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All Journal Erudio: Journal of Educational Innovation Indonesian Journal of Electrical Engineering and Computer Science
Mochammad Agus Choiron
Brawijaya University
Education

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EVALUATION OF THE COURSE ON FINITE ELEMENT METHOD WITH ANSYS APPLICATION SOFTWARE FOR IMPROVING MECHANICAL ENGINEERING STUDENTS’ PROBLEM-SOLVING SKILLS Mochammad Agus Choiron; Avita Ayu Permanasari; Nafisah Arina Hidayati
Erudio Journal of Educational Innovation Vol 5, No 1 (2018): Erudio Journal of Educational Innovation
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1058.919 KB) | DOI: 10.18551/erudio.5-1.16

Abstract

In the previous study, learning process by using relevant software with the course had been developed in the statistic course and mechanical drawing course. This study aimed at investigating the effectiveness of using ANSYS software as a tool to help students fulfil the objectives and competencies of Finite Element Method course. The questionnaire consisting of three simple questions to elicit information about lecturer and course evaluation, level of satisfaction and suggestions for course development. The 60 respondents were taken randomly from two Finite Element course classrooms. The evaluation result showed that 60% students could understand the Finite Element Method lesson better with the assistance of ANSYS, 26% said that there was no significant difference with the previous learning methods, 14 % stated that the method used in the previous learning process was better. Regarding sustaining the use of ANSYS application in the learning process, 89% students agreed to continue since they argued that it could improve their problem-solving skills as essential skills to succeed in the industrial job market.
Implementation of Stereo Vision Semi-Global Block Matching Methods for Distance Measurement Raden Arief Setyawan; Rudy Sunoko; Mochammad Agus Choiron; Panca Mudji Rahardjo
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp585-591

Abstract

Stereo vision has become an attractive topic research in the last decades. Many implementations such as the autonomous car, 3D movie, 3D object generation, are produced using this technique. The advantages of using two cameras in stereo vision are the disparity map between images. Disparity map will produce distance estimation of the object. Distance measurement is a crucial parameter for an autonomous car. The distance between corresponding points between the left and right images must be precisely measured to get an accurate distance. One of the most challenging in stereo vision is to find corresponding points between left and right images (stereo matching). This paper proposed distance measurement using stereo vision using Semi-Global Block Matching algorithm for stereo matching purpose. The object is captured using a calibrated stereo camera. The images pair then optimized using WLS Filter to reduce noises. The implementation results of this algorithm are furthermore converted to a metric unit for distance measurement. The result shows that the stereo vision distance measurement using Semi-Global Block Matching gives a good result. The obtained best result of this work contains error of less than 1% for 1m distance
Co-Authors Avita Ayu Permanasari Nafisah Arina Hidayati Panca Mudji Rahardjo Raden Arief Setyawan Rudy Sunoko