Judul: Sifat Mekanis Polipaduan Polistirena-Pati Menggunakan Zat Pemlastis Epoksida Minyak Jarak Pagar
Abstrak: Polyblend is a physical mix between two or more polymers resulting in different properties to get degradable polymer and better mechanical properties. Starch is degradable polymer, but polystyrene is synthetic polymer which is difficult to degrade. Polyblend polystyrene-starch will make the polymer easily to degrade but low mechanical properties. To increase the mechanical properties of polyblend, the plasticizers is needed. The plasticizers in this experiment was epoxide of jathropha oil. The polyblend of polystyrene-starch was prepared with various compositions, i.e. 0; 2.5; 5.0; 7.5; and 10.0%. The density of the polyblend decreased with the addition of the plasticizers. The reduction of density shown that jathropha oil epoxides can be used as plasticizers. The mechanical properties showed that the additions of plasticizer could increase the elongation and reduce the tensile strength. Thermal analysis using differential scanning calorymetry showed that glass transition temperature decreased from 95.37 ºC to 91.79 ºC.
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Judul: Characterization and Biodegradation of Polyblend (Styrofoam-Starch) with Polylactid acid (PLA) as Biocompatizer.
Abstrak: Styrofoam is a kind of polystyrene which can not be naturally decomposed. The increasing amount of using styrofoam causes environment pollution. In facing this problem, modification of recyclable styrofoam is needed to produce degradable plastic. Starch can be a solution because it is a polymer that can be biologically decomposed. The mixture of starch to the styrofoam composite creates biodegradable plastic. Unfortunately, various polarity of styrofoam and starch is difficult to mixed homogenously, so we need polylactic acid (PLA) as the biocompatizer. Styrofoam and starch of four different concentrations of PLA, 5, 10, 15, and 20%. Film with the highest homogeneity was given by 80:20 concentration of styrofoam and starch combination with 20 % of PLA addition. The more PLA, the more homogenous of film we got. Film with the highest homogeneity produced substantial weight reduction which about 10%. The film that has been produced was amorphous since it had wide melting point, 155 °C to 185 °C. Infrared spectrum film showed the existence of C-O ester on 1184 cm-1 region. Ester functional group indicated that the film could be biodegraded. The infrared spectrum of the film did not show new functional groups, so we concluded that the film was a product of physical mixture between styrofoam and starch.
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Judul: Quantum Convolutional Neural Network (QCNN) for Classification Brain Tumor MRI Image
Abstrak: Penelitian ini bertujuan untuk mengembangkan model deteksi tumor otak menggunakan citra MRI dengan metode Quantum Convolutional Neural Network. Data yang digunakan adalah citra MRI otak yang terdiri dari citra tumor otak glioma, meningioma, hipofisis, dan negatif tumor yang dibagi kedalam data latih dan uji dengan rasio 80:20. Selanjutnya data latih dilakukan penyeimbangan dengan teknik oversampling. Dilakukan pengembangan model untuk mendeteksi tumor otak (biner), dan juga model untuk mengklasifikasikan jenis tumor otak (multiclass). Parameter yang digunakan dalam pengembangan model adalah jumlah ukuran filer = 2 dan kedalaman = 4, dengan qubit 4, dan dilatih dengan jumlah epoch sebanyak 10. Data akan diproses dengan metode Quantum Convolutional Neural Network yang terdiri dari lapisan quantum convolution, lapisan flatten, dan lapisan dense. Model multiclass mendapatkan akurasi 52%, setelah data latih diseimbangkan akurasi model meningkat menjadi 62%, sedangkan model biner mendapatkan akurasi 88%, setelah data latih diseimbangkan akurasi model meningkat menjadi 89%.
Keyword: Citra MRI, Klasifikasi Citra, QCNN, Tumor Otak