Judul: Kajian Pustaka Penyalutan Komposit Hidroksiapatit-TiO2-Kitosan Pada Paduan Logam Stainless Steel Sebagai Material Implan Tulang
Abstrak: Logam stainless steel dalam dunia medis sudah banyak diaplikasikan sebagai material implan tulang, tetapi logam stainless steel tanpa penyalutan oleh biomaterial seperti hidroksiapatit (HAp) akan menimbulkan masalah karena rentan terhadap korosi. HAp juga perlu dikompositkan dengan kitosan dan TiO2 untuk meningkatkan kekuatan mekanik dan sifat antibakterinya agar proses implan tidak menimbulkan masalah seperti infeksi pascaoperasi. Kajian pustaka ini bertujuan mengevaluasi potensi logam stainless steel yang dilapisi komposit HAp-TiO2- kitosan menggunakan metode yang tepat agar memiliki sifat antibakteri dan ketahanan korosi yang baik sehingga dapat biokompatibel di dalam tubuh. Logam stainless steel yang disalutkan dengan komposit berpotensi memiliki sifat antibakteri karena terdapat TiO2 dan kitosan yang mampu menghambat bakteri. Selain itu, penambahan TiO2 dan kitosan dapat meningkatkan ketahanan korosi karena komposit yang tersalut akan membentuk ketebalan lapisan yang merata di permukaan logam. Metode elektroforesis deposisi adalah metode yang tepat dalam penyalutan ini karena menghasilkan lapisan dengan komposisi yang tepat dengan kekuatan adhesi yang baik serta ketebalan yang bervariasi., Stainless steel metal in the medical world has been widely applied as a bone implant material, but stainless steel metal without coating by biomaterials such as hydroxyapatite (HAp) will cause problems because it is susceptible to corrosion. HAp also needs to be composited with chitosan and TiO2 to increase its mechanical strength and antibacterial properties so that the implant process does not cause problems such as postoperative infection. This literature review aims to evaluate the potential of stainless steel coated with HAp-TiO2-chitosan composite using the suitable method to have good antibacterial and corrosion resistance properties to be biocompatible in the body. Stainless steel metal coated with the composite has the potential to have antibacterial properties because there is TiO2 and chitosan which can inhibit bacteria. In addition, the addition of TiO2 and chitosan can improve corrosion resistance because the coated composite will form an even layer thickness on the metal surface. The deposition electrophoresis method is suitable for coating because it produces a layer of the right composition with good adhesion strength and varying thickness.
Keyword: biocompatibility, chitosan, hydroxyapatite, stainless steel, TiO2

Judul: Pelapisan komposit hidroksiapatit-kitosan pada logam stainless steel 316 untuk meningkatkan ketahanan korosi
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
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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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