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INDONESIA
Signal and Image Processing Letters
Published by Association For Scientific Computing Electrical and Engineering
ISSN : 27146669     EISSN : 27146677     DOI : 10.31763/simple
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
The journal invites original, significant, and rigorous inquiry into all subjects within or across disciplines related to signal processing and image processing. It encourages debate and cross-disciplinary exchange across a broad range of approaches.
Arjuna Subject : Ilmu Komputer (semua kategori) - Pemrosesan Sinyal
Articles 5 Documents
 1 
Search results for , issue "Vol 3, No 3 (2021)" : 5 Documents clear
Monitoring and Power Control on Solar Panels Based on the Internet of Things (IoT) Binnerianto, Binnerianto; Ma’arif, Alfian; Iswanto, Iswanto
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i3.71

Abstract

Indonesia is a tropical country. Therefore, to utilize abundant solar energy, solar power plants or solar power are made. This research aims to make it easier to monitor the voltage of solar panels and batteries through the Blynk application and Google spreadsheets, as well as automatic power controllers. The tools used in this study are Arduino Uno, MCU ESP8266 node, voltage sensors, relays, solar charge controllers, inverters, batteries, and solar panels. The monitoring and power control tool in this study works at voltages of 12VDC, 5VDC, and 220VAC. Solar panel and battery voltage measurement results are automatically updated in the Blynk app and Google sheets. In the Blynk app the data is updated every 6 seconds, but in Google sheets the data is updated every 1 minute. The average voltage sensor readings per day of solar panels and batteries are 13.011V and 12.969V, with the average error percentage of solar panel voltage is 0.13875% and on batteries is 0.0059%.
Direct Current Processing in DC Motor Using Arduino and Peak Value Method Ma'arif, Alfian; Sari, Nurjanah Arvika; Prasetya, Wahyu Latri; Feter, Muslih Rayullan; Saputra, Dodi; Setiawan, Muhammad Haryo
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i3.79

Abstract

The research proposes about monitoring current of Direct Current (DC) Motor using microcontroller, current sensor and peak value method. The device is Arduino Uno R3 microcontroller, current sensor INA 219, motor driver L298, DC motor JGA25-370 and computer. The algorithm detects the inrush of the DC Motor Current. In the experiment result, the device can measurement the current sensor by varying the Pulse Width Modulation (PWM) such as 50-150. The method can avoid the zero current value. Thus, the proposed method could be implemented for monitoring the direct current of DC Motor.
Control of Electric Car Wheel Rotation Speed Using an Accelerometer Sensor (MPU-6050) Faalah, Fadjar Nur; Hanna, Ahmad Zyusrotul; Ma'arif, Alfian
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i3.72

Abstract

In the modern era, the implementation of electrification technology is one of the efforts that needs to be applied to create fuel-efficient and environmentally friendly vehicles. This technology encompasses various types, ranging from hybrid to full electric vehicles. There are four types of electric vehicle drivetrains and power sources used, namely: Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), and Fuel Cell Electric Vehicle (FCEV). The prototype system of an electric car aims to create an Electrical Control Unit (ECU) with a feature that enhances acceleration in a multifunctional electric car, which can be used in both conventional and unconventional vehicles, such as Formula-E racing cars. The participation in creating an electric car prototype is used for testing the speed control of electric cars using an accelerometer sensor (MPU-6050) placed on the steering wheel, similar to electrification technology. The drivetrain technology aims to improve acceleration (the change in speed within a specific time unit) in electric cars. The components used in creating the electric car prototype include the main components such as the Arduino Uno R3 microcontroller, MPU-6050 sensor, and potentiometer.
Parking System Using Nodemcu Microcontroller Based Infrared Sensor Arifin, Muhammad; Muchlas, Muchlas
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i3.74

Abstract

Vehicles are one of the important things in supporting the mobility of people and goods quickly, safely and comfortably. Cars are one of the most widely used types of vehicles because they can accommodate many people or goods. This study aims to make a prototype of an organized parking lot so that it is easier for car users to find parking. The system in this study uses a NodeMCU microcontroller as the controller. Infrared sensors are used as sensors to detect the state of the parking area. The system has two outputs in the form of an LED and a website. Infrared sensors can detect all parking area conditions, LEDs run according to parking area conditions, and the website can be used as remote monitoring of the parking area of this system. Parking area users can easily find an empty parking area.
Internet Based Control of Room Lights Using Wemos D1 Rahmatulloh, Rizqi; Sunardi, Sunardi
Signal and Image Processing Letters Vol 3, No 3 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i2.65

Abstract

The Internet of Things (IoT) has made things easier and cheaper because all devices are connected to the internet. Electronic equipment at home can be monitored and controlled remotely via internet so that it can be effective, easy, and automatic. This study builds lights as part of a smarthome that is used for lighting automatically using IoT. This study uses lamp automation method using equipment including the Wemos D1, LDR sensor, LCD, relay, and two lamps which are controlled using the Blynk application. This research has succeeded in building a remote home light monitoring system based on IoT in real time. The test has been carried out 24 times with 100% success. The house is no longer dark when the light intensity is low because the lights will automatically turn on, while if the light intensity is high, the lights will automatically turn off.

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