Judul: Pengaruh Pemberian Kitosan terhadap Kadar Trigliserida Darah & Berat Badan Tikus Sprague-dawley yang Diberi Pakan Asam Lemak Trans
Abstrak: This study was aimed to analyze chitosan intake on plasma triglyceride levels and body weight in rats Sprague-dawley fed by trans fatty acid. This study was experimental study with Post Test Only Control Group Design. The subjects were male Sprague-dawley rats, 2 months old. The subjects were divided in to 1 control (K) and 3 treatment groups which received chitosan as much as 0.035 g (P1), 0.045 g (P2), and 0.055 g (P3). Fed with high-fat diet was given by melted margarine as source of trans fatty acids as much as 1.7 g per day for 4 weeks. Measurement of triglyceride levels was done at second week dan fourth week after intervention and the body weight was weighed once per 3 days. The study revealed that feeding of margarine in a dose of 1.7 g per day increased body weight most high in K0 amount 32.1% or 63.8 g during 2 weeks and 54% or 107.2 g during 4 weeks intervention. The average of triglyceride levels K (254.3±49.0 mg/dL) and P1 (241.7±58.5 mg/dL) at second week. The average of triglyceride levels K (175.3±67.7 mg/dL) and P1 (181.3±40.1 mg/dL) at fourth week. Both of second and fourth week the average of triglyceride levels K and P1 were cathegorize in hypertriglyceridemia. Chitosan intake on fed inhibited increasing body weight on P2 (0.045 g) amount 53.4 g or 23.3% during 2 weeks and 63.6 g or 27.8% during 4 weeks. Chitosan intake 0.045 g on P2 decreased triglyceride levels (128.3±14.3 mg/dL) significantly than K (p=0.009) at second week. Thus, there were an opotimum dose of chitosan influence body weight and trigliceride levels.
Keyword: trans fatty acids and triglyceride, chitosan, body weight, Bogor Agricultural University (IPB)

Judul: Pengaruh Pemberian Kitosan dan Nanokitosan dari Cangkang Rajungan (Portunus pelagicus) terhadap Kadar Trigliserida Tikus Sprague-dawley
Abstrak: Hipertrigliseridemia adalah salah satu kelainan metabolisme lipid yang ditandai dengan peningkatan fraksi lipid dalam plasma. Kitosan mampu menyerap lemak sehingga mampu menurunkan kadar lipid. Tujuan penelitian ini adalah membandingkan pengaruh pemberian kitosan dan nanokitosan terhadap kadar trigliserida tikus Sprague-dawley. Penelitian ini dilakukan beberapa tahap, yaitu karakterisasi kitosan, pembuatan nanokitosan, serta uji in vivo kadar trigliserida. Hasil PSA yang dilakukan sebanyak 3 ulangan menghasilkan rata-rata distribusi ukuran partikel sebesar 234,09±31,25 nm. Viskositas intrinsik dan berat molekul kitosan berturut-turut yaitu 26,16±1,03 cP dan 2586,24±186,00 kDa, sedangkan nanokitosan yaitu 0,38±0,09 cP dan 9,84±3,17 kDa. Nanokitosan dosis 200 mg/kg bb/hari dapat menurunkan kadar trigliserida sebesar 63,33±32,58 mg/dL atau 50,94±48,79% dari 124,33±46,11 mg/dL menjadi 61,00±18,03 mg/dL…
Keyword: Chitosan, Nanochitosan, Triglycerides, Sprague-dawley, Crab shell, Fraksi lipid, Molekul kotosan, Rats, Lipid metabolism

Judul: Klasifikasi genre musik menggunakan Learning Vector Quantization (LVQ)
Abstrak: Radio stations and music television have a milion of music tapes. A lot of musical genres create a problem when people wants to determine the right genre of a new kind of music. To classify the musical genre is not an easy task, because the musical genre is really difficult to standardization. Automatic musical genre classification can assist the human role in that process and help people to searching for the song acording to the genre that people want. This research using Mel Frequency Coefficient Cepstrum (MFCC) to obtain feature extraction. Learning Vector Quantization (LVQ), one kind of artificial neural network used for classification method. The number of genres that are used were four kind of musical genre, that is rock, classic, keroncong, and jazz with four different duration that is 5 second, 10 second, 20 second and 25 second. This research using k- fold cross validation to distribute dataset for training and testing set with the number of folds as much as 2 until 10 fold. This research succesfully implemented MFCC feature exraction and classification using LVQ. Based on this research, the accuracy of the classification using Learning Vector Quantization reaches 93,75% for the four type musical genre. The highest accuracy value was obtain from the experiments with a duration of 10 second and the number of fold 4. Training time for each duration is 30 minute for 5 second music duration, 45 minute for 10 second music duration 120 minute for 20 second music duration and 150 minute for 25 second music duration.
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