Judul: pengukuran kinerja k-nearest neighbors dan self organizing maps menggunakan fast fourier transform untuk identifikasi penyakit tanaman (studi kasus : tanaman padi dan anthurium)
Abstrak: Plant diseases can reduce the plant sale price, resulting in losses on farmers especially in the economic field. Eradication of the diseases has been done, but determining the type of disease is still difficult. This research proposed a new study on measuring for automatically identification of plant disease based on leaf image with the input of digital image. Detection process started with feature extraction using Fast Fourier Transform and the identification process using the k-Nearest Neighbor (kNN) and Self Organizing Maps (SOM). This study, used the image which consists of six hundred pieces of images, that divided into six classes consisting of 70% for train data and 30% for test data. The experimental result showed that identification of plant disease using k-NN is better than that of SOM. The accuracy achieved 76% and 62% for k-NN and SOM respectively.
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Judul: Identifikasi penyakit tanaman menggunakan fast fourier transform dan local binary pattern dengan probabilistic neural network (studi kasus tanaman Anthurium dan padi)
Abstrak: Plant diseases can result in death and decreased quality and quantity of agricultural products that are economically significant to cause losses for farmers. This research proposes a new system to identify plant disease automatically based on plant leaf image. Fast Fourier Transform (FFT) and Local Binary Patterns (LBP) are used to extract the features. There are nine features had been resulted by FFT i.e. mean, variance, different value of maximum and minimum levels, different value of maximum and mean levels, standard deviation, skewness, kurtosis, entropy, and the highest pixel value. Then these features are combined and classified using Probabilistic Neural Network. The result shows us that these features can be used to identify plants disease, best accuracy to indentify plants disease is 85.56%. The proposed system is promising since it is capable to identify disease plants species efficiently and accurately.
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Judul: Daya dan kestabilan buih putih telur itik tegal pada umur telur dan taraf penambahan asam sitrat yang berbeda
Abstrak: The usage of ducks egg for cake mixes is still rare since its foaming is lower than chicken egg. Albumen foaming and its stability are affected by egg age and chemical addition or stabilization. Chemical substance which can be used is citric acid. This research was designed to study whether albumen foaming and its stability of Tegal ducks egg in different age could be increased by adding citric acid in a given concentration before mixing. The result was hoped to supply information about the best albumen foaming and stability formed by Tegal duck egg by adding citric acid in different egg age. The research used Block Randomized Design factorial pattern. As first treatment were egg age which contained 4 factor levels; fresh, 7, 14 and 21 days of egg. Second treatment were citric acid addition, that also contained 4 factor levels; 0, 0.8, 1.6 and 2.4%. Egg which is collected in different days was used as block. The longer egg shelf life, the more block formed. Data which is obtained were analyzed by descriptive approach. The highest albumen foaming and its stability of Tegal ducks egg without citric acid addition was in fresh egg, which was 451.83±122.18% and 3.43±0.66% in leak percentage. Albumen foaming and its stability was decrease as egg age longer. Citric acid addition until 2.4% could increase albumen foaming and its stability only in fresh egg, with addition level best in 0.8%. This addition established foaming as much as 683.33±14.43% and 2.66±1.41% leak percentage.
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