Fatigue is a physiological condition that has a high potential and can cause accidents in the workplace and in traffic internationally. This study aims to design and create a smart system that can detect fatigue using the MAX30102 sensor connected to the Internet of Things (IoT) platform. This system utilizes an ESP32 microcontroller that measures physiological parameters such as heart rate (BP…
Plastic bottle waste is one of the environmental problems that continues to increase due to the high use of single-use plastics in everyday life. This final project aims to design and develop a technology-based plastic bottle waste reverse vending machine to support an automated waste management process. The system uses an ESP32 microcontroller as the main control unit, equipped with a TFT LCD …
The increase in plastic waste, especially plastic bottles, is influenced by the high consumption of packaged beverages, while the processes of data collection and recording are still not optimally structured. This system was designed to develop the Plasticpay Point System dashboard integrated with a plastic bottle Reverse vending machine, where each inserted bottle is detected by an ESP32-based…
Air quality is one of the environmental issues that affects human health and ecosystems, making it necessary to have an air quality monitoring system that can provide accurate and consistent information. This study aims to implement a multi-parameter air quality monitoring system dashboard that covers carbon monoxide (CO), ammonia (NH3), ultraviolet (UV) radiation, temperature, and humidity par…
This study aims to implement a system for monitoring carbon monoxide (CO), ultraviolet (UV) intensity, and air quality parameters—specifically temperature and humidity—in outdoor environments using an ESP32 microcontroller. The system employs MQ-7, GY-ML8511, and BME680 sensors to collect real-time environmental data. Test results show that the MQ-7 sensor is capable of detecting carbon mon…
Air quality is an important factor that affects human health and comfort; therefore, a monitoring system capable of operating continuously is required. This study developed an Internet of Things (IoT)-based air quality monitoring device using the ESP32 as the main controller. Measurements were carried out using the Sharp GP2Y1010AU0F sensor to detect PM2,5 particles, the MQ-135 sensor to monito…
Outdoor environmental quality is influenced by several key parameters, such as ammonia (NH₃) levels, ultraviolet (UV) radiation intensity, temperature, and humidity. This study aims to implement an Internet of Things (IoT)-based outdoor environmental monitoring system using an ESP32 microcontroller with MQ-135, GY-ML8511, and BME680 sensors. Sensor readings are processed by the ESP32 and tran…
Medical metal waste such as syringes and scalpels are Hazardous and Toxic Waste (B3) which has the potential to cause injury, infection, and environmental pollution if not managed properly. This study aims to design and build a medical metal waste classification system based on ESP32-CAM with integrated inductive metal sensors to assist the automatic waste sorting process. The research method u…
Air quality is an important environmental element that needs to be continuously monitored, especially in urban areas. Air quality data collected from sensors is often not displayed in a website format that is easily accessible and understandable by users. This research aims to design and develop a website-based air quality dashboard using the Laravel framework. Data is obtained from various air…
Medical waste is a type of waste that requires special handling because it can affect health and the environment if not properly managed. One important stage in managing medical waste is sorting it by type. However, sorting, which is still done manually, can be prone to errors in categorising waste. Therefore, a monitoring system for sorting wet, dry, and metal medical waste based on the Intern…
Medical waste generated from operating rooms has the potential to pose risks to health and the environment if not properly managed. One of the important stages in medical waste management is the waste sorting process based on its characteristics. However, the sorting process is still largely carried out manually, which risks causing sorting errors and increasing direct contact with infectious w…
The development of Internet of Things (IoT) technology has encouraged the creation of monitoring systems capable of transmitting and displaying sensor data quickly and in real-time. Web-based sensor data streaming systems have become one of the solutions to simplify the process of monitoring environmental conditions through internet networks. This research focuses on the design and development …
Hypothermia is a condition in which body temperature drops below the normal limit because the body loses heat faster than it can produce it. This condition can be influenced by low environmental temperature and humidity, which may endanger human health. This study aims to design an Internet of Things (IoT)-based body and environmental temperature monitoring system with the implementation of Mam…
Monitoring vital signs such as heart rate, oxygen saturation, and body temperature is a primary indicator for the early detection of a person's health condition. However, conventional monitoring is often still manual and limited by distance, making it inefficient for continuous supervision. This research aims to design an Internet of Things (IoT)-based health monitoring system capable of presen…
Smart farming requires a reliable server infrastructure to handle real-time data requests. The use of a single server may cause overload and reduce service performance. This study aims to implement a Docker Swarm-based load balancing system for smart farming servers using Single Board Computers in the form of Raspberry Pi. The system architecture consists of one manager node and two worker node…
Monitoring outdoor air quality requires clear data visualization to enable rapid understanding of environmental conditions. This study develops an air quality visualization system using Streamlit based on CO₂, temperature, and humidity data obtained from the Air Quality Detection device. The data undergo preprocessing, quality classification, and analysis of trends and parameter correlations.…
Insider threat is one of the most challenging security threats to detect because the attacker possesses legitimate access rights to the system. This research aims to analyze an insider attack scenario that exploits legal access through the Secure Shell (SSH) service in the process of data acquisition and privilege escalation on a Linux system. The research method involves simulating insider act…
Fire is a serious threat that can cause significant material and human losses. Early detection of fire and identification of surrounding objects is crucial to minimize risk. In this final project, a real-time fire and object detection system was developed using HSV-based image processing to identify the typical colors of fire, and the YOLOv3 algorithm to detect various objects such as humans an…
Modern agriculture increasingly relies on technology to improve efficiency and productivity, one of which is through the application of the Internet of Things (IoT). This study aims to develop an IoT-based automatic irrigation system for tomato plants with real-time temperature and humidity monitoring. The system is designed using the DS18B20 sensor to measure environmental temperature and humi…
Tomatoes are a horticultural commodity whose quality and nutritional content are strongly influenced by their ripeness level. In practice, tomatoes are often sorted manually based on ripeness, which leads to inconsistent results due to the limitations of human visual perception. This problem highlights the need for an objective and fast tomato ripeness classification system. This study aims to …
This research succeeded in utilizing the T-Higrow sensor to read humidity and temperature values, by comparing the results with the Thermosoil sensor. The test results show that there is a difference in error values of 3.195% for humidity and 1.93% for temperature between the two sensors. Field measurements were carried out which resulted in the highest temperature of 36.5 at 10:00 AM and th…
Health is a fundamental aspect that every individual must pay attention to in order to maintain an optimal quality of life. Regular monitoring of bodily conditions serves as a preventive measure to detect potential health issues at an early stage, allowing for timely and appropriate intervention. With the advancement of digital technology, the integration of the Internet of Things (IoT) into he…
Device monitoring is an important part of IoT systems, especially for monitoring devices remotely. This study developed an IoT device monitoring system using the MQTT protocol based on a microcomputer. MQTT was chosen because it is lightweight and efficient with a publish-subscribe communication method. The Mosquitto broker is installed on a Raspberry Pi to manage communication between publishe…
Coffee is one of the superior plants whose real contribution to the national economy is as a source of income for farmers, a provider of industrial raw materials, a provider of job creation, and also a source of foreign exchange for the country. Even though coffee is not native to Indonesia, until now coffee has been widely cultivated on the island of Sumatra and several islands in Indonesia. I…
Perawatan tanaman di ruang tertutup seperti apartemen atau kantor sering mengalami kendala dalam menjaga kelembaban tanah dan suhu udara secara ideal. Pot konvensional tidak memiliki sistem pemantauan otomatis, sehingga diperlukan sistem pot pintar berbasis Internet of Things (IoT) yang dapat memantau dan mengendalikan kondisi tanaman secara real-time. Sistem ini menggunakan NodeMCU ESP32 yang …
The use of digital technology in the healthcare sector is rapidly expanding, including through platforms such as the Smart Health website, which provides online medical information and consultation services. As web-based systems become more widespread, the risk of cyberattack also increases. Two common types of attack are Brute Force, which attempts to crack user credentials by trying numerous …
Freshwater fish farming is a crucial sector in Indonesia's agriculture industry, yet manual feed management remains a major challenge in improving efficiency and productivity. This research aims to develop an Internet of Things (IoT)-based automatic feeding system capable of precisely scheduling and controlling the amount of feed delivered. The system is designed using the ESP32 microcontroller…
The advancement of technology has a significant impact on computer network security, particularly on web servers that are highly vulnerable to various cyber threats. Common attacks Brute Force attacks and Denial of Service (DoS) attacks, therefore a network security system capable of detecting these threats is essential. This project aims to implement an Intrusion Detection System (IDS) using S…
Irrigation systems in fish ponds play an important role in maintaining water quality and supports the creation of ideal conditions for fish growth. Handling water systems that are done physically is usually less effective because it requires consistent supervision. Therefore, this research aims to design and build an Internet of Things (IoT)-based fish pond automatic irrigation system that util…
Smart Farming is a modern agricultural concept that utilizes IoT technology to improve land management efficiency. This research designs an IoT-based soil moisture monitoring system using NodeMCU ESP8266 and a moisture sensor connected to RESTful Web Service. Moisture data is automatically sent to the server via HTTP, stored in the MySQL database, and managed by the Laravel backend. Monitoring …