Pengembangan Model Manajemen Untuk Optimasi Pendapatan Penjualan pada Penerbangan Multi-Leg dengan Mempertimbangkan Jarak Tempuh dan Biaya Operasional

Budiarto Subroto, Nelson Pardede


This study is aimed at applying yield management to optimize the airlines selling income by determining or allocating the number of passengers in multi-leg flight in which each leg has two fares classes. Basically, yield management is one of allocating and controlling passenger’s seats methods to optimize the airlines income. Normally, the existing yield management model will only consider the fare, demands and capacity variables. Other variables such as operational and distance will not be covered. When those variables are covered, they are considered as constant variables that will not affect the income optimization. The development of yield management model in this study is applying the linear program model approach, in order to obtain an optimum solution in the multi-leg flight. The approach will produce a decision variable; i.e. the number of passengers that will be allocated in each leg for business and economy fares; and objective function; i.e. maximum income and multi-leg flight route being served. The result of the study is a smaller solution, both for the decision variable and objective function. However, the solution is more valid because it considers more aspects, which are ideally more suitable to the actual condition of the flight operational.
Penelitian ini bertujuan mengaplikasikan model yield management untuk mengoptimasikan pendapatan penjualan perusahaan penerbangan dengan cara pengalokasian jumlah penumpang pada penerbangan multileg dimana masing-masing leg mempunyai dua jenis kelas tarif. Pada dasarnya, yield management adalah metode pengalokasian dan pengendalian kursi penumpang untuk mengoptimasikan pendapatan perusahaan penerbangan.. Pengembangan model yield management dalam studi ini menggunakan pendekatan model programa linier, untuk mendapatkan solusi optimum dalam penerbangan multileg. Pendekatan ini akan menghasilkan suatu variabel keputusan yaitu jumlah penumpang yang akan dialokasikan pada setiap leg untuk harga tiket bisnis dan ekonomi; dan fungsi tujuannya adalah memaksimumkan pendapatan dan rute penerbangan multileg yang dilayani. Hasil penelitian menunjukkan bahwa solusi yang lebih kecil, baik untuk variabel keputusan maupun untuk fungsi tujuan. Meskipun demikian, solusi ini lebih valid karena mempertimbangkan banyak aspek, dimana idealnya lebih sesuai dengan kondisi aktual dari operasi penerbangan.


yield management, biaya operasional, jarak tempuh, multileg

Full Text:



Belobaba, Peter P. (1989), Application of a probabilistic decision model to airline seat inventory control, Operation Research, 37, No.2, 183 – 197.

Bitran, Gabriel., René Caldentey (2002), An overview of pricing models for revenue management, Pdf

Brumelle, S.L., J. I. McGill (1993), Airline seat allocation with multiple nested fare classes, Operation Research,41, 127-137.

Chang, Yih Long (1995), Quanti-tative system version 3.0, Engle-wood Cliffs, NJ.: Prentice Hall.

Chen, Victoria C.P., Dirk P. Günther, Ellis L. Johnson (1999), Airline yield management : optimal bid prices for single-hub problems without cancellations.

Cooper, William L., Diwakar Gupta(2003),Stochastic compari-son in airline yield management www/ orlab/techrep/scpym.Pdf

Coulter, Keith S. (1999), The application of airline yield management techniques to a holiday retail shopping setting; Journal of Product & Brand Management, 8, 61 – 72.

Daudel, Sylvian., Georges Vialle, Versi bahasa Inggris oleh Barry K. Humphreys (1994), Yield Management : Application to air transport and other service industries, Institut du Transport Aĕrien, Paris.

de Boer, Sanne V. (1999), Stochastic programming for multi leg network revenue management, 1999097115746.Pdf

Demsey, Pane Stephen., Laurence E. Gesell (1997), Airline management - strategies for the 21st century, cost aire publications.

Liebermann, Gerald J. & Frederick S. Hillier (1990), Introduction to operation research, McGraw-Hill, Inc., International Edition.

Marshall, Kneale T. & Robert M. Oliver (1995), Decision making and forecasting,

McGraw-Hill, Inc., International Edition. McGill, Jeffrey I., Garreth J. Van Ryzin (1999), Revenue manage-ment: research overviews and prospects, Transportation Science  33, No.2, 233 – 256.

Netessine, Serguei & Robert A. Shumsky (2002), Introduction to the theory of yield management, /NetessineShumsky/

Nugraha, Made Gede (2003), Analysis of fleet usability and its influence on revenue and cost at Merpati Nusantara Airlines, Master Thesis of Transportation Program, Bandung Institute of Technology.

Taha, Hamdy A. (1992), Opera-tion research : an introduction, Macmillan Publishing Company, New York, 10022, Fifth Edition.

Talluri, Kalyan & Garrett van Ryzin (1998), An analysis of bid-price controls for network revenue management, Manage-ment Science, 44, No.11, 1577 - 1593.

Winston, Wayne L. (1994), Operations research : applica-tions and algorithms, Duxbury Press, An Imprint of Wadworst Publishing Company, 3rd Edition. 



  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


      Infobase Index  Logo IPI  Home  

Copyright of Warta Ardhia (e-ISSN:2528-4045, p-ISSN:0215-9066) Sekretariat Jurnal Transportasi Udara, Jl. Medan Merdeka Timur No. 5 A Jakarta Pusat 10110. Tlp. (021) 34832944, Fax. (021) 34832968.;

    Creative Commons License 
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

  Analytics View My Stats