Room Management based Machine Learning and Data Analytics: Concept Overview

Abstract

In managing room management, it is often done traditionally based on human observation and experience. Still, nowadays, technologies such as Machine Learning, Artificial Intelligent, Data Analytics, robotics, Augmented Reality/Virtual Reality, and automation has rapidly changed the way people do work. The future of work is a rethinking of how work can be done. This is a fundamental shift in the work model to a model that encourages collaboration between machines and people, thereby enabling new skills and work experiences and supporting an environment that is not limited by time and physical room. This study aims to create a concept in building a room management/scheduling system assisted by Machine Learning algorithms to produce web-based centralized room management equipped with a feature of rarely used or even empty room recommendations. The method used in this study is a qualitative method because it can directly present the relationship between researchers and respondents more sensitively. It is hoped that with a measurable and directed concept, the system can be realized precisely.