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The main problem with the water heating system on offshore platforms is the absence of water level monitoring and automatic overflow detection. This has the potential to cause hot water spills that endanger workplace safety and operational efficiency. This research designs and implements a water level monitoring system based on the Arduino Uno microcontroller with HC-SR04 ultrasonic sensors. The system is equipped with LED indicators, a buzzer alarm, and a 16x2 LCD to display water level status in real-time. Water levels are classified into three zones (low, medium, high), and overflow is detected if the water is within 3 cm of the sensor. Testing was conducted on a 5-liter simulation tank representing actual 500-liter tank conditions. Test results showed a reading accuracy of 96% and a quick system response to overflow conditions (<1 second). This system is economical, easy to develop, and highly applicable for offshore environments. In addition, this system can be integrated with IoT technology for remote monitoring.

The community's need for electric power is increasing and efforts to monitor electric power are to obtain information on the results of measurements of voltage and electric current. Based on the analysis of the measurement results, it can be concluded that (1) the current measurement is more optimal when using the SCT-013 current sensor, (2) the voltage measurement is more optimal when using the PZEM-004T voltage sensor, (3) the difference in measurements using the current sensor is greater than the difference with a voltage sensor.

Fires doesn’t know the place and time, they can happen anywhere and anytime. Some of the causes of fires are human error, electrical short circuit, cigarettes, stoves, etc. As a result, many parties suffered losses, both property, business entities, and casualties. Based on these problems, we need a system that is able to detect fires and take preventive action, namely notifications via the internet using the Blynk application. In this study, the parameters used are the temperature sensor, the MQ-2 smoke sensor and the flame sensor. The output of the system is a buzzer, LED, LCD, and Blynk app as notifications. The Fuzzy Logic method is applied to the system to control the Buzzer, LED, LCD and notification determinants to the Blynk application.

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign

The infrared detector (or IR detector) is an optoelectronic component and represents the core element of gas analyzers, flame sensors, devices of spectral analysis, as well as non-contact temperature measurement. pyroelectric infrared detectors work with  stabilization time  in a wide operating temperature range (-55 ... 85) °C, capable of measuring the slightest amounts of infrared radiation (as little as a fraction of a nW) with wavelengths between 1 µm and > 25 µm. The difference of the good pyroelectric or No good (NG) devices shown by graph of voltage offset operating that can check by manual using Digital Multi Meter or semi auto by using microcontroller One of importance measuring of IRD sensors  is Offset Voltage, stabilization of offset voltage indicate the sensor is stable with certain level value. Stabilization value measurement during measuring time means the average value not so much different with fluctuation value.  10 bit ADC on Atmega 328 that main microcontroller on Arduino Uno is capable to measure the Offset Voltage of IRD sensor and check the measurement values is within specification of IRD sensor.

Peristiwa kebakaran merupakan kejadian yang sangat umum terjadi, banyak faktor yang mempengaruhi, di antaranya ialah; hubung pendek arus listrik, kebocoran gas, putung rokok. Kebakaran yang terjadi pasti akan berujung pada kerugian baik itu kerugian materil maupun korban jiwa. Pencegahan sejak dini sangat diperlukan yaitu dengan penerapa sitem pendeteksi kebakaran atau alarm kebakaran. Rancangan alat pendeteksi kebakaran terdiri dari flame sensor sebagai pendeteksi api, sensor MQ-2 sebagai mendeteksi adanya asap dalam ruangan. Serta dilengkapi dengan mikrokontroler Arduino. Berdasarkan kedua sensor indikator kebakaran ini akan ditampilkan melalui LCD dan apabila terjadi kebakaran akan di iringi dengan suara peringatan dari buzzer. Uji coba sistem terlebih dahulu melalui software proteus 8 profesional dengan tujuan membangun suatu alat pendeteksi kebakaran secara otomatis menggunakan flame sensor dan sensor asap MQ2, yang dilengkapi dengan LCD LM016L berbasis mikrokontroller arduino. Hailnya mampu memberikan gambara kepada kalayak umum bagaimana sistem kerja dari alat pendeteksi kebakaran/ alarm kebakaran yang dapat di representasikan memalui software proteus.

Security is an aspect that is needed by all circles today. With security, it can reduce the risk of crime and worry about the crime. This study discusses a room monitoring camera system using a PIR sensor, if a movement occurs it will be detected by this sensor. To process it, NodeMCU is used, then using the Telegram Bot as a notification if a movement occurs. The way this system works is that the PIR sensor will detect the presence of people or not in the room that is given this security system, then NodeMCU will process the data to send notifications in the form of messages and the IP Camera will display live video broadcasts.

The community's need for electricity is getting higher, so alternative energy sources such as solar heat are needed to replace energy sources from fossil fuels in meeting electricity needs. In this paper we design a two-axis solar tracker with an LDR sensor. A sun tracking system is a unit that is combined into one to control the position of the tracking device with the aim of making the surface of the solar panel module always facing the direction of sunlight. This research discusses the Prototype of the Sun Tracking System in Arduino Based Solar Power Generation Systems to get maximum solar energy. This system will make solar panels move automatically so that sunlight absorption can be maximized. The main control uses Arduino nano which gets input values ​​from the LDR sensor then is processed to the output system. With the control system method can automatically be seen the difference in the results of a fixed solar panel with a solar panel with a tracker, from the comparison we get a solar panel with a tracker to get more optimal results.  

Hydroponics are now increasingly in demand, should be checked regularly so that hydroponic plants thrive. Likewise, in Siliwangi Indah Hydroponics Semarang, which still uses manual methods, namely the absence of a device that detects nutrient water temperature and pH automatically and the absence of tools that can normalize nutrients automatically. Arduino Uno R3 can be used to detect temperature automatically with a temperature sensor DS18B20, and detect pH with a pH sensor. Then the sensor readings are sent to the farmer's cellphone with SMS Gateway. The sensor readings are also used to divert the flow of nutrients from the spare reservoir, so that the nutrients remain normal. So this tool can automatically measure the nutrient water temperature and pH and replace the main nutrients to the reserve nutrients. And the assessment obtained from experts on this tool gets a value of 3.6 and from the expert gets a value of 3.7. Hydroponic nutrition in this study is maintained normally and farmers always know the nutritional state. So that the hydroponic plants thrive and have maximum yields.