Judul: Identifikasi Karakter Plat nomor Kendaraan Menggunakan Ekstraksi Fitur ICZ dan ZCZ Dengan Metode Klasifikasi K-NN
Abstrak: Plat nomor merupakan kode unik yang terdiri dari susunan huruf dan nomor. Setiap kendaraan memiliki satu plat nomor yang dijadikan sebagai kode identitas dari kendaraan itu sendiri. Karena plat nomor bersifat unik sehingga sering digunakan untuk keperluan pencatatan seperti di area parkir. Untuk memudahkan pencatatan plat maka dibuatlah identifikasi karakter plat nomor kendaraan secara otomatis yang menggunakan input berupa gambar plat nomor. Klasifikasi K-NN dan ekstraksi ciri ICZ dan ZCZ digunakan dalam identifikasi karakter. Ekstraksi ciri ICZ dan ZCZ mendapatkan ciri dengan menghitung koordinat centroid dan membagi citra ke dalam n zona yang sama besar kemudian menghitung rata-rata jarak centroid terhadap keseluruhan piksel. Akurasi identifikasi per karakter yang dihasilkan dengan menggunakan zona berjumlah 14 dan ektraksi ciri ICZ adalah 97.00% sedangkan akurasi dengan menggunakan ektraksi ciri ICZ+ZCZ adalah 98.17%. Akurasi indentifikasi per plat nomor kendaraan menggunakan ekstraksi ciri ICZ+ZCZ tanpa toleransi kesalahan adalah72.31% dan 89.23% untuk toleransi kesalahan sebanyak 1
Keyword: Bogor Agricultural University, Institut Pertanian Bogor, IPB

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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Judul: Salinity influence to mercury toxicity and the effect to milkfish (Chanos chanos Forsskal) physiologic conditions
Abstrak: Mercury is a very dangerous heavy metal that can damage nerve and enzyme system in fish body. This research aimed to knows mercury toxicity to milkfish with different salinity. It consisted of two steps; they were preliminary research (range value test and acute toxicity test) and main research (the salinity influence of mercury toxicity and milkfish’s physiologic condition). Range value test was done in fresh water consisting of five treatments (0, 0.006, 0.06, 0.6 and 6 mg Hg/l). Acute toxicity test also consisted of five treatments (0, 0.110, 0.195, 0.347 and 0.618 mg Hg/l). Moreover, main research consisted of one control and three treatments with three replications at the same concentrate of mercury 0.012 mg Hg/l. Those treatments were salinity 0 ppt, 10 ppt and 20 ppt. The result demonstrated that LC50 96 hour in fresh water was 0.147 mg Hg/l. The main research showed that mercury can increased osmotic gradient, decreased oxygen consumption rate, increased blood glucose rate, decreased hematologic conditions, growth rate, feeding efficiency, and survival rate. Mercury is collected in body gland, for example in gill and liver. Treatment C (10 ppt) showed better physiologic conditions than other treatments. The effect of mercury toxicity would get minimal while maintained at optimal salinity.
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