Judul: Business strategies of freshwater ornamental fish business in ilmi fish farm, at tajur, bogor city
Abstrak: Ilmi Fish Farm adalah salah satu organisasi bisnis ikan hias di Kota Bogor. Kegiatan usaha yang dilakukan adalah menjual dan mendeder ikan hias. Penelitian ini ditujukan untuk mencari strategi bisnis yang dapat dijalankan oleh Ilmi Fish Farm. Dari analisis matriks IE, Ilmi Fish Farm berada pada kuadran V yaitu menjaga dan mempertahankandengan strategi penetrasi psar dan pengembangan produk. Dari hasil analisis SWOT terdapat 4 alternatif strategi; (1) Menambah komoditas ikan hias, (2) menambah kuantitas aset untuk penampungan (3) menggunakan metode intensifikasi untuk menambah kepadatan jumlah ikan hias dan (4) menambah pemasok cacing sutera. Prioritas strategi yang didapat dari QSPM adalah metode intensifikasi untuk menambah kepadatan ikan hias dengan nilai STAS sebesar 3,56., Ilmi Fish Farm is one of the ornamental fish business organizations in Bogor city. The operations are selling and rearing of ornamental fish. From IE matrix analysis, the position of Ilmi Fish Farm is in quadrant V which is to hold and maintain with market penetration and product development. From the results of the SWOT analysis, there are 4 alternative strategies; (1) Adding more ornamental fish commodities, (2) increase the quantity of assets to be used as a shelter (3) using the method of intensification to increase the density ratio of ornamental fish and (4) adding supplier of silk worms. Priority strategy that receiveded from QSPM is intensification method to increase the density ratio of ornamental fish with STAS value of 3.56.
Keyword: alternatif strategi, Ilmi Fish Farm, Matriks SWOT, prioritas strategi, QSPM, Matriks IE

Judul: Strategi Pengembangan Usaha Budidaya Ikan Hias Air Tawar Pada Kelompok Batara Mina Sejahtera di Kota Bogor
Abstrak: Ornamental fish is a fish that has a variety of shades and colorsthat of each type is different and having an his own appeal. The physical form of ornamental fish depends on type of fish, form of like an arrow and the flag. One group of ornamental fish farmers in Bogor is Batara Ornamental Fish Business Group located in Mina Prosperous Ciluar, Bogor City. Of eight ar freshwater ornamental fish farmers, Ornamental Fish Business Group Batara Mina Prosperity is a group of farmers who focus on seed production of freshwater fish Batara Mina Sejahtera Group Of Agriculture that have a variety problem in demand increase, minim capability a management, and competition is fierce. The purpose of this study is to vii formulate and prioritize the best strategy to Batara Mina Sejahtera Group Of Agriculture to expand its business. The results of the Internal Factor Evaluation and matrix External Factor Evaluation matrix of 2.730 and 3.098 puts the company in the quadrant II with the position growth strategy. Appropriate strategy for these positions are market penetration, market development, and product development. Strenght Weakness Oppotunity Treat analysis produced six alternative strategies that increase production, enhance fish spesies, increase financial, promotion, increase segment market, and conntrol increase production. The results of Quantitatif Strategic Planning Matrix determined that the most important strategies to be applied to Batara Mina Sejahtera Group Of Agriculture is in increase capital with a total value of 5.339 appeal.
Keyword: ornamental fish., strategy, QSP matrix, SWOT matrix, IE Matrix, EFE Matrix, Business development IFE Matrix

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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