Judul: Pengembangan ternak kerbau di Daerah Padang Bolak Kabupaten Tapanuli Selatan, Sumatera Utara
Abstrak: Penulisan ini bertujuan untuk memberikan gambמזינ dan informasi tentangerkembangan usaha peternakan di Padang Bolak, Tapanuli Selatan dengan bantuan Bank Pembangunan Asia. Disamping peninjauan lapangan dan wwoncara langsung dengan petani peternak di 20 Desa, untuk pembangunan peternakan, tulisan ini memuat data sekunder dari Dinas Peternakan dan Balai Pnyidik Penyakit Hewan (BPPH) Wilayah I Medan, Sumatera Utara. PR Penelitian atau tulisan-tulisan yang mendasar tentang ternak kerbau, bak dari segi tatalaksana pemelihraan, pengawasan dan penanganan penyakit maupun aspek reproduksinya dan lain-lain yang menyangkuti peningkatan pembangunan ternak masih sangat minim, Refleksi dari kenyataan di lapangan yang tertuang dalam tulisan diharapkan mampu memperkaya ketersediaan informasi. Dibandingkan dengan ternak sapi, umuanya ternak kerbau masih memberikan populasi dan hasil-hasil produksi ternak yang relatif rendah. Sedangkan harga dagin kerbau murni dibandin kon dengan harga daging sapi murni tidak jauh berbeda di Sumatera Utara. ...
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Judul: Produktivitas, Potensi dan Strategi Pengembangan Kerbau Belang di Kecamatan Sanggalangi’, Kabupaten Toraja Utara, Sulawesi Selatan
Abstrak: Spotted buffaloes (Tedong Bonga) is one of local livestock that has the highest value in Torajan’s culture. Population of Torajan's spotted buffalo has been decreasing since several years ago. The aim of this research was to analyze the productivity and reproductivity performances of Torajan’s spotted buffalo. Secondly, to analyze how the potency and development strategy of Torajan's spotted buffalo in Sanggalangi subdistrict, North Toraja. This research was conducted from July to September 2010 in the Sanggalangi’ subdistrict, North Toraja District, South Sulawesi. This research used sampling method were purposive sampling method for subdistrict samples and farmers samples ( 90 farmers). Two kinds of data were obtained in this research. The primary data was collected from the farmers by interview using questioner and observation. The secondary data was collected from North Toraja Livestock and Fishing Departement, Central Statistics Departement, Agricultural Departement and Subdistrict Departement. Data collected were analyzed with descriptive analysis, reproduction characteristic analysis, dynamics of buffalo population analysis, Capacity of Additional Ruminant Population (CARP) analysis, and SWOT (strength, weaknesses, opportunities, and threats) analysis. The result showed that as follow : the ratio between male and female was 1:3; first oestrus was at 2,48 years of age with the average duration of heat about 22,6 hours and the oestrous cycle about 18.5 days. The first conception occured at 2.87 years with the gestation period about 387,4 days. Birth rate and calf crop were relatively high: 89% and 77%. The difference of birth rate and calf crop caused mortality about 2,35%. Service per conception (S/C) was 1,85 time and conception rate was 86,5%. CARP estimation showed that Sanggalangi’ subdistrict’s CARP value was negative. The strategies formula of development spotted buffalo is turnaround strategies or stability of weaknesses and opportunities.
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Judul: Application of LVQ using K-means initializations for guitar tone chord recognition with MFCC feature extraction
Abstrak: Manusia dapat mengenali suara melalui proses yang dilakukan secara berulang-ulang. Namun, tidak banyak orang yang mampu mengenali suara chord gitar. Penelitian ini bertujuan untuk membuat suatu sistem pengenalan chord gitar menggunakan metode LVQ sebagai pengenalan pola dan MFCC sebagai ekstraksi ciri. Bobot awal yang digunakan pada metode LVQ diperoleh dengan menginisialisasi K-means. Data yang digunakan sebanyak 8640 data suara gitar dengan 24 jumlah chord. Masing-masing data terdiri atas 2 chord yang akan diuji secara terpisah. Parameter LVQ yang digunakan adalah learning rate 0.002, epoh 100, dan penurunan learning rate 0.9. Parameter yang digunakan dalam proses MFCC adalah time frame, overlap, jumlah koefisien cepstral dan jumlah cluster. Hasil percobaan menunjukkan bahwa akurasi maksimum yang diperoleh adalah 83.65% pada time frame 30 ms, overlap 0.4, koefisien cepstral 26, dan jumlah cluster 100., Humans can recognize the sound through a process that is done repeatedly. However, not many people are able to identify the sound of guitar chords. This study used LVQ as pattern recognition and MFCC as feature extraction. Initial weights were initialited by K-means clustering. A collection of 8640 sound data were used with 24 guitar chords. Each data consist of two chords that were tested separately. The parameters used in the process LVQ were 0.002 learning rate, 100 epoch, and 0.9 learning rate decrease. The parameters used in the process of MFCC were the time frame, overlap, the number of cepstral coefficient and the number of clusters. The experimental results showed that the maximum accuracy of 83.65% was obtained with 30 ms time frame, 0.4 overlap, 26 cepstral coefficients, and 100 clusters.
Keyword: chord gitar, Learning Vector Quantization (LVQ), Mel Frequency Cepstral Coefficients (MFCC)