Perancangan Prototype Sistem Pendeteksi Penyusup Perimeter Bandar Udara dengan Metode Fuzzy Logic Berbasis Internet of Things
Abstract
Keamanan Penerbangan merupakan suatu kondisi yang memberikan pelindungan kepada penerbangan dari Tindakan Melawan Hukum atau Unlawful Act of Interference melalui perpaduan antara pemanfaatan sumber daya manusia, fasilitas, dan prosedur. Terdapat berbagai jenis tindakan melawan hukum dalam dunia penerbangan salah satunya adalah memasuki Daerah Keamanan Tebatas, atau wilayah fasilitas aeronautika secara tidak sah seperti kasus “Mario” yang melakukan penyusupan perimeter bandar udara sehingga bisa masuk ke roda pesawat Garuda Indonesia pada tahun 2015. Untuk mencegah terjadinya kejadian serupa, maka perlu diterapkan fasilitas keamanan penerbangan dengan teknologi terkini untuk mengantisipasi adanya penyusup yang memasuki Daerah Keamanan Terbatas. salah satunya adalah sistem deteksi penyusup perimeter (PIDS). Dalam penelitian ini, dilakukan perancangan PIDS berbasis internet of things dengan menggunakan metode fuzzy logic. PIDS yang dirancang menggunakan mikrokontroler Node MCU ESP8266 dan dilengkapi sensor PIR untuk mendeteksi pergerakan manusia, sensor ultrasonik untuk mengukur jarak, kamera ESP-32, relay, serta indikator buzzer. Berdasarkan pengujian, seluruh subsistem dapat bekerja dengan baik sehingga dapat diimplementasikan ke dalam suatu sistem PIDS.
Downloads
Download data is not yet available.
References
[1] Peraturan Menteri Perhubungan Republik Indonesia Nomor: PM 51 Tahun 2020 tentang Keamanan Penerbangan Nasional
[2] Amanda Nurma Hariyanti, Satiti Utami, Herman Susanto. Kajian Pengamanan Perimeter Dalam Menunjang Keamanan Penerbangan Di Bandar Udara Internasional Adi Soemarmo-Surakarta. Jurnal Ilmiah Aviasi Langit Biru Vol. 12 No.3 Oktober 2019 Hal 1 : 178
[3] Keputusan Direktur Jenderal Perhubungan Udara Nomor KP 138 Tahun 2018 tentang Sertifikasi Peralatan Keamanan
[4] Rinaldi. 2022. Materi ITS : Indoktrinasi Pengenalan Fasilitas Keamanan Penerbangan. Jakarta: Kementerian Perhubungan RI.
[5] Xie Z, Qin Y. High-speed railway perimeter intrusion detection approach based on Internet of Things. Advances in Mechanical Engineering. 2019;11(2). doi:10.1177/1687814018821511.
[6] Hoang ML. Smart Drone Surveillance System Based on AI and on IoT Communication in Case of Intrusion and Fire Accident. Drones. 2023; 7(12):694. https://doi.org/10.3390/drones7120694.
[7] Rambabu, Kalathiripi. (2019). IoT Based Human Intrusion Detection System using Lab View. International Journal of Innovative Technology and Exploring Engineering. 8. 10.35940/ijitee.F1115.0486S419.
[8] Seung Hyun Kim, Su Chang Lim, Do Yeon Kim, Intelligent intrusion detection system featuring a virtual fence, active intruder detection, classification, tracking, and action recognition, Annals of Nuclear Energy, Volume 112, 2018, Pages 845-855, ISSN 0306-4549, https://doi.org/10.1016/j.anucene.2017.11.026.
[9] P. Shirin Saleem, A. Sushanand, J. A. Renji, M. Aman, D. James and K. S. Lakshmi, "AI-Empowered Intruder Alert System for Enhanced Security Surveillance," 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2023, pp. 1-8, doi: 10.1109/ICACRS58579.2023.10404156.
[10] [N. Chandra and S. P. Panda, " A Human Intruder Detection System for Restricted Sensitive Areas," 2021 2nd International Conference on Range Technology (ICORT), Chandipur, Balasore, India, 2021, pp. 1-4, doi: 10.1109/ICORT52730.2021.9582099.
[11] Prabu and P. Sudhakar, "Design and Implementation of an Automated Control System for Anomaly Detection Using an Enhanced Intrusion Detection System," 2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2022, pp. 1-7, doi: 10.1109/ICSTCEE56972.2022.10100003.
[12] D. Arjun, P. Indukala and K. A. U. Menon, "Integrated Multi-sensor framework for Intruder Detection in Flat Border Area," 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC), Chennai, India, 2019, pp. 557-562, doi: 10.1109/ICPEDC47771.2019.9036577.
[13] D. Arjun, P. K. Indukala and K. A. Unnikrishna Menon, "PANCHENDRIYA: A Multi-sensing framework through Wireless Sensor Networks for Advanced Border Surveillance and Human Intruder Detection," 2019 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2019, pp. 295-298, doi: 10.1109/ICCES45898.2019.9002161.
[14] Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham, Human tracking and identification through a millimeter wave radar, Ad Hoc Networks, Volume 116, 2021, 102475, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2021.102475.
[15] S. Yasukawa and M. Kim, "Intruder Detection Using Radio Wave Propagation Characteristics," 2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), JeJu, Korea (South), 2018, pp. 206-212, doi: 10.1109/ICCE-ASIA.2018.8552128.
[16] Almonfrey D, do Carmo AP, de Queiroz FM, Picoreti R, Vassallo RF, Salles EOT. A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network. International Journal of Distributed Sensor Networks. 2018;14(3). doi:10.1177/1550147718763550.
[17] Sri Yulianto J.P., Indrastanti R.W., Martha Oktriani. Decision Support Applications Using Fuzzy Logic (Case Study: Determination of Computer Specifications for a Complete Computer Package). Journal of Informatics, Vol.4, No. 2, December 2008: 159 – 173
[18] Harahap, Siti Dewi Dayanti. 2019. "Automatic Door Design Using Fuzzy Logic Control Method." Jurnal Pelita Informatika, Vol.7, No.4, 579-582.
[19] N. K. Sabat, U. C. Pati, B. R. Senapati and S. K. Das, "An IoT Concept for Region Based Human Detection Using PIR Sensors and FRED Cloud," 2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP), Chennai, India, 2019, pp. 1-4, doi: 10.1109/ICESIP46348.2019.8938286.
[20] Abdullah, Cholish, Moh. Zainul Haq. Utilization of IoT (Internet of Things) in Monitoring Smoke Density Levels and Camera Tracking Control. Scientific Journal of Electrical Engineering Education, Vol.5, No.1, February 2021 H.86
[21] China factory anti climb electric fence energizer and alarm for home and garden URL: https://www.alibaba.com/product-detail/China-factory-anti-climb-electric fence_60756687786.html?spm=a2700.galleryofferlist.normal_offer.d_title.f0ca44bdklaYQE
[22] Putra, I., Sukadarmika, G., & Sastra, N. (2023). Perankingan Dosen Berbasis Aktifitas Forum Moodle Menggunakan Metode Fuzzy Tsukamoto. Majalah Ilmiah Teknologi Elektro, 22(1), 63-70. doi:10.24843/MITE.2023.v22i01.P08
[23] Sutikno, T., Susanto, D., & Purnama, H. (2023). Sistem Monitoring Debit Air Berbasis Internet of Things pada Saluran Air. Majalah Ilmiah Teknologi Elektro, 22(2), 159-164. doi:10.24843/MITE.2023.v22i02.P01
[24] Rima Tamara Aldisa, Sechan Alfaris. Sistem Pendeteksi Keamanan Ruangan “Smart Security” Dengan Metode Fuzzy Logic Menggunakan Sensor PIR Berbasis Internet of Things (IoT). Volume 4, Nomor 1, September 2022. Hal: 176−183
[25] Gorunescu, F. (2011). Data Mining: Concepts, Models and Techniques. Data mining - Concepts, Models and Technique. https://doi.org/10.1007/978-3-642-19721-5.
[2] Amanda Nurma Hariyanti, Satiti Utami, Herman Susanto. Kajian Pengamanan Perimeter Dalam Menunjang Keamanan Penerbangan Di Bandar Udara Internasional Adi Soemarmo-Surakarta. Jurnal Ilmiah Aviasi Langit Biru Vol. 12 No.3 Oktober 2019 Hal 1 : 178
[3] Keputusan Direktur Jenderal Perhubungan Udara Nomor KP 138 Tahun 2018 tentang Sertifikasi Peralatan Keamanan
[4] Rinaldi. 2022. Materi ITS : Indoktrinasi Pengenalan Fasilitas Keamanan Penerbangan. Jakarta: Kementerian Perhubungan RI.
[5] Xie Z, Qin Y. High-speed railway perimeter intrusion detection approach based on Internet of Things. Advances in Mechanical Engineering. 2019;11(2). doi:10.1177/1687814018821511.
[6] Hoang ML. Smart Drone Surveillance System Based on AI and on IoT Communication in Case of Intrusion and Fire Accident. Drones. 2023; 7(12):694. https://doi.org/10.3390/drones7120694.
[7] Rambabu, Kalathiripi. (2019). IoT Based Human Intrusion Detection System using Lab View. International Journal of Innovative Technology and Exploring Engineering. 8. 10.35940/ijitee.F1115.0486S419.
[8] Seung Hyun Kim, Su Chang Lim, Do Yeon Kim, Intelligent intrusion detection system featuring a virtual fence, active intruder detection, classification, tracking, and action recognition, Annals of Nuclear Energy, Volume 112, 2018, Pages 845-855, ISSN 0306-4549, https://doi.org/10.1016/j.anucene.2017.11.026.
[9] P. Shirin Saleem, A. Sushanand, J. A. Renji, M. Aman, D. James and K. S. Lakshmi, "AI-Empowered Intruder Alert System for Enhanced Security Surveillance," 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2023, pp. 1-8, doi: 10.1109/ICACRS58579.2023.10404156.
[10] [N. Chandra and S. P. Panda, " A Human Intruder Detection System for Restricted Sensitive Areas," 2021 2nd International Conference on Range Technology (ICORT), Chandipur, Balasore, India, 2021, pp. 1-4, doi: 10.1109/ICORT52730.2021.9582099.
[11] Prabu and P. Sudhakar, "Design and Implementation of an Automated Control System for Anomaly Detection Using an Enhanced Intrusion Detection System," 2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, 2022, pp. 1-7, doi: 10.1109/ICSTCEE56972.2022.10100003.
[12] D. Arjun, P. Indukala and K. A. U. Menon, "Integrated Multi-sensor framework for Intruder Detection in Flat Border Area," 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC), Chennai, India, 2019, pp. 557-562, doi: 10.1109/ICPEDC47771.2019.9036577.
[13] D. Arjun, P. K. Indukala and K. A. Unnikrishna Menon, "PANCHENDRIYA: A Multi-sensing framework through Wireless Sensor Networks for Advanced Border Surveillance and Human Intruder Detection," 2019 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2019, pp. 295-298, doi: 10.1109/ICCES45898.2019.9002161.
[14] Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham, Human tracking and identification through a millimeter wave radar, Ad Hoc Networks, Volume 116, 2021, 102475, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2021.102475.
[15] S. Yasukawa and M. Kim, "Intruder Detection Using Radio Wave Propagation Characteristics," 2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), JeJu, Korea (South), 2018, pp. 206-212, doi: 10.1109/ICCE-ASIA.2018.8552128.
[16] Almonfrey D, do Carmo AP, de Queiroz FM, Picoreti R, Vassallo RF, Salles EOT. A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network. International Journal of Distributed Sensor Networks. 2018;14(3). doi:10.1177/1550147718763550.
[17] Sri Yulianto J.P., Indrastanti R.W., Martha Oktriani. Decision Support Applications Using Fuzzy Logic (Case Study: Determination of Computer Specifications for a Complete Computer Package). Journal of Informatics, Vol.4, No. 2, December 2008: 159 – 173
[18] Harahap, Siti Dewi Dayanti. 2019. "Automatic Door Design Using Fuzzy Logic Control Method." Jurnal Pelita Informatika, Vol.7, No.4, 579-582.
[19] N. K. Sabat, U. C. Pati, B. R. Senapati and S. K. Das, "An IoT Concept for Region Based Human Detection Using PIR Sensors and FRED Cloud," 2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP), Chennai, India, 2019, pp. 1-4, doi: 10.1109/ICESIP46348.2019.8938286.
[20] Abdullah, Cholish, Moh. Zainul Haq. Utilization of IoT (Internet of Things) in Monitoring Smoke Density Levels and Camera Tracking Control. Scientific Journal of Electrical Engineering Education, Vol.5, No.1, February 2021 H.86
[21] China factory anti climb electric fence energizer and alarm for home and garden URL: https://www.alibaba.com/product-detail/China-factory-anti-climb-electric fence_60756687786.html?spm=a2700.galleryofferlist.normal_offer.d_title.f0ca44bdklaYQE
[22] Putra, I., Sukadarmika, G., & Sastra, N. (2023). Perankingan Dosen Berbasis Aktifitas Forum Moodle Menggunakan Metode Fuzzy Tsukamoto. Majalah Ilmiah Teknologi Elektro, 22(1), 63-70. doi:10.24843/MITE.2023.v22i01.P08
[23] Sutikno, T., Susanto, D., & Purnama, H. (2023). Sistem Monitoring Debit Air Berbasis Internet of Things pada Saluran Air. Majalah Ilmiah Teknologi Elektro, 22(2), 159-164. doi:10.24843/MITE.2023.v22i02.P01
[24] Rima Tamara Aldisa, Sechan Alfaris. Sistem Pendeteksi Keamanan Ruangan “Smart Security” Dengan Metode Fuzzy Logic Menggunakan Sensor PIR Berbasis Internet of Things (IoT). Volume 4, Nomor 1, September 2022. Hal: 176−183
[25] Gorunescu, F. (2011). Data Mining: Concepts, Models and Techniques. Data mining - Concepts, Models and Technique. https://doi.org/10.1007/978-3-642-19721-5.
Published
2024-08-31
How to Cite
DIPTA, I Made Yogaswara; WIRASTUTI, Ni Made Ary Esta Dewi; ER, Ngurah Indra.
Perancangan Prototype Sistem Pendeteksi Penyusup Perimeter Bandar Udara dengan Metode Fuzzy Logic Berbasis Internet of Things.
Majalah Ilmiah Teknologi Elektro, [S.l.], v. 23, n. 1, p. 27-36, aug. 2024.
ISSN 2503-2372.
Available at: <https://ojs.unud.ac.id/index.php/jte/article/view/110624>. Date accessed: 05 sep. 2024.
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License
