Judul: Aplikasi Android untuk Pengenalan Citra Karakter Jepang dengan Library Tesseract
Abstrak: Japanese is one of difficult language to learn because the writing is relatively complicated and it has three kind of writing hiragana, katakana, and kanji. In this study, the Japanese character recognition system based on Android is designed to recognize Japanese character image and translate it into Indonesian using the library Tesseract OCR (Optical Character Recognition). OCR is a technique to convert non digital text into digital text or literally be interpreted as optical character recognition. In this study there were five functional requirements taking a picture with a camera, taking pictures form gallery, the conversion from image to text, text editing of Japanese character form OCR results, and display the results of Japanese text translations. Based on 10 samples of Japanese characters that have been tested, the accuracy values obtained from the test image from the camera around 80% and 94% image from the gallery. Besides test of applications using the questionnaire reached 91%. Thus this application is expected to be able to recognize the image of Japanese characters and translate them into Indonesian according to user needs.
Keyword: Bogor Agricultural University (IPB), Text., Image, Tesseract OCR, Android, Indonesian, Japanase

Judul: Aplikasi Pencari Info Obat dengan Masukan Citra Teks Kemasan Obat Berbasis Android Menggunakan Tesseract OCR Engine
Abstrak: Detailed information on drug is usually written on a leaflet that can only be read when the package has been opened. It is difficult for consumers who just want to know the detailed information of certain drug to decide whether the drug will be bought or not. A solution is needed to convert drug brand text image into editable text, so that it can be used as a keyword query for drug info searching on the internet. Optical Character Recognition (OCR) is a process to convert image into editable text. Tesseract performs several processes to identify drug brand text image. The processes are image preprocessing, feature extraction, segmentation, and word recognition. This research developed an Android application to recognize drug brand text image. Tesseract is used because it has good accuracy in recognizing text with serif and sans serif font which have far density between characters. Drug packaging input image of the application can be taken from a camera or gallery. The best accuracy of this application in recognizing characters with 70 drug packaging images reached 96.80%.
Keyword: Bogor Agricultural University, Tessera, optical character recognition, drug, Android

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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