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The implementation of smoking prohibition policies in Islamic boarding schools continues to depend largely on manual monitoring methods, which often face challenges related to consistency and supervision range. This study aims to design an Internet of Things (IoT)-based cigarette smoke detection system as an alternative monitoring approach that is more effective, measurable, and sustainable. The system design combines an MQ-2 gas sensor with a NodeMCU ESP8266 microcontroller programmed through the Arduino IDE platform. When smoke levels detected by the sensor exceed the predetermined limit, the system automatically triggers a buzzer and LED as warning indicators while simultaneously sending monitoring data to cloud-based platforms such as Firebase or ThingSpeak for real-time observation through web interfaces. The research outputs include a comprehensive system design consisting of system architecture, electronic circuit schematics, flowcharts, and pseudocode that are systematically arranged to support future prototype development and implementation. Through this design, the proposed system is expected to provide an initial technological solution that can enhance the effectiveness of monitoring and enforcing smoke-free regulations within Islamic boarding school environments.

The development of renewable energy, particularly Solar Power Plants (PV), requires a reliable, real-time, and easily accessible electrical energy monitoring system to ensure optimal system performance. This study aims to design and implement an Internet of Things (IoT)-based electrical energy monitoring system for PV using the NodeMCU ESP32 microcontroller, the PZEM-004T sensor for measuring electrical parameters, and the Node-RED platform as the data visualization interface. The developed system is designed to monitor voltage, current, power, energy, frequency, and power loss in real time, and then display the data in the form of numerical values, graphs, and indicators on a dashboard accessible through a local network. The research method includes hardware design, software development (sensor reading, data processing, and communication), integration with Node-RED, and system testing on a small-scale PV installation. The test results show that the system is capable of monitoring electrical parameters in a stable and responsive manner. Variations in sunlight intensity were found to affect the current and power produced by the solar panels, whereas the inverter output voltage tended to remain within normal operating ranges. The Node-RED dashboard display was considered informative and helpful for users in monitoring and analyzing PV performance. Based on these results, it can be concluded that the IoT-based electrical energy monitoring system designed in this study functions well and is feasible for application in residential or educational-scale PV installations. The system still has the potential for further development through cloud service integration, the addition of environmental sensors, and enhancements to data analysis features and user interface design.

Penelitian ini mengembangkan sistem pemantauan berbasis Internet of Things (IoT) untuk mengoptimalkan kinerja Mini PC dan pemeliharaan real-time di CV Permata Gemilang Jaya. Metodologi waterfall diterapkan menggunakanNodeMCU sebagai mikrokontroler utama, dilengkapi dengan sensor DHT22, DS18B20, dan INA219 untuk memantau parameter suhu, CPU, dan memori. Arsitektur sistem mengintegrasikan kerangka kerja Laravel dengan database MySQL, menghasilkan aplikasi web responsif dengan kontrol akses berbasisperan untuk Admin Pusat, Admin Regional, dan Teknisi Cabang. Infrastrukturserver cloud dengan konektivitas GSM cadangan memfasilitasi pemantauanterpusat di wilayah Ciayumajakuning. Desain sistem menggunakan Unified Modeling Language (UML) dengan diagram kasus penggunaan dan diagram aktivitas yang komprehensif. Penerapan sistem pemberitahuan otomatisdengan mekanisme peringatan berbasis ambang batas memungkinkan deteksidini anomali perangkat. Antarmuka yang dioptimalkan untuk selulermeningkatkan aksesibilitas teknisi untuk operasi lapangan. Validasi sistemmenunjukkan strategi pemeliharaan preventif yang sukses dalam mengurangiwaktu henti perangkat dan mengoptimalkan efisiensi operasional infrastrukturteknologi informasi.

Electricity has emerged as an essential requirement in modern life. As demand escalates, electricity costs rise, making wastefulness a drain on financial resources. Consequently, forecasting electricity usage can enhance our management of consumption. This study presents an IoT-based monitoring and forecasting system for electricity consumption. The system comprises two NodeMCU micro-controllers, a PZEM-004T sensor for collecting real-time power data, and three relays that regulate the current flow to three distinct electrical appliances. The data gathered is transmitted to a web application utilizing the k-Nearest Neighbor (k-NN) algorithm to forecast future electricity usage based on historical patterns. We evaluated the system's performance using four weeks of electricity consumption data. The results indicated that predictions were most accurate when the user’s daily consumption pattern remained stable, achieving a Mean Absolute Error (MAE) of approximately 1 watt and a Mean Absolute Percentage Error (MAPE) ranging from 1% to 1.7%. Additionally, predictions were notably precise during the early morning hours (3:00 AM to 8:00 AM) when k=6 was employed. This study demonstrates the effectiveness of integrating IoT-based systems with machine learning for real-time energy monitoring and forecasting. Furthermore, it emphasizes the application of data mining techniques within embedded IoT environments, providing valuable insights into the implementation of lightweight machine learning for smart energy systems.

Due to the busy activities outside the home, some people do not have time or forget to water their plants, so when they return home they find that the plants have died from drought. Therefore, to overcome this problem by conducting research using Internet of Things technology. The aim of this research is to design an automatic watering tool to overcome manual watering and support learning. This prototype uses a NodeMCU ESP8266 as the main controller, a soil moisture sensor is used to read soil moisture.  Soil moisture sensors are used to detect soil moisture. If the soil humidity is below the minimum limit, the watering process will be active and the watering process will be active if the NodeMCU ESP8266 receives commands from the smartphone.

During this process of monitoring the contents (volume) of the patient's urinary catheter manually, the nurse must go around one by one to the patient's inpatient room to ensure the contents (volume) of the patient's urinary catheter. This process takes quite a long time while patients who use urinary catheters at the hospital are not small. In addition, if the patient's urinary catheter monitoring process is still done manually, sometimes the medical team or nurses often miss or forget, that the urine bag (catheter) is full. The purpose of this study is to design an Internet Of Things Based Urine Bag Monitoring. The research method used in this study was experimental. The population in this study was 65 TREM study program students with a sample of 40 respondents. Based on the average score table of the Simplicity, Interactivity and Usability surveys. The results of the score calculation using the Likert scale from the Simplicity, Interactivity and Usability factors of urine bag monitoring testing that has been carried out using questionnaires to respondents have shown a high score that is almost close to the value of 5 based on calculations carried out using the Likert scale which indicates that this urine bag monitoring tool can be well received by respondents. It is expected to be developed as material for further research related to monitoring urine bags using applications that can usealarms on users' smartphones and can also use batteries on urine bag monitoring tools

The advancement of Internet of Things (IoT) technology has significantly transformed traditional homes into intelligent living environments. This study presents the implementation of a smart home automation system utilizing IoT components to control and monitor household devices remotely. The system integrates NodeMCU ESP8266 microcontrollers, sensors (temperature, motion, light), and actuators (relays for lights, fans, and appliances) which are connected through a Wi-Fi network. A mobile application is developed to enable real-time control and monitoring, enhancing user convenience, energy efficiency, and home security. The system also includes automated scenarios such as turning off lights when no motion is detected or adjusting ventilation based on temperature. Testing results show that the system responds within an average delay of less than 1.5 seconds and maintains stable performance across various network conditions. The findings confirm that IoT-based home automation offers a scalable, cost-effective solution to improve the quality of life and resource management. This study contributes to the development of sustainable and intelligent home systems for modern living.

This research aims to design a web server-based heart rate monitoring system, which enables real-time heart rate monitoring from a remote location. The system utilizes a heart rate sensor connected to a microcontroller to measure and transmit heart rate data to a web server via an internet connection. The data obtained can be accessed directly by the user through a web-based interface, thus facilitating the monitoring of individual health conditions in an efficient manner. In addition, the system is equipped with a notification feature that alerts the user if any irregularities in the heart rate are detected, such as beating too fast or slow. As such, the system has the potential to increase alertness and speed up medical action if needed. The development of this system shows significant potential in supporting technology-based health applications, both for personal use and in a broader healthcare context. It is hoped that the system can contribute towards the development of more integrated and accessible health monitoring solutions.      

Oka Jamur Bali is one of the oyster mushroom cultivation farmers. Lack of efficiency in regulating temperature and humidity in mushroom barns is an important factor in the growth of mushroom fruiting bodies. This condition requires an innovative solution to regulate and monitor temperature and humidity in the barn area. This research aims to build a prototype using Arduino UNO, ESP32, DHT11, pump and Internet of Things (IoT) technology.  The monitoring system design uses Arduino UNO, NodeMCU ESP32, DHT11 and DC pump with 12V voltage. Arduino UNO functions as a control system to manage and control the temperature and humidity parameters of the mushroom barn environment with the DHT11 sensor used to accurately measure temperature and humidity. The combination of NodeMCU ESP32 and Arduino UNO aims for monitoring through the ThingSpeak platform which can be accessed with a smartphone connected to the internet network. Based on the results of the prototype of the automatic temperature and humidity control system, the system is able to measure the environmental conditions of the mushroom barn with humidity measurement results in the range of 79% - 82% and the average temperature during the test reached 29.35°C. The application of the system was able to reduce the temperature by 2.28% with an average temperature of 28.19°C and increase the relative humidity by 6.27% with an average humidity of 81.1% in the mushroom barn area. The results of income between the income generated by using the automatic temperature and humidity control system tool and the income of farmers without using the tool increased by Rp. 16,416.

This research develops a prototype of an automatic watering device based on the Internet of Things (IoT) and a soil moisture sensor to improve the efficiency of watering crops in agricultural fields. The main problem addressed is the consistency and efficiency of watering in large agricultural fields, where traditional management is prone to human error and inefficient water use. The developed prototype uses an ESP8266 microcontroller (NodeMCU) as the brain of the system connected to a Wi-Fi network, allowing remote monitoring and control via the Blynk application. A soil moisture sensor is used to detect soil conditions in real-time, triggering watering only when needed. This helps optimize water use and increase agricultural productivity sustainably. This research outlines the methodological steps from design, manufacturing, to implementation of the prototype in the field. Evaluation of the results shows that the system successfully regulates watering effectively based on soil conditions, with positive responses from farmers as end users.

The need for urban communities to consume vegetables is increasing. This has caused people to start cultivating vegetables using hydroponic techniques. However, due to their busy activities, they do not have enough time to monitor and control hydroponics, which must always be in ideal conditions. This paper designs and implements an Internet of Things-based monitoring system to help hydroponic owners monitor their hydroponics anywhere and anytime. The built system requires a monitoring device assembled using a NodeMCU ESP8266 microcontroller, a pH detection detector sensor, and a DHT22 temperature and humidity sensor. This system uses the Mamdani Fuzzy Logic algorithm to determine warnings to be displayed on the application interface when the water pH, temperature, and humidity are in certain conditions. The Mamdani Fuzzy Logic algorithm can interpret environmental data into a warning that humans can easily understand, even if they lack technical expertise. In addition to being able to help monitor, this system also allows owners to find out what elements need to be added or changed for their hydroponic place. Our evaluation results show that the defuzzification stage in the application has high accuracy, which is 99.92%, compared to Matlab’s results.

Floods are natural disasters that often occur in Indonesia and cause damage to property, infrastructure, and casualties. One of the main factors causing flooding is the failure of water management systems such as reservoirs to manage the sudden increase in water volume. This research aims to design an automatic reservoir sluice controller by utilizing Internet of Things (IoT) technology to reduce flood risk. The system uses a NodeMCU ESP8266 microcontroller and an HC-SR04 ultrasonic sensor to monitor the water level in real-time, as well as a servo motor that controls the sluices. The system is connected to the Blynk app, allowing remote monitoring and control of the sluice gates via mobile devices. This tool automatically adjusts the position of the sluice gate based on sensor data to keep the water level safe and reduce the potential for flooding. The test results show that this IoT-based automated system is able to work effectively in controlling sluice gates and can be used for flood disaster prevention in the surrounding environment.

Push Up is a physical activity carried out by individuals that aims to strengthen the muscles of the body, namely the muscles of the arms, shoulders and chest. Designing an IOT-based detection and monitoring system with the aim of making it easier for tool users to know the number of repetitions and the number of calories used automatically. Detectoring with the help of four proximity sensors to detect motion when doing push-ups and monitoring using an android application made specifically for the device. The component used is NodeMCU ESP8266 as a microcontroller. The parameters displayed in the application include a column of push-up repetitions, a column for the number of calories used, and a graph of increasing push-up repetitions. The tool testing method was carried out 15 times for data collection with 20 push-up repetitions for each data collection. The results of the test, obtained an error percentage of 1.33%. So that this tool can help users to monitor the repetitions that have been done and find out the amount of calories used.

Heart rate is an important indicator of overall heart health. Changes in heart rate can indicate underlying health problems, even before other symptoms appear, especially for the elderly population who are vulnerable to cardiovascular issues such as heart disease, stroke, and arrhythmia. Therefore, a heart rate monitoring device is needed that can monitor heart rate and allow early detection of such cardiovascular disorders. Along with modern technological advancements, heart rate monitoring devices are now available for everyone, but heart signal diagnosis still needs to be conducted by doctors or medical professionals. A heart monitor can be made using a heart rate sensor attached to a NodeMCU device. The Pulse Sensor, which functions to detect human heartbeats, can be placed in three measurement locations: on the finger, hand, or forehead. The data is then processed by NodeMCU, and the measurement results, which are Beats Per Minute (BPM), will be displayed on a website and stored in a database. The test results show that the average heart rate measurement using the device is 74 BPM, while the manual measurement is 74 BPM, with an accuracy of 97.74%, and it takes 60 seconds to display the average Beats Per Minute (BPM).

Fire is one of the incidents that disturbs homeowners because of the fire that will drain property and can claim lives when there is a lack of anticipation and minimal ignorance of the incident, such as when a fire occurs there is no early warning to the homeowner, this is also a cause of fire. The cause of the fire can be caused by a gas leak, electrical short circuit or caused by the community itself. Based on these problems, a solution is needed to create a safety system technology to be applied to the home kitchen, namely the design of an early detection system for fires based on the Internet Of Things (IoT) using ESP8266 which is useful for monitoring kitchen conditions and will automatically send a notification of the kitchen condition if the sensor reads an incident. The Hardware Design uses several tools consisting of ESP8266, Arduino R3. Jumper Cables, Fire Sensors, MQ-2 Gas Sensors, Mini Fans, Mini Water Pumps, Relays, Buzzers. and for the software design using Arduino IDE for system programming and Blynk as an application to display notifications. The designed system will be tested using black box testing which is used to determine whether the designed system will meet the specified parameters or not, and the results of the design state that the system is in accordance with the parameters used.

In the era of agricultural digitalization, dependence on Internet of Things (IoT) technology is increasing, yet supporting infrastructure remains vulnerable to connectivity disruptions. This research aims to develop an alternative protocol for IoT-based agricultural systems that can operate during internet connection failures, focusing on implementing a failsafe mode using NodeMCU ESP8266. The research methodology includes developing a monitoring system using soil moisture sensors and ultrasonic sensors for water level detection, as well as performance evaluation based on decision-making accuracy parameters, mode transition response time, and consistency in water management. Implementation results showed a 40,1% reduction in water consumption compared to traditional irrigation methods. The failsafe mechanism demonstrated sustained operations with 98% reliability in maintaining optimal soil moisture levels during 72-hour offline periods. This research contributes significantly to the development of smart agriculture through a cost-effective and scalable solution, particularly for areas with limited infrastructure that only require basic internet connectivity and minimal maintenance.

In the current era of globalization and technology, computers, RFID are examples of information technology tools that are indispensable for meeting human needs in almost every aspect of life, including the management of infrastructure and equipment lending.According to direct research at Widya Praja Ungaran Vocational School, there are only two workers who handle facilities and infrastructure. In carrying out their work assignments, they still experience difficulties. Excess workload and the process of borrowing tools that still lacks a sense of responsibility, so that the results of the work are not maximized.The existence of increasingly sophisticated technology, the management of infrastructure and equipment lending can be done with the help of technological tools that will be implemented in this school. This research aims to make it easier to administer, because this school has not yet added a new workforce.This research can be designed with the help of software (Bootstrap, MySql), programming (PHP, Arduino IDE) and equipment (NodeMCU ESP8266, RFID, LCD, I2C, buzzer, power supply, breadboard, jumper cables, resistors, LEDs) to provide data information. more accurate, effective, efficient and provide a good working atmosphere in this school. It is hoped that this research can reduce work overload and create a sense of responsibility in borrowing equipment, using local networks (wifi / handphone) and computers or laptops, with the research method used is research and development (R&D).

Main engine is the main driving engine. This research develops a ship's main engine temperature monitoring system using the Blynk application. Thermocouple sensors measure engine temperature and IR Sensor measure RPM, the data is processed by ESP32, and sent to the Blynk cloud server, this research aims to determine the design of a prototype intelligent monitoring system to detect the temperature of a ship's main engine using a Thermocouple sensor, NodeMCU ESP32 which operates at 3.3V power is used as the processing core data. The system design in this research integrates Internet of Things (IoT) technology. Test factors for thermocouple temperature measuring devices and RPM sensors (IR Sensors). The test procedure uses a dynamo as a simulation of the main engine, tested for 5-10 minutes under normal conditions and 5 minutes when the dynamo feels warm to hot.

Truckloader (TL) is a tool that functions to move Fertilizer from the weigher (where the weighing and bagging process is) to the place of the pallet or to the place of the truck bed. Broadly speaking, this tool is in the Bagging 1B unit area. This truckloader has a digital counter, namely a counter which has the function of calculating fertilizer from the weigher to the truckloader. From this counter, this will later be used as a reference or comparison. In order to find out the amount of fertilizer on the pallet or entering the truck body, on the other hand it is also use it for the technician team as a reference for preventive maintenance and replacement of spare parts. So far, counter checking is done manually by visiting the field and seeing it in person. For this, the Internet of Things is needed so that work is more effective and easier for the monitoring process. By using Senesore infrared proximity as input to the Arduino Uno as an electronic circuit controller and running programs, 16x2 LCD as a display of instructions from Arduino, NodeMCU as a liaison between the microcontroller and Ubidots and to display digital data from Arduino. This counter tool will later be used to monitor the amount of fertilizer passing through truckloader via the Ubidots web. This system can display data on Arduino that can be viewed via the Ubidots web that has been made.

Technological advances in the industrial era 4.0 mean that various things must prioritize convenience and efficiency in carrying out daily work such as carrying out automatic maintenance and control in the home. This has made many people able to produce various forms of technology that can be controlled automatically and help with work. people who can't take up much time. OT is a technology built to provide ease of work that can be connected to each other using the internet. One use of IoT technology is in the household sector to feed ornamental fish according to need and monitor remaining feed. This tool is designed for NodeMCU as control and an internet connection that is integrated with the Blink application. This tool consists of an HC-SR04 sensor input and a DS3231 RTC timer. The output of this tool uses a servo motor to open and close the contents of the fish feed. Arduino IDE software is used in NodeMCU coding and the Blynk application is used to connect the smartphone and NodeMCU. Based on the results of testing carried out, the system success rate has an average of 95% success. Meanwhile, the average delay is 0.052367 milliseconds.