Judul: Analisa kecukupan air dan kajian keragaan irigasi pada proyek rehabilitasi daerah irigasi Cisadane Empang
Abstrak: Indonesia adalah negara dengan jumlah penduduk terbanyak tingkat ke-5 di dunia, dengan laju pertumbuhan penduduk sebesar 2.11%. Diproyeksikan bahwa jumlah penduduk Indonesia pada tahun 1995 adalah sebesar 199.6 juta jiwa dengan jumlah permintaan bahan pangan pada akhir periode PELITA V sebesar 32.5 juta ton beras, 9.6 juta ton jaqung, 2.77 juta ton kedelai, 13.393 juta ton ubikayu, 2.303 juta ton kentanq dan 0.6 juta ton kacanq tanah.
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Judul: Analisis Tata Guna Lahan dan Kecukupan Irigasi di Desa Cihideung Udik dan Desa Cihideung Ilir, Lingkar Kampus IPB
Abstrak: Land and water are the most important elements that support agriculture. Land use is the way of planning land usage of certain area, by dividing it based on specific functions of settlement, paddy field, plantation, industry, etc. The purposes of this research are to identify land use and irrigation availability for planting, and to find out irrigation sufficiency in two villages around campus. Irrigation requirement for the both villages were sufficient. Although the agriculture area is wide, it was only used for planting of palawija. Based on the result of the both villages availability, the land can be planted with the pattern of paddy-paddy-palawija. Irrigation requirements were obtained using Cropwat. In Cihideung Udik Village, the irrigation requirement was 0.07751 l/s and the average daily debit was 22.36 l/s. In Cihideung Ilir Village, the values obtained were respectively 0.29313 l/s and 23.39 l/s. These values showed that both villages have sufficient water supply. The average daily debit were far bigger than the irrigation requirement. A change in land use was also discovered, from farming area to settlement. Total farming area in 2009 (village profile) was less than the one in 2008 (Bakosurtanal).
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Judul: Pengembangan Model Codebook untuk Identifikasi Chord Gitar
Abstrak: Acoustic guitar can produce sound waves with different types of tones. High-low tone is determined by the fundamental frequency of the sound wave. Human sense of hearing can distinguish high-and low tones, but can not know for sure what kind of tone is heard by him. This study developed a guitar chord recognition system. This study uses MFCC as feature extraction methods and the codebook as pattern recognition method for identification of the guitar chord. Cluster technique used in this study is the K-means clustering. Data obtained from MFCC are clustered using the K-Means method, and the model for classification is constructed using the codebook method. The parameters used in MFCC is the number of cepstral coefficients, overlap, and the time frame, while an important parameter in the K-Means is the number of clusters. This study uses 8640 guitar chord sounds from 24 classes. Each of the data is made up of two chords which will be tested. Simulation results show that the maximum accuracy obtained is 98.89% obtained on 26 cepstral coefficients, overlap 0.4, time frame is 30 ms, on 100 clusters.
Keyword: chord, codebook, k-means, mel frequency cepstral coefficients (MFCC)