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Integrating Pedagogical Competence and Industrial Training to Improve Graduate Quality in Aviation Vocational Education Ade Irfansyah; Yuyun Suprapto; Bambang Bagus Hariyanto
Langit Biru: Jurnal Ilmiah Aviasi Vol 19 No 2 (2026): Langit Biru: Jurnal Ilmiah Aviasi
Publisher : Politeknik Penerbangan Indonesia Curug

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54147/langitbiru.v19i2.1591

Abstract

Vocational aviation education must deliver graduates whose competencies match strict regulatory and industry standards amid fast technological change. This study investigates how lecturer competence and industrial training jointly influence graduate quality in Indonesian state aviation polytechnics, and whether the learning process mediates these relationships. Using a quantitative ex-post facto design, we surveyed 274 final-year students from seven state aviation polytechnics selected through proportionate stratified random sampling. A structured questionnaire measured lecturer competence, industrial training, learning process, and perceived graduate quality. Data were analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4.0 to assess measurement validity and reliability, estimate direct and indirect effects, and evaluate model fit and predictive performance via path coefficients, R², Q², and the standardized root mean square residual (SRMR). The findings show that both lecturer competence and industrial training exert significant direct effects on graduate quality. The learning process is a strong predictor of graduate outcomes and partially mediates the effects of lecturer competence and industrial training, indicating that effective pedagogy and well-designed workplace learning reinforce each other. These results support integrating pedagogical development with industry-based learning strategies to strengthen graduate quality in aviation vocational education. Policymakers should align curricula, assessment, and partnership governance.
MODIFIKASI SISTEM MONITORING KEAMANAN LOCAL AREA NETWORK BERBASIS NOTIFIKASI TELEGRAM DENGAN SNORT DAN HONEYPOT DI POLITEKNIK PENERBANGAN SURABAYA Nyaris Pambudiyatno; Bambang Bagus Hariyanto; Yuyun Suprapto; Ade Irfansyah
Jurnal Penelitian Vol. 10 No. 3 (2025): Jurnal Penelitian September 2025
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v10i3.2143

Abstract

This research aims to develop a network security system based on the Network Intrusion Detection and Prevention System (NIDPS) that combines Snort and Honeypot, and is integrated with Telegram to provide instant notifications related to network anomalous activity. The research method used is Research and Development (R&D) with the ADDIE model, which includes analysis, design, development, implementation, and evaluation. Snort plays a role in detecting cyber threats through network traffic analysis, while Honeypot serves to trick attackers by mimicking the original server. The fail2ban feature was added to block repeated attack attempts such as brute force. Quality of Service (QoS) testing, which includes throughput, packet loss, delay, and jitter, shows that the system is able to detect a wide range of threats without significantly impacting network performance. The system developed is not only effective in detecting cyberattacks, but also provides real-time alerts through Telegram, thus helping in mitigating potential damage. Further developments are proposed to improve detection against more complex attacks and optimize the system's integration with Telegram for faster notifications.
PORTABLE ADSB MULTIPLE RECEIVER BASED ON RASPBERRY PI USING RTL-SDR NYARIS PAMBUDIYATNO; BAMBANG BAGUS HARIANTO; YUYUN SUPRAPTO; ADE IRFANSYAH; ACHMAD SETIYO PRABOWO; RR.RETNO SAFITRI WULANDARI
Journal of Research in Social Science and Humanities Vol 5, No 1 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i2.336

Abstract

Automatic Dependent Surveillance-Broadcast (ADS-B) is a technology used in aircraft monitoring systems, where aircraft transmit identity, position, speed, and other data via open radio signals. Receiving and decoding ADS-B signals to obtain real-time flight information have been of significant interest in the aviation field. In this study, we propose the implementation of a multi-receiver ADS-B system based on RTL-SDR (Software-Defined Radio) to enhance monitoring coverage and flight data accuracy. RTL-SDR is a cost-effective and versatile platform that uses hardware programmable through software to receive radio signals. To demonstrate the effectiveness and performance of the multi-receiver RTL-SDR-based ADS-B system, a series of experiments will be conducted in different environments, followed by a comparison of results with another platform, namely Flight Radar24. The system's performance will be evaluated, yielding a success rate of 83.8%, accuracy of 76.68%, and equipment sensitivity of 64.17 dBm. For Quality of Service (QoS) analysis, the obtained results are as follows: throughput falls under the category of very good, packet loss is categorized as moderate, delay is categorized as very good, and jitter is categorized as bad