scholarly journals Utilization of the IoT-based early warning system (EWS) for early detection of floods in Setu District, South Tangerang City

2021 ◽  
Vol 6 (8) ◽  
pp. 1414-1419
Author(s):  
Wahyu Sejati ◽  
Ning Adiasih ◽  
Tjhwa Endang Djuana
Keyword(s):  
Early Detection ◽  
Water Level ◽  
Community Service ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Ultrasonic Sensor ◽  
Detection Tool ◽  
Flood Detection

Cisadane River is the largest river whose overflow often causes flooding in several locations in South Tangerang City. One of them is located in Pesona Serpong Housing, Setu District, South Tangerang City. The Cisadane Environmental Echo Community (GEMALA) is a community that cares about the sustainability of the Cisadane River. This community service aims to improve understanding of river maintenance and socialize the IoT-based Early Warning System (EWS) tool to the GEMALA community as an early flood detection tool. The method used is to use an ultrasonic sensor HC-SR04 which will measure the water level of the river and will send a signal via the Telegram messaging application. At the end of this activity, an IoT-based Early Warning System (EWS) tool was produced that could be utilized by the GEMALA community as an early flood detection tool.

scholarly journals Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor

2020 ◽  
Vol 4 (1) ◽  
pp. 230-235
Author(s):  
Novianda Nanda Nanda ◽  
Rizalul Akram ◽  
Liza Fitria
Keyword(s):  
Water Level ◽  
Early Warning ◽  
High Intensity ◽  
Rainy Season ◽  
Early Warning System ◽  
Detection System ◽  
Warning System ◽  
Level Sensor ◽  
Flood Detection ◽  
Internet Of Thing

During the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur.Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT).

scholarly journals IMPLEMENTATION OF EARLY WARNING SYSTEM IN NURSING WARD: A LITERATURE REVIEW

2021 ◽  
Vol 10 (1) ◽  
pp. 126-134
Author(s):  
Meli Diana ◽  
Dimas Hadi Prayoga ◽  
Dini Prastyo Wijayanti
Keyword(s):  
Early Detection ◽  
Early Warning ◽  
Scoring System ◽  
Early Warning System ◽  
Sudden Cardiac Arrest ◽  
Warning System ◽  
High Rate ◽  
Early Warning Score ◽  
Score System ◽  
Emergency Detection

Background: Hospital service is a process that involves all elements in the hospital including nurses and inpatient rooms or nursing wards. Different inpatient conditions will be treated in separated wards, by the same token patients with unstable conditions are admitted in intensive care units, this procedure aims to reduce the mortality incidence due to sudden cardiac arrest, therefore early detection of patients’ clinical deterioration using the early warning score system performed by the nurse in the nursing wards is required. Objective: This review study is a summary of the early warning system implementation in the nursing wards. Design: The data was obtained from international journal providers Proquest and Ebsco databases. The author accessed unair.remotexs.co website. Review Methods: Narative Review. Results: Early warning score is an effective intervention for emergency detection in patients. Conclusion: Early detection clinical emergency or known as the Early Warning Score System (EWSS) is the application of a scoring system for early detection of patient's condition before a worsening situation occurs. The implementation of this scoring system is necessary due to the high rate of deterioration of patient conditions that requiring immediate management to prevent profound deterioration and its subsequent adverse effect Keywords : Early warning system;nurse care;literatur;review

scholarly journals Pemberdayaan Perawat dalam Penerapan Nurse Early Warning System untuk Memantau Kondisi Pasien di Rumah Sakit

2020 ◽  
Vol 2 (2) ◽  
pp. 135
Author(s):  
Junaedi Yunding ◽  
Masyita Haerianti ◽  
Evidamayanti Evidamayanti ◽  
Evawaty Evawaty ◽  
Indrawati Indrawati
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Emergency Services ◽  
Vital Signs ◽  
Warning System ◽  
Independent Practice ◽  
Knowledge And Skills ◽  
Detection Tool ◽  
Service Institution ◽  
Implementation Method

AbstractSevere adverse events such as cardiac arrest and death are often marked by abnormal vital signs a few hours before the event. Majene Regional General Hospital is the only hospital in the Majene Regency and is a reference center for all puskesmas in the Majene and surrounding districts. As a health service institution that organizes health services, it is closely related to the responsibility of providing emergency services. The Nurse Early Warning System (NEWS) is a development in emergency services for patients treated in hospitals, which serves as an early detection tool so that if there is a decrease in the patient's condition it can be known earlier can be handled more quickly. The purpose of this activity is to increase the knowledge and skills of nurses in the application of the nurse early warning system (NEWS) in monitoring the condition of patients in the care room. The implementation method starts from identifying the problem, delivering material about NEWS, demonstrating the assessment of the patient's condition and the nurse's independent practice in using NEWS. The evaluation results of this activity are the increase in knowledge and skills of nurses using NEWS in monitoring the condition of patients in the care room.

scholarly journals GPS water level measurements for Indonesia's Tsunami Early Warning System

2011 ◽  
Vol 11 (3) ◽  
pp. 741-749 ◽  
Author(s):  
T. Schöne ◽  
W. Pandoe ◽  
I. Mudita ◽  
S. Roemer ◽  
J. Illigner ◽  
...  
Keyword(s):  
Water Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Deep Ocean ◽  
Ocean Bottom ◽  
Tsunami Early Warning ◽  
Tsunami Waves ◽  
Gps Technology ◽  
Water Level Measurements

Abstract. On Boxing Day 2004, a severe tsunami was generated by a strong earthquake in Northern Sumatra causing a large number of casualties. At this time, neither an offshore buoy network was in place to measure tsunami waves, nor a system to disseminate tsunami warnings to local governmental entities. Since then, buoys have been developed by Indonesia and Germany, complemented by NOAA's Deep-ocean Assessment and Reporting of Tsunamis (DART) buoys, and have been moored offshore Sumatra and Java. The suite of sensors for offshore tsunami detection in Indonesia has been advanced by adding GPS technology for water level measurements. The usage of GPS buoys in tsunami warning systems is a relatively new approach. The concept of the German Indonesian Tsunami Early Warning System (GITEWS) (Rudloff et al., 2009) combines GPS technology and ocean bottom pressure (OBP) measurements. Especially for near-field installations where the seismic noise may deteriorate the OBP data, GPS-derived sea level heights provide additional information. The GPS buoy technology is precise enough to detect medium to large tsunamis of amplitudes larger than 10 cm. The analysis presented here suggests that for about 68% of the time, tsunamis larger than 5 cm may be detectable.

scholarly journals Design and Implementation of Real-Time Flood Early Warning System (FEWS) Based on IoT Blynk Application

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Hasbi Nur Prasetyo Wisudawan
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Average Temperature ◽  
Flood Warning ◽  
Flood Warning System

Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks.  Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation.  Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.

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