Judul: Uji Kualitas Fisik Pellet Berbasis Jerami Jagung Sebagai Pakan Sumber Serat untuk Ternak Ruminansia
Abstrak: Pemanfaatan produk samping (by product) tanaman jagung seperti jerami jagung yang tersedia secara melimpah dapat menjadi alternatif bahan baku pakan pengganti hijauan yang ketersediaannya saat ini sudah semakin terbatas. Namun, jerami jagung memiliki keterbatasan yaitu, kandungan zat makanan yang rendah, kecernaan yang rendah serta bersifat bulky (voluminous) sehingga tidak efisien jika diangkut ke daerah lain. Untuk meningkatkan nilai zat makanan jerami jagung tersebut dapat dicampur dengan bahan pakan lain sebagai sumber protein dan energi seperti leguminosa dan jagung. Salah satu leguminosa yang memiliki kandungan protein yang tinggi dan memiliki produksi tinggi adalah legum Indigofera sp. selain lebih efisien, pellet lebih mudah dalam penanganan (handling) dan transportasi. Untuk menghasilkan pakan bentuk pellet, maka kajian tentang sifat-sifat fisik bahan sangat diperlukan seperti kerapatan tumpukan, kerapatan pemadatan tumpukan, berat jenis, sudut tumpukan, dan laju alir. Sementara itu, untuk mengevaluasi kualitas fisik pellet dapat diukur dari pellet durability index (PDI). Penelitian ini bertujuan untuk mengetahui sifat fisik bahan baku pellet dan mengetahui pengaruh komposisi bahan baku pellet dan ukuran die terhadap kualitas fisik pellet. Penelitian ini menggunakan rancangan acak lengkap faktorial dengan model 4 x 2 dengan 3 ulangan. Faktor A merupakan komposisi bahan pellet dengan perlakuan A1 (100% jerami jagung), A2 ( 75% jerami jagung + 20% Indigofera Sp. + 5 % jagung giling), A3 ( 75% jerami jagung + 15% Indigofera Sp. + 10 % jagung giling), A4 ( 75% jerami jagung + 10% Indigofera Sp. + 15 % jagung giling), dan faktor B adalah ukuran die yaitu 5 dan 8 mm. Peubah yang diamati adalah kerapatan tumpukan, kerapatan pemadatan tumpukan, berat jenis, sudut tumpukan, laju alir, dan pellet durability index (PDI). Data analisa menggunakan ANOVA, apabila terdapat perbedaan yang nyata akan dilanjutkan menggunakan uji Duncan (Steel dan Torrie, 1993).
Keyword: corn plant by product, lignoselulose by product, processing technology, Completely Randomized Design with factorial, bulk density, specific density, specific density, specific density, pellet durability index

Judul: Pengaruh diameter pelet dan lama penyimpanan terhadap kualitas fisik pelet daun legum Indigofera sp.
Abstrak: The experiment investigated the effect of different pellet diameter and time of storage on physical properties of pelleted Indigofera-leaves. This study consisted of two experiment; the first experiment was investigation of the die size (die 3, 5 and 8 mm) effects on physical properties using a Completely Randomized Design (CRD) with 3. The second experiment was the effect of storage quality on physical quality of pellets of the Indigofera-leaves. A factorial Completely Randomized Design (CRD) was applied with 3 replications, the first factor was die diameter consisting of 3, 5 and 8 mm and the second factor was the storage time (0, 7, 15, 30 and 60 days). The Observed physical properties of the tested pellets were water content, specific gravity, bulk density, compacted bulk density, respone of angle and pellet durability index (PDI), water activity and organoleptic test. The result of this experiment indicates that specific gravity, bulk density, and compacted bulk density of pellet higher than Indigofera leaves powder so that is more efficient for conveying and storing. The diameter difference of pellet did not have much influence on physical pellet quality which can‟t be broken easily. Leaves pellet of Indigofera sp. stored up to sixty days showed the result constantly so pellet can be stored in a long time.
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Judul: Implementasi hidden markov model untuk aplikasi pengenalan ucapan sebagai kendali gerak robot mobil
Abstrak: Robot is an electronic or mechanical equipment capable of performing a series of actions automatically. In the world of robotics, control systems is a very important part that serves to control the movement or navigation in a robot. Sound based mobile control system is an alternative voice control that is quite efficient. However, voice recognition process is not easily done by a machine. It needs a machine learning method that can be used to perform the voice feature extraction by studying the characteristics of a previous vote. This study uses Mel-Frequency Cepstral Coefficient (MFCC) to extract speech signal and HMM (Hidden Markov Model) for modeling the speech signal. Result of the experiment from the whole system performance speech recognition is 96,4% for people that have been inputted in the database, and 91,2% for people which have not been inputted in database. The mobile robot system test results showed that the system has worked well and has an average response time to move after the speech recognition process around 0,46 seconds.
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