2 research outputs found
Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
No full textPredicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information. we implement a Support Vector Machine (SVM) to predict electrical loads and results compared to measurable electrical loads. Laboratory electrical loads have their own characteristics when compared to residential, commercial, or industrial, we use electrical load data in energy management laboratories to be used to be predicted. C and Gamma as searchable parameters use GridSearchCV to get optimal SVM input parameters. Our prediction data is compared to measurement data and is searched for accuracy based on RMSE (Root Square Mean Error), MAE (Mean Absolute Error) and MSE (Mean Squared Error) values. Based on this we get the optimal parameter values C 1e6 and Gamma 2.97e-07, with the result RSME (Root Square Mean Error) ; 0.37, MAE (meaning absolute error); 0.21 and MSE (Mean Squared Error); 0.14
WORKSHOP ARDUINO UNTUK MENUNJANG PEMBELAJARAN STEM UNTUK GURU IPA SMP
No full textAbstrak: Dengan pesatnya kemajuan di bidang teknologi, dunia pendidikan turut berkembang dengan menerapkan teknologi informasi untuk memberikan pembelajaran yang kreatif dan inovatif. Salah satu model pembelajaran yang diterapkan adalah STEM (Science, Technology, Engineering and Mathematics) yang mendorong siswa berpikir kreatif dalam memecahkan setiap masalah. Untuk dapat menerapkan model pembelajaran STEM, para guru dituntut untuk dapat memahami konsep STEM dan mengaplikasikan teknologi ke dalam pembelajaran. Guru-guru IPA SMP di Kabupaten Bandung Barat mengalami kesulitan mempelajari teknologi robotika, IoT (Internet of Things), dan sistem tertanam. Kegiatan workshop dilaksanakan dengan tujuan meningkatkan pemahaman para guru terhadap konsep STEM dan mengaplikasikan teknologi dalam pembelajaran. Kegiatan workshop diselenggarakan selama satu hari penuh bagi 20 guru IPA dengan metode presentasi, demo dan pelatihan untuk menggunakan perangkat robotika dan IoT menggunakan Arduino. Workshop meliputi pengenalan konsep mikrokontroler, sensor dan aktuator, serta pemrograman Arduino. Setelah mengikuti kegiatan workshop, 80 % peserta memahami penggunaan perangkat Arduino untuk mendukung pembelajaran STEM.Abstract: With the rapid advances in technology, the world of education is evolving by implementing information technology to serve more creative and innovative learning. One of the learning models implemented is STEM (Science, Technology, Engineering and Mathematics) which encourages students to think creatively in problem solving. To be able to apply STEM learning model, teachers are required to understand the concept of STEM and implement technology to the learning process. The middle school science teacher in Kabupaten Bandung Barat experience difficulties in learning technology such as robotics, IoT (Internet of Things), and embedded system. The workshop aims to increase the teachers’ understanding of STEM concept and to apply technology to the learning process.The workshop is held for one full day for 20 science teachers which includes presentation, demo and training to use the robotic device and IoT using Arduino. The workshop includes introduction of microcontroller, sensors and actuators, and Arduino programming. After workshop, 80 % of participants understand the use of Arduino for learning STEM
