ANALISIS KEBUTUHAN FASILITAS PENGINAPAN DALAM MENDUKUNG PELAYANAN PENUMPANG DI BANDAR UDARA AJI PANGERAN TUMENGGUNG PRANOTO SAMARINDA // ANALYSIS OF THE NEED FOR LODGING FACILITIES TO SUPPORT PASSENGER SERVICES AT AJI PANGERAN TUMENGGUNG PRANOTO AIRPORT IN SAMARINDA

Penelitian ini bertujuan untuk menganalisis tingkat kebutuhan fasilitas penginapan serta pengaruhnya terhadap optimalisasi pelayanan penumpang di Bandar Udara Aji Pangeran Tumenggung Pranoto Samarinda. Penelitian ini menggunakan metode kuantitatif dengan menggunakan survei teknik pengambilan data Self Selection Sampling. Berdasarkan perhitungan rumus Rule of Thumb dengan tingkat toleransi kesalahan 5%, diperoleh sampel sebanyak 100 responden penumpang di area keberangkatan. Analisis data dilakukan melalui teknik regresi linear sederhana berbantuan perangkat lunak SPSS versi 27. Hasil analisis deskriptif menunjukkan bahwa variabel Kebutuhan Fasilitas Penginapan (X) berada pada kategori baik dengan skor rata-rata 4,17, dan variabel Pelayanan Penumpang (Y) tergolong sangat baik dengan skor 4,22. Uji hipotesis secara parsial membuktikan adanya pengaruh positif dan signifikan (t-hitung 8,777; sig 0,000). Nilai koefisien determinasi (R²) sebesar 44,0% menunjukkan besaran kontribusi variabel X terhadap variabel Y. Penelitian ini memberikan kontribusi praktis sebagai landasan strategis manajemen penanganan perubahan jadwal penerbangan dan pendorong pendapatan non-aeronautika, serta kontribusi akademis dalam memperkaya literatur manajemen kebandarudaraan terkait penyediaan infrastruktur pemulihan fisik guna mewujudkan pelayanan prima. // This study aims to analyze the level of need for lodging facilities and its effect on optimizing passenger services at Aji Pangeran Tumenggung Pranoto Airport, Samarinda. This research employs a quantitative method using a survey approach with a Self-Selection Sampling data collection technique. Based on the Rule of Thumb calculation with a 5% margin of error, a sample of 100 passenger respondents in the departure area was obtained. Data analysis was conducted through a simple linear regression technique assisted by SPSS version 27 software. The descriptive analysis results indicate that the Lodging Facility Needs variable (X) falls into the 'good' category with a mean score of 4.17, while the Passenger Service variable (Y) is classified as 'very good' with a score of 4.22. The partial hypothesis test demonstrates a positive and significant effect (t-value 8.777; sig. 0.000). Furthermore, the coefficient of determination (R²) of 44.0% indicates the magnitude of variable X's contribution to variable Y. This research provides practical contributions as a strategic foundation for managing flight schedule changes and boosting non-aeronautical revenues, as well as academic contributions by enriching airport management literature regarding the provision of physical recovery infrastructure to achieve service excellence.