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This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

This study focuses on the development of an interactive web-based learning platform for Proportional-Integral-Derivative (PID) control systems, aimed at addressing the conceptual challenges faced by electrical engineering students when learning PID through conventional teaching methods. Despite its foundational role in control theory, PID remains difficult to grasp without practical visualization and hands-on experimentation. To bridge this gap, the research introduces a practical and accessible platform that enhances conceptual understanding through real-time simulations and physical interaction. The proposed system integrates key hardware components including an ESP-32 microcontroller, DC motor, rotary encoder, BTS 7960 motor driver, and I2C LCD. The platform’s web interface is built using HTML, Tailwind CSS, and JavaScript, enabling intuitive user interaction. Motor response data is captured via the ESP-32 and transmitted to the web interface using the WebSocket protocol, allowing users to instantly visualize system behavior as PID parameters (Kp, Ki, Kd) are adjusted. This dynamic feedback mechanism enables students to observe changes in system characteristics such as rise time, overshoot, and settling time in real time. To evaluate the platform’s feasibility, practicality, and educational effectiveness, beta testing was conducted among electrical engineering students using Likert-scale questionnaires. The results demonstrated that users were able to successfully interpret the impact of PID tuning on system performance. The average evaluation score reached 75.13%, indicating strong agreement regarding the platform’s educational value and its effectiveness in enhancing learning outcomes. In conclusion, the study affirms that the developed web-based platform offers a feasible, engaging, and pedagogically effective alternative to traditional learning approaches. By combining interactive simulations with physical experimentation, the platform significantly improves students’ understanding of PID control systems.

Blood pressure is a crucial factor in the circulatory system of the human body. It refers to the amount of force exerted by the blood on the inner walls of the arteries when it is pumped throughout the circulatory system. Blood pressure can be measured using a device known as a digital sphygmomanometer, which determines systolic pressure, diastolic pressure, and beats per minute (BPM) of the human heart. As technology evolves, the digital sphygmomanometer has been enhanced with features such as the Internet of Things (IoT). IoT in healthcare refers to the use of information technology to enable remote health monitoring by healthcare professionals. A digital sphygmomanometer equipped with IoT facilitates the exchange of diagnostic information, treatment decisions, and prevention of diseases and injuries. This IoT-based digital sphygmomanometer is designed using the ESP32 microcontroller. A DC motor is used to apply pressure to the cuff, and a solenoid valve is used to release air from the cuff. The MPX5700AP sensor detects systolic and diastolic blood pressure, as well as BPM. The system also includes a motor driver to control the DC motor and solenoid, a Nextion LCD display to show blood pressure results, and a web server to display and store measurement data. The percentage of measurement error for systolic pressure ranges from the smallest error of 3% to the highest error of 25%. For diastolic pressure, the error ranges from 4% to 36%. As for BPM, the smallest error recorded is 13.6%, and the highest is 70.2%. This device helps patients monitor their systolic pressure, diastolic pressure, and BPM, with results saved and monitored through a database system.

The phenomenon that occurs in the load lifting system is the need for an efficient and reliable mechanism to move the crane hoist pulley vertically and horizontally. This study aims to design and test a crane hoist system that uses a DC motor and a stepper motor controlled by an L293D motor driver, and to develop an application based on MIT App Inventor to control the movement of the motor. The research method used is integrated hardware and software design, followed by testing the performance of the motor, driver, and the application developed. Testing was carried out under limited load conditions, to measure the motor speed, voltage, and current used at loads of 10 to 100 grams. The results of the study showed that the system can function well at varying speeds, and the motor is able to lift a maximum load of up to 100 grams with a speed that decreases according to the weight of the load. The MIT App Inventor application successfully controls the motor effectively via a WiFi connection with a maximum distance of 10 meters, and loads the operation of the crane vertically and horizontally. This study proves that the designed system is able to work optimally in lifting and moving loads, and the application developed provides easy and efficient control.

This study generally aims to design an information system that can handle problems in putting and sorting goods into warehouses at CV. Sekar Intan KIC Gatsu, Semarang. In terms of using the Information System, CV. Sekar Intan KIC Gatsu, Semarang. In the transfer and sort of goods in the warehouse still using a manual system when the implementation, warehouse employees must take and place the goods to the warehouse that has been determined each - each type of item, so employees must calculate the number of items when the goods take place, here various problems occur, because it requires some HR to manage the warehouse performance process at CV. Sekar Intan. To support the research, researchers used Research and Development (R & D) research methods through the microcontroller-based moving robot design simulation design stages that have been tested by experts declared valid with Valid validity levels and final product development design simulation prototypes carried out. goods transfer robot uses Arduino IDE development software that is integrated with Arduino Mega 2560, 6 pin line sensor, dc motor, motor driver, servo motor, motor driver, lcd, and has been tested in the field by General Adv. Administration and HRD as users / users and stated to be very effective. Based on the results of the research and discussion, it can be concluded that the robot design system developed can overcome the problems in the old system on the CV. Sekar Intan KIC Gatsu Semarang, so as to produce a system that can facilitate work processes and parking processes for employees to be more effective and efficient.