Abstract
The need for fertilizer at the Plant Protection Development Unit (UPPT) is uncertain depending on the demand of farmers, therefore it is necessary to predict fertilizer needs. There are five types of fertilizers predicted by the Plant Protection Development Unit (UPPT), including Urea fertilizer, ZA fertilizer, SP-36 fertilizer, NPK fertilizer, and Organic fertilizer, so fertilizer needs can be predicted. In predicting data mining on fertilizer needs using the ID3 algorithm. Where it works is calculating the value of entropy and gain to get the final result in the form of a tree to the decision and rule. Testing is done using the tanagra software. The results of the tests carried out on the tanagra application using the ID3 algorithm are in the form of a decision tree, while in the calculation the results obtained are in the form of a decision tree.
Highlights
uncertain depending on the demand of farmers
five types of fertilizers predicted by the Plant Protection Development Unit
it works is calculating the value of entropy
Summary
Pupuk merupakan material yang ditambahkan pada tanah atau tanaman yang berfungsi untuk melengkapi unsur hara sehingga pertumbuhan tanaman menjadi lebih baik. Penggunaan pupuk pada tanaman harus di perhatikan oleh petani yaitu teknik dan cara pemupukannya. Dalam pemberian pupuk perlu diperhatikan kebutuhan tumbuhan agar tumbuhan tidak mendapat terlalu banyak zat makanan dan tidak berbahaya pada tumbuhan.Unit Pembinaan Perlindungan Tanaman (UPPT) merupakan kantor pertanian yang menyediakan Pupuk untuk di terima masyarakat. Dalam penerapan algoritma ID3 (Iterative Dichotomiser 3) merupakan sebuah metode yang digunakan untuk membangkitkan pohon keputusan. Pemilihan atribut pada ID3 dilakukan dengan propertis statistik, yang disebut dengan information gain. Dengan tujuan untuk mendefinisikan gain, pertama-tama digunakan ide dari teori informasi yang disebut entropy[2], [3]
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