<p>Cardiac wall motions classification on 2-dimensional (2D) echocardiographic images is an important issue for quantitative diagnosiing of heart disease. Unfortunately, the bad quality of echocardiogram cause computationally classification on cardiac wall motions is still become a big homework for many researchers to provide the best result. Echocardiogram is produced by soundwaves which absolutely make its images have speckle noise in different intensity. Therefore, this research improves a set of methodology to classify cardiac wall motion semi-automatically. Raw echocardiogram will be enhanced and segmented to take the boundary of endocardium of left ventricular in PSAX cardiac images. New improvement of Semi-automatically methodology is approach on detecting the contour of endocardium and will be inputed as good features in Lucas-Kanade Optical Flow in all sequential echocargraphic images. On classifying cardiac wall motions, this research proposes two important features including length of displacement and flow direction. New proprosed flow determination algorithm and Euclidean distance is used to calculate those features. All the features will be trained by Neural Network (NN) and validated by Leave One Out (LOO) to get accurate result. NN method, which is validated by LOO, has the best result of 81.82% correctness than the other compared methods.</p>
ABSTRAK The background of this research is the importences of the school to know students honesty degree.
The purpose of this study is to describe the shift process which is caused by applying certain translation techniques. The techniques are modulation, transposition, implication, and reduction by Molina and Albir (2002). The research used descriptive qualitative-quantitative method by applying purposive sampling technique. The source of the data was the text of Obama’s and Trump’s inauguration speech and their respective translations. There were 152 data in each inauguration speech. The data were the clause which contains the process type which is realized in verbal group in English and its translation. Based on the total of research data, 10 data or 6.57 % in Obama’s inauguration speech and 7 data or 4.60 % in Trump’s inauguration speech was obtained. The obtained data was changing or shifting in process type from the original text into the target text (Indonesian). So, the result of the research supports the theory that modulation, implication, explication, and reduction can cause the shift, especially in verbal group.
Penelitian ini bertujuan untuk mengetahui efektivitas penggunaan media realia terhadap hasil belajar IPA di sekolah dasar. Penelitian dilakukan dengan menggunakan metode kuasi eksperimen dengan non equivalent control group design, yaitu dengan melihat perbedaan pre-test maupun post-test antara kelas eksperimen dan kelas kontrol. Subjek penelitian adalah peserta didik di kelas IV SDN 2 Pringsewu Timur dengan kelas IV A sebagai kelas eksperimen dan kelas IV B sebagai kelas kontrol yang dipilih dengan teknik cluster random sampling. Analisis data dilakukan melalui uji-t, yang sebelumnya dilakukan uji prasyarat normalitas dan homogenitas. Hasil penelitian menunjukkan bahwa terdapat perbedaan hasil belajar yang signifikan antara kelas eksperimen dan kontrol (tingkat signifikansi p=0,006). Dengan demikian dapat disimpulkan bahwa penggunaan media realia efektif untuk meningkatkan hasil belajar IPA peserta didik kelas IV SDN 2 Pringsewu Timur.
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