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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Teknik Elektro dan Komputer TRIAC Jambura Journal of Electrical and Electronics Engineering
Muttaqin Hardiwansyah
Universitas Trunojoyo Madura
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Analisa Kinerja Metode Deteksi pada Sistem Komunikasi MIMO Dian Neipa Purnamasari; Deni Tri Laksono; Adi Kurniawan Saputro; Muttaqin Hardiwansyah
Jurnal Teknik Elektro dan Komputer TRIAC Vol 9, No 1 (2022): Mei 2022
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v9i1.14628

Abstract

Teknologi MIMO (Multiple-Input-Multiple-Output) muncul untuk menyelesaikan permasalahan dalam sistem komunikasi dengan lintasan yang berbeda. Teknologi ini memiliki beberapa pemancar dan penerima. Salah satu tantangan pada teknologi ini adalah pengiriman sinyal informasi menggunakan kanal yang berbeda. Untuk mengatasi hal tersebut terdapat teknik deteksi sinyal yang dapat mendeteksi sinyal sesuai yang diinginkan sistem. Pada penelitian ini dilakukan analisa metode deteksi sinyal yang diterapkan pada sistem komunikasi MIMO. Metode deteksi yang diuji adalah Zero Forcing (ZF), Minimum Mean Square Error (MMSE), Maximum Likelihood Detection (MLD) dan V-BLAST. Parameter yang diamati pada penelitian ini adalah perbandingan Bit Error Rate (BER) terhadap Signal to Noise Ratio (SNR). Hasil pengujian diperoleh bahwa metode deteksi yang memiliki performansi lebih baik adalah MLD, Hal ini dikarenakan sistem MIMO-MLD hanya membutuhkan SNR sebesar 12 dB untuk mencapai BER 10-3. Sedangkan metode deteksi yang memiliki performansi paling lemah adalah ZF, hal ini dikarenakan ZF membutuhkan SNR sebesar 24 dB untuk mencapai BER 10-3.
Smart Home System Using Internet Of Things (Iot) Based On Arduino Mega And Esp32 Muttaqin Hardiwansyah; Monika Faswia Fahmi; Puteri Nurul Ma’rifah; Achmad Zain Nur; Safriudin Rifandi; Muhhammad Iyan Putra Pratama
Jurnal Teknik Elektro dan Komputer TRIAC Vol 13, No 1 (2026): Mei 2026
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v13i1.34079

Abstract

Smart Home systems based on the Internet of Things (IoT) offer modern solutions to enhance efficiency, comfort, and security in managing household appliances. This research aims to develop a smart home system using Arduino Mega as the main controller and the ESP32 module as a Wi-Fi network connector. The system is designed to control devices such as lights, fans, automatic doors, and a plant watering system through an Apache-based web server connected to a MySQL database. The methods used include the design of a smart home miniature hardware prototype, the development of a web interface for manual and automatic control, as well as the integration of a voice command feature based on Google Text-to-Speech. Testing was conducted by measuring Quality of Service (QoS) parameters such as delay, throughput, packet loss, and jitter, along with functional testing of devices through manual, automatic, and voice command operations. The results show that the system can operate properly with an accuracy rate of 100%, an average delay of 4–5 seconds for device control, and an average QoS index of 1.5. Some minor delays were observed, mainly due to the use of a web server and internet connection. With affordable development costs, this system provides a practical solution for small-scale IoT-based smart home implementation.
Fuzzy Logic Based LoRa and IoT Smart Buoy for Sea Wave Monitoring in Madura ADI KURNIAWAN SAPUTRO; RIZA ALFITA; MOHAMAD AHSAN ZUHUDI; MUTTAQIN HARDIWANSYAH; DENI TRI LAKSONO; DIAN NEIPA PURNAMASARI
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.
Evaluation of Latency, Range, and Path Redundancy in Multihop Communication Using the NRF24L01 Module Dian Neipa Purnamasari; Adi Kurniawan Saputro; Moch. Roziqul Barqi; Puteri Nurul Ma’rifah; Achmad Ubaidillah Ms; Muttaqin Hardiwansyah
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 Ubaidillah Achmad Zain Nur Adi Kurniawan Saputro Deni Tri Laksono Dian Neipa Purnamasari Moch. Roziqul Barqi MOHAMAD AHSAN ZUHUDI Monika Faswia Fahmi Muhhammad Iyan Putra Pratama Puteri Nurul Ma’rifah Puteri Nurul Ma’rifah Riza Alfita Safriudin Rifandi