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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 Applied Technology and Computing Science Journal Jambura Journal of Electrical and Electronics Engineering JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) SinarFe7 Signal and Image Processing Letters Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Hardiwansyah, Muttaqin
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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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.
Design and Development of an IoT (Internet Of Things)-Based Temperature and Humidity Control System for Hamster Cages Affandi, Eko Kholid; Rahmawati, Diana; Ulum, Miftachul; Joni, Koko; Purnamasari, Dian Neipa; Hardiwansyah, Muttaqin
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 2 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i2.p113-119

Abstract

Hamsters are generally healthy creatures and can live about two years or more. They need a comfortable cage with a temperature of 17oC to 23oC and for humidity is 40 RH% to 70 RH% which sometimes these things are neglected by hamster owners. If the temperature and humidity are not appropriate it can cause disease in hamsters even to the death of hamsters. So a tool is needed to stabilize temperature and humidity. In this system using themethod (Hybrid Proportional Integral Derivative - Artifical Neural Network (PID-ANN) where the method is a combination of PID and ANN methods as a determinant of PID parameters, namely Proportional Constants, Integral Constants and Derivative Constants automatically with the help of ANN tuning. as temperature and humidity stabilizers. The inputs in this method are temperature and humidity obtained from the DHT22 sensor. While the output in this study is in the form of analog values for dimmer control controlling lux on incandescent lamps and humidifiers. This system is also based on the internet of things so that it can be monitored and controlled in real time. So that it can be used anywhere and anytime
Design and Construction of an Automatic Body Weighing Scale for Classification of Pencak Silat Athlete Classes Using the Decision Tree Method Saputro, adi; faswiaf, monika; romanjavaters; rahmawati, diana; ibadillah, fiqhi; hardiwansyah, muttaqin
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 10 No. 1 (2026): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v10i1.1707

Abstract

General Background: Automated athlete measurement systems are increasingly required in combat sports to support accurate classification, efficient data management, and competition validation processes. Specific Background: Conventional weighing procedures in pencak silat competitions still rely on manual measurements and independent weighing devices without integrated classification or web-based recording systems, creating risks of athlete misclassification and administrative difficulties. Knowledge Gap: Previous studies primarily focused on nutritional assessment systems using rule-based or z-score methods, while limited research has integrated automatic athlete classification, Body Mass Index (BMI) analysis, website integration, and decision tree algorithms in pencak silat competitions. Aims: This study aims to design and develop an automatic body weighing system for pencak silat athlete class classification using the decision tree method and integrated website monitoring. Results: The system utilized load cell sensors for body weight measurement and Time of Flight (ToF) sensors for height detection, while the ESP32 microcontroller processed classification and BMI calculations. Experimental results demonstrated an average error rate of 0.81% and success rate of 99.19% for body weight measurements, while height measurements achieved an average error rate of 1.52% and success rate of 98.48%. The decision tree classification results were consistent with manual calculations across athlete categories from pre-teen to adult levels. Novelty: The study integrates automatic athlete classification, BMI evaluation, sensor-based measurements, and website-based monitoring within a single decision tree framework. Implications: The proposed system supports accurate athlete verification, digital sports data management, and automated classification processes for pencak silat competitions.
Co-Authors Achmad Fiqhi Ibadillah Adi Kurniawan Saputro ADI SAPUTRO Affandi, Eko Kholid Barqi, Moch. Roziqul Dian Neipa Purnamasari Diana Rahmawati Faswia Fahmi, Monika faswiaf, monika Haryanto - Haryanto Haryanto Hasanah, Faidatul Hidayatulloh, Mohammad Ibadillah, Achmad Fiqi ibadillah, fiqhi Ibaidilah, Achmad Fiqhi Karina Wulandari Khabibiy, Odiy Syahnurrokhim Koko Joni Kuriawan S, Adi Kurniawan Saputro, Adi Laksono, Deni Tri Ma’rifah, Puteri Nurul Miftachul Ulum, Miftachul MS, Achmad Ubaidillah Muhammad , Dian Purnomo Ramadhan, Muhammad Fajar Riza Alfita romanjavaters Sholeh Abdullah, Wahyu Sukri, Hanifudin Tri Laksono, Deni Ubaidillah, Achmad ZUHUDI, MOHAMAD AHSAN