scholarly journals Development and Optimization of NoSQL Database in Food Insecurity Early Warning System Based on Local Community Participation

2020 ◽  
pp. 161-168
Author(s):  
Yani Nurhadryani ◽  
Wiradani Ramadhan ◽  
Auzi Asfarian
Keyword(s):  
Response Time ◽  
Food Insecurity ◽  
Early Warning ◽  
Early Warning System ◽  
Local Community ◽  
Warning System ◽  
Large Area ◽  
Nosql Database ◽  
Before And After ◽  
Database Service

As a part of the food insecurity early warning system based on local participation, a robust and scalable database service is required. This necessity caused by the large area of services which include 34 provinces, 416 districts, 7,215 sub-districts and 80,534 villages in Indonesia. The abundant number of the expected daily transaction might not be handled properly using the traditional model. In this research, we design, implement, and optimize the NoSQL database to create scalable, dynamic, and flexible database service for the early warning system. The cohesion of the model is then measured, resulting in 5 entities with high cohesion, 16 with moderate cohesion, and 3 with low cohesion. After refactoring, we reduced the number of the low-cohesion entity into one and increased the average cohesion from 0.62 to 0.67. An empirical experiment was conducted to compare the response time before and after the refactoring. As the results, the average response time is decreased from 11.0 ms to 7.99 ms or equal to 1.38 in speedup. The experiment results suggest there is an impact of the logical data model improvement, by increasing their cohesion, to the performance of the NoSQL database.

scholarly journals Development and Optimization of NoSQL Database in Food Insecurity Early Warning System Based on Local Community Participation

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Yani Nurhadryani ◽  
Wiradani Ramadhan ◽  
Auzi Asfarian
Keyword(s):  
Response Time ◽  
Food Insecurity ◽  
Early Warning ◽  
Early Warning System ◽  
Local Community ◽  
Warning System ◽  
Large Area ◽  
Nosql Database ◽  
Before And After ◽  
Database Service

As a part of the food insecurity early warning system based on local participation, a robust and scalable database service is required. This necessity caused by the large area of services which include 34 provinces, 416 districts, 7,215 sub-districts and 80,534 villages in Indonesia. The abundant number of the expected daily transaction might not be handled properly using the traditional model. In this research, we design, implement, and optimize the NoSQL database to create scalable, dynamic, and flexible database service for the early warning system. The cohesion of the model is then measured, resulting in 5 entities with high cohesion, 16 with moderate cohesion, and 3 with low cohesion. After refactoring, we reduced the number of the low-cohesion entity into one and increased the average cohesion from 0.62 to 0.67. An empirical experiment was conducted to compare the response time before and after the refactoring. As the results, the average response time is decreased from 11.0 ms to 7.99 ms or equal to 1.38 in speedup.The resulting database is then used as a part of database services in our early warning system.

scholarly journals Perbandingan Kinerja Keuangan Perusahaan Asuransi Syariah Berdasarkan Early Warning System dan Risk-Based Capital pada PT Asuransi Jiwa Syariah Jasa Mitra Abadi Tbk Sebelum dan Sesudah Go Public

2020 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Hizrina Awaliyah ◽  
Benny Barnas
Keyword(s):  
Financial Performance ◽  
Early Warning ◽  
Early Warning System ◽  
Insurance Industry ◽  
Descriptive Analysis ◽  
Warning System ◽  
Going Public ◽  
Financial Ratio ◽  
Financial Ratio Analysis ◽  
Before And After

The sharia insurance industry in 2019 experienced a slowdown, as seen from the indicators of assets, contributions and gross claims. In the sharia insurance industry, the only company that has gone public is PT Asuransi Jiwa Syariah Jasa Mitra Abadi Tbk. This study aims to determine how the company's financial performance is, and to find out whether there are differences in the company's financial performance before and after going public for the 2015-2019 period. The research method used is financial ratio analysis using the Early Warning System (EWS) and Risk Based Capital (RBC) methods. The data analysis method used is a comparative descriptive analysis with a quantitative approach. The results showed that the company's financial performance after going public did not improve significantly.

scholarly journals PENGARUH EDUKASI EARLY WARNING SYSTEM (EWS) TERHADAP RESPON TIME PERAWAT DI IGD BRSUD KABUPATEN TABANAN

2021 ◽  
Vol 16 (2) ◽  
pp. 358-363
Author(s):  
Ni Made Budiari ◽  
I Made Dwie Pradnya Susila ◽  
Gede Arya Bagus Arisudhana
Keyword(s):  
Response Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Sampling Technique ◽  
Fast Response ◽  
Bivariate Analysis ◽  
Time Data ◽  
Process Indicator ◽  
Computerized System

Emergency patient care is a service that requires immediate service, namely fast, precise, and accurate to prevent death or disability. One of the indicators of service quality is in the form of response time, which is a process indicator to achieve the outcome indicator, namely survival. To achieve a fast response time, a systematic approach system is needed in dealing with patients who experience emergencies, one of which is by using the Early Warning System (EWS). This study aims to determine the effect of early warning system education on the response time of nurses in Emergency Room Tabanan Hospital. This study used an experimental method with a pre-experimental design (one-group pre-test-posttest design) involving 39 samples selected by total sampling technique. Data collection in providing EWS education is in the form of modules, and the research material is in the form of a clock used to measure the response time. Data analysis uses a computerized system with univariate and bivariate analysis. This study showed that the response time for nurses before the early warning system education was fast, namely 15 (39.5%). Most of the nurses' response time after the early warning system education was 26 (66.7%). The results of this study can be concluded that there is an effect of early warning system nurse education on the response time of nurses with a significance value (p) of 0.000.

scholarly journals An integrated methodology to develop a standard for landslide early warning system

2016 ◽  
Author(s):  
Teuku Faisal Fathani ◽  
Dwikorita Karnawati ◽  
Wahyu Wilopo
Keyword(s):  
Early Warning ◽  
Disaster Preparedness ◽  
Early Warning System ◽  
Local Community ◽  
Warning System ◽  
Disaster Mitigation ◽  
Guidance System ◽  
Central Java ◽  
Response Team ◽  
Landslide Early Warning

Abstract. Landslides are one of the commonly occurring natural disasters with worldwide susceptibility. Some distinct features of these disasters are that the affected area has a high density of population, low accessibility and the locals have low level of knowledge about disaster mitigation. Considering these conditions, it is necessary to establish a standard for an early warning system specific to landslide disaster risk reduction. This standard is expected to be the guidance system in conducting detection, prediction, interpretation, and response in landslide disasters. This new standard introduces the seven sub-systems for landslide early warning, starting with risk assessment and mapping, dissemination and communication, establishment of disaster preparedness and response team, development of evacuation map, standardized operating procedures, installation of monitoring and warning services, and building a local commitment to the operation and maintenance of the entire program. Since 2012, Indonesia has implemented a trial for the seven sub-systems in 20 landslide-prone provinces throughout the country. An example of the application of the proposed methodology in a local community in Central Java, Indonesia is also described.

scholarly journals Whistleblowing System and Fraud Early Warning System on Village Fund Fraud: The Indonesian Experience

2019 ◽  
Vol 10 (6) ◽  
pp. 211
Author(s):  
Sugeng Wahyudi ◽  
Tarmizi Achmad ◽  
Imang Dapit Pamungkas
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Local Community ◽  
Warning System ◽  
Preventive Strategy ◽  
Community Members ◽  
Central Java ◽  
Sequential Technique ◽  
Central Java Province

This research aims to investigate the effectiveness of village fund fraud prevention models by analyzing the implementation of the Fraud Early Warning System (FEWS) and whistleblowing system to good village governance towards clean government. This study used a descriptive qualitative research method by conducting interviews to explore more information about the problems of preventing village fund fraud. The paradigm used is the interpretive and methodology paradigm used to express meaning is phenomenology to describe and explain how behavior in the implementation of FEWS and the whistleblowing system against village fund fraud. Determination of informants was carried out with a sequential technique, namely all village officials and communities involved in managing the process of allocating village funds in Sumowono Subdistrict, Central Java Province, Indonesia as research informants. The population of this study was 105 village officials and community members from 16 villages in Sumowono District. This study shows that in managing village fund fraud, complaints about village fund fraud were mainly driven by courage from the local community in their respective villages. The strategy to reduce fraud is to provide opportunities for the community to implement FEWS and the whistleblowing system as a preventive strategy to prevent village fund fraud. FEWS and wshistleblowing system activities in village funds also face various challenges. The implementation of the FEWS and the effective whistleblowing system, the fraudsters will think again whether to continue fraud or cancel the behavior.

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