Judul: Perdagangan Jenis Kura-kura Darta dan Kura-kura Air Tawar di Jakarta
Abstrak: Tortoises and freshwater turtles, as wildlife resources, have long been used since the beginning of mankind to the modern era as food, medicinal ingredients, pets, handicrafts and religious release. This research aim: (1) to analyze the trade of tortoise and freshwater turtles as pets in Jakarta; (2) to analyze the perception of stakeholders on the conservation og Indonesia's biodiversity.
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Judul: Pemanfaatan Reptil Sebagai Obat dan Makanan di Daerah Khusus Ibu Kota (DKI) Jakarta
Abstrak: Economic crisis in Indonesia urge people to utilize natural resources including reptile. Reptile used to be regarded as adverse thing, now becoming profitable comodity for medicine and food. Nowadays, demand for reptile is increasing so that creates more risk for sustainability of reptile because most of reptile hunted from wild. The aim of this research was to know the characteristic of reptile traders and consumers, to know the utilization of reptile as medicine and food products and to investigate reptile trafficking in DKI Jakarta. This research was carried out from November until Desember 2008 in DKI Jakarta. The direct observation and interview to the traders and consumers were be used to collect data. There were ten traders selected by purposive sampling method. Whereas 30 consumers were selected based on the average of daily visitors. Most of traders were Indonesian male with average age of 43 years old and having selling experience for 2-43 years. Most of consumer were Indonesian male with the average of age 34 years old. Their education background were senior high school. There were 13 species (southern Indonesian spitting cobra, king cobra, reticulated python, copperhead racer, mangrove snake, banded krait, Malayan krait, ground pit viper, Indian rat snake, asian water monitor, tockay, skink and southest asian softshell turtle) of reptiles that be used as medicine product (fresh blood, salve, capsule, cream, oil, dried gall bladder, dried male genital and powder). There were 7 species (southern indonesian spitting cobra, reticulated python, crocodile, asian water monitor, tockay, skink and southest asian softshell turtle) were used for food products (roasted meat, soup, frieds meat and fried meat powder). Reptile trafficking in DKI Jakarta was divided into 2 networking system, which are: 1) small scale trader (wild reptiles- hunters - primary collectors - secondary collectors - small scale traders - consumer) and 2) large scale trader (wild reptiles - hunters - primary collectors – small scale productions - large scale traders - consumers). People usually utilize reptile for treating skin diseases. It is necessary to control reptile hunting in order to prevent those species from extinction. Breeding in captivity is on off alternatives to reduce hunting of reptile from the wild. Formal monitoring and regulation in reptile utilization by BKSDA DKI Jakarta, monitoring and contolling by BPOM DKI Jakarta as well as research on bioactive content in reptile meat
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Judul: Application of Mel Frequency Cepstrum Coefficients (MFCC) as Feature Extraction on Phoneme Recognition with Probabilistic Neural Network (PNN) as Classifier
Abstrak: Voice recognition (speech recognition) is one field of study in voice processing. This technology can convert voice signals into a form of written information (text). With this technology, people can interact with a computer. MFCC feature extraction computes the cepstral coefficients by considering the human hearing. This research is a phoneme recognition using feature extraction MFCC and PNN as feature matching model. This study compares the coefficient, overlap, and the test data without noise and with noise. MFCC is used with 13, 20, 26 coefficients and 0%, 25%, 50% overlap. Noise is added by 30 dB, 20 dB and 10 dB. From the comparison of the three overlaps, produced the best accuracy at 50% overlap with an accuracy of 94,71%. From comparing the three coefficients, better accuracy resulting in coefficients of 20 and 26 with an accuracy of 97,12% at 50% overlap. After comparing between the coefficients of 20 and 26 with overlap of 25% then the coefficient 26 is obtained that better accuracy of 94,23%. This shows that in this study the coefficient 26 is the best. In this research, there are three noise variables. The variables are 10 dB, 20 dB, and 30 dB. The best accuracy reached when the noise variable is 30 dB rather than 10 dB or 20 dB because the accuracy has the closest accuracy compared by the accuracy when noise was not added into the data. When the noise variable is 30 dB, the percentage of accuracy is 85,3%.
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