scholarly journals Smart Monitoring and Controlling of COVID 19 using IOT, Big Data, Machine Learning

Author(s):  
Sonia Verma ◽  
Manoj Kumar Phadwas

Our goal is to develop an environment to monitor and controlling a corona virus of 2019 (COVID-19) with I2OT i. e. Intelligent Internet of Things. Analytics have changed the way disease outbreaks are tracked and managed, hence saving lives. Using technology smart sensor, facial recognition and location, existing surveillance cameras to identify, trace, and monitor people that may have contracted the coronavirus. The Internet of Things, a network of interconnected systems and advances in data analytics, artificial intelligence and ubiquitous connectivity can help by providing an early warning system to curb the spread of infectious diseases.

Author(s):  
Mohamad Jamil ◽  
Hafid Saefudin ◽  
Sarby Marasabessy

Forests have an important role in the life of living things. Nowadays forest fires (Karhutla) become a serious problem that can disrupt the symbiosis and life chain of living things. This problem has become a concern for the community, government and the world. Data obtained until August 2019 recorded 328,724 hectares and burned forest land. To overcome this problem, the government has made various efforts in the form of appeals or legal sanctions on actions that threaten forest sustainability whether carried out individually or in groups. Many cases of forest fires are known when a fire has occurred and little can be detected early. Information on the occurrence of many fires was obtained by residents around the location of the fire. To get the help of the fire department, community participation is needed, to contact the fire department so that they can anticipate the fire disaster early. The aim of this research is to develop a forest fire early warning system using the nodemcu module and the Telegram BOT with the Internet of Things (IOT) concept. Based on the test results of the Forest Fire early warning system using the Nodemcu module and the Telegram BOT with the concept of the Internet of Things (IOT) it is very helpful to provide quick information to find out fires that occur in the forest, by using the Internet of Things method, the officer will be able to know the conditions in real time, because this technology is capable of monitoring hardware using internet communication tools such as Telegram so that distance and location are not affected as long as the sensor used detects changes that occur.Keywords: Internet Of Things, Nodemcu, Telegram, Thingspeak, Forest fires


2018 ◽  
Vol 2 (2) ◽  
pp. 99
Author(s):  
Nanang Maulana Yoeseph ◽  
Arif Purwo Nugroho ◽  
Andri Adi Nugroho ◽  
Agung Eko Saputro

<em>Flood disaster is a natural disaster that causes many losses, both soul and meteriil. Bengawan Solo River is one of the rivers that every year experiencing flood disaster. To improve preparedness for flooding in solo bengawan river, a flood early warning system was created using the Internet of Things (IoT) technology. This system consists of a water level detector, using ultrasonic sensors and arduino uno, and iot servers. Information about the water level of the bengawan solo river can be accessed by users through the website and android. Users will get river water level infromation in real time. Warning level can be set independet for each user. Flood warnings are sent using sms and notification messages for android versions.</em>


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