Monitoring System Building Plan for Risk of Civil Office

The development of increasingly rapid information technology requires companies to have a system that is able to provide data and information quickly and accurately. Tangerang Regency Education Office is a government agency in charge of controlling the education sector. In its business process, the Education Office still faces difficulties in obtaining reports on employment in periodic salary increases, because the system used is still using the help of Microsoft excel application software that is semi computerized, so that every data reported often has errors in providing civil servant salaries. Based on these problems Tangerang District Education Office is in dire need of an automated computer system that can control the regular salary increases of civil servants effectively and efficiently. As a tool to help in object-oriented programming language, Unified Modeling Language (UML) is used to describe the system, while data collection techniques use observation, interview, and literature study methods, so that the system can be monitored properly, effectively and efficiently using MySql databases, and PHP. Keywords: Staffing, Periodic Salary Increase, Controlling, Web

Implicit and explicit risk perception, affect, and trust : an investigation of food "traffic lights"

Obesity is a health problem in many developed countries and is a growing problem worldwide. In an effort to improve food choices the "traffic lights" nutritional labelling system has been developed. This system informs consumers of the relative (low, medium, high) levels of fat, saturated fats, sugar, and salt, along with energy information. There is debate over what type of thought processing drives perceptions of affect (or emotion) and risk regarding food products. These are System 1 (quick, intuitive) processing and System 2 (slower, deliberative) processing. In order to capture data on both types of processing, we used explicit and implicit measures (we developed an implicit measure of risk for this study). We also investigated the relationships of risk with affect, and trust. The results showed the presence of food "traffic lights" sometimes influenced both risk and affect perceptions but this was more pronounced for explicit measures. We also found that high risk was associated with negative affect, and low risk with positive affect, with larger effects when the “traffic lights” were present. We concluded that "traffic lights" can influence risk perception at both explicit and implicit levels but the influence was stronger if either the risk information was clear or the person was consciously evaluating the risk. Future research was discussed

Shadow Banking and Systemic Risk in Europe and China

We compare the European and Chinese shadow banking systems. While the European shadow banking system is better developed than the Chinese shadow banking system, herd behavior and other factors in European markets create systemic risk, which contributed in part to the financial crisis. Dispersion of risk across the "under-developed" shadow banking system in China has led to some cases of localized, concentrated risk, but not to systemic risk. We discuss proposed European shadow banking regulation and its implications for systemic risk, and discuss what lessons China might glean from such policies. We also discuss what lessons China's diverse and systemically uncoordinated shadow banking sector might provide for Europe

Behavioural compensation by drivers of a simulator when using a vision enhancement system

Technological progress is suggesting dramatic changes to the tasks of the driver, with the general aim of making driving environment safer. Before any of these technologies are implemented, empirical research is required to establish if these devices do, in fact, bring about the anticipated improvements. Initially, at least, simulated driving environments offer a means of conducting this research. The study reported here concentrates on the application of a vision enhancement (VE) system within the risk homeostasis paradigm. It was anticipated, in line with risk homeostasis theory, that drivers would compensate for the reduction in risk by increasing speed. The results support the hypothesis although, after a simulated failure of the VE system, drivers did reduce their speed due to reduced confidence in the reliability of the system

Towards Validating Risk Indicators Based on Measurement Theory (Extended version)

Due to the lack of quantitative information and for cost-efficiency, most risk assessment methods use partially ordered values (e.g. high, medium, low) as risk indicators. In practice it is common to validate risk indicators by asking stakeholders whether they make sense. This way of validation is subjective, thus error prone. If the metrics are wrong (not meaningful), then they may lead system owners to distribute security investments inefficiently. For instance, in an extended enterprise this may mean over investing in service level agreements or obtaining a contract that provides a lower security level than the system requires. Therefore, when validating risk assessment methods it is important to validate the meaningfulness of the risk indicators that they use. In this paper we investigate how to validate the meaningfulness of risk indicators based on measurement theory. Furthermore, to analyze the applicability of the measurement theory to risk indicators, we analyze the indicators used by a risk assessment method specially developed for assessing confidentiality risks in networks of organizations