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Hubungan Kecemasan Terhadap Kepercayaan Diri Dalam Menghadapi Dunia Kerja Pada Taruna Semester Akhir API Banyuwangi FAJAR ISLAM; Arief Rusdyansyah; Dimas Hari Cahyo; Kukuh Ferdian
SKYHAWK : Jurnal Aviasi Indonesia Vol. 4 No. 2 (2024): SKYHAWK: Jurnal Aviasi Indonesia
Publisher : Akademi Penerbang Indonesia Banyuwagi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52074/skyhawk.v4i2.259

Abstract

Hubungan Kecemasan terhadap Kepercayaan Diri dalam Menghadapi Dunia Kerja pada Taruna Semester Akhir Akademi Penerbang Indonesia Banyuwangi. Dalam penelitian ini terdapat dua variabel X (Kecemasan), variabel Y (Kepercayaan Diri) dalam menghadapi dunia kerja pada taruna semester akhir Akademi Penerbang Indonesia Banyuwangi. Tujuan penelitian ini adalah untuk mengetahui adakah hubungan kecemasan terhadap kepercayaan diri dalam menghadapi dunia kerja pada taruna semester akhir Akademi Penerbang Indonesia Banyuwangi. Teknik pengambilan sampel dalam penelitian ini dilakukan dengan probability sampling dengan sampel sebanyak 40 taruna semester akhir yaitu D-III Penerbang Sayap Tetap Angkatan 2 dan DIII Operasi pesawat Udara Angkatan 1 Akademi Penerbang Indonesia Banyuwangi. Analisis data menggunakan uji korelasi pearson product moment yang digunakan untuk menguji variabel bebas dan variabel terikat. Berdasarkan hasil analisis data dengan menggunakan metode pearson product moment diperoleh nilai sebesar -0,505 dengan nilai signifikansi sebesar 0,001 yang kurang dari 0,05 yang berarti memiliki hubungan negatif yang signifikan antara kecemasan dan kepercayaan diri. Jadi dapat disimpulkan jika variabel kecemasan tinggi maka variabel kepercayaan diri rendah dan sebaliknya jika variabel kepercayaan diri tinggi maka variabel kecemasan rendah.
PREDICTION OF SEA LEVEL MEASUREMENT IN PANGPANG BAY FOR SEAPLANE LANDING SEAPLANE LANDING USING ID CONVOLUTIONAL NEURAL NETWORK Setiawan, Ariyono; Islam, Fajar; Efendi, Efendi; Globalisasi, Safitri Era; Hammad, Jehad A. H
Jurnal Praksis dan Dedikasi Sosial (JPDS) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um032v7i2p176-195

Abstract

This research investigates the relationship between sea level height and various environmental factors in Pangpang Bay, Indonesia, using Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) modeling techniques. Daily data on sea level height, weather, and oceanography were collected from April 1 to April 15, 2024. An analysis was conducted on the factors affecting sea level height and the evaluation of predictive model performance. The findings reveal historical patterns of sea level height changes influenced by the variability of meteorological and oceanographic conditions. Although ANN and CNN models have varying degrees of accuracy, both show potential in predicting sea level height by considering environmental factors. Recommendations include the development of more advanced predictive models, deeper data observation, integration of multidisciplinary information, continuous environmental monitoring, and stakeholder collaboration. This research is expected to contribute to the understanding and management of environmental risks related to sea level height in Pangpang Bay.
Flying High with Strategic HR: Transforming Business Operations in the Aviation Sector Miko Andi Wardana; Dede Ardian; Fajar Islam
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 1 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i3.6024

Abstract

This research investigates the impact of strategic human resources practices and operational efficiency on business performance within the aviation sector, with a focus on Employee Engagement and Organizational Culture as mediating factors. The study utilized a quantitative approach with a sample of 82 staff members from Juanda International Airport, applying a random sampling technique and employing SmartPLS for data analysis. The research examined how Recruitment and Selection and Training and Development influence Employee Engagement, which in turn affects Business Performance. It also explored how Process Optimization and Resource Management impact Operational Efficiency and, subsequently, Business Performance. The findings indicate that both Recruitment and Selection and Training and Development significantly enhance Employee Engagement, which positively influences Business Performance. Operational Efficiency, influenced by Resource Management, also affects Business Performance, though Process Optimization did not show a direct significant effect. Organizational Culture emerged as a critical mediator, linking Operational Efficiency to Business Performance. The study underscores the importance of integrated strategic human resources practices and efficient operational processes in optimizing business outcomes. These results provide valuable insights for organizations aiming to improve their performance through effective human resources and operational strategies. Future research is suggested to explore additional variables and contexts to deepen the understanding of these relationships.