Face image recognition has been widely used and implemented in many aspects of life, such as in the field of investigation or security. However, research in this area is still rarely done. Source images in this paper are taken directly from 41 students with a total of 131 faces in JPG format, each with a dimension of 256×256. By applying Discrete Wavelet Transform and Discrete Cosine Transform, an image can be represented as a number of DCT coefficients efficiently. Recognition process is done using Radial Basis Function Neural network. The experiment results show that the best configuration for RBF is 8×41×41 with recognition rate of student faces is 100% and 98% of the sample face images are identified perfectly. Index Terms-discrete wavelet transform, discrete cosine transform, radial basis function neural network
Abstract. Optical Mark Recognition (OMR) is often used by teachers to help mark students' test in the form of multiple-choice test. This article describes how to build an offline OMR system which run in Android based smartphone. The input is the digital image of student's answer sheet which was taken from smartphone's camera. The system implements image processing techniques to detect and determine not only student's handwritten for his/her ID, name, and form's ID, but also for the answer of each test number. Gradient feature is used as features for the handwritten parts, while pixel density and area are used for the marked parts. Radial Basis Function Neural Network (RBFNN) is implemented to recognize of the students' handwriting. The experiment result shows that the system has successfully identified the answers with 99.69% success rates, but only has 82.28% and 72.25% success rates for digits and uppercase letters recognition respectively.
High quality online learning continued to be pursued to provide good mastery of concept and to encourage student activities to learn. One way to achieve this is by providing exercises of type Higher Order Thinking skills (HOTs) for students. This research was conducted on grade IX students at a private school in Bekasi on magnetism subject. The type of this research is Quasi-Experimental research with Pretest-Posttest Only Control Group Design. The dependent variables in this research are mastery of concepts and students’ learning activities. F-test and t-test were used to obtain conclusions on the effect of HOTs type questions on the dependent variables. The students were divided into two groups, which are control and experimental group. Control group was given non-HOTs type exercises, while experimental group was given HOTs type exercises. The results from the data analysis show that the mastery of concepts and learning activities from the experimental group were higher compared to the control group.
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