Judul: Identifikasi Hama Ulat Kubis Menggunakan Transformasi Wavelet dengan Klasifikasi Probabilistic Neural Network
Abstrak: Identifikasi penyakit hama ulat kubis menggunakan transformasi Wavelet merupakan penelitian yang bertujuan untuk mengidentifikasi hama ulat kubis berdasarkan ciri teksturnya. Metode transformasi Wavelet digunakan sebagai teknik ekstraksi ciri citra. Penelitian ini fokus kepada 3 jenis hama ulat kubis yaitu Crocidolumia binotalis zeller, Spodoptera exigua (Hubner), dan Spodoptera litura F. Teknik klasifikasi yang digunakan adalah klasifikasi Probabilistic Neural Network (PNN). Untuk mendapatkan akurasi terbaik digunakan analisis confusion matrix@dan k-fold cross validation dengan nilai k = 5. Hasil identifikasi hama ulat kubis pada penelitian ini menunjukkan akurasi rata-rata sebesar 80.74%. Hal ini menunjukkan bahwa metode transformasi Wavelet dan classifier Probabilistic Neural Network dapat diterapkan untuk identifikasi hama ulat kubis.
Keyword: Cabbage Caterpillar Pest, PNN, Wavelet Transformation

Judul: Identifikasi Penyakit Tanaman Kubis Menggunakan Gaussian Filter dan Wavelet Transformation
Abstrak: Decreased levels of cabbage production in Indonesia is caused by agricultural barriers such as diseases. Diseases on cabbage is difficult to identify. One solution that can be done is by using a digital image processing techniques. The use of digital image processing techniques is to facilitate the identification of cabbage diseases. This study uses Gaussian Filter and Wavelet Transformation to identify the type of cabbage diseases based on the image of its leaves. Gaussian filter method is applied to reduce noise in the image of diseased cabbage. Wavelet Transformation method is used as a feature extraction technique to the image. This study only focused on three types of cabbage diseases namely, leaf spot Alternaria, Black rot, and Downy mildew. In this study, identification of cabbage disease showed an accuracy of 85%. This suggests that the combination of these two methods can be applied to the identification of an image of cabbage diseases.
Keyword: cabbage diseases, gaussian filter, wavelet transformation

Judul: Pembuatan Sel Surya Berbasis Film Ferroelektrik Barium Strontium Titanate (Ba0,5Sr0,5TiO3)
Abstrak: Growth of films Ba0,5Sr0,5TiO3 (BST) 1 M has been done with variation of annealing in hold time 8 hours, 15 hours, 22 hours, and 29 hours at constant temperature 8500C, above Si (100) substrate p-type, by using the sol-gel process method which followed with spin coating process at 3000 rpm for 30 seconds. Optics spectroscopy shows that BST film solar cells with annealing hold time 8 hours, 15 hours, and 22 hours, works effectively in wavelength ≥ 700 nm absorption range. Yet for sample with annealing hold time about 29 hours effectively absorb in ≤ 700 nm wavelength range. It obtained BST film refractive index at range 2.0 to 7.0 to wavelength range ±370-870 nm. Band gap BST film value based on annealing hold time 8 hours, 15 hours, 22 hours, and 29 hours respectively 2.60 eV; 3.12 eV: 3.24 eV, and 2.66 eV. Electrical conductivity value which obtained, indicate that the BST film is classified as semiconductor material with conductivity order 10-5-10-4 S / cm. The result of I-V photovoltaic characterization shows the BST film potentially to be a solar cells device with efficiency according to the annealing hold time 8 hours, 15 hours, 22 hours, and 29 hours in a row are 2.68x10-5%, 3.51x10-5%, 4.53x10-5% and 3.22x10-5%
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