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Social insurance was introduced in Malaysia in 1971 through Social Security Organisation (SOCSO). SOCSO administer 4 schemes such as Employment Injury Scheme (EIS), Employment Insurance Scheme, Self-Employment and Invalidity Pension Scheme (IPS).The main objective of this study to estimate the severity of SOCSO's IPS from 2019 till 2023 by using single linear regression. Statistically, the total IPS's claims payment had steadily increased since 1971 to 2014. On average, the total claims payment increased at a rate of 10% every year. This study suggested that a large part of the increase in IPS claims could be explained by population which active contributors, and the increase result from equalization of IPS services across the country. In addition, it seems that the claims of low and high care levels depend on different factors. The increase in IPS claims should be monitored carefully to identify underlying factors and to ensure sustainability of the funding system.

E-learning using Massive Open Online Courses (MOOCs) has attracted a great deal of attention among higher education providers. The use of MOOCs is one of the great ideas supported by the Malaysian Ministry of Education in making the standard of our country’s education system in line with global education. Today, there were a growing number of MOOCs that continually becoming available on commercial platforms such as Openlearning.com and MOOCs Universiti Teknologi MARA (UiTM). Like many other subjects, Mathematical Statistics is a challenging subject for teaching and learning. Certain skills in this subject require ongoing guidance on how to provide the best teaching. Hence, MOOCs for Mathematical Statistics has been created to provide knowledge and skills to teach mathematics and statistical modeling briefly, conveniently, and effectively. This study focuses on providing a general design for assessing learners who study Mathematical Statistics through MOOCs platform. The platform is developed in such a way that learners can discuss and reflect. The design of MOOCs is governed by the Guidelines for Development and Delivery of Malaysia MOOCs. With the development of these MOOCs, it is hoped that it could help learners to understand Mathematical Statistics in a more effective and efficient way.

Massive Online Open Course (MOOC) since its launch provides a wide selection of courses and learning modules. Openlearning.com said that more than 4000 MOOC from around the world, making it a very needed to get knowledge in addition to the traditional class or formal education. This is a growing number of MOOC which means that the mass has a passion for studying a variety of subjects’ virtual ways with their own levels and comforts. Although this amount is increasing, there is also concern that not all subjects and skills can be delivered and taught online. Like many language subjects, Basic Statistics and Probability is a challenging course for teaching and learning. This is because certain skills requiring ongoing guidance on how to provide the best teaching. Hence, Basic Statistics and Probability course has been created to provide knowledge and skills to teach fundamental of statistics and probability briefly, convenient, and effectively, according to MOOC’s requirements. This course is unique as its modules are organized for the first time to dominate the basic skills required in statistics and probability, then introduce the relevant tasks, and steps in ensuring the performance of the Basic Statistics and Probability verbally and in writing are effective. Presentation of this course promotes a smooth transition from understanding and using the basic skills to transfer these skills into reading, writing, and speaking about basic statistics and probability. It is hoped that ten (10) modules designed specifically help students to understand Basic Statistics and Probability faster and more effective. Basic Statistics and Probability course have the potential to become important in the teaching material at pre-university and University and to provide Statistics and Probability skills required for university students to implement the academic practice.

Articles you may be interested inA fast and accurate model for forecasting wind speed and solar radiation time series based on extreme learning machines and principal components analysis J. Renewable Sustainable Energy 6, 013114 (2014); 10.1063/1.4862488How bootstrap can help in forecasting time series with more than one seasonal pattern AIP Conf.Abstract. The Employment Injury Scheme (EIS) provides protection to employees who are injured due to accidents whilst working, commuting from home to the work place or during employee takes a break during an authorized recess time or while travelling that is related with his work. The main purpose of this study is to forecast value on claims amount of EIS for the year 2011 until 2015 by using appropriate models. These models were tested on the actual EIS data from year 1972 until year 2010. Three different forecasting models are chosen for comparisons. These are the Naïve with Trend Model, Average Percent Change Model and Double Exponential Smoothing Model. The best model is selected based on the smallest value of error measures using the Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). From the result, the best model that best fit the forecast for the EIS is the Average Percent Change Model. Furthermore, the result also shows the claims amount of EIS for the year 2011 to year 2015 continue to trend upwards from year 2010.