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Presentation - Group 9 (STIS)

DISJAS
by

TRISNO Harefa

on 10 July 2013

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Transcript of Presentation - Group 9 (STIS)

BAB I
Background
Sulawesi and Kalimantan Island is so large. Sulawesi island is the fourth largest island while Kalimantan is the third.
Based on the geograpic conditian , Sulawesi and Kalimantan are different.
Problem Formulation
Purposes
BAB II
BASIS OF THEORY
Technical term of flight
Hypothesis Of The Research
BAB III
METHODOLOGY
Descriptive Analysis
Types and Sources of Data
Correlation Analysis
Gambar 4.4 Grafik Lalu Lintas Pesawat (Datang-Berangkat) Pada Penerbangan Luar Negeri di Seluruh Bandar Udara Kalimantan dan Sulawesi 2000-2011
Test of Mean Difference
Comparative Analysis of Aircraft Movements In Kalimantan and Sulawesi Year 2000-2011
BAB IV
DATA ANALYSIS
Group 9
How is the development of the air craft movement in Kalimantan and Sulawesi from 2000-2011?
Are there any differences of the air craft movement from all airports between Kalimantan and Sulawesi from 2000-2011?
What are the favorite destinations in all flights (domestic and international flight) in Kalimantan and Sulawesi from 2000-2011?
Analyze the differences of aircraft movement from all airports between Kalimantan and Sulawesi from 2000-2011
Analyze the correlation of aircraft movement with passenger traffic, baggage traffic and cargo traffic year in Kalimantan and Sulawesi
Analyze the favorite destinations in all flights (domestic and international flight) in Kalimantan and Sulawesi from 2000-2011
Scheduled aircraft are flying on a regular basis and fixed on certain routes for transporting passengers, cargo and mail.
Non-scheduled aircraft are flying at any time on the route it takes to transport passengers, cargo and mail, including charter flights.
Passenger Load percentage is the percentage of the production of passenger kilometers to miles of all the available seating.
Load percentage is the percentage of the production of goods ton-miles of the total ton-miles available.
Maximum Takeoff Weight is the maximum weight capacity or of an aircraft to be flown at the time of takeoff.
Aircraft Operator Certificate is proof of compliance standards and procedures in the operation of aircraft by commercial air transport companies.
Aircraft Operation Certificate is proof of compliance standards and procedures in the operation of aircraft for commercial air transport activities.
Aircraft movements in kalimantan is different with sulawesi during the period 2000-2011.
There exist correlation between aircraft movement with passenger traffic both in Kalimantan and Sulawesi
There exist correlation between aircraft movement with baggage traffic both in Kalimantan and Sulawesi
There exist correlation between aircraft movement with cargo traffic both in Kalimantan and Sulawesi
Types of data used in this study is secondary data obtained from the Central Statistics Agency (BPS) that is the data ;
Aircraft Traffic for Domestic Flight Service by Airport
Passenger Traffic for Domestic Flight Service by Airport
Baggage Traffic for Domestic Flight Service by Airport
Cargo Traffic for Domestic Flight Service by Airport
Mail-Package Traffic for Domestic Flight Service by Airport
Aircraft Traffic for International Flight Service by Airport
Passenger Traffic for International Flight Services by Airport
Baggage Traffic for International Flight Services by Airport
Cargo Traffic for International Flight Services by Airport
Mail-Package Traffic for International Flight Service By Airport
Descriptive analysis is the analytical technique used to describe a condition generally and aims to make the interpretation or explanation be easier, including through analysis of tables or graphs.
In this study the descriptive analysis is used to give an overview of air traffic movements from year 2000-2011 in Kalimantan and Sulawesi.
Correlation analysis is used to determine the relationship between two variables and to determine the direction of the relationship is occurred. Correlation coefficient showing how much the relationship between the two variables.
In this study the correlation analysis is used to determine the correlation between traffic of passengers, baggage, cargo on aircraft movements by using the Pearson correlation.
ERNI LATIFAH
HARYANTO S. PURBA
TIARA SITORUS
TRISNO Y. U. HAREFA

COMPARATIVE ANALYSIS OF AIRCRAFT TRAFFIC DENSITY IN KALIMANTAN & SULAWESI 2000-2011
Title
The domestic aircraft movement of Kalimantan is higher than of Sulawesi, but when seen together, both of them showed an increase trend.
The decreasing happened from 2005-2008, where the graph of Kalimantan seen more fluctuative than Sulawesi.
Gambar 4.2 Grafik Lalu Lintas Pesawat (Datang -Berangkat) Pada Penerbangan Dalam Negeri di Seluruh Bandar Udara Kalimatan dan Sulawesi Tahun 2000-2011
Gambar 4.3 Grafik Pergerakan Pesawat Untuk Penerbangan Luar Negeri di Seluruh Bandar Udara Kalimantan dan Sulawesi Tahun 2000-2011
From those two graph, the international aircraft movement of Kalimantan is higher than Sulawesi from year 2002. Those two graph also looked fluctuative where started from 2004, international aircraft movement of Kalimantan decrease sharply until 2008, then increase again until 2011.
While in Sulawesi, the increasing and decreasing move more slightly.
Independen samples t- test is used because the data accept normal assumption, which the result below :
Result of Mean Difference Test
Analysis of Passenger Traffic for International Flight in Kalimantan and Sulawesi by the year of 2000-2011
Analysis of Passenger Traffic for IDomestic Flight in Kalimantan and Sulawesi by the year of 2000-2011
Analysis of Passenger Traffic for International Flight in Kalimantan and Sulawesi by the year of 2000-2011
Table 4.1 Total of Cargo Traffic For Domestic Flight Service By Airport In Kalimantan And Sulawesi Year 2000-2011
Based on the result below, we can conclude that the movement of aircraft between Kalimantan and Sulawesi is different at 5% level of significant
Analysis of Passenger Traffic for Domestic Flight in Kalimantan and Sulawesi by the year of 2000-2011
From year to year, total baggage for Kalimantan and Sulawesi increase
For international flight, Sulawesi increase from 2000 to 2001
Based on data from the 2000-2011, cargo traffic in Kalimantan is higher than in Sulawesi.
In Kalimantan highest cargo traffic in 2011, then in 2010, and in 2009.
Lowest cargo traffic occurred in 2003, then in 2001, and the lowest in 2000.
Whereas in Sulawesi highest cargo traffic in 2011, then in 2010, and in 2006.
Lowest cargo traffic occurred in 2003, then in 2000, and the lowest in 2002.
Grafik 4.2 Total of Cargo Traffic For International Flight Service By Airport In Kalimantan And Sulawesi Year 2000-2011
Table 4.2 Total of Cargo Traffic For International Flight Service By Airport In Kalimantan And Sulawesi Year 2000-2011
Correlation Analysis of International Aircraft Movement with Each of International Traffic (Passenger, Baggage, and Cargo) of Kalimantan
Correlation Analysis of Domestic Aircraft Movement with Each of Domestic Traffic (Passenger, Baggage, and Cargo) of Kalimantan
Graph 4.1 Total of Cargo Traffic For Domestic Flight Service By Airport In Kalimantan And Sulawesi Year 2000-2011
Conclusion
Correlation Analysis of Domestic Aircraft Movement with Each of Domestic Traffic (Passenger, Baggage, and Cargo) of Sulawesi
From the data, we found that the destination of aircraft movement both in Kalimantan and Sulawesi are to Jakarta, and Surabaya. It is so fair as we know that Jakarta and Surabaya are the biggest urban city in Indonesia. From this we analyse that the motive of people transport by plane is mostly economic.
Correlation Analysis of International Aircraft Movement with Each of International Traffic (Passenger, Baggage, and Cargo) of Sulawesi
Table of Aircraft Traffic of Sulawesi 2000-2011
4.3 Analysis Of Routes That Have The Highest Movement Of Flight From Sulawesi And Kalimantan
Based on data from the 2000-2011, cargo traffic in Kalimantan is higher than in Sulawesi.
In Kalimantan, the highest cargo traffic in 2010, then in 2009, and in 2011.
Lowest cargo traffic that occurred in 2004, then in 2003, and the lowest in 2001.
Whereas in Sulawesi, the highest cargo traffic occurred in 2002, then in 2004, and in 2005.
Lowest cargo traffic in 2007, later in 2008, and the lowest in 2000.

The high cargo traffic in Kalimantan, both domestically and abroad caused by the presence of industry factors that are there.
Aircraft and Passengers has the highest correlation among all and the value closes to 1. It means that total passangers and total of aircraft has a strong relation.
international aircraft and international passenger traffic has the highest correlation among all and more than 0.5 . It means that total passangers and total of aircraft has a strong relation .
domestic aircraft and baggage has the highest correlation among all and its value closes to 1 . It means that total passangers and total of aircraft have a strong relation .
All values is less than 0,5 . It means that international aircraft with others independent variables (passengers, baggages, cargos) have a weak relation.
Table of Aircraft Traffic of Kalimantan 2000-2011
The aircraft movement of Kalimantan by year of 2000-2011 is higher than aircraft movement of Sulawesi both in domestic flight and international flight.
Both in Kalimantan and Sulawesi is found that the passenger traffic has a positive and highest correlation coefficient with aircraft movement for domestic flight.
The most destination of aircraft movement both Kalimantan and Sulawesi is Jakarta, then Surabaya, then follows by each local flight.
Recommendation
Improve the provision of infrastructure such as access points to the airport and the airport is more convenient, especially in rural areas.
Regulate and organize the route of flight in order to make it more effective and efficient because of there were many local flightthat must transit in Jakarta first. For example: from East Kalimantan to West Kalimantan, we must transit in Soekarno-Hatta airport first. It’s not effective since loss in terms of times and cost (avtur), beside it will increase the crowded of Soekarno-Hatta airport. Analogy to other crowded airports
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