The present study used Neural Network Backpropagation combined with Nguyen-Widrow to optimize the disadvantages of ANN causes, which is the difficulty in initializing initial weights. The test was conducted on a dataset of values in semesters 1 and 2. The test results show that the best performance in training model of artificial neural networks with Nguyen-widrow is the smallest average MSE error of 0.002 and the highest average accuracy of 96.38%. Training on artificial neural network model training data with Nguyen-widrow has the smallest MSE error, 0.000996 and the highest accuracy is 97.49% on architecture ANN 9-9.1 with training function parameters: traingdx, epoch: 1000, learning rate: 0.1, and error: 0.001. The best performance was also seen in testing the testing of artificial neural network models with Nguyen-widrow with the smallest average error-MSE of 0.026 and the highest average accuracy of 87.85%. Training data testing on artificial neural network models with Nguyen-widrow has the smallest error-MSE which is 0.004436 and the highest accuracy is 94.50% on architecture ANN 9-9.1 with training function parameters: traingdx, epoch: 1000, learning rate: 0.1, and error: 0.001. The artificial neural network model with Nguyen-widrow has an accuracy difference of 8.53% smaller than the artificial neural network model with an accuracy difference of 9.28%. It can be concluded that the Artificial Neural Network with Nguyen-Widrow can overcome the ANN problem in determining initial weights so that it gives an increase in the accuracy of the prediction of students’ competency selection better than the Artificial Neural Network without Nguyen-Widrow.
Abstrak Kemajuan teknologi di bidang kedokteran membuat citra medis seperti sinar-x disimpan dalam bentuk file digital. File citra medis berukuran relatif besar sehingga perlu dilakukan kompresi citra. Teknik kompresi lossless merupakan kompresi citra dimana hasil dekompresi sama dengan aslinya atau tidak ada informasi yang hilang dalam proses kompresi. Algoritma yang ada pada teknik kompresi lossless adalah Run Length Encoding (RLE), Huffman, dan Lempel Ziv Welch (LZW 12,26%, 96,94ms, 0,79%, 160ms, 0,3 dan 58,955db. Untuk hasil dari penilaian subjektif, para pakar berpendapat bahwa semua citra masih dapat dianalisa dengan baik. ratio, time, MSE and PSNR respectively 86,92%,3,11ms, 0 and 0db. For Huffman the results can be 12. 26%, 96.94ms, 0, 160ms, 0.3 Kata Kunci: citra medis, kompresi lossless, huffman, run length encoding, Lempel ziv welch Abstract Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large, so that the image needs to be compressed. The lossless compression technique is an image compression where the decompression results are the same as the original or no information lost in the compression process. The existing algorithms on lossless compression techniques are Run Length Encoding (RLE), Huffman, and Lempel Ziv Welch (LZW
ABSTRAKSI: Penelitian ini mendeskripsikan pengaruh interaktif antara model pembelajaran dan motivasi berprestasi terhadap prestasi belajar Fisika. Penelitian menggunakan kuasi eksperimen dengan desain pre-test dan post-test non-equivalent control group design. Populasi penelitian adalah siswa Kelas X MIPA SMAN (Matematika dan Ilmu Pengetahuan Alam, Sekolah Menengah Atas Negeri) 1 Kubutambahan di Bali, Indonesia, yang terdiri dari empat kelas atau 130 orang. Data dianalisis menggunakan analisis deskriptif dan analisis kovarian dua jalur. Hasil penelitian mengungkapkan bahwa prestasi belajar siswa diakibatkan oleh perbedaan model pembelajaran. Prestasi belajar yang lebih tinggi diraih oleh siswa yang menerima perlakuan model PBL (Problem Based Learning atau Pembelajaran Berbasis Masalah). Perbedaan prestasi belajar siswa juga diakibatkan oleh perbedaan motivasi berprestasi. Prestasi belajar yang lebih tinggi diraih oleh siswa yang memiliki MBT (Motivasi Berprestasi Tinggi). Akhirnya, ada pengaruh interaktif antara model pembelajaran dan motivasi berprestrasi terhadap prestasi belajar siswa. KATA KUNCI: Model Pembelajaran; Prestasi Belajar; Motivasi; Matapelajaran Fisika. ABSTRACT: “Effectiveness of the Problem Based Learning Model and Student Achievement Motivation in Gaining the Physics Learning Achievements”. The research describes the interactive influence between model of learning and achievement motivation toward Physics learning achievement. The research used a quasi experimental study with pre-test and post-test non-equivalent control group design. The population of this study were the students of Class X Mathematics and Sciences at the Public Senior High School 1 Kubutambahan in Bali, Indonesia, consisted of four classes or 130 people. Data were analyzed using descriptive analysis and two-ways analysis of covariance. The results of this study reveal that the student achievement is due to the differences in learning models. Higher learning achievement was achieved by students who received treatment of PBL (Problem Based Learning) model. The differences in student achievement are due to also the differences in achievement motivation. Higher achievement of learning achieved by students who have high achievement motivation. Lastly, there are the interactive influences between learning model and achievement motivation towards the student achievement.KEY WORD: Learning Model; Learning Achievement; Motivation; Physics Subject. About the Authors: I Made Yuda Suryawan, S.Pd. adalah Mahasiswa Jurusan Pendidikan Fisika FMIPA UNDIKSHA (Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pendidikan Ganesha) di Singaraja 81116, Bali, Indonesia. Prof. Dr. I Wayan Santyasa dan Dr. I Gede Aris Gunadi adalah Dosen di Jurusan Pendidikan Fisika FMIPA UNDIKSHA di Singaraja 81116, Bali, Indonesia. Untuk kepentingan akademik, alamat emel penulis adalah: suryawanyuda96@gmail.com, santyasa@yahoo.com, dan igagunadi@gmail.comSuggested Citation: Suryawan, I Made Yuda, I Wayan Santyasa I Gede Aris Gunadi. (2019). “Keefektifan Model Problem Based Learning dan Motivasi Berprestasi Siswa dalam Pencapaian Prestasi Belajar Fisika” in MIMBAR PENDIDIKAN: Jurnal Indonesia untuk Kajian Pendidikan, Volume 4(1), Maret, pp.35-54. Bandung, Indonesia: UPI [Indonesia University of Education] Press, ISSN 2527-3868 (print) and 2503-457X (online). Article Timeline: Accepted (November 10, 2018); Revised (January 15, 2019); and Published (March 30, 2019).
To produce competent and professional lecturers, of course, requires various efforts so that these goals are achieved, one of the efforts that can be made is through lecturer performance appraisal. At Tabanan University, lecturer performance assessment is carried out at the end of each semester, but in its implementation there are obstacles, namely: the results of the assessment are still not appropriate because they only assess education and learning criteria and and does not include any other defining criteria, besides that in Tabanan University, does not yet have a benchmark for determining lecturer performance. This has an impact on the decision-making process in evaluating and ranking lecturer performance. Therefore, to overcome these obstacles, a decision support system (DSS) is needed. The DSS was built using a combination of the Profile Matching and TOPSIS methods. The Profile Matching method is used in the weighting process and the calculation of the level of suitability of each alternative, while the TOPSIS method is for ranking calculations. The decision support system is built using four criteria that are taken from the employee performance targets.. These criteria are: Education and Teaching, Research, Community Service and Work Behavior.
As part of the Balinese culture in Indonesia, the Balinese script has rarely been used today. Its Balinese-to-Latin script transliteration knowledge is also affected by that condition and has caused concern over the threat of extinction. This study is aimed to preserve that knowledge through a technological approach by collaboration between Information Technology and Balinese Language discipline. This research analyzed the ubiquitous learning aspect of Balinese-to-Latin script transliteration as part of Balinese Language education, which is a mandatory local subject from basic to high school in Bali Province. This analysis was conducted on the Balinese Glyph Recognition (BalineseGR) web application that was developed as a technology product of Universitas Pendidikan Ganesha (Undiksha), Indonesia. Balinese is a sort of Optical Character Recognition (OCR) web application that receives a Balinese script image and outputs Latin text. It was considered as the first Balinese-to-Latin script transliteration web application using JavaScript for the algorithm. Recently, its initial development has covered transliteration knowledge of eighteen Balinese script's basic syllables (Akśara Wreşāstra) only. Since ubiquitous learning is supported by mobile computer through a wireless network, and it is aimed to provide learners with content and interaction anytime and anywhere, BalineseGR web application has several aspects to concern about (1) its counterpart mobile application development where image input not only from a file but also more useful directly from a camera, and (2) richer knowledge content, including a transliteration of the vowels (Akśara Suara), additional basic syllables (Akśara Şwalalita), sound killers (Pangangge Tengenan), numerals, punctuations, ligatures, and miscellaneous glyph.
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