Publication Search

Fire disasters can occur at any time in residential areas or schools, which are often triggered by electrical short circuits, the use of gas stoves, to minor negligence such as cigarette butts. As a preventive effort of Department of Education of Semarang, this research aims to create a prototype of a microcontroller-based early detection and fire suppression system with C programming. This tool uses NodeMCU as a control center that integrates fire sensors and DHT11 sensors to monitor room temperature in real-time. If the system detects any indication of fire or a significant temperature spike, a buzzer will activate as a warning alarm and the fan will work automatically to assist the initial extinguishing process.

Fire is an event that often occurs due to human negligence. Losses from fire include damage to goods, business delays and can even cause loss of life. For early handling of fires, a "Fire Fighting Control Design Using MQ-2 Sensor and Fuzzy Logic Based 5 Channel Flame Sensor" has been created. This tool uses the MQ-2 sensor to detect gases related to fires, such as hydrocarbon gas. A 5 channel flame sensor is used to detect flames. The predetermined fuzzy logic rules will be used to control the fire extinguisher and implemented using the Arduino Atmega 2560 microcontroller as the brain of the system. Next, the microcontroller will send a control signal to the 12V DC pump output as a water spray system to deal with fires. The test results of this system show that the tool can detect early fire hotspots and respond well to fire extinguishing according to the fuzzy rule decisions carried out by testing the tool with 30 fire spots at different distances.

Control and monitoring systems that use the Internet-of-Things (IoT) can be found in everyday life, for example, in smart home applications, smart transportation, and smart cities. IoT-based monitoring of environmental conditions both indoors and outdoors is generally carried out to reduce the risk of unwanted events. One example of an unwanted event is a fire. Fires can occur in houses, office buildings, rice fields, or forests. In order to help provide early warning of a flame that can cause a fire, this study aims to design and implement an IoT-based fire detection and warning system using the NodeMCU ESP8266 and a flame sensor. The sensor used is an infrared sensor that will detect infrared light radiation coming from a fire. The test results show that the system successfully detects the presence of fire up to 50 cm from the fire sensor and can be monitored via thinger.io. Additionally, notifications from thinger.io via e-mail and Telegram to users were successfully executed.

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.