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Setiap harinya hampir semua orang selalu melakukan aktivitas sehari – hari berada di luar ruangan maupun diluar rumah seperti: bekerja, bermain, berlibur, maupun berolahraga. Ruangan yang ditinggalkan dapat menyebabkan terjadinya kehilangan barang akibat pencurian maupun terjadinya kerusakan pada barang yang ada di dalam ruangan. Sistem pendeteksi gerakan dan penangkap gambar ini dimaksudkan untuk membantu pemilik ruangan melihat apakah ada pergerakan manusia yang terjadi di dalam ruangan saat pemilik tersebut berada di dalam maupun di dalam ruangan. Perancangan alat pendeteksi gerakan ini  menggunakan sensor Passive Infrared (PIR), microcontroller ESP32-CAM, Relay, Buzzer dan MB102 Breadboard Power Supply. Sistem ini berbasis Internet of Things (IoT) dan menggunakan backend as a services (BAAS) sebagai media penyimpanan menggunakan Supabase, data yang disimpan pun akan ditampilkan di aplikasi smartphone, aplikasi tersebut dibuat menggunakan flutter, pada aplikasi tersebut pemilik rumah dapat melihat gambar, dan kapan terjadinya pengambilan gambar tersebut. Sistem pendeteksi gerakan manusia ini bekerja sangat baik, selain membunyikan alarm saat sistem mendeteksi adanya pergerakan manusia, sistem ini mengambil gambar yang dikirim ke aplikasi android dan memberi notifikasi. Dengan adanya sistem ini diharapkan dapat mengurangi kehilangan barang dan kerusakan pada ruangan

An automatic water level controller mechanism in a water tank is needed to maintain the availability of water supply. One way is to create a control system that uses an ultrasonic sensor as a detector of the water level that is fed back to the water tank filling pump. To minimize fluctuations in sensor readings, a mechanism is needed to minimize the occurrence of water ripples. To provide easy information to users on site, a monitoring system in the form of an LED indicator is also added that informs the condition of the water level in the water tank. Therefore, in this study, a tool will be created that can automatically control and monitor the water level based on Arduino Uno which uses an ultrasonic sensor and LED indicator with a wave ripple holder

The Electrical Safety Analyzer is a calibration tool commonly used to measure leakage currents. In this study, the performance of the PZEM-004t sensor was compared with the sensor used in the Fluke Biomedical brand Electrical Safety Analyzer 612 to measure the validity of the instrument used to carry out various electrical safety tests, including tests. ground cable resistance, current consumption test, and to check whether the device under test meets electrical requirements.. This tool also makes things easier for electromedical technicians. This tool, designed for electrical testing of electromedical equipment, requires sensors and a microcontroller. The voltage and current sensors use a voltage follower circuit, an inverting amplifier and the microcontroller uses an Arduino Mega. The test method is to compare the measurement results of the TA module tool with the measurement results of the Fluke Biomedical brand Electrical Safety Analyzer tool in 5 trials with an interval of 5 minutes for each test. From the test results for the phase to neutral voltage, the largest error was obtained at 0.6% for the infant warmer load. From the results of the phase to ground voltage test, the largest error was obtained at 0.3% for the infant warmer load. In testing the current on the infant warmer load, an error of 0.0-0.1% was obtained.    

The objectives of this study were:  1) to determine the acceptance of color, aroma, texture, and taste of turmeric-tamarind jelly candy with the addition of psyllium husk; and 2) to identify the composition of the selected turmeric-tamarind jelly candy product. The research employed experimental methods, hedonic tests, and ranking tests. Three variants of psyllium husk were used: Product 1 with 1 g, Product 2 with 3 g, and Product 3 with 5 g of psyllium husk added.  Data obtained from sensory evaluations were descriptively analyzed using Microsoft Excel 2019. Results indicated that the turmeric-tamarind jelly candy with the addition of 1 g of psyllium husk was the most preferred and well-received product.   The composition of the selected jelly candy included 150 ml of turmeric-tamarind extract, 60 g of sugar, 60 g of glucose, 21 g of gelatin, and 1 g of psyllium husk.    

As time goes by, the rapid development of technology has brought various conveniences to people's daily activities.  An example of the continuation of technology is microcontrollers and electronic devices that can be connected to the network. One of them is the industrial sector in the PLTS plant at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol which has PV Box generating equipment that requires temperature and humidity control to determine the cause of corrosion that occurs in the PV Box.This study is intended as a solution in monitoring PV Box generating equipment. This technology development uses the Internet of Things (IoT) which combines the physical and virtual worlds. In this research, the method used is the experimental measurement method, making the system created more real and detailed. In research using DHT11 equipment which has the advantage of being able to estimate temperature and humidity. NodeMCU ESP32 as a microcontroller connected to the blynk platform via the internet functions to manage hardware, show evidence of sensors, secure data, depict data, and others. The results of the research on designing a temperature and humidity monitoring system at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol were successfully created and produced positive effects by being monitored using the blynk platform. This research was carried out in real time using a cell phone wherever you are. This research shows that temperature measurements from the DHT11 sensor obtained an average temperature of 31.78%, while the average humidity value was 85.96%, which indicates that the room being measured had high humidity. By considering these two findings, it can be concluded that the cause of corrosion in the room is high humidity and redox reactions from various substances in the environment.

Sterilization is the eradication of materials, substances, or tools from various live microorganisms or their resting stages. Bacterial and fungal vegetative cells can be killed at a temperature of 60 °C within 5 to 10 minutes. A data logger is a tool used to monitor the temperature inside an autoclave. Previous research on "Autoclave Data Logger" aimed to assist in recording temperature activities within the autoclave. When the device is turned on, it automatically records the temperature inside the autoclave and stores the temperature data read on an SD card. After the sterilization process is completed, the SD card is retrieved for reading on a personal computer in Excel format or converted into a graph. Therefore, the author developed an IoT-based autoclave calibrator tool with data storage. This IoT-based autoclave calibrator tool with data storage utilizes the ESP32 microcontroller for programming and as a source in the IoT system. The ESP32 is used to control the input from the waterproof DS18b20 sensor, which functions to read or detect the temperature in the autoclave. The data read by the sensor will be displayed on the IoT platform, which is the Blynk IoT application, and after the results are displayed on the IoT platform, they will be stored on an SD card.      

Autoclaves are the most widely used tool for sterilization worldwide and are considered the most effective and cost-effective method for sterilizing medical equipment. The research aims to design and build an autoclave that uses an Arduino microcontroller as the brain of the system and is equipped with a temperature sensor, heater driver, heater and power supply. This autoclave will help ensure that the medical equipment used is sterile by using a working system using a 121℃ pressurized steam heat method for 15 minutes. Based on the results obtained, an Arduino nano-based autoclave device has been successfully created. By measuring each measurement point, the error value is very small, namely TP1 at a voltage of 5.1 with an error of 2%, TP2 at a voltage of 4.8 with an error of 0.4%, TP2 at a voltage of 4.8 with an error of 0, 4%, TP4 at a voltage of 225 with an error of 2%, TP5 at a temperature of 121 with an error of 0%.      

An experiment examined micrometer shifts in optical fibers to understand sensor characteristics: range, linearity, sensitivity, and resolution. Findings showed voltage output decreases with fiber length. The fiber coupler sensor's range was 2 mm, and the fiber bundle sensor's was 25 mm.While not perfectly linear, the study identified operational ranges using y = ax + n. The fiber bundle had two linear regions: Front Linear (0.2-1.6 mm) with R² = 0.9918 and Rear Linear (2.3-8.3 mm) with R² = 0.977. The fiber coupler's linear trend spanned 0.3-2.1 mm with an R² of 0.944. Sensitivity was 4668.5 V/mm (front) and 780.91 V/mm (rear) for the fiber bundle, and 215.79 V/mm for the fiber coupler. Resolution was 0.0107 µm (front), 0.0640 µm (rear) for the fiber bundle, and 0.2317 µm for the fiber coupler. These findings shed light on optical fiber shift sensor parameters.

In the hold of the fishing boat, it is currently unable to control the pH of the water in accordance with the living environment of the fish. The pH of the water also needs to be considered so that the fish can survive. In addition, fish feeding on fishing vessels is also very necessary. The purpose of this research is to design a system that can control pH, fish feeding, fish water replacement. in the fish hold using an IoT-based microcontroller. The method used in this research uses quantitative methods through system design, design software design models, product trials.This method is used This research method includes steps taken to design and implement the system, as well as tests carried out to ensure the performance and success of the designed system. The results of the data designed by the system are analyzing the data in testing this tool according to its function. The accuracy of using the tool when feeding is 90.5% and the percentage error is 9.5%. The accuracy of using the tool when draining mode is 100% with a percentage error of 0%. And for the results of the percentage error of the pH sensor when the mode is on by 100% with a percentage error of 0%. This shows that the Smart Pond system designed has a high level of accuracy in terms of fish feeding and pond draining.

Inductive loads on ships are loads that cause the power factor value to move away from 1.00, especially if the addition of this type of load exceeds the standard and the load is installed unbalanced, it can worsen the power factor value. A low power factor value results in soaring current values and reactive power, which often results in cable insulation burning and reduced efficiency. The aim of this research is to create a tool that can automatically correct low power factor values using a Capacitor Bank, PZEM-004T sensor and ESP32 controller at certain inductive loads and can monitor and record electrical load parameter data from various areas on the ship online and offline. This research uses a trial and error method. Based on the test results, this tool can automatically improve the power factor value of inductive loads in the form of TL lamps and electro motors to above 0.90 and the working current value of TL lamps can be reduced from 0.30-0.31 A to 0.17-0.18 A. Electro motors experience a decrease in current from 0.74-0.76 A to 0.66-0.68 A. This tool is also equipped with a system for monitoring and recording load parameter data using Google Spreadsheet when an internet connection is available. If an internet connection is not available, the recording will be transferred using Micro-SD.

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 the digital age, public road lighting (PJU) monitoring efficiency is becoming essential for effective infrastructure management. The research developed a PJU monitoring system based on LoRa technology and an Arduino microcontroller to monitor the operating conditions of PJU solar panels in real time. The system uses the LoRa 433 MHz module for remote data communication and is equipped with a voltage sensor to monitor batteries and solar panels as well as an ACS712 current sensor to measure current consumption on LED lights. The data is displayed on an I2C 16x2 LCD screen, making monitoring easy. LoRa technology offers the advantages of broad communication range and low power consumption. The development method used is prototyping, including needs analysis, system design, implementation, testing, and maintenance. Test results show that the system works well, with sensors providing adequate accuracy and LoRa communication enabling remote data access. The system improves the efficiency and accuracy of PJU monitoring, as well as reduces time and effort in the monitoring process. Overall, the system is an effective solution for PJU management in the digital age.

The obesity rate among adolescents in Indonesia is increasingly worrying. Obesity in adolescents is affected by a variety of factors, including lifestyle changes that tend to lead to an unhealthy diet and lack of physical activity. To overcome this problem, early prevention efforts are very important, one of which is by measuring Body Mass Index (BMI) as an early indicator of obesity. This research uses a Research and Development (RnD) approach, which aims to develop or improve existing tools to obtain new data and insights into the use of these tools in various contexts. This tool is a development of the previous tool with the HC SR04 sensor to measure height, the Load Cell sensor to measure weight, and the Atmega328p microcontroller to calculate BMI. The main innovation of the tool is the use of a 433 MHz Radio Frequency module that allows wireless communication between height and weight data, increasing the mobility of the tool as it does not require cables and poles as a support. With the result of an error value in the IMT measurement of 1,28%. With an error value of 1.28% in BMI measurements and 93.40% in BMI measurement validity. So from the results of the above percentage, it can be stated that this tool is suitable for use.

Babies have three needs that must be met by parents, namely physical-biological needs which are useful for brain growth, sensory systems and motor skills. Interpersonal and intrapersonal emotional intelligence through the need for affection, as well as the need for stimulus or stimulation to improve the working mechanisms of the sensory and motor systems. The most important thing in a child's growth and development is stimulation (Maharani, 2017). This study aims to analyze the effect of baby massage on weight gain in babies aged 3-6 months at the Uluan Community Health Center, Toba Regency in 2023. In this research, researchers used a quasi-experiment with a non-equivalent control group design to compare the results of health program interventions. in a similar control, but not necessarily the same group (Zulkarnain, 2018) Statistical test using Microsoft Excel and Paired Test to test differences in dependent data (dependent samples). The error rate or significance level (a) used is 0.05 with a confidence interval (CI) of 95% (Hardani, 2020). Based on the research results. Based on the results of statistical tests using Chi-Square, it was obtained that Based on the results of statistical tests using the paired t test, t = 6.610. Because t count (6.610) > t table (2.0345), HO is rejected and Ha is accepted. This shows that there is an influence of baby massage on increasing postpartum mothers regarding breast care with smooth breast milk production in Jatimulyo Village, Serdang Bedagai Regency in 2023

Fire is a threat to human safety, property and the environment. With the increasingly rapid development and progress of development, the risk of fires is increasing. Shophouses or shophouses are places that are prone to fires. The increasingly dense population and the construction of office buildings have created a vulnerability in the event of a fire. Preventive efforts must be carried out by each individual and work unit, so that casualties from fire incidents can be minimized. Fires can cause moral, material and even human life losses. Fires that hit public facilities, of course, cause losses to many people. Shophouse fires often occur suddenly due to short circuits, gas explosions or due to sparks from cigarettes/matches. The research carried out this time focuses on creating a fire detection system using ESP32 and Arduino. The system uses three sensors, namely a temperature sensor, a gas sensor and a fire sensor. Temperature sensors are useful for monitoring room temperature conditions, fire sensors are useful for detecting the presence of fire in a fire disaster and gas sensors are useful for detecting the presence of smoke that appears as a result of a fire disaster. This system uses an ESP32 microcontroller and uses the Arduino IDE application. The results of the fire detection system are expected to reduce the occurrence of fire accidents and also losses caused by fire accidents.

Modern agriculture increasingly relies on technology to increase efficiency and productivity, so that humans nowadays always need tools that can make their work easier, especially for monitoring soil moisture. in presenting a soil moisture control monitoring system tool, which can be used by the community for efficient gardening. Where the system uses microcontroller technology which has been developed internationally. The creation of this system aims to make gardening easier. From the case studies raised in this research, the lack of efficient soil moisture affects plant growth. A system was created to produce a tool for controlling and monitoring soil moisture conditions in waterfall method plants. The stages of this research include analysis, system design, implementation, testing and maintenance. The implication of this research is the optimization of the gardening process by farmers in maintaining soil moisture by automatically turning on and turning off buttons. This system is based on IoT which is a soil moisture sensor using a soil moisture sensor & I2C LCD as a monitoring tool. It is said that the soil is damp if the water content is 60% -80%, if it is less than this then the water pump will turn on automatically.

Burglary involves forced or unauthorized entry, which leads to damage or loss of property having monetary or emotional value and, more severely, puts lives at risk. The dire need for the safety of lives and properties has attracted so much research on burglary alert system using Internet of Things (IoT) technology. Most of the research focused on alerting the users of burglary attempts using any or a combination of two notification methods: SMS, call, and email. This study emphasizes three-mode notification that combines SMS, call, and email using the application of IoT technology in a burglary alert system, which uses a Passive Infrared (PIR) sensor for burglar detection to ensure that Homeowners or authorized personnel get alerts in events of imminent attempt to break-ins. The study also details the sensor integration with its supporting components, such as the central hub or microcontroller, buzzer, LED, and network interface in the development of the system. The software was developed to facilitate seamless integration with the hardware, ensuring timely and accurate event detection and subsequent alert generation using Arduino IDE programming language, a framework based on the C++ language. The system effected the 3-mode notification to ensure that users get notification in case of an imminent break-in since the failure of the three modes simultaneously is extremely rare. The system’s performance based on its responsiveness on the 3-mode notifications was evaluated, and an average of 83.56% responsiveness was obtained, indicating an acceptable response time.

Renewable energy microgrids integrated with smart control systems are emerging as a sustainable solution for electrifying rural industrial zones, offering substantial improvements in energy efficiency and reductions in carbon emissions. This study explores the implementation of hybrid renewable energy systems, combining solar and wind energy, and the integration of Internet of Things (IoT) sensors to optimize energy consumption in real-time. The findings highlight that the combination of solar and wind energy in microgrids leads to up to a 30% increase in energy efficiency, with a significant reduction in CO₂ emissions, reaching up to 50% compared to traditional grid systems. IoT sensors play a crucial role in load forecasting, optimization, and system stability, enabling real-time monitoring and proactive adjustments to energy distribution. Additionally, the implementation of these systems in rural industrial zones not only provides reliable, clean energy but also reduces reliance on fossil fuels, making them economically viable and environmentally sustainable. However, challenges such as high initial investment costs, integration complexities, and the need for skilled technicians remain. Despite these barriers, the long-term benefits of reduced energy costs, improved energy security, and lower carbon footprints make renewable energy microgrids a promising solution. The study suggests that these systems can be scaled to other rural regions facing similar challenges in energy access and carbon emissions, offering a path to sustainable development. Further research is recommended to explore alternative renewable energy combinations and advancements in IoT applications to improve system scalability and efficiency.

Laboratory space is a place to store important assets, so security is an important factor. The application of technology is needed to help security in the laboratory space. In addition, with various technology options, it is necessary to consider human errors that often occur. The use of smart door access with a mechanism using a fingerprint sensor is determined due to security considerations and minimizing human error. Security is guaranteed because only registered fingerprints can access the room. The microcontroller uses Arduino Uno as a system driver that has been programmed in the Arduino IDE. The system works according to the function where the outer door uses a fingerprint sensor while the inner door uses a touch sensor to move the solenoid door lock. Three variations were carried out, namely clean fingers, dusty fingers and wet fingers to observe fingerprint performance. The fingerprint sensor works quickly when the finger is clean then the finger is wet and finally the finger is dusty. The length of time the solenoid door lock opens when the smart door access system is operated according to the settings in the Arduino IDE program.

Naturally, a mother hen incubates her eggs until they hatch completely. However, the success rate of natural hatching is low, and hatching can be completed with a maximum of 10 eggs. Chicken farming, more specifically the chicken egg hatching system, breeders usually use an incubator for the process of hatching chicken eggs. In the incubator, there is a lamp that has been provided which is used for the process of warming the eggs so that the eggs can hatch properly and of good quality with incandescent lamps. In general, the process of hatching eggs often encounters problems or obstacles. The obstacle that is often experienced when hatching chicken eggs is that the incubator only uses incandescent lights. Therefore, to avoid this problem, a microcontroller was designed to overcome this problem. This tool is a combination of a microcontroller with an Arduino-based temperature and humidity sensor. With this tool, after the eggs hatch, when the lights are off, the sensor can read the output in the form of the incubator temperature, which is detected by the Arduino serial display. Design methods and experimental methods were used in this research. Tool testing is divided into three types, namely temperature testing, humidity testing and egg load testing. The result of this research is an automatic egg incubator machine that uses Arduino. Several electronic components used in the incubator are Arduino,