Judul: Pengaruh Taraf Pemberian Tepung Daun Bangunbangun (Coleus Amboinicus Lour) Dalam Ransum Induk Babi Menyusui Terhadap Nilai Ekonomi Penampilan Anak Babi Sapihan
Abstrak: In the tropic, there was a wild plant called bangun-bangun. This plant is belived could increase the milk production of mammal, especially milk production of woman whose feeding their baby. The aim of this research is to study the economy influance of bangun-bangun leaf meal which is added to the sow’s diet at different level (0; 1,25; 2,5; and 3,75%). The design of this research was completely random design with four replication. The observed parameter was litter size, sow feed intake, litter weight at birth, litter weight at weaning, litter weight gain, milk production, body weight gain, feed cost, total production cost and the weaned piglet economy effect. Result of this research showed that at level 1,25% bangun-bangun leaf meal in sow’s diet, gave biggest profit than another level in economy of weaned piglet. The profit of a weaned piglet can increase until 17,21% from the usual advantage (level 0%). Bangun-bangun leaf meal in sow’s diet didn’t have significant effect on litter size, sow feed intake, litter weight at birth, pig weight at weaning, litter weight gain, milk production and body weight gain. Keywords : Bangun-bangun leaf meal, weaned piglet and weaned piglet economy effect
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Judul: Penampilan anak babi menyusu dari induk dengan ransum yang mengandung tepung daun bangun-bangun [Coleus amboinicus Lour] pada taraf yang berbeda
Abstrak: Tanaman bangun-bangun (Coleus amboinicus Lour) merupakan jenis tanaman herba, yang telah lama dikenal di beberapa daerah di Indonesia. Bangun- bangun ini dipercaya mampu meningkatkan produksi air susu ibu yang menyusui, terutama di daerah pulau Sumatera Utara. Penelitian ini dilakukan untuk mengetahui dan menentukan pengaruh pemberian beberapa taraf (0; 1,25; 2,5; dan 3,75%) tepung daun bangun-bangun (TDB) ke dalam ransum induk babi menyusui terhadap penampilan anak menyusu hingga penyapihan (30 hari). Peubah yang diamati dalam penelitian ini adalah konsumsi ransum induk, litter size lahir, bobot lahir, produksi air susu induk (PASI) babi, mortalitas, konsumsi ransum anak, litter size sapih, bobot sapih, pertambahan bobot badan anak (PBBA) dan laju pertumbuhan anak babi menyusu. Rancangan percobaan yang digunakan adalah Rancangan Acak Lengkap (RAL) dengan empat perlakuan masing-masing empat ulangan. Data yang diperoleh dianalisa dengan menggunakan Analisis Ragam atau Analysis of Variance (ANOVA) menggunakan MINITAB 14, dan apabila terdapat perbedaan nyata akan dilanjutkan dengan uji lanjut Tukey. Berdasarkan hasil analisis ragam diketahui bahwa perlakuan tidak berpengaruh nyata terhadap konsumsi ransum induk babi, PASI babi, mortalitas, konsumsi ransum anak, litter size sapih, bobot sapih, dan PBBA babi menyusu. Hasil pengamatan berdasarkan peubah yang diamati menunjukkan bahwa perlakuan R3 (penambahan 2,5% TDB) mempunyai PASI yang lebih tinggi sebesar 1,33% dari R1 (kontrol).
Keyword: Bangun-bangun leaf meal, Performance of suckling piglets

Judul: Identifikasi Karakter Pada Plat Nomor Kendaraan Menggunakan Ekstraksi Fitur ICZ dan ZCZ dengan Metode Klasifikasi K-NN
Abstrak: License plate is a unique code consisting of letters and numbers arrangement. Each vehicle has a license plate that serve as the identity code of the vehicle itself. Since license plates are unique, it often used for recording, such as in the parking area. The character identification characters on the license plates are made automatically using the input in the form of license plate images to facilitate the recording process. K-NN classification and feature extraction ICZ and ZCZ used in the identification of character identification. ICZ and ZCZ feature extraction obtain features by computing the character centroids and divide the image into n equal zones then computing the average distance from the character centroid to every pixel in the image. The character identification accuracy using 14 zones and ICZ are 97.00% while using ICZ+ZCZ feature extraction are 98.17%. The license plate identification accuracy using feature extraction plates ICZ+ZCZ are 72.31% for zero tolerance and 89.23% for one fault tolerance.
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