scholarly journals An Early Warning System on the Propensity of Survival and Failure of Non-life Insurance Firms in the Philippines (2002-2011)

2014 ◽  
Vol 16 (3) ◽  
pp. 36-43
Author(s):  
Eduardo T. Torno ◽  
◽  
Prof. Tomas S. Tiu
Keyword(s):  
Life Insurance ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
The Philippines ◽  
Insurance Firms

scholarly journals Developing an early warning system for storm surge inundation in the Philippines

2014 ◽  
Vol 2 (10) ◽  
pp. 6241-6270
Author(s):  
J. Tablazon ◽  
C. V. Caro ◽  
A. M. F. Lagmay ◽  
J. B. L. Briones ◽  
L. Dasallas ◽  
...  
Keyword(s):  
Storm Surge ◽  
Frequency Distribution ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Storm Surges ◽  
The Philippines ◽  
Coastal Areas ◽  
Japan Meteorological Agency ◽  
Series Data

Abstract. A storm surge is the sudden rise of sea water generated by an approaching storm, over and above the astronomical tides. This event imposes a major threat in the Philippine coastal areas, as manifested by Typhoon Haiyan on 8 November 2013 where more than 6000 people lost their lives. It has become evident that the need to develop an early warning system for storm surges is of utmost importance. To provide forecasts of the possible storm surge heights of an approaching typhoon, the Nationwide Operational Assessment of Hazards under the Department of Science and Technology (DOST-Project NOAH) simulated historical tropical cyclones that entered the Philippine Area of Responsibility. Bathymetric data, storm track, central atmospheric pressure, and maximum wind speed were used as parameters for the Japan Meteorological Agency Storm Surge Model. The researchers calculated the frequency distribution of maximum storm surge heights of all typhoons under a specific Public Storm Warning Signal (PSWS) that passed through a particular coastal area. This determines the storm surge height corresponding to a given probability of occurrence. The storm surge heights from the model were added to the maximum astronomical tide data from WXTide software. The team then created maps of probable area inundation and flood levels of storm surges along coastal areas for a specific PSWS using the results of the frequency distribution. These maps were developed from the time series data of the storm tide at 10 min intervals of all observation points in the Philippines. This information will be beneficial in developing early warnings systems, static maps, disaster mitigation and preparedness plans, vulnerability assessments, risk-sensitive land use plans, shoreline defense efforts, and coastal protection measures. Moreover, these will support the local government units' mandate to raise public awareness, disseminate information about storm surge hazards, and implement appropriate counter-measures for a given PSWS.

scholarly journals Analisis Pengaruh Rasio Early Warning System Terhadap Financial Solvency Pada Perusahaan Asuransi Jiwa Syariah Di Indonesia

2018 ◽  
Vol 8 (1) ◽  
pp. 12-23
Author(s):  
Kris Ulfan ◽  
Sutriswanto Sutriswanto ◽  
Gaguk Apriyanto
Keyword(s):  
Life Insurance ◽  
Early Warning ◽  
Early Warning System ◽  
Linear Regression Analysis ◽  
Warning System ◽  
Sampling Technique ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Growth Ratio

This study aims to examine the influence of the Early Warning System ratio which consist of surplus change ratio, claim load ratio, cost management ratio, liquidity ratio and premium growth ratio to financial solvency of sharia life insurance company in Indonesia period 2012 - 2016. The data used are secondary data obtained from the website of Asosiasi Asuransi Syariah Indonesia ( AASI ). Sampling technique used in this research is purposive sampling. The sample used in this research is 10 sharia life insurance companies . Hypothesis testing by using multiple linear regression analysis. The results of this study prove that financial solvency at the sharia fairyde 2012 - 2016, with an average value of 507.68% with a minimum financial solvency of 126.83 % and a maximum value of 2447.50 %. The variables that affect the financial solvency in this period of research are the ratio of claims expense and liquidity ratio which shows the negative and significant influence. Surplus change ratios, management expense ratios, the ratio of premium growth proved to be no significant effect on financial solvency . The ratio of Early Warning System in this study proved to have an effect on the financial solvency at the predictive ability level of 25.5% as shown in the adjusted R square value. Other variables not found in this research have influence to financial solvency equal to 74,5%.

MODIFIKASI ASESMEN EARLY WARNING SYSTEM UPAYA PENINGKATAN PENERAPAN KESELAMATAN PASIEN

2020 ◽  
Vol 6 (2) ◽  
pp. 112
Author(s):  
Veronika Hutabarat ◽  
Enie Novieastari ◽  
Satinah Satinah
Keyword(s):  
Action Research ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Planning Action

Salah satu faktor dalam meningkatkan penerapan keselamatan pasien adalah ketersediaan dan efektifitas prasarana dalam rumah sakit. Early warning system (EWS) merupakan prasarana dalam mendeteksi perubahan dini  kondisi pasien. Penatalaksanaan EWS masih kurang efektif karena parameter dan nilai rentang scorenya belum sesuai dengan kondisi pasien. Tujuan penulisan untuk mengidentifikasi efektifitas EWS dalam penerapan keselamatan pasien. Metode penulisan action research melalui proses diagnosa, planning action, intervensi, evaluasi dan  refleksi. Responden dalam penelitian ini adalah  perawat yang bertugas di area respirasi dan pasien dengan kasus kompleks respirasi di Rumah Sakit Pusat Rujukan Pernapasan Persahabatan Jakarta. Analisis masalah dilakukan dengan menggunakan diagram fishbone. Masalah yang muncul belum optimalnya implementasi early warning system dalam penerapan keselamatan pasien. Hasilnya 100% perawat mengatakan REWS membantu mendeteksi kondisi pasien, 97,4 % perawat mengatakan lebih efektif dan 92,3 % perawat mengatakan lebih efesien mendeteksi perubahan kondisi pasien. Modifikasi EWS menjadi REWS lebih efektif dan efesien dilakukan karena disesuaikan dengan jenis dan kekhususan Rumah Sakit dan berdampak terhadap kualitas asuhan keperawatan dalam menerapkan keselamatan pasien. Rekomendasi perlu dilakukan monitoring evaluasi terhadap implementasi t.erhadap implementasi REWS dan pengembangan aplikasi berbasis tehnologi

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