This study aims to describe the stress coping mechanism of the academic scholars from the College of Education (COEd) in one of the private higher education institutions in Cabanatuan City, Philippines. This is an action research that focuses on the assessment of the academic scholars’ stressors and their correlates. It involves systematic observations and data collection that enables the researchers to reflect, decide and develop a training plan for stress management. The findings show that monthly family income and economic-related stressors were highly correlated. This further explains that students with high family income are less likely to experience frequent stress. In contrary, students who belong to low-income families are more prone to experience frequent stress. In other words, students who belong to poor families are more vulnerable to stress. Likewise, monthly family income and physiological responses to stress had high interdependence, which means that students with higher socio-economic status are less likely to experience severe anxiety, while students belonging to low-income families tend to experience severe anxiety. The results of this quantitative analysis served as basis in designing or preparing the stress management plan for these students. 

Two-factor authentication is a method of security that adds an extra layer of protection by requiring users to have two different authentication factors to verify identity. In recent years, institutions and organizations have become more concerned with the security aspects of their networks and systems, and one of these aspects is ensuring that the individual seeking access to the system is who he claims to be. With the advancement in technology and science over time, it has been seen that the safety and security of sensitive information or data transferred over the internet from one network to another has become increasingly relevant. The reliance on access to login accounts and the use of static passwords makes it easy for hackers, identity thieves, and fraudsters to gain access. Therefore, there is a need to find solutions to overcome the weaknesses to provide a more secure environment, hence, adding another step of authentication to individual identity makes it more difficult for an attacker to gain access to personal data. The proposed system generates dynamic password (OTP), which helps to add another level of security to the system against Dictionary attack, Brute-force attack especially Perfect-Man-In-The-Middle attack. The project used the Obafemi Awolowo University (OAU) e-portal login system as a case study. The system was implemented using the MySQL, CSS, HTML and PHP programming language and evaluated using reliability, effectiveness, efficiency, usability, expediency, and satisfactoriness as metrics. A questionnaire was formulated using a rating scale of 1 - 5, with 1 representing extremely poor and 5 representing excellent. The questionnaire was given to twenty (20) randomly selected students of OAU. The average score was determined and all the metrics scored higher than 4.0, which signifies a good rating. The system developed is a useful starting point for future development in security applications that require two-factor authentication. The result show that with the developed system, it can be assured that all logins are legitimate and that users are safe by verifying that the individual seeking access to the system is who he claims to be. A more user-friendly GUI is planned for the future and expanding the OTP algorithm such that password can be generated based on different cryptographic functions.

Business Process Outsourcing is a budding industry which currently employs millions of workers in the Philippines which draws applicants from undergraduate to professionals. It provides high-quality, well-paying jobs to millions of Filipinos while inspiring economic activity and investments all around. However, attrition rate of around 50 percent in the current year is a big challenge to predict employee turnover. This study came up with a model that can be adopted in the organization to predict possible attrition and guide the employers particularly the HR team in determining first-hand the type of applicant that they have by applying Data Mining techniques. The authors extracted significant predictors among the given data from a BPO company. Fast Correlation-Based Filtering Algorithm was performed to remove irrelevant data and increase learning accuracy. 1470 records with 21 attributes were initially provided and 17 were identified as significant after filtering and preprocessing of data was performed. The preprocessed data was used for model building with the application of Naïve Bayes Algorithm. The resulting model predicted percentage probability of hoppers and stayers. Among the 17 given variables, Total Working Years, Marital Status and Age ranked as the top predictors in determining possibility of attrition. The data was split into 60% training data or a total of 882 records and 40% testing data or a total of 588 records.  The predicted number of stayers is 542 or 92.2% and the predicted hoppers or who likely to resign are 46 or 7.8% The model was tested and evaluated to check accuracy of result through confusion matrix cross validation technique which yielded an accuracy percentage of 84.69%. 

Modern social processes largely depend on the nature of the forms of change in people's lifestyles under the influence of information technology. Information and communication technologies (ICT) affect not only the biological and social development of people, but also their emotional and psychological state, relationships with others, and worldview. A brief review of research in the field of social informatics and the problems mentioned in the article prove the relevance of creating a system of intellectual analysis of social processes. The purpose of the study is to develop a general model for the analysis of social processes. This article discusses research in the field of social informatics and identifies factors that affect social processes in society. The model of a system for analyzing social processes and social relations is proposed. The article consists of four parts: the first part, which is of a general nature, contains general information about social informatics; the second part examines social groups in society and their characteristics, and the third part is devoted to the classification of social processes. The fourth part proposes a new model for the intellectual analysis of social processes. The proposed modeling model, among other advantages, offers an effective solution to the problem of big data, which is the main problem in the analysis of social processes. The proposed approach can be useful for a correct understanding and forecasting of social processes in society. Since the identification of knowledge and forecasting in social processes is an important factor in social progress and the socio-economic development of society.

Involving students actively in the learning process is one of the ways that can be used in developing the learning objectives of mathematics which is to improve students' critical thinking skills. Students can be called have mathematical critical thinking skills if they have a way of thinking systematically, have an awareness in thinking, and have the ability to distinguish a truth from truth, and can provide arguments from a problem. In fact, students do not have the knowledge independently before the learning process begins so the students only expect new information at school. The lack of learning resources that are easy for students to understand makes learning still go in one direction and create passive learners. The impact is made students having difficulty in solving problems with varying level of difficulty due to insufficient time to finish it at school. These unsolved questions become independent tasks at home, and students become more difficult to solve it and caused students have not developed the ability to think critically mathematically yet. The purpose of this study is to create a product in the form of an effective learning video to improve students' critical thinking skills. The development model used is Model Plomp which consists of three phases, namely the initial investigation phase, the prototype development phase, and the assessment phase. The subjects of this study were class XI students and a mathematics teacher. Based on the results of observations during the learning process, students look active in discussions and can solve problems that are given systematically. The results of the final test of students 'critical thinking skills, the students' mathematical critical thinking skills increased to 87.87%. It shows that students have good mathematical critical thinking skills after using flipped classroom-based mathematics learning tools. So, it can be concluded that the flipped classroom-based learning device is effective to improve students' mathematical critical thinking skills.