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All Journal Syntax Literate: Jurnal Ilmiah Indonesia International Journal of Electronics and Communications Systems
Hati, Berliyana Kesuma
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Humanities Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Doratask: The Effect of Runway Occupation Time on Optimizing Runway Capacity at Nop Goliat Dekai Airport Ramadani, Rizki Agung; Hati, Berliyana Kesuma
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i1.17508

Abstract

Nop Goliat Dekai Airport experienced an increase of 18.8 percent per year for passengers, 27.9 percent for cargo, and 19.4 percent of airport capacity both in terms of land and air. Due to the increasing number of aircraft movements, airport management is evaluating the value of runway capacity to improve service and comfort for airport customers. The aim of this research is to see how runway occupancy time and runway capacity influence the optimization of runway use. By using the DORATASK approach, this research aims to estimate the impact of runway occupancy time and runway capacity on air traffic services. The values for occupancy time and available runway capacity are still below the maximum values and have no effect on air traffic services, the study found. Runway 25 has an average Runway Occupancy Time (MROT) of 122.35 seconds, while runway 07 has a MROT of 115.23 seconds. Based on calculations, the Declared Runway Capacity (DCR) is 14 movements per hour, but currently the runway is only used 80% or 11 movements per hour at the busiest hours. This data shows that the runway capacity at Nop Goliat Dekai Airport is still in accordance with its performance.
Analysis of Google Stock Prices from 2020 to 2023 using the GARCH Method Athaulloh, M Farhan; Mubarok, Husni Na’fa; Sharov, Sergii; Hati, Berliyana Kesuma; Muthoharoh, Luluk; Alvionita, Mika
International Journal of Electronics and Communications Systems Vol. 3 No. 2 (2023): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v3i2.20899

Abstract

This research focuses on Google's share price movements, considering their significant impact on the financial market, using Google's share price data from 2020 to 2023. The aim is to analyze error variance and forecast and provide valuable information to stockbrokers and investors. The ARMA model has shortcomings in dealing with volatility, so the GARCH model is used to overcome it. Research methods include financial data analysis, preprocessing, and modeling with GARCH. The rolling forecast method describes changes in price patterns over time. Evaluation using MAPE validates the prediction accuracy of the ARIMA model. The best model chosen with the most negligible AIC value criteria was the ARIMA(3,0,2)GARCH(1,1) model. The forecasting results show accurate stock price predictions with an average MAPE value of 20.7 percent. This research provides an essential basis for brokers and investors in making investment decisions based on a deep understanding of the dynamics of Google's share price movements in the above time frame.
Co-Authors Alvionita, Mika Athaulloh, M Farhan Mubarok, Husni Na’fa Muthoharoh, Luluk Ramadani, Rizki Agung Sharov, Sergii