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Abstract Kebakaran merupakan salah satu bencana yang dapat mengancam keselamatan jiwa dan harta benda, khususnya di lingkungan hunian padat seperti rumah kos. Kos Putri Kanaya Projo merupakan salah satu kos putri di Ungaran Timur, Kabupaten Semarang, yang berisiko tinggi mengalami kebakaran akibat kelalaian penghuni dalam penggunaan peralatan listrik maupun kompor gas. Penelitian ini bertujuan untuk merancang dan membangun sistem pendeteksi kebakaran dini berbasis mikrokontroler dengan dukungan teknologi Internet of Things (IoT).  Sistem dikembangkan menggunakan mikrokontroler ESP32 yang terhubung dengan sensor MQ-2 (asap/gas), sensor PIR (api), dan sensor DHT22 (suhu/kelembapan). Output sistem berupa notifikasi peringatan pada aplikasi Blynk, buzzer sebagai alarm suara, serta tampilan informasi melalui LCD. Metode penelitian yang digunakan adalah prototyping dengan tahapan perancangan, implementasi, pengujian, serta penyempurnaan sistem. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi asap, gas, suhu tinggi, dan api dengan akurasi di atas 90% serta memberikan notifikasi peringatan melalui aplikasi Blynk dengan waktu respon kurang dari 10 detik. Dengan demikian, sistem ini efektif sebagai solusi deteksi dini kebakaran pada lingkungan kos sehingga dapat meningkatkan keamanan dan meminimalisir risiko kerugian material maupun korban jiwa

Blood transfusion is a critical medical procedure that requires the blood to be at a temperature close to normal human body temperature, approximately 36– 38°C. Transfusing cold blood can lead to serious complications such as hypothermia, coagulation disorders, and even cardiac arrest. Therefore, a reliable and automated blood warming device is essential to ensure safe transfusions. This study aims to design and modify a Blood Warmer Thawing device based on the Arduino Uno microcontroller as an innovative and cost- effective solution, particularly for healthcare facilities with limited resources. The system integrates a DS18B20 temperature sensor to monitor the temperature of the heating medium in real time, with data displayed on a 20x4 I2C LCD. Users can set the desired temperature via a 4x4 keypad, and the system automatically adjusts the heater performance based on the detected temperature. To enhance safety and operational efficiency, the device is also equipped with a buzzer as a warning indicator when the temperature exceeds the safe threshold, and utilizes a DC motor and cooling fan to maintain proper heat circulation. Test results indicate that the device is capable of maintaining the liquid temperature within the ideal range for blood transfusions, with high stability and fast response to temperature changes. This innovation offers a practical, affordable, and easy-to-implement solution to support effective and safe blood transfusion procedures in various healthcare settings.

Infusion Device Analyzer is a tool for testing the performance of an infusion pump and Syringe Pump. This tool measures flow and occlusion provided by the infusion pump and syringe pump. So a tool is needed to calibrate the infusion pump and syringe pump according to applicable standards so that swelling does not occur in the patient. The design of this calibration tool can also be used as student learning material so that students can understand and comprehend the working principles of the Infusion Device Analyzer. This tool is made using the Arduino Uno control system and there is an occlusion and flow measurement display along with room temperature and humidity which will be displayed on the Nextiton 4'3 Inch LCD. Accompanied by an optocoupler sensor as a liquid flow detector and an MPX5700AP sensor as a liquid pressure detector which is equipped with a DHT22 sensor as a room temperature and humidity meter. This calibrator tool is also equipped with a solenoid valve to regulate the entry of fluid to be measured between flow or occlusion measurements. The function test results show that the flowrate measurement of 10 is 12ml/h, 50 is 54ml/h, 100 is 105ml/h while the occlusion with a rate of 100 is 2.66 psi and the tolerance value for the parameters is appropriate. Therefore, the tool created is close to the desired plan and can be used as a suitable comparison of whether a Syringe Pump or Infusion Pump tool is suitable after repairs or during maintenance. This tool can also be used in learning for students to understand the parts of the working principle of this tool.

As an archipelagic country, Indonesia has significant potential for the utilization of renewable energy, particularly wind energy in maritime areas with low wind speeds (3–6 m/s). This study aims to design and test a vertical Savonius wind turbine system equipped with a Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm as a power source for shipboard water heating systems. The research method applied is Research and Development (R&D), integrating several components such as a DC generator, full-wave bridge rectifier, INA219 current sensor, anemometer cup sensor, ESP32 microcontroller, and a monitoring interface utilizing Google Spreadsheet and a 20x4 LCD. The system was tested under two operating conditions: without MPPT and with MPPT. The experimental results show that the application of the MPPT algorithm successfully increased power output by up to 272.64% while maintaining voltage stability despite varying wind speeds. Nevertheless, the average output power of 2.605 W remained insufficient to meet water heating requirements within a short time. For example, charging a 12V 50Ah battery would require approximately 9.6 consecutive days of operation, highlighting the system’s limitations in high-demand scenarios. Despite these constraints, the findings demonstrate that the vertical Savonius wind turbine integrated with MPPT has strong potential as a clean and environmentally friendly alternative energy solution for maritime applications, particularly for small-scale onboard electrical loads. This study contributes to renewable energy utilization in the shipping sector and provides a foundation for further technological development and optimization.

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.

This final project presents the design and development of a digital microscope based on Raspberry Pi 4 integrated with Internet of Things (IoT) technology. The aim of this project is to create a digital microscope that allows real-time observation and data sharing over the internet, enhancing accessibility for researchers and students, especially in remote areas. The digital microscope utilizes a high-quality camera (Sony IMX307) for capturing images, which are processed by the Raspberry Pi 4 and displayed on a touchscreen LCD. This project not only facilitates remote learning and collaborative research but also aims to improve the efficiency of scientific observations. The methodology includes the design, assembly, and testing of the microscope, with a focus on functionality and user experience. The results indicate that the digital microscope successfully meets the objectives, providing an affordable and innovative solution for educational and research purposes. Further development and testing will enhance its capabilities, making it more suitable for diverse scientific applications.

A clean room is a clean room free from dust and air which can affect product quality. Factors that influence product quality are temperature, humidity and air particles. The condition of the cleanroom cannot be guaranteed to be clean and sterile at all times without a control system. Therefore, a tool was developed that can monitor, control and provide warnings if the room is not in suitable condition. In this research, the PID method was used using the split range control method to control temperature and particles to help optimize the temperature and particle control process. SHT30 sensor for temperature and humidity detection. PMS5003 sensor for air particle detection. The results of sensor detection can be monitored on the website and LCD. The output from the control system will regulate the speed of the blower motor, regulate the temperature and turn on fogging to reduce particles in the air. So the PID method with the split range control method is used as an appropriate temperature control system, so that the temperature and air particles remain in a stable condition. The results of the humidity percentage error are 1.43% and the temperature error is 1.14%, PMS5003 produces errors for particles with a size of 0.1, namely 2.3%, 0.5, namely 5.3%, 1, namely 4.2%, and 5 which is 4%. The PID control system takes approximately 885 seconds to reach 100% setpoint.

From this study, the automatic electric oil heater can be used to adjust the temperature value and the automatic electric heater will be able to turn off automatically according to the setpoint temperature value determined through a smartphone device or IoT program. Monitoring can also be done with the app, as well as being able to view temperature values directly through the LCD. This tool is in the form of an electric heater that will be used to heat ship fuel automatically and is more practical and efficient. It is also easier to maintain than a boiler on a ship. The design of this tool is based on accurate calculation of temperature values, with which the process of heating up fuel becomes faster. From the results of this study, a heat sensor that can read the temperature value and the buzzer will sound and the device will automatically turn off if the temperature has reached a specified setpoint. This research was carried out when the ship was about to make a departure to find out the temperature in the heating of the fuel on the ship. Testing Design of an automatic electric oil heater as a replacement for IoT-based thermal oil boiler on this bulk carrier ship, it can be known the disadvantages and advantages of this tool, testing can be done by putting oil into the electric heater, then in a short time the oil will heat up quickly, and the tool will be able to turn off automatically and the buzzer will immediately turn on when the heat has reached the specified temperature. In the temperature setting, it can be set in a smartphone or an app that can adjust the temperature and turn off the appliance from a considerable distance. However, the application must use the internet network and cannot be accessed locally, the use of IoT requires devices and smartphones to be connected to the internet.    

Indonesia is a country located between active earth plates, namely the Eurasian Plate, the Indo- Australian Plate, and the Pacific Plate. These plates are very active plates that move and pose a high risk of earthquake disasters. Therefore, the author wrote an Applied Scientific Work with the title Earthquake Disaster Detection System Using Arduino at the SMI Shipyard port. Earthquake Detection System is made in order to detect earthquake disasters and minimize casualties due to the earthquake disaster. The use of these tools in the world of transportation to detect earthquakes used in coastal areas and port ports located in earthquake-prone areas. The method used is system design to determine the occurrence of an earthquake or vibration detected by the ADXL 355 sensor to reach the output, namely the buzzer and LCD. From that the author makes a tool that can provide warnings to the community or workers in the area to avoid casualties. Earthquake Detection System Using Arduino gives output commands to the buzzer and 220 V lamp. If the vibration is from 2.0 SR, the buzzer and light output will not be active. This system has an accuracy rate of 77.6% and has the largest error rate of 22.4%.

In this final project the author discusses the problem entitled "Design of Smoke Detector and Room Temperature of SAP ERP Server at PT Apac Inti Corpora". This design aims to support the improvement of the security system in the server room with smoke and temperature detectors and microcontroller-based automatic countermeasures. Against the background of problems with sensors and countermeasures systems in the server room and lack of insight into sensor installation. This tool uses a gas sensor MQ-2 as a smoke detector, a DHT-11 sensor as a temperature detector, Arduino as a microcontroller that controls I/O, buzzer and LED as an alarm, a fan as a temperature controller, and an LCD to display conditions in the room. The output of the MQ-2 and DHT-11 sensors will be processed in a programmed microcontroller so that it can display conditions on the LCD. This tool will turn on the alarm and fan if smoke and high temperature are detected at the specified conditions.

Anemia in pregnant women can increase maternal and child mortality and morbidity rates. Anemia increases the risk of abortion, KJDR, premature birth, hemorrhagic and so on. Anemia in pregnancy affects the growth and development of the fetus both before and after birth. The prevalence of anemia in pregnant women in Indonesia is 48.9%. One of the ways to reduce the incidence of anemia in pregnant women is to provide nutrition education that can help reduce anemia to the community, especially pregnant women. Tanakaraeng Village is used as a counseling location. The method used in this community service activity is lectures and discussions using powerpoint, LCD. From the results of data processing using a paired T test with a sample of 21 people, it was obtained that there was an increase in knowledge from the average value of the pre-test questionnaire, which obtained a value of 45.23 and post-test: 74.76. The result of the paired T test is 0.000. There is an average knowledge before being given counseling and after being given counseling.

The Madukoro gas station is one of the gas stations in Semarang where the payment and refueling systems are still done manually. In general, the manual payment and filling system has many obstacles, resulting in long queues because the service is not fast and effective, also triggering the exchange of counterfeit money because payment uses cash. The application of e-money technology based on microcontrollers is made to make a payment system using electronic money instead of cash that is integrated with fuel filling, this system aims to reduce the long queues that occur and also prevent the amount of counterfeit money circulating at gas stations and make services more fast and easy. The method used in the design of this system is to use the method of Research and Development (R&D) theory from Borg and Gill, starting with gathering information by interviewing Madukoro gas station supervisors and field surveys then designing and developing systems to overcome the problems obtained in research. The system design uses a microcontroller as a data processor that will retrieve data from a database that was previously inputted from the VB.Net application and e-money reader and outputs to instruct the pump to remove fuel from the tank in accordance with the calibration of fuel output per second. As information on the rest of the fuel in the tangka, this tool uses the help of a load sensor that will be displayed on the LCD. In general, this system will make services faster and easier, thereby reducing the number of long queues, but also to avoid the circulation of counterfeit money in gas stations Madukoro, Semarang.

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.