Airport Management needs data on Passenger Volume. Passenger Volume varies annually, monthly, weekly, daily, and hourly. A different aspect of Airport Management needs different data on Pasengger Volume Variation. Each airport has its Variation Characteristics. Kilimanjaro International Airport is a unique airport, as it is located close to a Mountain Kilimanjaro. Knowing it’s Passenger Volume Variation is important. Three Variations have been observed, the monthly, the weekly, and the hourly. The monthly variation shows that the high season happens from July to October. Based on three months of data, the weekly variation shows the inconsistency of the variation pattern. The weekly index of variation could not be developed. While the daily variation shows that high daily volume exists from Friday to Sunday.

ACI (2019). ACI Annual Report 2019, https://store.aci.aero/form/aci-annual-report-2019/

Ahyudanari, E. & Vandebona, U. (2009). Design of Airport Check-in Area: An Alternative Method. VDM Verlag. Germany.

Arblaster, Margaret (2018). Air Traffic Management: Economics, Regulations, and Governances. Elsevier. Amsterdam/

Çuhadar, Murat (2014). “Building Proper Forecast Model for Daily Passenger Demand: A Study of Antalya International Airport”. Conference Proceedings – International Antalya Hospitality Tourism and Travel Research, Porto Bello Hotel, Antalya, Turkey, 9-12 December 2014.

Hamzah, Dewanti, Muthohar, I. (2020). “Evaluation of Terminal Service Evaluation at Mopah Class I Airport Merauke”. Jurnal Manajemen Aset Infrastruktur & Fasilitas 4(2) April 2020.

Horonjeff, R. & McKelvey, F.X. (1994). Planning and Design of Airport. Fourth Edition. McGraw-Hill Inc. New York.

ICAO Doc. 7910. ICAO Doc 7910, Location Indicators, 165th edition, September 2017. International Civil Authority Organisation (ICAO)

Lestari, Dewanti, Priyanto, S. (2020). “Factors Affecting Air Transport Route Development of Sumenep-Surabaya Vice Versa”. Jurnal Manajemen Aset Infrastruktur & Fasilitas 4(2) April 2020.

Madhwal, Y., Avdeeva, Z. (2017). "Planning in the Aircraft Industry Based on Prediction of Air Traffic". Information Technology and Quantitative Management (ITQM 2017). Procedia Computer Science 122 (2017) 1047-1054.

Mao, L., Wu, X., Huang, Z., & Tatem, A.J. (2015). “Modeling Month Flow of Global Air Passenger: An Open-Access Data Resources”. Journal of Transport Geography 48 (2015) 52-60.

Robertson, F. & Wallin, M. (2014). Forecasting Monthly Air Passenger Flow from Sweden. Bachelor Thesis. Department of Statistics. Uppsala University. Uppsala.

Sartono, W., Dewanti & Rahman, T. (2019). Bandar Udara: Pengenalan dan Perancangan Geometrik Runway, Taxiway, dan Apron. UGM Press. Universitas Gajah Mada. Yogyakarta.

Sefrus, T., Priyanto, Sigit, Dewanti & Irawan, Muhammad Zudhy (2020). “Modelling of Air Passenger Demand in The Papua Island”. Songklanakarin J. Sci.Technol.42 (5), 1072-1077, Sept-Oct 2020.

Soemitro, R.A.A. & Suprayitno, H. (2018). “Pemikiran Awal tentang Prinsip Dasar Manajemen Aset Fasilitas”. Jurnal Manajemen Aset Infrasruktur & Fasilitas, 2(Suplemen 1), Juni 2020.

Suprayitno, Pambudi & Cahyono (2017). “Preliminary Modelling for Ship Passenger Arrival Distribution, Case of Gapura Surya Nusantara Passenger Terminal, Tanjung Perak Port, Surabaya”. Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 11, 2017.

Suprayitno, H. & Soemitro, R.A.A. (2018). “Preliminary Reflexion on Basic Principle of Infrastructure Asset Management”. Jurnal Manajemen Aset Infrastruktur & Fasilitas 2(1) March 2018.

Suprayitno, Hitapriya (2020). “Investigating the Utilisation of Different Variables for Direct Gravity Trip Distribution Model for Air Passenger Demand”. Atlantis Press: Advances in Engineering Research, 25 February 2020, 2nd International Symposium on Transportation Studies in Developing Countries (ISTSDC 2019).

Suprayitno, Hitapriya (2020a). “Developing a Direct Gravity Trip Distribution Model for Air Passenger Demand”. IOP Conference Series: Earth and Environmental Science 419(1), 012092.

Suryani, E., Chou, S-Y., Chen, C-H. (2010). “Air Passenger Demand Forecasting and Passenger Terminal Capacity Expansion: A System Dynamic Framework”. Expert System with Applications 37 (2010) 2324-2339.

TCAA (2020). Aeronautical Information Publication 2020. Tanzanian Civil Aviation Authority.

Teodorovic, D. & Janic, M. (2017). Transportation Engineering Theory, Practice, and Modeling. Elsevier. Amsterdam.

Wang, P.T., Pitfield, D.E. (1999), “The Derivation and Analysis of The Passenger Peak Hour: An Empirical Application”, Journal of Air Transport Management, Vol. 5, Issue 3, July 1999, page 135-142.