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: Penanganan Pasca Panen Kentang (Solanum tuberosum L.) di Hikmah Farm, Pangalengan, Bandung, Jawa Barat.
Abstrak: Magang dilakukan untuk memperoleh pengalaman dalam pengelolaan budidaya tanaman kentang di lapangan hingga kegiatan pasca panen baik secara teknis maupun manajerial. Magang dilaksanakan di Hikmah Farm, Desa Margamukti, Kecamatan Pangalengan, Kabupaten Bandung, Provinsi Jawa Barat pada tanggal 12 Februari sampai dengan 12 Juni 2009. Penulis melakukan pekerjaan di Hikmah Farm sesuai standar operasional perusahaan. Penulis bekerja sebagai Karyawan Harian Lepas (KHL) selama dua bulan dengan melaksanakan seluruh kegiatan budidaya tanaman di lapangan antara lain : pembibitan, penanaman, pemupukan, pengendalian hama dan penyakit, panen, dan pasca panen. Penulis bekerja sebagai pendamping mandor selama satu bulan dengan melaksanakan kegiatan antara lain : membuat perencanaan biaya dan jumlah tenaga kerja yang dibutuhkan untuk melakukan suatu pekerjaan, mengawasi KHL, dan membuat jurnal harian. Penulis bekerja sebagai pendamping kepala kebun selama satu bulan dengan melaksanakan kegiatan antara lain : menyusun Rencana Kerja dan Anggaran Perusahaan (RKAP), mengawasi mandor, dan menganalisis setiap kegiatan.
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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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