Penerapan Data Sintetis dalam Simulasi Kinerja Mesin Pemipil Jagung

Abstract

Corn sheller machine simulation is a process of modeling the performance of corn sheller machines in a virtual environment using software. The purpose is to predict machine performance, test and improve machine design before mass production, and minimize development cost and time. This study conducted a simulation of corn sheller machine performance comparison using real and synthetic data, by simulating the input of 1000 kg of cobbed corn mass. Synthetic data was created using linear interpolation method using data from previous testing. The evaluation results show that synthetic data can be used as input data for simulation with sufficiently accurate results. The evaluation results show a Mean Absolute Error (MAE) value of 0.20, Mean Squared Error (MSE) value of 0.12, and Root Mean Squared Error (RMSE) value of 0.34 for net and damaged corn shelling results. However, the evaluation results for fuel consumption show an MAE value of 0.09, MSE value of 0.020, and RMSE value of 0.14. The evaluation also shows that the machine RPM affects the net and damaged corn shelling results, processing time, and fuel consumption.

Analysis of Digital Literacy Technology Design for the Department of Mechanical Engineering Based on a Website at Universitas Muhammadiyah Sumatera Barat

“…The design of a digital literacy based website aims to improve the understanding and knowledge of mechanical engineering students at Universitas Muhammadiyah Sumatera Barat, based on the results of a field survey conducted among mechanical engineering students at Universitas Muhammadiyah Sumatera Barat. The survey revealed that the students' level of understanding of digital literacy, especially in the field of mechanical engineering, is still minimal, including their knowledge of software or applications that can facilitate their research on their final project (thesis) [5]. This is reflected in the research results of the students who always refer to the research titles created by their previous seniors.…”

“…The application of digital computational technology in the field of mechanical engineering can improve production process efficiency, product quality, or energy efficiency [4]. By utilizing digital technology, product design can be created faster and more accurately, machine simulation can be conducted to evaluate machine performance before being implemented in production processes [5], [6] and data analysis can be performed to improve production process efficiency. However, student knowledge is still limited to previous research conducted by their peers, resulting in a lack of innovation and courage in choosing new research topics related to digitalization in the field of mechanical engineering [7].…”

“…The first topic is the use of software in mechanical engineering for 3D simulations such as Ansys, Solidworks, Catia, Autocad, Comsol Multiphysics, etc. [5]. This software allows mechanical engineering students at the University of Sumatra Barat to simulate and analyze virtually, test hypotheses, and evaluate the possible outcomes in the real-world application of mechanical engineering.…”