https://jurnal.sttkd.ac.id/index.php/jfa <p>Jurnal Flight Attendant Kedirgantaraan diterbitkan untuk mengembangkan kajian di bidang pelayanan di industri kedirgantaraan. Jurnal Flight Attendant Kedirgantaraan juga berusaha mengembangkan penelitian di bidang pariwisata dan pelayanan pada umumnya yang mendukung industri bisnis maskapai penerbangan.</p> <p><img src="/public/site/images/admin/Open_Access2.png" width="101" height="40"></p> en-US [email protected] (Dhiani Dyahjatmayanti) [email protected] (Yulia Aji Puspitasari) Mon, 06 Jul 2026 12:50:28 +0700 OJS 3.1.2.1 http://blogs.law.harvard.edu/tech/rss 60 https://jurnal.sttkd.ac.id/index.php/jfa/article/view/1835 <p><em>The fisheries sector in coastal areas faces complex structural challenges, including middlemen dominance and a lack of price transparency. This research aims to analyze the feasibility of implementing an online marketplace business model through the Business Model Canvas (BMC) approach in Pacitan Regency. Using a qualitative descriptive method with 11 informants, data validity was ensured through source and technique triangulation. The results show that the current AS-IS model is characterized by the absolute dependence of fishermen on collectors through the debt-bondage (ijon) system. The TO-BE model design offers great transformational potential through market disintermediation and the revitalization of cooperatives as technology aggregators. However, gap analysis concludes that the realization of this potential determinately depends on meeting physical prerequisites, namely the availability of cold storage infrastructure and the enhancement of fishermen's digital literacy to overcome supply chain bottlenecks. This research recommends a socio-cultural approach through the role of cooperative institutions to ensure the sustainability of the digital ecosystem.</em></p> <p><strong><em>Keywords:</em></strong><em> Business Model Canvas, Marketplace Online, Fish Supply Chain, Transformational Potential, Digital Literacy.</em></p> <p>&nbsp;</p> Lutfiana Dahlan, Dila Damayanti Copyright (c) 2026 Flight Attendant Kedirgantaraan : Jurnal Public Relation, Pelayanan, Pariwisata https://jurnal.sttkd.ac.id/index.php/jfa/article/view/1835 Fri, 31 Jul 2026 00:00:00 +0700 https://jurnal.sttkd.ac.id/index.php/jfa/article/view/1874 <p><em>This study presents the development and performance evaluation of an airport security gate prototype based on facial recognition technology to enhance verification efficiency and minimize human error in passenger identity checks. The proposed system utilizes Raspberry Pi 4 as the main embedded controller, integrated with a USB camera for image acquisition, MTCNN (Multi-Task Cascaded Convolutional Networks) for robust face detection, FaceNet pretrained model for deep feature extraction, and Support Vector Machine (SVM) for identity classification. Output components include an I2C LCD module for real-time status display and a servo motor for automated gate access control. Experimental testing was conducted on five enrolled individuals with a dataset of 700 facial images (224×224 pixels) captured under varying lighting conditions. Results demonstrated recognition accuracy of 96–98% under optimal lighting conditions (108 lux) with an average response time of 5–7 seconds. However, system performance significantly degraded under low illumination (37 lux) and non-frontal face positions, indicating environmental sensitivity. The closed-loop architecture with common ground implementation ensured stable stand-alone operation. This prototype offers a low-cost, automated alternative to conventional manual verification systems, though further development is required to enhance robustness in diverse environmental conditions and enable real-time enrollment capabilities.</em></p> Benaya Yoyada, Muhammad Luqman Bukhori, Edi Sofyan Copyright (c) 2026 Flight Attendant Kedirgantaraan : Jurnal Public Relation, Pelayanan, Pariwisata https://jurnal.sttkd.ac.id/index.php/jfa/article/view/1874 Wed, 08 Jul 2026 12:20:35 +0700