UNIVERSITAS BINA DARMA, UNIVERSITAS BINA DARMA (2022) Prediction of Understanding of Students Under Course Lecturer Professional Use Neural Network Backpropogation. Prediction of Understanding of Students Under Course Lecturer Professional Use Neural Network Backpropogation.
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Abstract
he process of learning is one of the activities in a college / institution in the in�tellectual life of the nation. That role is inseparable from professional teachers. In the process of learning the necessity of a two-way relationship between students and professional teachers. This meant that there was good cooperation during the learn�ing process takes place. Evaluations are conducted by the university / institution for teaching and learning process is necessary to end the semester. It is intended that there is an assessment of the students and faculty. For these students aimed at assessing the level of understanding and acceptance of the subjects taught and the teachers in order to assess the extent to which teachers can distribute knowledge on subjects that for 1 (one) semester. So that the university / institution can provide a fair decision. In prediction level of students’ understanding of the course to im�plement Neural Network using backpropagation algorithm. This method was chosen because it is able to determine the level of students’ understanding of the course is based on input from questionnaires given. The study was conducted in two ways, namely training and testing. Data will be divided into two parts, the first data for the training process and second data for the testing process. The training process aims to identify or search for goals that are expected to use a lot of patterns, which a will be able to produce the best patterns to train the data. After reaching the goal of training is based on the best pattern will be tested with new data to look at the accuracy of the target by using Matlab 6.1. Based on test results using Matlab 6.1 software can speed up the process of predicting students’ understanding of the course is based on faculty at the University Pembangunan Pancabudi of Medan.
| Item Type: | Article |
|---|---|
| Subjects: | H Social Sciences > H Social Sciences (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment |
| Depositing User: | Mr Edi Surya Negara |
| Date Deposited: | 05 Jul 2022 05:56 |
| Last Modified: | 05 Jul 2022 05:56 |
| URI: | http://eprints.binadarma.ac.id/id/eprint/17253 |
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