scholarly journals Sistem Peringatan Dini Banjir Secara Real-Time Berbasis Web Menggunakan Arduino dan Ethernet

2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Dedi Satria ◽  
Syaifuddin Yana ◽  
Rizal Munadi ◽  
Saumi Syahreza
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Real Time ◽  
Early Warning ◽  
Major Influence ◽  
Google Maps ◽  
Flood Monitoring ◽  
Arduino Uno ◽  
Internet Of Things Technology ◽  
Monitoring Information

a b s t r a c tThe development of flood early warning technology has grown rapidly. The technology has led to an increase in technology in terms of communication and information. Internet of Things technology (IoTs) has provided a major influence on the development of early warning information system. In this article a protipe-based flood monitoring information system of Google Maps have been designed by integrating Ultrasonic sensors as the height of the detector, the Arduino Uno as a processor, U-Blox GPS modules Neo 6 m GSM module and as the sender of data is the height of the water and the coordinates to the station of the system informais flood. The design of the prototype produces information flood elevations along with location based Google Maps interface.Keywords:Flood, Arduino, Internet of Things Technology (IoTs), Ethernet a b s t r a kPengembangan teknologi peringatan dini banjir telah tumbuh dengan cepat. Teknologi tersebut telah mengarah kepada peningkatan di segi teknologi komunikasi dan informasi. Teknologi Internet of Things (IoTs) telah memberikan pengaruh besar terhadap perkembangan sistem informasi peringatan dini. Didalam artikel ini sebuah protipe sistem informasi monitoring banjir berbasis Google Maps telah dirancang dengan mengintegrasikan sensor ultrasonik sebagai pendeteksi ketinggian, Arduino Uno sebagai pemroses, modul GPS U-Blox Neo 6m dan modul GSM sebagai pengirim data ketinggian air dan koordinat ke stasion sistem informais banjir. Perancangan prototipe menghasilkan informasi ketinggian banjir beserta lokasinya berbasis antarmuka Google Maps.Kata Kunci: Banjir, Arduino, Internet of Things Technology (IoTs), Ethernet

scholarly journals Prototipe Sistem Informasi Monitoring Kebakaran Bangunan Berbasis Google Maps dan Modul GSM

2017 ◽  
Vol 1 (1) ◽  
pp. 33 ◽  
Author(s):  
Sri Safrina Dewi ◽  
Dedi Satria ◽  
Elin Yusibani ◽  
Didik Sugiyanto
Keyword(s):  
Information System ◽  
Information Systems ◽  
Real Time ◽  
Initial Conditions ◽  
Detection System ◽  
Early Warning Systems ◽  
Google Maps ◽  
Prototype Development ◽  
Fire Disaster ◽  
Arduino Uno

a b s t r a c tThe fire disaster was one of the disasters that frequently occurred in Indonesia. Fires often occur in particular in the area of dense population average is affected by the presence of shorting electric and gas leakage from household kitchens. many cases fires are known at the time of the fire, and little has happened can be detected early. Based on community-based information system that has been done today, then needed a fire disaster information systems that can provide information and notification in real-time in the form of initial conditions information from source fire and its location to the firefighter or the community effectively and efficiently. The purpose of the research was the design of a prototype fire information system building based Google Map using lines of communication the GSM module. The prototype was built using the DHT11 temperature sensor, Sensor Smoke MQ2, Arduino Uno, GPS module and GSM modem SIM9000. The research produces information systems monitoring fires in two systems namely fire detection system and information systems fire location based Google Maps. Both systems have been run in accordance with experiments that have been conducted resulting in fire occurrence data location information with data on the condition of the presence of smoke and temperature/temperature. And expected with this prototype development research community or parties associated with catastrophic fires can be helped to anticipate disasters and takes a lot of sacrifice.Keywords: Early Warning Systems, Fire, GSM, Google Maps, Arduino a b s t r a kBencana kebakaran merupakan salah satu bencana yang kerap terjadi di Indonesia. Kebakaran sering kali terjadi khususnya di kawasan padat penduduk yang rata-rata dipengaruhi oleh adanya korslet listrik dan kebocoran gas dari dapur rumah tangga. banyak kasus kebakaran diketahui pada saat sudah terjadi kebakaran dan sedikit dapat dideteksi lebih awal. Berdasarkan sistem informasi berbasis masyarakat yang telah dilakukan saat ini, maka diperlukan sebuah sistem informasi bencana kebakaran yang dapat memberikan notifikasi dan informasi secara real-time dalam bentuk informasi dari awal kondisi sumber kebakaran dan lokasinya kepada pihak petugas pemadam kebakaran maupun masyarakat secara efektif dan efesien. Tujuan penelitian adalah perancangan prototipe sistem informasi kebakaran gedung berbasis Google Map dengan menggunakan jalur komunikasi modul GSM. Prototipe dibangun menggunakan sensor suhu DHT11, Sensor Asap MQ2, Arduino Uno, modul GPS dan modem GSM SIM9000. Penelitian menghasilkan sistem informasi monitoring kebakaran dalam dua sistem yaitu sistem deteksi kebakaran dan sistem informasi lokasi kebakaran yang berbasis Google Maps. Kedua sistem telah berjalan sesuai dengan percobaan yang telah dilakukan sehingga menghasilkan informasi data lokasi terjadinya kebakaran beserta data kondisi adanya asap dan suhu/temperatur. Dan diharapkan dengan penelitian pengembangan prototipe ini maka masyarakat atau pihak terkait dengan bencana kebakaran dapat terbantu untuk mengantisipasi bencana yang lebih besar dan memakan banyak korban.Kata Kunci:Sistem Peringatan Dini, Kebakaran, GSM, Google Maps, Arduino

scholarly journals Visualization System for Water Levels and Environmental Conditions in the Flood Monitoring Information System

2019 ◽  
Vol 8 (11) ◽  
pp. 2904-2907
Keyword(s):  
Information System ◽  
Information Systems ◽  
Real Time ◽  
Communication System ◽  
Detection System ◽  
Visualization System ◽  
Detection Systems ◽  
Flood Monitoring ◽  
Flood Detection ◽  
Monitoring Information

Flood disaster is a national disaster that takes a lot of victims and material for now. The government nationally implements short-term programs to anticipate disasters by supporting the various government and private institutions in developing disaster mitigation systems to reduce sustainable casualties. Based on this support, this research aims to develop a flood monitoring information system by implementing a real-time flood visualization system. System development is done by making two systems, namely hardware-based flood detection systems that are used as client systems and software-based flood monitoring information systems as servers. Flood detection systems are built using ultrasonic sensors, temperature sensors, rain sensors, Arduino microcontrollers, and Sim900A GSM modules. On the flood monitoring information system server using the Xampp component as a server application and Gammu as an SMS application. The communication system between the two systems uses the SMS Gateway communication system. The parameter values sent through the flood detection system will be visualized by the server in the form of animation and text. From the research, it was found that the flood detection system as a client has been able to send flood data, temperature, and rain conditions in real-time. And flood monitoring information systems have been able to capture data from client systems and store them in MySQL DBMS

scholarly journals Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis

2020 ◽  
Vol 20 (S14) ◽  
Author(s):  
Bin Ma ◽  
Zhaolong Wu ◽  
Shengyu Li ◽  
Ryan Benton ◽  
Dongqi Li ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Sleep Apnea ◽  
Internet Of Things ◽  
Real Time ◽  
Early Warning ◽  
Smart Phone ◽  
Physiological Parameters ◽  
Classification Model ◽  
Support Vector ◽  
Obstructive Sleep

Abstract Background The breathing disorder obstructive sleep apnea syndrome (OSAS) only occurs while asleep. While polysomnography (PSG) represents the premiere standard for diagnosing OSAS, it is quite costly, complicated to use, and carries a significant delay between testing and diagnosis. Methods This work describes a novel architecture and algorithm designed to efficiently diagnose OSAS via the use of smart phones. In our algorithm, features are extracted from the data, specifically blood oxygen saturation as represented by SpO2. These features are used by a support vector machine (SVM) based strategy to create a classification model. The resultant SVM classification model can then be employed to diagnose OSAS. To allow remote diagnosis, we have combined a simple monitoring system with our algorithm. The system allows physiological data to be obtained from a smart phone, the data to be uploaded to the cloud for processing, and finally population of a diagnostic report sent back to the smart phone in real-time. Results Our initial evaluation of this algorithm utilizing actual patient data finds its sensitivity, accuracy, and specificity to be 87.6%, 90.2%, and 94.1%, respectively. Discussion Our architecture can monitor human physiological readings in real time and give early warning of abnormal physiological parameters. Moreover, after our evaluation, we find 5G technology offers higher bandwidth with lower delays ensuring more effective monitoring. In addition, we evaluate our algorithm utilizing real-world data; the proposed approach has high accuracy, sensitivity, and specific, demonstrating that our approach is very promising. Conclusions Experimental results on the apnea data in University College Dublin (UCD) Database have proven the efficiency and effectiveness of our methodology. This work is a pilot project and still under development. There is no clinical validation and no support. In addition, the Internet of Things (IoT) architecture enables real-time monitoring of human physiological parameters, combined with diagnostic algorithms to provide early warning of abnormal data.

Analysis of Things Technology to Promote the Dynamic Alliance Virtual Performance Evaluation

2014 ◽  
Vol 989-994 ◽  
pp. 5041-5044
Author(s):  
Hong Xia Zhang ◽  
Qiang Zhang
Keyword(s):  
Performance Evaluation ◽  
Internet Of Things ◽  
Real Time ◽  
Communication Technology ◽  
Data Communication ◽  
The Internet ◽  
Dynamic Alliance ◽  
Time Performance ◽  
Development Goals ◽  
Internet Of Things Technology

With the development of modern information and communication technology and network technology, modern enterprises choose to build virtual dynamic alliance to achieve business development goals. There are many uncertain relationships between the participating companies in the virtual dynamic alliance. These companies join together to accomplish a particular goal, but also has their own unique individual needs. Internet of Things is an important part of a new generation of information technology. Things technology is an extension and expansion of the network based on the Internet. Basis for building virtual dynamic alliance is the Internet. The enterprises participating in a virtual dynamic alliance communicate with each other relying on information communication technology. Internet of Things technology provides real-time performance evaluation data to the participating enterprises. This will ensure real-time performance data communication between the dynamic alliance enterprises relatively loose.

Usage of an early warning and information system Web-site for real-time seismicity in Iceland

2008 ◽  
Vol 47 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Deanne Bird ◽  
Matthew J. Roberts ◽  
Dale Dominey-Howes
Keyword(s):  
Information System ◽  
Real Time ◽  
Early Warning ◽  
Web Site

Facilities Vegetables Monitoring and Control System Design Based on WCF and Internet of Things

2014 ◽  
Vol 945-949 ◽  
pp. 2637-2640 ◽  
Author(s):  
Li Yan ◽  
Guo Wei Wang ◽  
Shui Fang Wu
Keyword(s):  
Environmental Factors ◽  
Internet Of Things ◽  
Real Time ◽  
High Yield ◽  
Monitoring And Control ◽  
Real Time Monitoring ◽  
Communication Interface ◽  
Temperature And Humidity ◽  
Sql Server Database ◽  
Internet Of Things Technology

The production of facilities vegetable affected significantly by environmental factors, therefore it require real-time monitoring information of light, air temperature and humidity, soil temperature and humidity, and timely early warning and controlling, to prevent irreparable damage. This study achieved real-time monitoring and timely warning of environmental factors, and optimal control of pumps and roller blinds in the Facility vegetable. We have adopted Internet of Things technology and WCF communication interface, the system through C # language and the SQL Server database to prepare. The application in Jilin Province Jinta Industrial (Group) Co.Ltd. has showed that the system is better, achieved the purpose of high yield income.

scholarly journals Flood Warning and Monitoring System Utilizing Internet of Things Technology

2019 ◽  
pp. 287-296
Author(s):  
Mohamad Syafiq Mohd Sabre ◽  
Shahrum Shah Abdullah ◽  
Amrul Faruq
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Sensor Node ◽  
Heavy Rain ◽  
Water Levels ◽  
Wireless Sensor ◽  
Current Status ◽  
Wireless Sensor Node ◽  
Flood Warning ◽  
Internet Of Things Technology

Flooding is one of the major disasters occurring in various parts of the world including Malaysia. To reduce the effect of the disaster, a flood warning and monitoring are needed to give an early warning to the victims at certain place with high prone to flood. By implementing Internet of Thing technology into the system, it could help the victim to get an accurate status of flood in real-time condition. This paper is develop a real-time flood monitoring and early warning system using wireless sensor node at a high prone area of flood. This system is based on NodeMCU based technology integrated using Blynk application. The wireless sensor node can help the victims by detecting the water levels and rain intensity while giving an early warning when a flood or heavy rain occurs. Basically, the sensor node consists of ultrasonic sensor and rain sensor controlled by NodeMCU as the microcontroller of the system which placed at the identified flood area. Buzzer and LED started to trigger and alert the victim when the flood had reached certain level of hazard. Data detected from the sensors are sent to the Blynk application via wireless connection. Victim will get to know the current status of flood and rain by viewing the interface and receiving push notification that available in Blynk application via IOS or Android smartphones. The flood level’s data sent to the email could help various organizations for further improvement of the system and flood forecasting purposes. After a test had been conducted, it was found that this prototype can monitor, detect and give warning with notification to the victim earlier before the occurrence of floods.

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