Soekarno-Hatta International Airport Research Articles

Kerjasama Kelembagaan Antara BP2MI dan Ditjen Imigrasi dalam Pencegahan Pekerja Migran Indonesia Non Prosedural di Bandara Soekarno Hatta

The non-procedural departure of Indonesian Migrant Workers (PMI) is a serious problem in Indonesia, especially due to the high risk of exploitation and human trafficking faced by migrant workers. Soekarno-Hatta International Airport as the main departure point is a strategic location in an effort to prevent non-procedural migrant workers. Cooperation between the Indonesian Migrant Workers Protection Agency (BP2MI) and the Directorate General of Immigration is crucial in ensuring that only migrant workers who meet official procedures can depart, in order to provide more effective protection. This study uses a qualitative approach with a descriptive case study method. Data are collected through the review of policy documents. The cooperation between BP2MI and Immigration has made a significant contribution in preventing thousands of non-procedural migrant workers from going abroad. However, this study also reveals the need for increased cooperation in several aspects. Policy reforms are needed, especially in immigration policies related to the supervision and control system at the point of departure, as well as policies that regulate the protection of migrant workers, both before departure and after return. With this policy reform, it is hoped that the collaboration between BP2MI and Immigration can be more effective and sustainable in protecting migrant workers from potential exploitation and human trafficking.

The Impact of the Covid – 19 Pandemic on Runway Service Life

Government policies that carry out large-scale social restrictions during the Covid-19 period have had an impact on reducing air traffic both for landings and takeoffs, which will have an impact on the life of runway services. Service life is the strength of road pavement in standing the repetition of permit loads before experiencing failure, by knowing that the service life can be directly used to determine the right time for runway maintenance. The purpose of this research is to determine the impact of the Covid-19 pandemic on the life of runway services. The method used in this research is the FAA method with the help of FAARFIELD software, this software calculates the service life based on the CDF value of each aircraft. The data used is secondary data in the form of aircraft type data, CBR ground, and existing pavement data. From the results of the research, it is known that the COVID-19 pandemic has a positive impact on the life of runway service by increasing the life of runway service by 4 years, where in the condition of covid-19 conditions it has a CDF value of 0.20 with a service life of 19 years and in normal conditions the CDF value is 0.22 with a service life of 15 years. The results of this research contribute to decision-making in carrying out maintenance and repairs on the runway of Soekarno Hatta International Airport so that the runway can operate sustainably in accordance with performance requirements throughout the life of the plan, to maintain flight safety and comfort.

The Effect of Pilot Reaction Time and Line-Up Time on Runway Occupancy Time Take-Off about Runway Capacity (Case Study: Soekarno-Hatta International Airport)

The Effect of Pilot Reaction Time and Line-Up Time on Runway Occupancy Time Take-Off about Runway Capacity (Case Study: Soekarno-Hatta International Airport)

EVALUATION OF COMPLIANCE WITH THE RUNWAY OCCUPANCY TIME STANDARD AT SOEKARNO-HATTA INTERNATIONAL AIRPORT

The research aims to calculate the runway occupancy time (ROT) at Soekarno-Hatta International Airport. ROTs are crucial in calculating the runway capacity, which can influence the time it takes for the aircraft to exit the runways after landing or enter a runway before takeoff. This may have an impact on the quantity of aircraft that utilize the runway for takeoffs and landings within an hour. The Runway Occupancy Time calculation model, which is the Doratask model in the Runway Capacity Calculation Manual, is employed in this study along with quantitative methodologies and questionnaires. The data collection techniques used are observations, documentation studies and interviews. The results of this study showed that the average ROT at Soekarno-Hatta International Airport was 95.36 seconds for ROTT and 54.63 seconds for the ROTL.

Analisis Pelaksanaan Tugas Ramp Handling dalam Menjaga On Time Performance (OTP) Pada Maskapai Garuda Indonesia di Bandara Soekarno Hatta Cengkareng

Soekarno-Hatta Airport is the main gateway for international and domestic air travel in Indonesia. As one of the busiest airports in Southeast Asia, Soekarno-Hatta Airport handles more than 60 million passengers per year (Soekarno-Hatta Airport Authority, 2023). According to the operational management theory by Suryanto (2020), efficiency in managing all operational processes, including ramp handling, is crucial to ensure smooth and punctual flights. With high traffic volume, the main challenge is to maintain On Time Performance (OTP) to minimize flight delays. This study aims to determine the implementation of ramp handling tasks during pre-flight activities, as well as to determine the obstacles experienced by Ramp Handling officers in pre-flight activities at Soekarno Hatta Cengkareng International Airport and to determine how efforts are made by PT Gapura Angkasa in improving the quality of On Time Performance (OTP) at Soekarno Hatta International Airport, Cengkareng. This study uses a qualitative method, namely through interviews, observations, and documentation of ramp handling personnel units, this study was conducted for 1 month at Soekarno Hatta International Airport The results of this study are that ramp handling officers at Soekarno-Hatta Cengkareng International Airport are responsible for checking the readiness of ground equipment, flight documents, and coordinating with the ground crew team. The use of checklists ensures that all pre-flight steps are carried out correctly and efficiently, which is important for smooth boarding and loading.

Analysis of Noise Level in Soekarno Hatta International Airport Area

One of the environmental impacts in the operation of an airport is noise, which originates from aircraft activities. Soekarno-Hatta International Airport is a public service airport located in Tangerang. This study aims to determine the noise levels around Soekarno-Hatta International Airport.The research results indicate that the noise levels of aircraft around Soekarno-Hatta International Airport in the northern part were collected using a sound level meter and then analyzed using the Weighted Equivalent Continuous Perceived Noise Level (WECPNL) method from aircraft landing activities. The results show that the noise intensity is categorized within the Weighted Equivalent Continuous Noise Level (WECPNL) range from ≥ 75 to ≥ 80 dBA.The researchers suggest that the airport authorities conduct regular noise measurements to monitor and control noise levels following the established noise standards and regulations to prevent direct impacts on the surrounding communities of Soekarno-Hatta International Airport

Analisis Penanganan dan Kendala Petugas Load Control dalam Membuat Weight And Balance pada Pesawat Malaysia Airlines Boeing 737-800 Di PT JAS Bandar Udara Internasional Soekarno Hatta Cengkareng

Load Control is a unit responsible for receiving and analyzing aircraft data and locals from various sources to ensure optimal aircraft balance with reference to safety and economical operation aspects. The purpose of this study is to understand the handling, challenges, and efforts of Load Control officers in creating the Weight and Balance for Malaysia Airlines Boeing 737-800 at PT JAS Soekarno Hatta Internasional Airport. The research method used in this study is descriptive qualitative, utilizing primary data (interviews and observations) and secondary data (documentation) in the from of Standard Operating Prosedures (SOP). Data analysis is conducted, data reduction, data presentation, and conclusions. The result of the study at Soekarno Hatta International Airport, Cengkareng, show that Load Control officers have carried out the Weight and Balance for Malaysia Airlines Boeing 737-800 in accordance with the specified Standard Operating Prosedures (SOP), especially in handling cargo that requires special attention. The challenges faced in creating Weight and Balance include ineffective communication between units, system disruptions or system down, and overload issues that can affect flight On The Performance. Efforts to address these challenges by Load Control officers include adhering to Standard Operating Prosedures (SOP), improving communication, and coordinating with various related parties to achieve On The Performance..

The Effect of Service Quality and Marketing Mix on Airport Train Customer Loyalty at BNI City Station Mediated by Customer Value

This research aims to analyze the mediating role of customer value on the influence of service quality and marketing mix on Soekarno-Hatta International Airport train customer loyalty. This research was carried out from March to May 2021 at BNI City Station. The population in this study were passengers who had used the airport train at BNI City Station. The sample method uses random samples. The data analysis method in this research uses Structural Equation Model Partial Least Square (SEM-PLS) with the help of SmartPLS 3.2.9. The results in this study show that service quality has a positive effect on customer loyalty, service quality has a positive effect on customer value, marketing mix has a positive effect on customer loyalty, marketing mix has a positive effect on customer value, customer value has a positive effect on customer loyalty, service quality has a positive effect on customer loyalty with the mediation of customer value, the marketing mix has a positive effect on customer loyalty with the mediation of customer value for the Soekarno-Hatta International International Airport train at BNI City Railway Station.

The Role of Immigration Intelligence In Tackling Human Smuggling Crimes at Soekarno-Hatta International Airport In 2023

The Role of Immigration Intelligence In Tackling Human Smuggling Crimes at Soekarno-Hatta International Airport In 2023

Idealitas Weight and Balance pada Pesawat Tipe Comac ARJ21-700 Maskapai TransNusa di Bandar Udara Internasional Soekarno-Hatta

The calculation of weight and balance requires high accuracy so that the flight can be carried out safely to the destination airport. A number of obstacles that load control officers experience can affect the ideality of weight and balance and must be properly calculated. The purpose of this research is to determine the ideal weight and balance of Comac ARJ21-700 aircraft of TransNusa airline at Soekarno-Hatta International Airport. This research uses qualitative and quantitative methods using primary data obtained through observation and interviews, secondary data using documentation and literature studies. Data collection techniques used by observation, interviews and documentation. Interviews were conducted with supervisors and senior load control narrow body and junior load control. Data analysis techniques by means of data collection, data reduction, data presentation, and conclusion drawing. The results of this study are the obstacles of load control officers in calculating the weight and balance of Comac ARJ21-700 aircraft of TransNusa airline, namely the delay of check-in officers in inputting data on the number of passengers and luggage. Determination of the location of passengers and luggage is carried out by check-in officers, if there is a mismatch, the load control officer makes a request to the check-in officer to maximize the front compartment. The average center of gravity of the Comac ARJ21-700 shows at -7.29UP which states that the center of gravity of the Comac ARJ21-700 is -7.29UP.

Air Temperature for Sustainable Airport Infrastructure and Environment

Understanding the patterns of air temperature in the local area is essential to mitigate potential destructive impacts and develop strategies for climate-resilient infrastructure. The pilot study focuses on the analysis of air temperature at Soekarno Hatta International Airport (SHIA), Indonesia. The study utilizes air temperature data collected over a 30-month period, grouped into six-month intervals. To assess the significance of means and distributions of air temperature points, independent t-tests are employed. Data visualizations are provided to clarify the air temperature patterns during the observation period. The findings reveal that SHIA has experienced warm and stable air temperatures over the last 30 months. However, to comprehensively study the various impacts from climatology and meteorology perspectives on airport infrastructure and operations, it is essential for future research to address limitations related to access to certain variables and consider employing multivariable forecasting techniques. By addressing these aspects, further investigations are able to provide deeper insights into the implications of air temperature on airport operations and contribute to formulate a strategy for developing a climate-resilient airport infrastructure.

A COMPARISON OF FUZZY TIME SERIES CHENG AND CHEN-HSU IN FORECASTING TOTAL AIRPLANE PASSENGERS OF SOEKARNO-HATTA AIRPORT

In some cases, the demand for flights has increased or decreased unexpectedly. Based on this airport as a service provider balance the availability of the service and the needs in the field. To balance all the provided services, the airport needs to predict the total passenger that would visit the airport on consecutive days. Thus, a form of time-series forecast is used in this research. We applied fuzzy time series (FTS) to forecasting total airplane passengers, where there are several logics in FTS including FTS Cheng’s Logic and FTS Chen-Hsu’s Logic. To determine the accuracy of the forecast, use three criteria, namely Root Mean Squared Error (RMSE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE). In terms of modelling and forecasting data, FTS Chen-Hsu’s Logic is better than FTS Cheng’s Logic. This is shown in the value of three accuracy criteria of FTS Chen-Hsu’s Logic are smaller than FTS Cheng’s Logic. Conclusion, FTS Chen-Hsu method can be used as a forecasting model for the total passenger airplane in Soekarno-Hatta International Airport

Job Involvement, Work Facilities, and Work Environment Influence Turnover Intention of Outsourced Employees (PT Angkasa Pura Solusi Integra - Soekarno Hatta Intenational Airport)

This study provides insights into determining the influence of Job Involvement, workplace facilities, and work environment on the Turnover Intention of outsourcing employees at PT. Angkasa Pura Solusi Integra (Soekarno Hatta International Airport). The research employed a quantitative approach with a total of 327 respondents from a population of 1801, which included outsourcing employees such as Avsec, Cleaning Service, Security PMAD, Trolley Collectors, Basket Collectors, and others. Simple random sampling was utilized as the sampling method. The primary data collected in this study involved questionnaires and direct observations. Data analysis was conducted using multiple linear regression techniques. Based on the research findings, both partially and simultaneously, it can be concluded that there is a significant negative influence of Job Involvement, Workplace Facilities, and Work Environment on the Turnover Intention of outsourcing employees.

Stochastic Modelling of Aircraft Ground Time at Soekarno-Hatta International Airport

Ground time plays an important role in keeping flight on-time performance and passenger smooth flow. It varies depending on the aircraft type, procedures, passenger number and/or cargo amount, maintenance requirements, and ground handling service quality. This research aims to explore the ground time distribution pattern at Soekarno-Hatta International Airport. The daily flight historical data is divided into several categories based on the airline’s service type for local airlines, the airline’s origin for foreign airlines, the type of flight, and aircraft size. Ground time data of each flight category is then fitted to all possible distribution types by using the Distribution Fitting app in Matlab. The best-fitted distribution definition uses the Kolmogorov-Smirnov test by comparing the p-value of each distribution. 6 distributions fit 20 flight categories. Almost all local airlines’ ground time except full-service carrier international flights and low-cost carrier international flights with wide-body aircraft fit to Burr distribution. Full-service carrier international flight with narrow and wide-body aircraft, international flight with narrow-body aircraft operated by airlines from China and other countries fit Generalized Extreme Value distribution. Low-cost carrier international flights with wide-body aircraft and private flights fit to Inverse Gaussian distribution. International flights with wide-body aircraft operated by airlines from Korea, Japan, and other countries airlines fit for Nakagami distribution. While the cargo flights fit t Location-Scale distribution for wide-body aircraft and Weibull distribution for narrow-body aircraft. Then the stochastic models are developed based on each flight category’s distribution parameters. These models are expected to be able to guide future research in ground time or apron capacity management as they provide the data distribution without more primary data needed.

Analysis of CO2 Emission Reduction in Aviation Using Mix of 2,4% Biofuel

The activities of flight have an impact on the environment. Combustion from aircraft fuel produces chemical products that have been emitted from the high-speed aircraft engine. Aircraft engines produce emissions that are similar to other emissions resulting from fossil fuel combustion. The transportation sector include land and air transportation produced 22,4 % from all energy sector. To reduce aircraft emissions while maintaining healthy economic growth, the aviation sector needs to reduce the use of fossil jet fuel by using sustainable aviation fuel. The use of biofuel in airplanes does not completely replace the fuel we use today, but gradually starting with a mixture of 10 % or 20 %. Several European countries and China have used biofuels made from waste in each country. Likewise in Indonesia, Pertamina collaborates with ITB, producing aircraft fuel from palm oil. The flight test using a Garuda Boeing 737 aircraft was successful using a mixture of 2.4% biofuel in October 2023. The CO2 emission estimation calculations at three large airports in Indonesia, Soekarno-Hatta International Airport Jakarta, Juanda International Airport Surabaya and Sultan Hasanuddin International Airport Makassar that using aviation fuel and a mix of aviation fuel with 2.4 % biofuel, reduce by 2.83 % - 2.95 %.

Simplified Spatial Wind Vector Interpolation Method for Airport Runway Orientation Analysis

Runway orientation, guided by windrose analysis is crucial in airport planning as it directly influences aircraft performance and airport capacity. Proper alignment reduces crosswind components during takeoff and landing, ensuring safer operations and increase runway coverage. For a new airport in a location where comprehensive historical wind data is not available, prediction methods become an invaluable tool. To address this issue, this paper proposes a simplified interpolation method to predict wind data at target location based on available data from surrounding climate station readings. This paper validates the proposed method through a comparative analysis of predicted and actual windrose and its subsequent runway coverage at two prominent currently operational Indonesian airports: Soekarno Hatta International Airport in Cengkareng (CGK) and Sultan Hasanuddin International Airport in Ujung Pandang (UPG). Additionally, the study employs the proposed method to determine the optimal runway orientation for a new VVIP airport in Indonesia's new capital city (IKN), Nusantara. The analysis reveals that the proposed interpolation method yields runway heading recommendations closely aligned with those derived from actual wind data, both for the case of CGK and UPG airport. The proposed method recommends optimal runway heading between 03-21 and 08-26 for new VVIP Airport at Nusantara, new capital city of Indonesia (IKN).

Utilitarian value and hedonic value: Empirical evidence of purchase intention at Soekarno-Hatta international airport

Utilitarian value and hedonic value: Empirical evidence of purchase intention at Soekarno-Hatta international airport

Pelatihan pencegahan dan penanggulangan bahaya kebakaran di fire station Bandar Udara Internasional Soekarno-Hatta

The importance of awareness of fire risks in the community, especially at airports, encourages the need for effective prevention and countermeasures. Community service by lecturers of the D.III PKP Study Program through this training aims to provide knowledge and skills to the community of airport service users, especially workers in tenants, regarding how to prevent and overcome fires. Involving the Tri Darma Perguruan Tinggi concept, this training not only touches on aspects of fire prevention but also discusses fire phenomena, risk analysis, emergency response, and fire management. It is hoped that training participants will benefit them through increased knowledge and understanding that can increase awareness of fire risks so that the community around Soekarno-Hatta International Airport can be better prepared and trained in dealing with potential fire hazards.

Analisa Kelayakan Finansial Proyek Automated People Mover System Bandar Udara Internasional Soekarno-Hatta

The growth in the number of passengers continues to increase every year, so increasing capacity is a challenge for airport operators, including by increasing the number of sub-terminals, namely: terminal 1, terminal 2 and terminal 3. being a passenger is a new problem that must be solved because the lockdown creates the potential for traffic jams and causes passengers to be late. To overcome these problems, Soekarno-Hatta International Airport has made modifications to carry out infrastructure development that can provide an integrated, dedicated transportation service system so that priority passenger mobility can be served properly. The operation of flying boats is a service system supporting intermodal and inter-sub-terminal connectivity, the cost of organizing flying boats requires quite large costs, namely investment costs and operational costs. / Passenger Service Fee (PSC), since the corona virus disease (covid 19) pandemic, this income has been decreasing. The research aims to financial analysis of the Automated People Mover System Project and perform calculations such as the Internal Return Rate, Net Present Value, Return On Investment, and Pay Back Period. The research results are declared not feasible because they are not providing benefit.

PERFORMANCE COMPARISON OF SARIMA INTERVENTION AND PROPHET MODELS FOR FORECASTING THE NUMBER OF AIRLINE PASSENGER AT SOEKARNO-HATTA INTERNATIONAL AIRPORT

The impact of the COVID-19 pandemic on the air transportation sector, particularly Soekarno-Hatta (Soetta) International Airport, has been quite significant. The number of passengers at Soetta Airport has decreased due to the COVID-19 pandemic, but flight activities are still ongoing to this day. An accurate forecasting model is needed to predict the number of airline passengers at Soetta Airport with the presence of the COVID-19 pandemic as an intervention. In this study we discuss performance comparison of two models namely SARIMA intervention and Prophet in forecasting the number of domestic passengers at Soetta Airport. The research results showed that the best SARIMA intervention model was SARIMA (0,1,1)(1,0,0)12 b = 0, s = 20, r = 0, with a Mean Absolute Percentage Error (MAPE) of 28% and Root Mean Square Error (RMSE) of 433473. On the other hand, the Prophet model yielded a MAPE of 37% and an RMSE of 497154. In terms of MAPE and RMSE, the SARIMA intervention method provides better results than the Prophet model in forecasting the number of domestic passengers at Soetta Airport.