Implementation Model Linear Regression, Neural Network and Support Vector Machine in Simple Mathematical Pendulum Experiments to Determine the Value of Gravity
Irfan Syafar Farouk1, Mustafa Mamat2, W. S Mada Sanjaya3, Wahid Abdurahman4, Hani Rubiani5, Mohamad Afendee Mohamed6
1Irfan Syafar Farouk, Department of Informatic and Computation, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
2Mustafa Mamat, Faculty of Informatic and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
3Mada Sanjaya WS, Department of Physics, UIN Sunan Gunung Djati Bandung, Indonesia.
4Wahid Abdurrahman, Department of Physics, UIN Sunan Gunung Djati Bandung, Indonesia.
5Hani Rubiani, Department of Electrical Engineering, Universitas Muhammadiyah Tasikmalaya, Indonesia.
6Mohamad Afendee Mohamed, Faculty of Informatic and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
Manuscript received on 03 August 2019 | Revised Manuscript received on 26 August 2019 | Manuscript Published on 05 September 2019 | PP: 268-272 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B10570782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1057.0782S719
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine in mathematical pendulum experiments to find the value of gravity. There were 4 data obtained from mathematical pendulum experiments which were then interpolated to obtain more data (13 data), then the data was used as training data for each model. Each model is tested to get a gravity value of 26 including training data, then compared with reference gravity values [17,18,19]. The results of the model Neural network proved to be the most accurate with an error value of 2.53%. The support vector machine model is the most accurate model with a standard deviation value of 0.03 and the error deviation of 0.058 is the smallest value of the three models in this paper.
Keywords: Comparison, Linear Regression, Neural Network, Support Vector Machine, Mathematical Pendulum Experiment and Value of Gravity.
Scope of the Article: Machine Learning