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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Multitek Indonesia : Jurnal Ilmiah Jurnal Teknik Elektro dan Komputer TRIAC Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Applied Technology and Computing Science Journal Jambura Journal of Electrical and Electronics Engineering JTEIN: Jurnal Teknik Elektro Indonesia SinarFe7 Signal and Image Processing Letters
Adi Kurniawan Saputro
Jurusan Teknik Elektro FT Unesa
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Fuzzy Logic Based LoRa and IoT Smart Buoy for Sea Wave Monitoring in Madura SAPUTRO, ADI KURNIAWAN; ALFITA, RIZA; ZUHUDI, MOHAMAD AHSAN; HARDIWANSYAH, MUTTAQIN; LAKSONO, DENI TRI; PURNAMASARI, DIAN NEIPA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 1: Published January 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i1.26

Abstract

Indonesia is an archipelagic country with most of its territory consisting of water, increasing the risk of water-related natural disasters. Seawater waves, influenced by tidal movements, are one such phenomenon, and wind speed significantly affects their height. Faster sea winds can generate higher seawater waves. To obtain related data, a system capable of detecting seawater wave height and wind speed is required. This study aims to test a LoRa (Long Range)-based seawater wave detection system that is both efficient and reliable. The system uses a BNO055 sensor to measure wave height and an anemometer to detect wind speed. The relationship between wind speed and seawater wave height is analyzed using the fuzzy Mamdani method. Results show the BNO055 sensor has 92% accuracy, the anemometer 98.4%, and the fuzzy Mamdani method yields an error rate of only 0.25%. This system is expected to enhance marine monitoring and safety efforts.
Liveness Detection-Based Home Door Security System for Anti-Spoofing Using Intel RealSense F455 Camera and LBPH saputro, Adi kurniawan; Ubaidillah, Achmad; Diputra, Hamzah Arifianto; Laksono, Deni Tri; Ibadillah, Achmad Fiqhi; Nur, Achmad Zain
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.34918

Abstract

Spoofing attacks on facial recognition-based security systems are increasing along with the development of smart home technology. To address this issue, this study proposes a home door security system with the implementation of liveness detection-based anti-spoofing technology using an Intel RealSense F455 camera. The system is designed to verify the authenticity of a user's face in real-time by combining facial texture analysis and the user's physiological responses. The facial detection process is carried out using the Haarcascade algorithm to extract a 160×160 pixel facial area, while facial recognition uses the Local Binary Pattern Histogram (LBPH) method which is relatively stable to variations in lighting and viewing angles. The liveness detection mechanism is implemented mechanically by utilizing the Haarcascade Eye to detect the user's eye movements as an indicator of the presence of a live face, so that the system is able to distinguish real faces from fake media in the form of static photos. The system is integrated with a Telegram bot for real-time access monitoring, where automatic notifications are sent every time a door access attempt occurs. Test results show a facial recognition accuracy rate of 98.93%, with the system successfully detecting and verifying 30 registered users and producing an average confidence value consistently above 80%. Furthermore, the liveness detection mechanism proved effective in preventing photo-based spoofing attacks, with a stable detection success rate throughout the testing. These findings suggest that the integration of LBPH and eye-based liveness detection can improve the reliability of facial recognition-based door security systems.
Evaluation of Latency, Range, and Path Redundancy in Multihop Communication Using the NRF24L01 Module Purnamasari, Dian Neipa; Saputro, Adi Kurniawan; Barqi, Moch. Roziqul; Ma’rifah, Puteri Nurul; Ms, Achmad Ubaidillah; Hardiwansyah, Muttaqin
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.33470

Abstract

This research focuses on evaluating the performance of NRF24L01 module-based multihop wireless communication networks, specifically on latency, range, and path redundancy resilience. The network was designed with 8 nodes (1 sender and 7 router/receiver nodes) for data transmission. Response time (latency) is explicitly measured using synchronized timestamps from a Real Time Clock (RTC) DS3231 across all nodes. This performance-oriented study involved three main scenarios: 1) Line of Sight (LoS) to measure maximum range and baseline latency, 2) Non-Line of Sight (NLoS) to test the impact of physical obstacles, and 3) Automatic Routing and Path Redundancy testing to evaluate the failover capability. In the LoS scenario, effective communication reached 310 meters with an average latency of 1,046 ms. Conversely, in the NLoS scenario, communication remained effective up to 33 meters with an average latency of 763 ms. The path redundancy analysis demonstrates that the system successfully performed a failover when an intermediate node was shut down, though it caused a net latency increase of more than 800 ms on the alternative path. These results confirm that NRF24L01 can provide reliable multihop connectivity suitable for long-distance monitoring applications.
Co-Authors Achmad Fiqhi Ibadillah Baihaqi, M. Rifqi Al Barqi, Moch. Roziqul Dian Neipa Purnamasari Diana Rahmawati Diputra, Hamzah Arifianto Fahmi, Monika Faswia Febriana, Iftitah Hardiwansyah, Muttaqin Haryanto - Haryanto Haryanto Hidayatulloh, Mohammad Ibadillah, Achmad Fiqi Ibaidilah, Achmad Fiqhi Iyabu, Sissy Rahmatia Khabibiy, Odiy Syahnurrokhim Laksono, Deni Tri Ma’rifah, Puteri Nurul Miftachul Ulum, Miftachul MS, Achmad Ubaidillah Nur, Achmad Zain Oryza Sativa Ramadhan, Muhammad Fajar Riza Alfita Sukri, Hanifudin Ubaidillah, Achmad ZUHUDI, MOHAMAD AHSAN