scholarly journals Understanding Nurses Experiences and Perception about The Implemention of Emergency Monitoring : A Qualitative Study

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Anja Hesnia Kholis ◽  
Nurul Hidayah ◽  
Ratna Puji Priyanti ◽  
Asri Asri ◽  
Agusta Dian Ellina
Keyword(s):  
Thematic Analysis ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Analysis Method ◽  
Purposive Sampling ◽  
Field Notes ◽  
Depth Interviews ◽  
Emergency Monitoring

 ABSTRACTEmergency monitoring in the hospital is very important to be carried out, as one form of responsibility for early detection of deterioration patients. The implementation of the Early Warning System in Hospital is still being evaluated by the quality of service to find out its effectiveness. The purpose of this study was to explore the experiences and perceptions of nurses about the implementation of emergency monitoring in hospital. This study was a qualitative design. Participants were 6 female team leader  nurses, with average age 35.3 y.o, and average working experience 11.3 years, used purposive sampling. Data were collected by in-depth interviews and field notes. Data were analyzed using thematic analysis method by Flick. The findings of the study identified 3 themes: (1) personal themes; (2) environmental themes; (3) Patient themes. The results showed that the implementation of emergency monitoring in the inpatients units in hospital was still not optimal. The implementation of the Early Warning System is expected to be carried out on an ongoing basis so that its implementation is effective. Socialization, training, supervision, and adequate infrastructure are needed as well as consistency algorithms for early identification of the patient's condition and getting immediate assistance.ABSTRAK Pemantauan kedaruratan di rumah sakit sangat penting dilakukan, sebagai salah satu bentuk tanggung jawab untuk deteksi dini kemunduran pasien. Penerapan Sistem Peringatan Dini di Rumah Sakit masih terus dievaluasi kualitas pelayanannya untuk mengetahui efektivitasnya. Penelitian ini bertujuan untuk mengetahui pengalaman dan persepsi perawat tentang pelaksanaan pemantauan kegawatdaruratan di rumah sakit. Penelitian ini merupakan penelitian kualitatif. Peserta penelitian adalah 6 perawat ketua tim wanita, dengan usia rata-rata 35,3 tahun, dan pengalaman kerja rata-rata 11,3 tahun, menggunakan purposive sampling. Pengumpulan data dilakukan dengan wawancara mendalam dan catatan lapangan. Data dianalisis menggunakan metode analisis tematik oleh Flick. Temuan penelitian mengidentifikasi 3 tema: (1) tema pribadi; (2) tema lingkungan; (3) Tema pasien. Kesimpulan: Hasil penelitian menunjukkan bahwa pelaksanaan pemantauan kegawatdaruratan di unit rawat inap rumah sakit masih belum optimal. Penerapan Sistem Peringatan Dini diharapkan dapat dilakukan secara berkesinambungan agar pelaksanaannya efektif. Dibutuhkan sosialisasi, pelatihan, supervisi, dan infrastruktur yang memadai serta konsistensi algoritme untuk identifikasi awal kondisi pasien dan mendapatkan bantuan segera.

scholarly journals Early Warning System of Tennis Sports Injury Risk Based on Mobile Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yupeng Li ◽  
Kitak Kim ◽  
Yu Ding
Keyword(s):  
Neural Network ◽  
Early Warning ◽  
Early Warning System ◽  
Injury Risk ◽  
Sports Injuries ◽  
Rbf Neural Network ◽  
Warning System ◽  
Sports Injury ◽  
Analysis Method ◽  
Tennis Players

In recent years, sports injuries in professional tennis players have gradually increased and sports injuries will break the sports training system and affect the long-term growth of new tennis players. Avoiding athlete injuries has become an important factor in improving training quality and game performance and ensuring the sustainable development of young tennis players’ competitiveness. Therefore, this article will use the RBF neural network algorithm and cluster analysis method to establish a tennis sports injury risk early warning model and finally establish a tennis sports injury risk early warning system so that tennis players can reduce their injuries. In this article, we use the questionnaire survey method, expert interview method, mathematical statistics method, and logical analysis method to investigate and analyze the results of training injuries of Chinese tennis players and coaches. The experimental results in this article show that among 48 tennis players of different ages, who are participating in formal training and tennis competitions, 15 young tennis players have been injured more than 6 times, accounting for 31.2% of the total; 20 have been injured 3 to 6 times, accounting for 41.7% of the total; 9 of them have been injured several times, accounting for 18.8% of the total; and 4 have been injured, accounting for 8.3% of the total. After using the tennis sports injury risk warning system based on the algorithm of RBF neural network in mobile computing, the tennis sports injury rate has dropped to 5%. It can be seen that the system has high feasibility and practicability.

Analysis and prediction of eutrophication for advanced warning of the water quality concerns in Gaoyou Lake

2019 ◽  
Vol 20 (1) ◽  
pp. 186-196
Author(s):  
Lei Zhang ◽  
Yu Cheng ◽  
Yulong Niu ◽  
Jiahu Jiang
Keyword(s):  
Water Quality ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Principal Component ◽  
Scientific Basis ◽  
Contribution Rate ◽  
Increasing Trend ◽  
Trophic Level Index

Abstract This paper used the trophic level index (TLI) method combined with the relevant data from 2014 to 2017 to evaluate the water quality of Gaoyou Lake. Meanwhile, based on principal component analysis (PCA) and multiple linear regression (MLR) models on chlorophyll a (Chla), this research developed predictions and an early warning scheme for eutrophication in Gaoyou Lake. The results showed the following: 1. The TLI of Gaoyou Lake showed a significant increasing trend, and the lake was in the state of light to moderate eutrophy. 2. According to the PCA eigenvalues that were greater than 1, principal components (PCs) with a cumulative contribution rate of 76.04% were obtained, and a linear model was further obtained: CChla = 6.146 + 1.209 (Score 1) + 0.583 (Score 2) + 1.095 (Score 3). 3. The credibility of the early warning system reached 75%, which met the requirements of this study. This study provides a scientific basis for the control of eutrophication and improvement of water quality.

scholarly journals Perubahan Kesiapsiagaan Masyarakat DAS Beringin Kota Semarang dalam Menghadapi Ancaman Banjir Bandang

2014 ◽  
Vol 2 (3) ◽  
pp. 231 ◽  
Author(s):  
Afrizal Novan Nurromansyah ◽  
Jawoto Sih Setyono
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Purposive Sampling

<p class="Abstract">Pada tahun 2010 terjadi banjir bandang besar di kawasan DAS Beringin Kota Semarang. Pasca kejadian tersebut, pemerintah bersama masyarakat Kota Semarang menjalankan program ketahanan kota melalui program Flood Early Warning System (FEWS) yang dilaksanakan di Kawasan DAS Beringin. Salah satu prioritas tindakannya adalah memperkuat kesiapsiagaan terhadap bencana. Penelitian ini bertujuan untuk menggambarkan perubahan upaya kesiapsiagaan yang terjadi setelah berjalannya program FEWS. Penelitian ini menggunakan pendekatan kualitatif. Metode sampling menggunakan metode <em>purposive sampling</em> dengan teknik analisis data menerapkan analisis deskriptif kualitatif. Hasil penelitian menunjukkan, perubahan kesiapsiagaan terjadi pada upaya pemahaman kebencanaan, mobilisasi sumber daya, sistem peringatan dini banjir bandang, dan perencanaan kesiapsiagaan. Pemahaman kebencanaan terjadi perubahan pada aspek sumber informasi pengetahuan dan aspek paradigma tindakan mitigatif bencana. Pada upaya kesiapsiagaan terkait mobilisasi sumber daya, perubahan terjadi pada aspek ketersediaan tim bencana, prosedur komando, aspek peran kelembagaan, aspek struktur kelembagaan, aspek skema komunikasi dan koordinasi, kesepakatan penggunaan alat dan manajemen komunikasi ke luar dan dalam wilayah.</p>

scholarly journals Pengaruh Likuiditas, Profitabilitas dan Leverage terhadap Prediksi Financial Distress

2019 ◽  
Vol 6 (01) ◽  
Author(s):  
Rina Erayanti
Keyword(s):  
Early Warning ◽  
Financial Distress ◽  
Financial Management ◽  
Early Warning System ◽  
Stock Exchange ◽  
Warning System ◽  
Business Development ◽  
System Model ◽  
Sustainable Business ◽  
Purposive Sampling

ABSTRACT The importance of financial management as a vital aspect of the company should be considered and managed properly if the company remains to maintain the sustainable business. Development of an early warning system model is needed to anticipate the financial distress, because this model can identify and improve the condition prior to the crisis. This research aims to examine the liquidity (CR, QR), profitability (ROI, ROE), leverage (DER, DAR), the effect of financial distress. The sample used in this research is the company's transportation, infrastructure and utilities sector in Indonesia Stock Exchange (BEI) for the period year 2012-2016. This research uses purposive sampling, which obtained 171 samples of observations from 39 companies. The hypothesis is examined by using regression logistic. The result shows that the ratio of ROI havesignificant effect on the company’s financial distress. While the CR, QR, ROE DER and DAR have no effect on the company’s financial distress. ABSTRAK Pentingnya pengelolaan keuangan sebagai aspek vital perusahaan benar-benar harus diperhatikan dan dikelola dengan baik jika perusahaan tetap untuk dapat menjaga kelangsungan hidup usahanya. Diperlukan pengembangan model sistem peringatan untuk mengantisipasi adanya financial distress, karena model ini dapat digunakan sebagai sarana untuk mengidentifikasikan bahkan untuk memperbaiki kondisi sebelum sampai pada kondisi krisis. Studi ini bertujuan untuk meneliti pengaruh likuiditas (CR, QR), profitabilitas (ROI, ROE), leverage (DER, DAR), terhadap prediksi financial distress pada perusahaan sektor transportasi, infrastruktur dan utilities yang terdaftar di Bursa Efek Indonesia periode tahun 2012-2016. Pengambilan sampel dengan menggunakan purposive sampling dan diperoleh sebanyak 171 sampel observasi dari 39 perusahaan. Pengujian hipotesis dilakukan dengan menggunakan regression logistik. Hasil pengujian hipotesis mununjukkan bahwa variabel ROI berpengaruh signifikan terhadap financial distress perusahaan. Sedangkan variabel CR, QR, ROE, DER dan DAR tidak berpengaruh terhadap financial distress perusahaan.

scholarly journals Implementation of a modified obstetric early warning system to improve the quality of obstetric care in Zimbabwe

2016 ◽  
Vol 136 (2) ◽  
pp. 175-179 ◽  
Author(s):  
Abi Merriel ◽  
Bobb T. Murove ◽  
Samuel W.D. Merriel ◽  
Thabani Sibanda ◽  
Sikangezile Moyo ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Obstetric Care ◽  
Quality Of Obstetric Care

scholarly journals KAJIAN APLIKASI PANTULAN SINYAL GNSS UNTUK PEMANTAUAN KETINGGIAN PERMUKAAN AIR LAUT

2019 ◽  
Vol 16 (2) ◽  
pp. 138
Author(s):  
Buldan Muslim ◽  
Charisma Juni Kumalasari ◽  
Novie Chiuman ◽  
Muhammad Ichsan Fadhil Arafah
Keyword(s):  
Data Analysis ◽  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Reference Station ◽  
Ocean Current ◽  
Analysis Method ◽  
Tsunami Early Warning ◽  
Data Analysis Method

Design and experiment of ocean current power generation system have been carried out using the Bach In Indonesia, the tsunami early warning system only applies the earthquake and hydrosphere relationship model to predict tsunamis. To date, no tsunami detector has used radar or GNSS technology. GNSS technology can be applied as an early warning system for tsunamis, provided that tsunamis are caused by earthquakes greater than 7 magnitudes, occur 70 kilometers below sea level, and are caused by normal faults. This could be an alternative to Bouy GNSS which is expensive to install and maintain, especially for countries with vast oceans such as Indonesia. In this paper, a review of the application of GNSS signal reflection was carried out using one International GNSS Service (IGS) station, JOG2, and one Continuously Operating Reference Station (CORS), CLSA, each located in Java and Sumatra to investigate the availability of sea level monitoring in Indonesia. Determination of sea level is obtained from two methods, the GNSS signal phase data analysis method and the GNSS Signal-to-Noise Ratio (SNR) data analysis method. Both methods use reflected GNSS signals or multipath effects to obtain sea level. The results of the study show that the number of satellites that pass through Indonesia every 15 minutes is enough to get sea-level data  every 15 minutes to one hour. This shows that it is possible to apply the multipath effect to obtain sea level information in Indonesia to detect tides and tsunamis as part of the tsunami early warning system in Indonesia.

Sign in / Sign up

Export Citation Format

Share Document