Pangsa Pasar Penumpang Maskapai Lion Air di Bandara Pattimura Ambon

WARTA ARDHIA ◽  
2013 ◽  
Vol 39 (4) ◽  
pp. 294-304
Author(s):  
Lukiana Lukiana
Keyword(s):  
Growth Rate ◽  
Quantitative Analysis ◽  
Market Share ◽  
Domestic Market ◽  
Air Transport ◽  
Transport Services

Increasing number of Airline companies in Indonesia result in increasing domestic market share competition. One of the airline in Indonesia is Lion Air which has a large fleet. One of the airport that has a growth rate of air transport demand is Pattimura airport in Ambon. The aim of this research was to determine the Strenght, Weaknesses, Opportunities and Threat (SWOT) of Lion Air in Pattimura Airport, Ambon. The goal is to provide an input to Lion Air in order to maintain and increase the air transport services in Pattimura Airport. This research used Diskriptif Quantitative analysis and SWOT method. From the calculation and rating for each of the IFAS and EFAS seen that the position of Lion Air is located in Quadrant II, namely quadrants strategy Strength - Threat at coordinates (0.67 ; 0.52). It means that Lion Air has an internal strength as a strong factor to take advantage of existing opportunities. Perusahaan penerbangan yang berjumlah 16 semakin meningkatkan persaingan dalam pangsa pasar domestik. Salah satunya adalah maskapai Lion Air dengan jumlah armada yang besar. Salah satu bandara yang mempunyai tingkat pertumbuhan permintaan angkutan udara cukup tinggi adalah bandar udara Pattimura-Ambon.Maksud kajian adalah untuk mengetahui keunggulan, kelemahan, peluang, dan tantangan yang dimiliki oleh perusahaan penerbangan Lion Air. Tujuannya adalah memberikan bahan masukan kepada Lion Air dalam upaya mempertahankan penyediaan layanan jasa angkutan udara di Bandara Pattimura-Ambon. Metodologi yang digunakan dalam penelitian ini Diskriptif Kuantitatif analisis dan SWOT. Dari hasil perhitungan pembobotan dan rating untuk masing-masing IFAS dan EFAS terlihat bahwa posisi PT. Lion Mentari Air terletak pada Kuadran II, yaitu kuadran yang menerapkan strategi Strength-Threat, pada koordinat (0,67; -0,52), di mana hal ini berarti bahwa Lion Air memiliki kekuatan sebagai faktor internal yang kuat untuk memanfaatkan peluang yang ada.

Pangsa Pasar (Market Share) Logistik /Kargo oleh Perusahaan Jasa Angkutan Udara yang Beroperasi di Bandar Udara Internasional Sepinggan Balikpapan

WARTA ARDHIA ◽  
2013 ◽  
Vol 39 (2) ◽  
pp. 113-127
Author(s):  
Lita Yarlina
Keyword(s):  
Market Share ◽  
Air Transport ◽  
Air Cargo ◽  
East Kalimantan ◽  
Transport Services ◽  
Freight Logistics ◽  
Transportation Service ◽  
Logistics Services ◽  
Air Freight ◽  
Very High

Growth of air freight logistics/ cargo in Indonesia, especially in East Kalimantan is very high in the 5 (five) years so that the need for air freight logistics services company is also very high. At this time, cargo/ logistics from and to the outside Balikpapan are served by air cargo transportation service/ logistics services company and scheduled commercial air transport. The purpose of this study is to look at the market share of air freight logistics / cargo in Sepinggan Balikpapan International Airport. 87.08% to 95.15% market share is still dominated by scheduled commercial air transport services, namely Garuda Indonesia, Lion Air and Sriwijaya. While freight logistics services company/cargo has only 59.09% to 72.62% market share which are Tri MG Airline namely, Megantara Water, Water Mark and Garuda Indonesia.Pertumbuhan angkutan udara logistik/kargo di Indonesia khususnya wilayah Kalimantan Timur dalam 5 (lima) tahun belakangan ini sangat tinggi sehingga kebutuhan akan perusahaan jasa angkutan udara logistik juga sangat tinggi. Pada saat ini, kargo/logistik yang diangkut dari dan ke luar Balikpapan dilayani oleh perusahaan jasa angkutan udara kargo/logistik dan perusahaan jasa angkutan udara komersial berjadwal. Tujuan penelitian ini adalah untuk melihat pangsa pasar angkutan udara logistik/kargo di Bandar Udara Internasional Sepinggan Balikpapan. Pangsa pasar 87,08% sampai 95,15% masih didominasi oleh perusahaan jasa angkutan udara komersial berjadwal yaitu PT. Garuda Indonesia, PT. Mentari Lion Air dan PT. Sriwijaya Air. Sedangkan perusahaan jasa angkutan logistik/kargo memiliki pangsa pasar 59,09% sampai dengan 72,62% yaitu Tri MG Airline, Megantara Air, Air Mark dan Garuda Indonesia.

scholarly journals INTRODUÇAO AOS MODELOS ODE PARTICIPAÇÃO DE MERCADO EM SERVIÇOS DE TRANSPORTES

TRANSPORTES ◽  
1995 ◽  
Vol 3 (1) ◽  
Author(s):  
Antonio Galvão Novaes
Keyword(s):  
Market Share ◽  
The Other ◽  
Air Transport ◽  
Transport Sector ◽  
Transport Services ◽  
Other Hand ◽  
Bus Service ◽  
Transport Problems ◽  
Bus Services ◽  
Demand Profile

<p>Análises de participação de mercado ("market share") são comuns em estudos na área de "marketing", envolvendo produtos e respectivas marcas, de um lado, o perfil da demanda de outro, e o posicionamento das empresas produtoras que competem nesse mercado, num terceiro bloco. No setor de transportes a literatura registra aplicações em ligações aéreas e em serviços intermunicipais de ônibus. Os modelos de participação de mercado se aplicam normalmente a situações em que os operadores oferecem serviços de transportes similares num determinado mercado, com a competição sendo feita não com base em atributos modais intrínsecos, mas sim apoiada em características diferenciadoras intra-modais mais tênues, tais como conforto, atendimento, promoções tarifárias, "marketing" e propaganda, etc. Neste artigo é feita uma introdução aos modelos de "market share" em transportes, com a apresentação de um exemplo de aplicação ao transporte intermunicipal de passageiros em ônibus, sendo discutidos também aspectos ligados a calibração e tais modelos.</p><p><strong>ABSTRACT</strong></p><p>Market share analysis is common in marketing studies involving products and respective brands, on one hand, the demand profile on the other hand, and the competiting industries on a third set. In the transport sector the literature registers a number of applications to air transport problems and to intercity bus services. Market share models are normally applied to situations in which operators offer, in a specific market, transport services that are similar in nature, with competition based not on intrinsic modal attributes, but rather on more tenous intra-mode differentiating characteristics, such as comfort, attendance, tariff promotions, marketing and advertising efforts, etc (sub-modal configurations). It is presented in this paper an introduction to market share modelling in transport, with an example concerning an intercity bus service in Brazil. Aspects related to the calibration and practical use of such models are also discussed in the text.</p>

ANALISIS MODEL KEBUTUHAN PERGERAKAN PENUMPANG DAN BARANG BANDARA RAHADI OESMAN KETAPANG

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
. Elsa Trimukti
Keyword(s):  
Growth Rate ◽  
Trend Analysis ◽  
Polynomial Regression ◽  
Air Transport ◽  
Trip Generation ◽  
Analysis Model ◽  
Exponential Regression ◽  
Share Model ◽  
Strategic Role ◽  
Analysis Models

Airport of Rahadi Oesman in Kabupaten Ketapang Kalimantan Barat represent the main and important gate for air transport in Kabupaten Ketapang, where this airport own the strategic role in service activities of this transportation even for domestic transportation or regional. Activity in Airport of Rahadi Oesman in a few this the last year has growth so fast growth, so that felt the infrastructure and also available facility in this time have is not adequate again to support the growth rate of air traffic in this airport. In the plan development of facility of air side and also land side of the airport require to be conducted an analysis model of trip generation or attraction of passenger and goods. These models need for the prediction of mount the growth of passenger and goods/cargo and estimate the amount of passenger and aircraft movement in the future pursuant to aircraft characteristic that to be used. The models used for prediction of passenger and goods in this study are Trend Analysis Models consisted of linear regression trend method, exponential regression trend method, and polynomial regression trend method. Besides model of trend analysis, in this study also analyzed Market Share Model. Result from third model then compared to one another to obtain the most appropriate model. Pursuant to analyses result obtained that the best or most appropriate model is Model of Trend Analysis.Model for the attraction passenger is Y = 21,18X2+ 6181X + 5788 by R2= 0,922.Model for the generation passenger is Y = 128,3X2+ 7515X + 4965 by R2= 0,907.Model for the passenger of transit is Y = 795X2+ 561X + 3361 by R2= 1Model for the cargo movement is Y = 2468X2+ 41054X 28341 by R2= 0,918.

scholarly journals PERLINDUNGAN HAK KONSUMEN MENGENAI PEMBERLAKUAN TARIF BATAS ATAS DAN BATAS BAWAH JASA ANGKUTAN UDARA BERDASARKAN UNDANG-UNDANG PERLINDUNGAN KONSUMEN NOMOR 8 TAHUN 1999 (DALAM KASUS PENYEDIA LAYANAN LOW COST CARRIER (LCC) MASKAPAI LION AIR)

2019 ◽  
Vol 2 (2) ◽  
pp. 1001
Author(s):  
Nava Aprilda Wati ◽  
A.M. Tri Anggraini
Keyword(s):  
Low Cost ◽  
Air Transport ◽  
High Increase ◽  
Transport Services ◽  
Consumer Rights ◽  
Expert Interview ◽  
Low Cost Carrier ◽  
Ticket Prices ◽  
Lower Limits ◽  
Very High

In early 2019 there was a very high increase in ticket prices. Ticket prices for domestic routes in Indonesia have not gone down, which is a complaint of consumers and make complaints to government agencies such as BPKN and YLKI. However, this has become the spotlight of the Minister of Transportation, raising the lower limit tariff, but this is actually considered ineffective because it can only protect airlines. This is considered to have violated consumer rights as stipulated in the UUPK. The issue of how the regulations and government policies in terms of tariff determination from the perspective of consumer protection and how the protection of consumer rights regarding the imposition of upper and lower limits of air transport services based on Law No. 8 of 1999. The author conducts research in this issue using normative methods supported by expert interview data. The author analyzes that this problem violates the consumer rights of Article 4 regulated by UUPK and analyzes from the Minister of Transportation Regulation PM 20 of 2019 concerning Procedures and Formulation of Calculation of Tariff Limit for Passengers in Economy Class Services for Scheduled Domestic Commercial Air Transport and Minister of Transportation Decree KM 106 of 2019 concerning the Tariff Limit on Passengers of Economy Class Scheduled Domestic Commercial Air Transport Services. The suggestion that can be given by the writer is that the ministry of transportation should oversee airlines in determining tariffs and services to remain balanced and not to the detriment of consumers.

Struttura competitiva dopo la crisi Alitalia: il caso dela tratta Milano-Roma

2009 ◽  
pp. 167-178
Author(s):  
Giovanna Campopiano ◽  
Josip Kotlar ◽  
Andrea Salanti
Keyword(s):  
Price Competition ◽  
High Speed ◽  
Substantial Reduction ◽  
Air Travel ◽  
Air Transport ◽  
High Speed Rail ◽  
Passenger Traffic ◽  
Transport Services ◽  
Real Price

Air travel routes and high speed rail connection between Milan and Rome after the Alitalia crisis This paper analyses the first available data about changes in passenger traffic and air/rail fares after the Alitalia crisis and the substantial reduction of the travel time between Milan and Rome, due to the improvement of high speed rail on this connection. As recently happened in similar cases within Europe, the rail has gained a significant share of traffic previously attracted by air transport services. Apart from that, a real price competition is prevented by a number of inefficiencies which are mainly due to the monopolistic position of the new Alitalia on the route Milan Linate-Rome Fiumicino and problems of accessibility affecting our airports, and partly our rail stations too. The role of the various authorities potentially involved is burdened, in the last instance, by infrastructural deficiencies.

Quantitative and Physiological Analyses of Chloride Dependence of Growth of Halobacillus halophilus

1998 ◽  
Vol 64 (10) ◽  
pp. 3813-3817 ◽  
Author(s):  
Markus Roeßler ◽  
Volker Müller
Keyword(s):  
Growth Rate ◽  
Quantitative Analysis ◽  
Growth Rates ◽  
Chloride Concentration ◽  
Optimal Growth ◽  
Uptake System ◽  
Chloride Uptake ◽  
Molecular Masses ◽  
Final Yield ◽  
Energy Dependent

ABSTRACT A quantitative analysis of the Cl− dependence of growth of Halobacillus halophilus was performed. Optimal growth rates were obtained at Cl− concentrations of between 0.5 and 2.0 M, and the final yield was also strictly dependent on the Cl− concentration. Br− but not I−, SO4 2−, NO2 −, SO2 −, OCN−, SCN−, BO2 −, or BrO3 − could substitute for Cl−. To analyze the function of chloride, chloride concentration was determined. At low external Cl− (Cle −) concentrations, the growth rate was low and Cl− was excluded from the cytoplasm; increasing the Cle −concentration led to an increase in the growth rate and an energy-dependent uptake of Cl−, thus decreasing the Cle −/internal Cli − gradient from ≥10 at 0.1 M Cle − to a nearly constant value of 2 at Cle − concentrations which allowed optimal growth. Two membrane proteins with apparent molecular masses of 31 and 16 kDa which were identified to be specific for Cl−-grown cultures are possible candidates for a chloride uptake system.

scholarly journals Quantitative analysis of cryptocurrencies transaction graph

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Amir Pasha Motamed ◽  
Behnam Bahrak
Keyword(s):  
Growth Rate ◽  
Statistical Analysis ◽  
Quantitative Analysis ◽  
Power Law ◽  
Degree Sequence ◽  
Power Law Distribution ◽  
Comprehensive Comparison ◽  
Statistical Studies ◽  
Financial Transactions ◽  
Over Time

AbstractCryptocurrencies as a new way of transferring assets and securing financial transactions have gained popularity in recent years. Transactions in cryptocurrencies are publicly available, hence, statistical studies on different aspects of these currencies are possible. However, previous statistical analysis on cryptocurrencies transactions have been very limited and mostly devoted to Bitcoin, with no comprehensive comparison between these currencies. In this study, we intend to compare the transaction graph of Bitcoin, Ethereum, Litecoin, Dash, and Z-Cash, with respect to the dynamics of their transaction graphs over time, and discuss their properties. In particular, we observed that the growth rate of the nodes and edges of the transaction graphs, and the density of these graphs, are closely related to the price of these currencies. We also found that the transaction graph of these currencies is non-assortative, i.e. addresses do not tend for transact with a particular type of addresses of higher or lower degree, and the degree sequence of their transaction graph follows the power law distribution.

Growth Temperature Uniformity of MBE-Grown GaAs Determined by Scanning Room Temperature Photoluminescence

1994 ◽  
Vol 340 ◽  
Author(s):  
K. Stair ◽  
T. Bird ◽  
A. Moretti ◽  
F. Chambers ◽  
C. Choi-Feng
Keyword(s):  
Growth Rate ◽  
Quantitative Analysis ◽  
Temperature Distribution ◽  
Quantum Well ◽  
Growth Temperature ◽  
Room Temperature ◽  
Epitaxial Layers ◽  
Temperature Uniformity ◽  
Room Temperature Photoluminescence

ABSTRACTWe have used scanning room temperature photoluminescence to map GaAs quantum well widthsand AIGaAs barrier compositions over 2-inch and 3-inch diameter epitaxial layers grown by MBE at temperatures ranging from 600 to 700ºC. Analysis of these maps allows a nondestructive quantitative analysis of the GaAs growth rate uniformity from which we can calculate the temperature distribution during growth. We have used this technique to compare the thermal uniformity of various substrate holders designed for use in the Intevac ModGenII MBE system.

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