Endes Hasan Aroeboesman Airport Sees Growth in Passenger Traffic

This paper, from a data analyst's perspective, structures key information about Ende (Hasan Aroeboesman) Airport in Indonesia, including geographical coordinates and IATA/ICAO codes. It explores the application value of this data in areas such as route optimization, market assessment, and emergency response, providing data support for decision-making in the aviation industry. The analysis aims to leverage airport data and geolocation to enhance aviation analytics and contribute to more informed strategies within the Indonesian aviation sector.
Endes Hasan Aroeboesman Airport Sees Growth in Passenger Traffic

For data analysts tasked with quickly understanding key information about H. Hasan Aroeboesman Airport in Ende, Indonesia, sifting through lengthy documentation would be inefficient. This article provides a structured airport data overview to facilitate rapid decision-making for aviation network optimization or market potential assessment.

Airport Basic Information

Also known as Ende Airport, H. Hasan Aroeboesman Airport serves as the primary aviation hub for Ende City on Flores Island, Indonesia. The following table summarizes the airport's key identification details:

Attribute Value
IATA Code ENE
ICAO Code WATE
Airport Name Ende (H. Hasan Aroeboesman) Airport
Country Indonesia

Geographic Coordinates and Positioning Analysis

Precise geographic coordinates are crucial for airport site evaluation, flight route planning, and emergency response. H. Hasan Aroeboesman Airport is located at:

  • Latitude: 8° 50' 57.44" S (Southern Hemisphere)
  • Longitude: 121° 39' 39.61" E (Eastern Indonesia)

These coordinates place the airport in the eastern region of the Indonesian archipelago. When combined with topographical and satellite data, analysts can examine surrounding environmental characteristics including terrain elevation, vegetation coverage, and proximity to nearby population centers. These factors influence aircraft safety during takeoff and landing, noise pollution considerations, and passenger accessibility.

Analytical Applications: Potential Use Cases

From an analyst's perspective, this information supports multiple operational scenarios:

  • Route Optimization: Geographic positioning combined with passenger volume data can improve existing routes or identify new potential connections. For example, evaluating demand for routes between Ende and major cities like Jakarta or Surabaya could justify increased flight frequency or direct routes.
  • Market Potential Assessment: The airport serves Flores Island and surrounding regions. Demographic analysis, economic development indicators, and tourism resources can help evaluate expansion or upgrade opportunities.
  • Emergency Response Planning: During natural disasters or crises, precise coordinates and operational details become critical for coordinating relief efforts, medical evacuations, or supply distribution.
  • Competitive Intelligence: Understanding Ende Airport's operations helps competing airlines develop more effective market strategies through analysis of flight schedules, pricing models, and customer satisfaction metrics.
  • Infrastructure Investment: Geographic factors and environmental conditions impact construction costs and operational efficiency, providing investors with comprehensive decision-making data.

Supplementary Data and Future Considerations

To develop a more comprehensive understanding of Ende Airport, analysts should consider additional datasets including:

  • Annual and monthly passenger volumes with peak period analysis
  • Cargo shipment metrics by volume and commodity type
  • Flight schedules including departure/arrival times and carrier information
  • Infrastructure specifications: runway dimensions, gate capacity, terminal size
  • Operational fee structures: landing charges, parking fees, passenger service costs

Integrating these datasets enables construction of sophisticated operational models to support airport management, airline operations, and government oversight. Future technological advancements in remote sensing, social media analytics, and mobile device tracking promise even more comprehensive, real-time operational insights to benefit aviation industry development.

Conclusion

This structured overview of Ende's H. Hasan Aroeboesman Airport highlights its geographic positioning and operational characteristics. From an analytical perspective, the information supports route optimization, market evaluation, and emergency preparedness applications. Continued data collection and analysis will provide increasingly sophisticated decision-support tools for stakeholders across the aviation sector, contributing to sustainable industry growth.