Judul: Penggabungan Ciri Tekstur dan Geometri Citra untuk Identifikasi Tumbuhan Obat Berbasis Mobile
Abstrak: Penelitian ini mengusulkan penggabungan ciri tekstur dan geometri citra untuk identifikasi tumbuhan obat berbasis mobile. Fuzzy Local Binary Pattern digunakan untuk mengekstraksi ciri tekstur dan ciri geometri yang diekstrak yaitu area, circularity, eccentricity, and centroid-radii. Metode penggabungan yang digunakan yaitu Product Decision Rule. Penelitian ini menggunakan metode Probabilistic Neural Network untuk mengklasifikasikan berdasarkan vektor ciri tekstur dan geometri. K Fold Cross Validation digunakan dalam penelitian ini untuk membagi data menjadi data latih dan data uji. Penelitian lebih lanjut yang dilakukan yaitu menggabungkan fitur tekstur dan geometri untuk mendapatkan hasil identifikasi tumbuhan obat yang lebih baik. Penelitian ini menggunakan 85 spesies tumbuhan obat, total data yang digunakan dalam penelitian ini yaitu 3,502 citra. Hasil penelitian menunjukkan bahwa penggabungan ciri geometri dan tekstur citra dapat meningkatkan hasil akurasi identifikasi tumbuhan obat. Akurasi dari penggabungan ciri geometri dan tekstur yaitu 88.50%. Penelitian ini bermanfaat untuk membantu mengidentifikasi tumbuhan obat.
Keyword: fuzzy local binary pattern, geometri, probabilistic neural network, product decision rule, tumbuhan obat

Judul: Penggabungan Fitur Morfologi, Local Binary Pattern Variance, dan Color Moments untuk Aplikasi Mobile Identifikasi Citra Tumbuhan Obat
Abstrak: This research proposed a new Android mobile application for medicinal plants identification using some features of leaf, i.e. texture, shape, and color. This research used 51 species of medicinal plants and each species consists of 48 images, so the total images used in this research are 2448 images. Local Binary Pattern Variance (LBPV) is used to extract the texture, morphological feature is used to extract the shape, and color moments is used to extract color feature based on color distribution. Further research was conducted on the combination of features to get a better result in medicinal plants identification. The combination technique used is the Product Decision Rule (PDR). This research uses the Probabilistic Neural Network (PNN) technique to classify the morphological, LBPV, and color moments features vector. The experimental results show that the combination of the morphological, LBPV, and color moments features can improve the accuracy of medicinal plants identification. The accuracy of the combination of the morphological, LBPV, and color moments features is 72.16%.
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Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
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