Judul: Penanganan budidaya kentang  (Solanum tuberosum l.) Di hikmah farm, Pangalengan, Bandung, Jawa Barat
Abstrak: This internship has been done to learn management aspect of potato cultivation and to train the ability of the author to work on field as technician or manager. This internship was implanted at Hikmah Farm, Desa Margamukti, Kecamatan Pangalengan, Kabupaten Bandung, West Java on 14 February until 14 June 2011. The internship was divided into three work section, as field labor for one month, as the assistant foreman for one month, and as the assistant head of estates for two months. The particular aspect that has been observed is influence of early ridging against the growth of potato plant. The treatment that has been done is height of ridging on 10, 15, 20 cm and observed variable was percentage of seedling growth, height of plant, number of stolons per stem and tuber weight at harvest. Analysis result has shown that the treatment height of ridging has significantly influence on percentage of seedling growth on 21st day after planting and has very significantly influence on height of plant on 28th day after planting.
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Judul: Panen dan Pascapanen pada Umbi Bibit dan Umbi Konsumsi Kentang (Solanum tuberosum L.) di Hikmah Farm, Pangalengan, Bandung, Jawa Barat.
Abstrak: General purpose of the internship was to study the potato cultivation and to train technical and managerial skills in problem analyzing on field, especially on the purpose harvesting and postharvest handling aspect. The specific purpose was to observe the effect of harvesting time quality of the tuber, the influence of harvesting method efficiency of harvesting labour and losses of product, the influence of the height of fall out tuber on the damage of tuber, and to observe the percent loss that of product in the field and the storage. The results of specific aspect showed that longer harvesting time harder the tuber skin up to 100 %. Plants that harvested too young will produce small tubers percentage higher than large tubers. Acquisition of tuber fresh weight will be low if the harvesting time is less than 90 days and more than 100 days after planting. Method harvest 1 (digging with gala, drying, sorting and grading, rafting step 1, transport step 2 ) is the highest to get the crop quality. Method harvest 2 (digging with a hoe, drying, sorting and grading, rafting step 1, transport step 2) is the best way to get the efficiency of harvesting labour. Damage of tuber for seed is higher than tuber for consumption. The highest tuber damage occurs when the tuber is dropped at a height of 2.5 m. Percentage tuber losses in storage was higher than losses in the field. The range yield loss in the field between 1 % up to 3 % and yield loss in the storage between 9 % up to 52 %.
Keyword: yield loss, post-harvest, potato (Solanum tuberosum L.), method harvest, harvest

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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