Control of DC Motor Using Integral State Feedback and Comparison with PID: Simulation and Arduino Implementation

The Direct Current (DC) motor is widely applied in various implementations. The main problem in the DC motor is controlling the angular speed on the specific reference. This research then proposed an integral state feedback design for tracking control in DC motor, with Simulink Matlab simulation and the Arduino hardware implementation. The results will be compared with the implementation of the PID controller. The integral state feedback controller can handle the system to reach the setpoint with good performance in the simulations, even with changing different poles and setpoints. In the hardware implementation, the current sensor (INA219) and encoder sensor are used since all state variables need to be calculated. Based on the result, the controller can reach the setpoint stably with oscillation. Similar results are showed in simulations with different setpoints. Compared with the PID Controller, the integral state feedback controller has a better response with faster rise time and faster settling time

Embedded Control System of DC Motor Using Microcontroller Arduino and PID Algorithm

The development of technology has a positive effect on the trade sector, creating smartphones that can be utilized in all activities combined with the internet network. Activity that is currently growing is a mobile trader in the city of Pekanbaru. This development caused much competition, for example, in the Pekanbaru city area, especially in Sialangmunggu village. Traders around is difficult to find consumers because consumers do not have precise location and time information. Therefore, researchers aim to design and build applications by utilizing the functions of google maps and GPS (Global Positioning System) where the Algorithm to be applied is the A* algorithm whose function is to find the nearest location between buyers to mobile merchants, to accommodate data from mobile merchants where buyers can know the nearest position of the traveling merchant. Process analysis will be divided into running analysis that discusses the workings of the process of mobile traders and buyers in the field. Then the proposed system analysis of the analysis will be made by the author to maximize the process on the current analysis. By making analysis and design, the author will know the needs needed in the creation of the system. The result of using method A* is applied to displaying the merchant's route with the user, and the result can provide the fastest route to get to the trader. The use of method A* is also done to find the trader whose location is closest to the user's location, and the result can display the nearest trader

PENGARUH DIVERSIFIKASI PENDAPATAN TERHADAP PROFITABILITAS DAN RISIKO BANK PADA BANK UMUM KONVENSIONAL DI INDONESIA SELAMA PANDEMI COVID-19

This study aims to analyze the influence between non-interest income and profitability of conventional commercial banks in Indonesia due to the COVID-19 pandemic and to analyze the influence between non-interest income and the risk of conventional commercial banks in Indonesia due to the COVID-19 pandemic. The population in this study are Conventional Commercial Bank companies in Indonesia during the period 2020 quarter I to quarter IV. Data analysis in this study used linear regression assisted by the SPSS program. In this study it is proven that non-interest income (Fee Based Income) has a positive effect on profitability as measured by Return on Asset and Return on Equity and non-interest income (Fee Based Income) has a negative effect on bank risk as measured by Standard Deviation of Return on Asset and Standard Deviation of Return on Equity.This study aims to analyze the influence between non-interest income and profitability of conventional commercial banks in Indonesia due to the COVID-19 pandemic and to analyze the influence between non-interest income and the risk of conventional commercial banks in Indonesia due to the COVID-19 pandemic. The population in this study are Conventional Commercial Bank companies in Indonesia during the period 2020 quarter I to quarter IV. Data analysis in this study used linear regression assisted by the SPSS program. In this study it is proven that non-interest income (Fee Based Income) has a positive effect on profitability as measured by Return on Asset and Return on Equity and non-interest income (Fee Based Income) has a negative effect on bank risk as measured by Standard Deviation of Return on Asset and Standard Deviation of Return on Equity