According to National Center for Education Statistics, almost half of the first-time freshmen full time students who began seeking a bachelor’s degree do not graduate. The imbalance between the student enrolment and student graduation can be solved by early predicting and identifying students who are prone of not having graduation on time, so proper remediation and retention policies can be formulated and implemented by institutions. The study focused on the application of the ensemble models in predicting student graduation. Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread in order to improve the accuracy of predictive analytics and data mining applications. The study recorded an increase of classification accuracy in predicting student graduation using ensemble models and combining multiple algorithms.

With the consent of Bureau of Jail Management and Penology (BJMP), this project aims to provide a more efficient method of communication between inmates and their visitors and an improved scheduling system for online visitation. The project focuses on creating an application that will allow inmates and relatives to communicate via e-mail and video call. However, inmates and relatives must agree to the policy that their conversations will be under the surveillance of BJMP for security purposes. In order to develop the system, the developers used programming languages like PHP, SQL, and Java. The development of the system was done through scrum methodology since this is the most suitable approach for the developers. After developing the system, the developers were able to see how their system functions. Data regarding the functionality, usability, reliability, performance, and security of the system was gathered using questionnaires from 50 respondents who were composed of six BJMP officers, 24 FEU Tech students, and 20 people who are related with someone inside a jail. The developers learned that the system can still be improved in terms of reliability and usability because these are the factors that gathered an average score in their tally of answers from respondents. The developers recommend to future researchers that are going to tackle this kind of research to focus more on the efficiency of the system. The developers also recommend to provide more security features to further improve the security of the project.

Medicine intake, as prescribed by physicians and health care providers, is important not only for minimizing the risk of relapse but also to treating conditions and improving one’s overall well-being. However, adherence to a medication routine seems to be a problem for some people which is usually affected by a variety of factors such as hectic day-to-day activity schedules, poor prescription instruction, concurrent intake of multiple medications, and forgetfulness. Medication adherence has been then considered as one of the major medical problems globally. In such cases, a medical device that could alert and remind patients in taking their medicines on time will come in handy. Consequently, this study aimed to design and develop a pocket-sized electronic pillbox device using TFT LCD display, Arduino microcontroller, Piezo Buzzer (for sound notification), Eccentric Rotating Mass (for vibration notification), Lithium Ion battery as power source, and plastic organizer as the main body. The said pillbox device will act as a countermeasure for medication non-adherence particularly by patients under the case of polypharmacy. Thus, this study focused on the design and development of the prototype, hardware testing and system qualification only. Furthermore, this paper is part of a future study where the assessment and measure of device behavior and adherence will be conducted to compare whether the utilization of pillbox device has an impact to the people who are using it.