Deploying an Algorithm Design to Analyze Guest Actions and Responses for the Development of a Guest Tracking System

Abstract

Paper based systems used nowadays by the front desk staff and security officers in organizations are unreliable, inaccurate and inefficient when not utilized properly. It is for the organization’s benefit to use an automated system that can enhance security and meet compliance mandates for the collection and auditing of guest data. By using the frequentist probability algorithm, the researcher was able to create a formula that is used to determine one’s action through the frequency of their events.

The study is a combination of developmental and descriptive nature. Developmental research has been defined as the systematic and logical study of design, development and evaluation of the software product were the requirements that must be met. Students and employees from Quezon City Polytechnic University of the Philippines served as the main source of data used in the study. The major instrument used in this study is a survey questionnaire. It is used to identify the acceptance and hindrance in state establishments.

The study was conducted in order to assess the level of physical security in Quezon City Polytechnic University.  The level of physical security manages the flow of guests in the university premises. A guest tracking system that was empowered by a predictive analytics using frequentist probability algorithm that was used to predict the next outcome of time-driven events and clustering algorithm where the idea was to describe data by extracting meaningful groupings or categories from a body of data that contains similar elements. The Guest Tracking System underwent a simulation test using the frequentist probability algorithm based on different scenarios.