frekuensi suara.Tujuan dari penelitian ini adalah untuk mencari nilai Average Energy (AE) yang merupakan salah satu parameter yang digunakan dalam information music retrival. Fast Fourier Transform (FFT) adalah metode yang digunakan untuk mentransformasi sinyal suara menjadi spectrum suara berbasis sinyal frekuensi yang dapat digunakan dalam proses analisa data suara lebih lanjut. Berdasarkan ujicoba dari musik yang digunakan pada penelitian ini diperoleh nilai Average Energy (AE) sebesar 0.00044998
The agriculture department of Solok West Sumatra district especially Agricultural Extension Agency (BPP) of Lembang Jaya Sub-district, has decreased the productivity of onion every year. This plant has decreased because it often attacked by pests or diseases, and lack of knowledge about the symptoms of onion’s pests or diseases. To fix this problem, made an application to facilitate the farmers, to know the type of pest or disease from symptoms on the onion and solution of each type of diseases. The method used is Forward Chaining. Forward Chaining Method is collection of data from each symptom that appear on the Allium Cepa Var Aggregatum. Then, made a decision to get the results about the solution and type of disease on the Allium Cepa Var Aggregatum. The results of this study is to show the type of disease and solution that has been detected based on symptoms on the Allium Cepa Var Aggregatum.
With a prediction of profits, farmers can anticipate if the next harvest has experienced a slight profit or failed to harvest and so that farmers still have business capital and they do not experience a stable cage (bankrupt). This research objective is comparing two kind prediction method. Methods to be compared are Triple Exponential Smoothing and Monte Carlo methods. To find out the value of the compatibility of the two methods used MAPE (Mean Absolute Percentage Error) which can find out the percentage of the error value. This method are used for farmers financial management in predict their profit. To implement both methods, past data are used, namely the previous harvest profit data. Result of this study, by using Triple Exponential Smoothing method produces a MAPE value of 12.10% with a value of α = 0.3 and the Monte Carlo method produces a MAPE value of 40.58%.
ABSTRAKPrediksi keuntungan bisnis ayam digunakan untuk membantu peternak ayam dalam meramalkan keuntungan yang diperoleh di panen selanjutnya. Dengan adanya sebuah prediksi keuntungan, peternak dapat melakukan antisipasi apabila di panen selanjutnya mengalami untung sedikit atau gagal panen. Selain itu,agar peternak tetap memiliki modal usaha dan tidak mengalami tutup kandang (bangkrut). Di dalam penelitian ini penulis membandingkan dua metode yang cocok digunakan dalam kasus ini, yaitu metode triple exponential smoothing. Data yang digunakan dalam perhitungan yaitu data keuntungan pada panen sebelumnya. Untuk mengetahui nilai kecocokan kedua metode tersebut penulis menggunakan mean absolute percentage error (MAPE) untuk mengetahui persentase nilai eror. Berdasarkan pencarian nilai MAPE, metode triple exponential smoothing menghasilkan nilai MAPE sebesar 12.10% dengan nilai α=0.3. Sedangkan dengan percobaan mencari nilai prediksi keuntungan untuk 2 panen selanjutnya diperoleh selisih sebesar Rp. 19,935,410.
ABSTRACTThe prediction of the profitability of the chicken business is used to help chicken farmers in predicting the profits obtained in the future. With the prediction of victory, breeders can anticipate payments at harvest then add a little profit or crop failure. In addition, for farmers to still have business capital and do not need to close the cage (bankrupt). In this study, the authors compared two suitable methods used in this case, the triple exponential smoothing method. The data used in the calculation is the acquisition data on the previous harvest. To determine the suitability of the two methods, the writer uses the average percentage of absolute error (MAPE) to find out the percentage error value. Based on the search for MAPE values, the triple exponential smoothing method produces a MAPE value of 12.10% with a value of α = 0.3. While with the added value of estimated profits for the next 2 revenues, a difference of Rp. 19,935,410.
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