The Republic Act (RA) No. 10173 of the Philippines, or also known as “Data Privacy Act of 2012” (DPA of 2012) was established to protect and to safeguard the individual personal data in an information and communications systems within the government and the private sector while keeping the fundamental human right to privacy of communication. The creation of the National Privacy Commission (NPC) as an independent body mandated to administer the DPA of 2012; to monitor and to ensure compliance with privacy, and to provide proper data protection procedures. This empirical qualitative research using case study approach aims to discover and describe why and how the country’s frontline agency ( Agency A ) complies with DPA of 2012. This paper also seeks to determine the challenges and better practices encountered by the agency relative to compliance and how far the level of commitment does Agency A has taken on. Results further showed that Agency A is Partially Compliant with the Act. It also encountered some challenges such as (a) lack of awareness, (b) wait-and-see attitude, and (c) time and resource constraints. Determinants of compliance like: (i) general deterrence, (ii) legitimacy of regulations, and (iii) reputation and publication had a compelling casual factor why it has conformed to the law. It is further recommended to conduct a follow-up study once the recent Information Systems Strategic Plan (ISSP) is available, vis-a-vis to March 8, 2018, extended deadline.

Parking space shortages are attributed to an increased density of vehicle presence in the urban context, necessitating the implementation of effective parking management strategies, especially in areas where facility expansion is constrained by limited land availability. Many parking facilities remain operationally inefficient and underutilized due to manual VP methods and having little access to parking resource utilization data. This study develops a DT-based SPMS integrating machine vision, data modeling, and DT technology to automate facility management operations. The system uses YOLOv7 for vehicle and License Plate Detection (LPD), and Deep Text Recognition–Scene Text Recognition (DTR-STR) for license plate recognition (LPR). The findings indicate an 89.89% accuracy for VP- and LPR-based occupancy tracking tasks, and 94.86% for vehicle detection or VD-based occupancy tracking. The system in the built environment comprises three features: (1) automated VP at parking entry and exit points, (2) occupancy monitoring through LPR, (3) Object Detection (OD) for occupancy tracking. The 3D BIM DT model in Autodesk Revit processes inference data from machine vision models to visualize parking activity.

Timetabling is a procedure of arranging examinations or class events into a specific time slot. Universities carriages many timetable recurring problems, one of which is the demand to schedule subject offerings with no collisions in space, time, and resources. At Caraga State University, scheduling was done by the department chairs, and the faculty carried out the enrolment. Based on the curriculum, the faculty evaluates the students' eligibility to take the specific subject and creates a conflict-free timetable based on the offered subjects and schedule plotted by the department chairs. The heavy involvement of faculty diverts their focus, accommodating enrolment requests instead of preparing their lecture for the upcoming opening of classes. With this, a web-based application using Django was developed to automate the student-subject encoding process.