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All Journal Syntax Literate: Jurnal Ilmiah Indonesia IIJSE
Ramadani, Rizki Agung
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Humanities Economics, Econometrics & Finance Education 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.
Identifying Customer Segmentation and Persona of Amazon Customer: An Approach Using K-Means Clustering Ramadani, Rizki Agung; Arum Kusuma, Tiyanda Hanti; Dwiputri, Rinta Agustiani; Heikal, Jerry
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 3 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i3.6176

Abstract

Technological developments have transformed traditional buying and selling practices into online transactions. Amazon, as one of the largest e-commerce platforms, continues to innovate to maintain its competitive advantage, offering a variety of products and services. This research uses the K-Means Clustering method to identify Amazon's customer segmentation and devise more effective marketing strategies. The analysis results show three main clusters: Price-Sensitive Browsers, Review-Driven Shoppers, and Quality Seekers. Cluster 2, which accounts for 47.49% of the total sample, is the most potential. Consumers in this cluster shop weekly, want better prices, pay attention to product reviews, and care about eco-friendly packaging. The right target segment for Amazon is women aged 24-26 who regularly shop weekly and care about environmental sustainability. By understanding consumer needs and preferences, Amazon can develop more effective marketing strategies, increase customer satisfaction and loyalty, and maintain its competitive advantage.
Analysis of Factors Influencing Repurchase Decision of Flight Tickets of Garuda Indonesia Airlines Using Binary Logistic Regression Ramadani, Rizki Agung; Arum Kusuma, Tiyanda Hanti; Dwiputri, Rinta Agustiani; Heikal, Jerry
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 2 (2025): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.6474

Abstract

The aviation industry in Indonesia is one of the sectors that has experienced rapid growth along with the increasing mobility of society and the need for air transportation. This study aims to analyze the factors that influence the decision to repurchase airline tickets at Garuda Indonesia Airlines using the Binary Logistic Regression method. The aviation industry in Indonesia, especially Garuda Indonesia Airlines, faces a major challenge in maintaining customer loyalty amidst tight market competition. Consumer decisions to repurchase airline tickets or make a repurchase are important indicators in determining the success of an airline's marketing and service strategy. This study uses a quantitative approach with a cross-sectional survey design, involving 197 respondents selected through a purposive sampling technique. Data were collected through a structured questionnaire that measured seven factors of service quality and customer satisfaction. The analysis was conducted using SPSS, and the results showed that of the various indicators tested, four factors had a significant influence on repurchase decisions. These factors are call center services, promotions through official websites, email blasting, and Garudamiles services. Call center service factors, promotions through websites and email blasting, and the existence of Garudamiles membership products tend to be important factors that influence repurchase decisions with an accuracy rate of 80.7%. These results provide insight for Garuda Indonesia to optimize marketing strategies to increase customer retention and profitability.
Co-Authors Arum Kusuma, Tiyanda Hanti Dwiputri, Rinta Agustiani Hati, Berliyana Kesuma Heikal, Jerry