Judul: Dampak Ekonomi dan Daya Dukung Kawasan dalam Pengembangan Wisata Pulau Tidung, Kepulauan Seribu, DKI Jakarta
Abstrak: Tourism activities give an advantage in economic growth in some Indonesia areas, such as increasing income and opening job vacancy for local society. One areas that has potency in developing tourism sector is Tidung Island, DKI Jakarta. The tourism development was started in 2009, where the total tourism visiting Tidung Island is increasing every year. It has given a positive impact to the local economic. Economic impact from tourism activities were direct, indirect, and induce impact. Multiplier effect analysis method was used to analize economic impact in Tidung Island. Keynesian income multiplier value was 1.7 and ratio income multiplier type I and type II were 1.5 and 1.6. Moreover, the increasing of tourist number was potentially caused by over carrying capacity in some certain point areas in snorkeling and beach tourism, especially on peak season. So that, appropiate strategy is needed for managing and developing tourism area. Some alternative strategies that can be implemented for Tidung Island tourism management are: maintaining and increasing tourism management system; maintaining cooperation between management party, society, and tourist to protect resource and environment of tourism area; promoting new tourism; developing other potencial areas and new tourism activities to avoid over carrying capacity in some certain areas; increasing education and information to the society and tourist in maintaining the environment preservation, hygiene, and beauty of tourism area; and managing professionalism of local labor in tourism through training.
Keyword: Bogor Agricultural University, Tidung Island, over carrying capacity, management strategy, Economic impact

Judul: Penilaian Ekonomi dan Daya Dukung Wisata Bahari di Pulau Pari Kepulauan Seribu Provinsi DKI Jakarta
Abstrak: The economic assessment and carrying capacity of Pari island marine tourism in Thousand islands of DKI Jakarta province are intended to determine the land suitability of Pari island for the marine tourism, to estimate the physical carrying capacity of Pari island for the marine tourism, to estimate the economic values of Pari island for the marine tourism and the economic impacts for the local people. The analysis of tourism land suitability shows that the group of Pari island in accordance with the parameter of brightness and flow velocity is really appropriate with the parameter of the types of coral reefs and reef fish species, is appropriate with margin and is sufficiently appropriate with the live coral cover; and in accordance with the width parameter is of the potential for 361,5 ha diving and 939,55 ha snorkeling activities. The carrying capacity of the group of Pari island for diving tourism is 1.287 people/day, for snorkeling tourism is 2.787 people/day, for mangrove tourism is 504 people/day, and for beach tourim is 2.572 people/day. The results showed the total economic value of marine tourism in Pari island about 12.365.824.221,25 IDR or 192.314.529,10 IDR per hectare/year. Keynesian Local Income Multiplier value of cash flow marine tourism activities in Pari Island showed a value of 1,48, Income Multiplier Ratio Type I and Income Multiplier Ratio Type II with value of 1,09, and 1,14.The recommendations for the marine tourism development in Pari island are among other: the settlement of land ownership status; involvement, capacity development, and community empowerment; the opening of direct transport access toward Pari island; the improvement of infrastructures and tourism supporting facilities
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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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