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: Efek Kitosan Dan Nanokitosan Dari Karapas Udang Dalam Mereduksi Kadar Trigliserida Tikus Sprague-Dawley
Abstrak: Kitosan merupakan suatu produk hasil deasetilasi kitin yang dapat digunakan untuk mereduksi kadar trigliserida. Kitosan nanopartikel memiliki ukuran yang lebih kecil, sehingga lebih efektif dalam mereduksi kadar trigliserida. Tujuan dari penelitian ini adalah untuk menentukan karakteristik kitosan dan mempelajari pengaruh kitosan, nanokitosan dan dosisnya dalam mereduksi kadar trigliserida tikus yang diberi diet pakan tinggi lemak. Hewan percobaan yang digunakan adalah tikus Sprague-dawley. Hewan percobaan dikelompokkan dalam enam perlakuan, yaitu kontrol negatif, kontrol positif, perlakuan yang diberikan kitosan dan nanokitosan dengan dosis berturut-turut 225 mg/kg bb dan dosis 450 mg/kg bb. Pengukuran kadar trigliserida dilakukan dengan menggunakan metode kolorimetri enzimatik-gliserol-3-fosfat oksidase. Pengukuran kadar trigliserida dilakukan setelah masa adaptasi, setelah pemberian pakan tinggi lemak dan setelah masa perlakuan. Penimbangan berat badan tikus dilakukan setiap satu minggu. Hasil penelitian menunjukkan bahwa kadar trigliserida dan berat badan tikus mengalami peningkatan setelah pemberian pakan tinggi lemak selama dua minggu. Pemberian kitosan dan nanokitosan selama dua minggu dapat menurunkan kadar trigliserida tikus. Perlakuan pemberian nanokitosan dengan dosis 450 mg/kg bb (NK2) mampu menurunkan kadar trigliserida tikus dengan persen penurunan paling tinggi daripada perlakuan K1, K2 dan NK1, yaitu sebesar 23,42 % dari 111,00 ± 13,29 menjadi 85,00 ± 32,93 mg/dL.
Keyword: Kitosan, dosis, nanokitosan, Sprague-dawley, trigliserida

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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