Domestic Flights Research Articles

Factors Affecting The Number Of Domestic Flights In Indonesia During Covid-19 Pandemic Using SARIMAX Method

Indonesia, which consists of thousands of large and small islands, relies heavily on-air transportation to support mobility between regions. As many as 80% of Indonesia's total air transportation passengers are domestic flight passengers. This shows how vital domestic flights are in Indonesia's air transportation system. However, in 2020, the COVID-19 pandemic had an impact that resulted in a decrease in the number of domestic flights in Indonesia. Therefore, an analysis is needed to determine the factors that affect the number of domestic flights in Indonesia. This study uses the SARIMAX method, a time series regression with the addition of seasonal factors and other variables or exogenous factors that significantly affect the model to improve the model's accuracy. Several exogenous variables are considered, including the number of operating civil aviation airports, positive daily cases of COVID-19, calendar effects during Eid al-Fitr and New Year's Day, and social restriction policies. The results showed that the number of operating airports one week before Eid al-Fitr, one week during Eid al-Fitr, one week before New Year, and Emergency PPKM significantly influenced the number of domestic flights. These variables offer pivotal insights into the influence of external factors on domestic flight patterns, exerting significant impacts on passenger travel behavior and subsequently influencing domestic flight volume. The integration of these variables in the SARIMAX model allows for a comprehensive analysis of the complex dynamics influencing domestic air travel in Indonesia. The best SARIMAX model obtained is SARIMAX (1,1,1)(4,1,1)7 with a MAPE value of 5.35% and a coefficient of determination is 97%.

ANALISIS SERVICE QUALITY TERHADAP CUSTOMER SATISFACTION MASKAPAI GARUDA INDONESIA PADA PENERBANGAN DOMESTIK RUTE JAKARTA-DENPASAR MENGGUNAKAN AIRLINE SERVICE QUALITY (AIRQUAL) MODEL

This research carries the title "Analysis Service Quality to Customer Satisfaction Garuda Indonesia Airlines uses domestic flights on the Jakarta-Denpasar route Airline Service Quality (Airqual) Model" This research aims to determine and explain the influence Airline Tangible (X1), Terminal Tangible (X2), Personal Quality (X3), Empathy (X4), Airline Image (X5) against Customer Satisfaction. This research uses the Explanatory Research method with quantitative methods. The data collection method in this research uses an e-questioner, with a sample size of 112 respondents determined using the Slovin formula. The data analysis techniques used are the Quantitative Descriptive Analysis method, Classic Assumption Test, Multiple Linear Regression, F Test, and t-test. The results of this research are airline service quality the model has a significant

Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections

Indonesia is a country that has been greatly affected by the Covid-19 pandemic. In the almost three years that the pandemic has been going on, the spread of Covid-19 has penetrated almost all regions of Indonesia. One of the causes of the rapid spread of Covid-19 confirmed cases in Indonesia is the existence of domestic flights between regions within the archipelago. This research is aimed to identify patterns of Covid-19 transmission cases between provinces in Indonesia using spatio-temporal clustering. The method used a generalized lasso approach based on flight connections and proximity between provinces. The results suggested that clustering based on flight connections between provinces obtained more reasonable results, namely that there were three clusters of provinces formed with different patterns of spread of Covid-19 cases over time.

An analytical study on Opinions of the sample passengers of Iraqi airways

The purpose of the study: Being one of the oldest airlines in the Middle East region, Iraqi Airways serves its customers with both domestic and regional travel flight services. This study aims to investigate the extent of satisfaction derived by the passengers of Iraqi Airways. Methodology: A survey was conducted with 300 customers who were using Iraqi Airways from Iraq. Thus, the passengers who used Iraqi Airways were contacted through travel agents. A self-administered questionnaire was sent to 300 customers using Google Forms, out of which 223 were filled in and returned by respondents. The descriptive-analytical method of analysis for this study took the dimension of examining the passengers’ satisfaction towards Iraqi Airways based on the in-flight service variables namely: Crew Friendliness, Food and beverage, Cabin cleanliness, Seat comfort, Digital Entertainment, Toilet comfort, Child care, using SPSS VERSION 11 Results: The findings of the study state that the level of satisfaction from in-flight services is not up to the mark and especially passengers are not happy with crew friendliness, seat and toilet comfort. So they are not ready to recommend others to fly in Iraqi Airways, rather do they care about using the airlines again? Also, the awareness of customers towards the promotion programs and advertisements of Iraqi Airways is very low. Conclusion and recommendation: Since the influence of in-flight services is considerably strong the airlines have to focus their efforts on bringing the satisfaction of passengers up-to the expected level rather than directly shifting to the fleet and route expansion.

Assessing the impacts of videoconferences on domestic business flights in Brazil’s post-pandemic era

During the COVID-19 pandemic, society realized that many activities could be conducted remotely, achieving similar or superior results. Several trends were anticipated and consolidated, such as remote work and hybrid activities. In this context, the air transport market was also profoundly affected, and we are still trying to understand the size and depth of the ongoing changes. It has become crucial for airline market strategies to evaluate how the behavior of business passenger demand has changed, considering the new conditions created and the intensified use of information and communication technology (ICT) tools, particularly videoconferencing. The article aims to identify and analyze the factors that have influenced the number of domestic business flights in Braziĺs post-pandemic era, focusing on the increased use of ICT. It applied a logit model to a database collected at Congonhas Airport in São Paulo, the second busiest airport in the country and the seventh in Latin America, which operates only domestic flights and is used mainly for business trips. Findings showed that the most significant variables influencing reduced travel for work were the number of trips made, the company’s market segment, and travelers’ perceptions about how the company dealt with topics such as productivity, employee well-being, videoconference use, and airline ticket purchases. With this understanding, airlines can develop more effective advertising strategies, enhance ticket sales, and prospect customers in more promising market niches.

Fuzzy inference system for forecasting non-aeronautical revenues considering the customer experience

Non-aeronautical revenues are associated with commercial activities at the airport, in which the fundamental factor in managing these revenues is the customers’ experience. This study numerically analyzed the influence of passenger satisfaction and waiting time on consumption made in the commercial facilities of the Airport Passenger Terminal, operating predominantly with domestic flights. This research was made through a structured questionnaire and the passengers in the airport to support the definition of the behavior of the Fuzzy Inference System. The results show that the greater the passenger satisfaction and waiting time, the greater the chances of significantly shopping. Furthermore, this study presents fuzzy modeling of a rule-based computational intelligence system capable of forecasting non-aeronautical revenues referring to shopping and dining experience, with significant contributions to the literature and airport management.

Predicting Airline Ticket Prices Using Machine Learning Predicting Airline Ticket Prices Using Machine Learning

Airfare prices are constantly changing due to various factors like the time of flight, destination, and length of the trip. To help people figure out the best time to buy tickets, we are working on a system that will use machine learning to predict prices. By studying past flight data in India, we want to uncover pricing patterns and suggest the ideal time to purchase tickets. This project aims to confirm or dispel common beliefs about airlines by comparing prediction models and finding ways to save money on ticket purchases. Price trends can vary significantly based on various factors such as the route, month, day, time of departure, holidays, and the airline carrier. Competitive routes like major business destinations (Mumbai-Delhi) tend to see price increases closer to the departure date. On the other hand, routes like tier 1 to tier 2 cities (Delhi-Guwahati) have specific time frames when prices are lower. The data also shows that there are two main categories of airline carriers in India: economical and luxurious. Generally, the lowest-priced flights fall under the economical group. Moreover, the data confirms that specific times of the day tend to have higher prices. By including different routes in this project, there is a potential for substantial savings when buying domestic flight tickets in India. Key Words: Airline Ticket, Pricing strategies, Fare fluctuations, Competitor analysis, Market trends

Flight quotas outperform focused mitigation strategies in reducing the carbon footprint of academic travel

The carbon footprint of academia has become a prominent concern and a burgeoning research area, with a notable focus on greenhouse gas emissions (GHG) from research-related travels. Mitigation strategies often promote alternatives, such as developing virtual communication or adopting sustainable transportation modes for short distances. While more ambitious strategies involving the transformation of research practices are increasingly discussed, these mitigation solutions are rarely subjected to rigorous quantitative assessments or meaningful comparisons. This study analyzes a unique database of about 130 000 travel segments by car, train and plane in 159 research entities across a wide array of disciplines in France. We investigate the patterns and associated carbon footprint of these research travels and explore a diversity of mitigation options. Our analysis shows that air travel overwhelmingly outweighs the carbon footprint of research travel, representing more than 96% of GHG emissions. Intercontinental flights are infrequent (less than 10% of all plane trips) but dominate GHG travel emissions, accounting for over 64% of total emissions. In contrast, domestic and continental flights are the most common but their mitigation potential by modal shift to train is limited (e.g. less than 15% for trips under 1000 km). Similar reductions can be achieved by targeting a small subset of travels, for example by modulating the frequency of conference attendance. The greatest and possibly most robust mitigation potential lies in combining modal shift with moderating air mileage (e.g. reducing travelled distance or number of flights). Strategies focusing on electrification or modal shifts for cars, proposed in official guidelines, are found to have negligible impact. In the absence of low-carbon alternatives for long-haul flights, we contend that only comprehensive strategies and policies which include moderating air travel distance or frequency can achieve a robust significant reduction in the GHG emissions from academic travel.

High-speed railway infrastructure leads to species-specific changes and biotic homogenisation in surrounding bird community.

Linear infrastructure networks, including railways, are undergoing rapid development in order to connect distant urban areas. Particularly, High-Speed Railways are increasingly seen as a viable alternative to domestic flights in many countries. However, this development of linear infrastructures is known to affect the surrounding faunal communities due to the changes in the landscape and operation of said linear infrastructures. Both positive and negative effects of linear infrastructures on adjacent faunal communities have been reported. In this study, we determined the influence of the High-Speed Railway infrastructure on the bird community that surrounds it. Birds were surveyed by using both linear transect and direct counting methods, both in the area directly adjacent to the railway infrastructure and 500m away from it in a period of two years of surveys. A total of 16114 individuals belonging to 71 species were recorded. The presence of the High-Speed Railway caused species-specific changes in the bird communities that surround it, causing the attraction of some species and the rejection of others. Furthermore, we show that the presence of the infrastructure altered the natural species turnover as the landscape changes by attracting the same bird species regardless of changes in the landscape, and filtering out others. We propose that further work in mitigation and development plans should focus on species-specific measures to assess the risk bird communities are exposed to.

OVERVIEW FOR THE IMPLEMENTATION OF FLIGHT WATCH IN FLIGHT TRAFFIC SERVICES WITH FLIGHT OPERATORS

On the Job Training activities are one of the activities that must be carried out by cadets. One of those who received this On the Job Training (OJT) activity was the Tarakan Branch of LPPNI, which is one of the airports that serves various types of flights, including pioneer, domestic, international and local flights. The data taken by the author is real data that the author obtained when carrying out OJT activities from September to August 2022. There were several obstacles that the author encountered when carrying out On the Job Training activities. One of them is inadequate communication from several aircraft because they do not carry High Frequency (HF) radio equipment. So that the aircraft that should be able to communicate with Balikpapan Info on the HF radio channel cannot communicate. And there is no sending of departure messages and arrival messages to the Tarakan APP which can cause disruption to the separation that is being implemented, because planes coming from the pilot area will suddenly appear on the controller's radar. By implementing the Flight Watch procedure, it is hoped that this incident can be minimized, as well as reviewing aircraft that do not carry equipment as stated in the Flight Plan as appropriate.

Implementation of the Altman z-score model in predicting bankruptcy at PT. Garuda Indonesia, Tbk.

Research aims: This study aims to forecast Garuda Indonesia’s bankruptcy rate using the Altman Z-Score model analysis tool based on financial statement data for the 2012-2021 period.Design/Methodology/Approach: A quantitative description method was used, with data sources from the Garuda Indonesia website.Research findings: Based on the data analysis, Garuda Indonesia was in a "gray area" or financial difficulty in the overall observation year.Theoretical contribution/Originality: Since 2020, Garuda Indonesia has implemented a statement of financial accounting standards (PSAK 73) on lease regulations. According to Institute of Indonesia Chartered Accountants (IAI, 2022), the objective of PSAK 73 on leases is to determine the principles for recognizing, measuring, presenting, and disclosing leases and determine whether the lessee and lessor provide relevant data with a method that presents transactions appropriately. PSAK 73 on leases categorizes assets from finance leases designated as right-of-use assets as part of property, plant, and equipment and lease liabilities as part of long-term liabilities that appear in the statement of financial position. Following the Institute of Indonesia Chartered Accountants (2022), right-of-use assets describe the tenant's right to use assets granted by the lessor to the lessee during the lease term.Research limitation/Implication: This research has limitations since the reference sources only came from research journals conducted at manufacturing and service companies in Indonesia and researched by Indonesian researchers. The data studied was only for the last 10 years (2012-2021) and during that time the 2019 Covid pandemic occurred, resulting in a lockdown which caused the number of domestic and international flights to Indonesia to decrease drastically.

Penggantian Halogen ke LED pada Runway Edge Lights Bandara Ahmad Yani Sebagai Efesiensi Energi Listrik

Jenderal Ahmad Yani International Airport is an airport located in the West Semarang District, Semarang City. This airport has departure and arrival terminals that facilitate domestic and international flights. Ahmad Yani International Airport also has a runway (13-31) with a length of 2,560 meters. There is airport lighting system equipment whose function is to assist and serve aircraft taking off and landing so that they can operate in cloudy, cloudy weather and at night in the runway, taxiway and apron areas. One of the equipment in the airport lighting system is the runway edge lights. Currently, the runway edge lights installed at Jenderal Ahmad Yani International Airport still use halogen type lights, which require quite a large amount of electrical power and the electricity costs incurred are not small. Replacing halogen type runway edge lights with Light Emitting Diode (LED) runway edge lights as an effort to efficiently use electrical energy. In this study the author used a comparative method to determine the comparison of the efficiency of using electrical energy between the two types of LED runway edge lights and halogen runway edge lights. From the comparison data carried out, it can be concluded that replacing halogen runway edge lights with LED runway edge lights has been proven to increase the efficiency of electrical power usage over a long period of time. From the specification data, LED lamps have a longer life time, namely 56,000 hours compared to halogen lamps, which is only 1000 hours, so the savings are also greater. From power calculations, it can be seen that LED runway edge lights have more power efficiency than halogen runway edge lights. The total power of halogen runway edge lights (2 circuits) was 21,480.58 watts, while LED runway edge lights (2 circuits) decreased by 56.2% to 9,400.58 watts.

Enhancing Air Travel Analysis: Forecasting Domestic Flight Activities in Indonesia based on Aircraft Types using MLP

The COVID-19 pandemic has succeeded in bringing down various industrial sectors, including the aviation industry. This pandemic impacted the depletion of the operational fleet. In 2022, the number of domestic aircraft ready for operation was only around 55%–60% compared to 2019. However, with all its limitations, the aviation industry must develop the best strategy to revive in this post-pandemic era. One of the strategies undertaken is selecting the most efficient and economical aircraft type to cut costs amid market uncertainty due to this pandemic. In this regard, research was carried out to predict when aviation activity in Indonesia would reach regular in January 2020 and the forecast for the dominance of aircraft types in domestic flight. Multilayer Perceptrons (MLP) show that domestic flight activities in Indonesia will reach the standard point in March 2024. From the forecast result, the error rate using MAPE is 0.52%. The aircraft that dominates Indonesia’s domestic flight activities during 2020–2022 is the Airbus 320 type. Meanwhile, for the next two years—2023 & 2024—it is predicted that the Airbus 320 type will continue to dominate the flights.

Efektivitas Penyampaian Informasi Petugas Avsec Mengatasi Konflik Komunikasi dengan Penumpang Mengenai Kapasitas Powerbank Bandar Udara Adi Soemarmo

The delivery of information carried out by aviation security officers to passengers in conveying information in the form of provisions in carrying electronic devices in the form of power banks is a communication that must be carried out firmly but still in a sympathetic manner. In a domestic flight, the carrying of power bank electronic devices is very strictly regulated in a regulation in the form of Circular Letter Number 15 of 2018 concerning the provisions of carrying portable battery chargers (power banks) and spare lithium batteries on aircraft. The purpose of this study is to determine and explain the effectiveness of information delivery by aviation security officers in overcoming communication conflicts with passengers regarding power bank capacity at Adi Soemarmo Boyolali International Airport. This research is a quantitative study using data collection methods using questionnaires with the population being passengers who carry power banks with capacities exceeding the applicable regulations. The results of this study are with the value of tcount (10,657) ˃ ttable (1,1991) then there is an influence on how to deliver information carried out by aviation security officers in overcoming communication conflicts with passenge rs, besides the influence of the delivery of information carried out by aviation security officers in overcoming communication conflicts with passengers is 59.3%, the remaining 40.7% is influenced by other factors outside this study.

Analisis Pengawasan Inspektur Angkutan Udara Kantor Otoritas Bandar Udara Wilayah I Kelas Utama terhadap Penetapan Harga Tarif Tiket oleh Maskapai PT. Lion Mentari Airlines

In domestic flights, currently many people choose economic services, of course this is a very competitive aviation business arena for users of aviation services in terms of fares, equipment, services, human resources, and flight security and safety. This study aims to determine the setting of tariffs, besides that this research also aims to determine the supervision of tariff implementation. Air Transport Inspector. This research uses a type of qualitative descriptive research method. To get answers from the research, the researcher made a research design in the form of observations, interviews, and documentation. The data obtained is in the form of interview results with the Air Transport Inspector at the Regional 1 Main Airport Authority Office. The results of the study show that the arrangements made by the Ministry of Transportation are the main basis for Aviation Business Entities in setting fares and facilitating supervision for Air Transport Inspectors. Fare inspection supervision is an SOP given by the Ministry of Transportation to Air Transport Inspectors. Not only that, tariff monitoring can occur when there are public reports and national holidays. Existing obstacles such as the occurrence of violations can be handled by a Ministerial Decree in accordance with the rules for enforcing sanctions. Keywords : tariff, policy, supervision, sanctions.

Forensic Engineering: The Investigation of The Causes of Asymmetry Trailing Edge Flap During The Aircraft Boeing 737 Landing.

Forensic engineering is the application of engineering principles and methodology to answer questions of fact. These questions of fact are usually associated with accidents, crimes, catastrophic events, property degradation, and various types of failures. This research discusses a serious incident that occurred on a Boeing 737-300F aircraft operated by The XYZ airline which operates unscheduled domestic flights in Indonesia, with a flight route from Jakarta Soekarno International Airport (CGK) to Samsoedin Noor International Airport Banjarmasin (BDJ). When the plane was about to land, and the pilot operated the flaps from the 30o position to the 40o position, there was an asymmetry between the left and right flap trailing edges of more than 20o, which caused the plane to become unstable because it rolled to the left, and the pilot was unable to control the plane when landing, which causing a serious incident on the plane. This research aims to find the root cause of trailing edge flap asymmetry of more than 20o as an evaluation for companies in determining and implementing corrective and preventive actions so that this problem does not happen again in the future. This research will use forensic engineering investigation methods and carry out chemical composition testing (Optical Emission Spectroscopy); metallographic testing (micro and macro structure observations); FESEM testing and microchemical composition testing (EDS); and hardness testing. Then for each test result an analysis is carried out based on scientific knowledge. The results of the investigative analysis were to find the root cause of the trailing edge flap asymmetry problem of more than 20o. After getting the root cause of each method, the author then compares the results of one method with another method to draw conclusions to consider and determine corrective and preventive actions to be taken and implemented in the company or organization.

Forecasting with Triple Exponential Smoothing on Data of the Number of Passengers Departing Domestic Flights at Sultan Hasanuddin International Airport

Transportation facilities and means have developed very rapidly and become the basic needs of the community from time to time. This development ultimately requires the availability of capable and adequate transportation facilities and infrastructure in the form of the availability of good facilities. In general, the movement of the number of flight passengers at Sultan Hasanudin Airport tends not to be stationary on average because in certain times the movement forms an uptrend pattern. In addition, the number of flight passengers at Sultan Hasanudin Airport has an irregular pattern with varying increases and decreases. To forecast fluctuations in the number of flight passengers at Sultan Hasanudin Airport in the coming period, it can be done by time series analysis. The Triple Exponential Smoothing method or commonly referred to as Winter Exponential Smoothing is one of the Time Series methods that is suitable for handling seasonal data such as the number of domestic passengers at Sultan Hasanuddin Airport Makassar. The analysis step of the Triple Exponential Smoothing method is model identification, parameter estimation by trial and error, then is the calculation of the initial value of data smoothing, trends, and seasonality with a length of one season L = 12 and the last is to calculate the error value using MAPE and RMSE. The best model is obtained from a combination of parameters α = 0.9; β = 0,1; and γ=0.1 which results in the smallest forecasting error using RMSE with a value of 56,674.56 and MAPE with a value of 56,674.56. Using a forecasting model:
 So the forecasting results are obtained that look close and not too far from the previous year's data so that it can be used as a reference for the management of the aircraft company to make the right decisions and anticipate a surge in the number of passengers.

Analysis of the Performance of Regional III Airport Authority Air Transport Inspector Personnel on Optimizing PT Minimum Service Standard Supervision. Wings Airlines

In order to achieve optimal aviation safety, security, and service, activities of control, supervision, and investigation are necessary by the Air Transport Inspector. Air transport services provided by Air Transport Companies to Scheduled Commercial Air Transport for Economy Class Passengers and domestic flights within the country. Passenger service standards cover aspects such as pre-flight service standards, in-flight service standards, and post-flight service standards. Pre-flight service standards include flight information, ticket reservations, ticket bookings, check-in processes, boarding procedures, handling of delays and flight cancellations, as well as the issuance of boarding passes. The number of inspectors available to conduct supervision is also a factor affecting the results of the Minimal Standard Inspection of these services. This research aims to identify factors that affect the optimization results of Air Transport Inspectors at Wings Air airline. This research method is descriptive with a qualitative approach, and data is collected through observation, interviews, and documentation. The research results indicate that one of the challenges in the supervision of Air Transport Inspectors for Wings Air airline is the insufficient number of Air Transport Inspector personnel, resulting in a lack of direct supervision of airline personnel in various sub-units of airline services.

The discontinuation of domestic flights in Austria: a case study on the impact on passenger routings, regional airports and the environment

The discontinuation of domestic flights in Austria: a case study on the impact on passenger routings, regional airports and the environment

The role of flight dispatchers: Analysis of workload balancing of scheduled domestic flights at the airport in Pasay city

This paper examines the role of flight dispatchers in analyzing the workload balancing of scheduled domestic flights at the airport in Pasay City. Various factors were analyzed to understand if there was a significant effect on how flight dispatchers balance their workload. Using the qualitative and quantitative research design, results were able to be identified. Out of 24 respondents, one factor shows a significant difference in Professional Adaptation in terms of the sex of the flight dispatchers. Using thematic analysis and phenomenology, Experience, and Maternity were the focal points of the informants when gender-related issues impacted the performance of flight dispatchers. The implications of this study are to identify and address issues on how these factors can affect the job performance and workload balance of a Flight Dispatcher.