Introduction

Malaysia Airlines Berhad (MAB) is the national carrier of Malaysia offering the best way to fly to, from and around Malaysia. The airline flies 40,000 guests daily on memorable journeys inspired by Malaysia’s diverse richness. Malaysia Airlines Berhad is one of the largest contributing segment of Air Transportation Services in Malaysia, the network carriers serving the global and domestic markets and all passenger segments. MAB Kargo also providing standard, express and special cargo.

Data mining is crucial for companies to remain competitive in this digital age. Data mining is used to increase company revenue, reduce costs, identify customers and provide better customer service. By using data analytics, it helps identify the correlation between variables and come out some useful insights. So that a high accuracy prediction could be made to improve the services.

Problem Statement

Flight delay has been the subject of several studies in recent years. With the increase in the demand for air travel, effects of flight delay have been increasing. Flight delay has been one of the major issues in the airline industry. It brings negative impacts to economy, airlines and also passengers.

Benefits bring to stakeholder (Airline company)

To identify factors that cause flight schedule delay

To investigate the relationship between scheduling information and flight delay

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