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Design and Performance Evaluation of an IoT-Based Teleoperated Shuttlecock Launcher for Dynamic Badminton Training Muchamad Malik; Agus Mukhtar; Aan Burhanuddin; Rifki Hermana; Ibnu Toto Husodo; Dwi Yan Damar Arya Prananta; Subkhan Ma'mun
JURUTERA - Jurnal Umum Teknik Terapan Vol 13 No 01 (2026)
Publisher : Fakultas Teknik Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/jurutera.v13i01.14699

Abstract

Advanced badminton training requires dynamic attack simulations that are difficult to fulfill by human coaches or conventional static machines. This study aims to design, implement, and evaluate the performance of an interactive shuttlecock launcher prototype based on the Internet of Things using wireless remote control. The research method uses a quantitative experimental approach through research and development focused on mechanical actuation precision and network transmission reliability. Evaluations were conducted by measuring projectile launch speed and landing accuracy across six random court zones. The results showed a highly proportional mechanical precision with a maximum launch speed reaching three hundred and eight point five kilometers per hour. Spatial accuracy testing resulted in a mean absolute error of zero point twenty-two meters, which is technically advantageous as it simulates the uncertainty of human strokes due to aerodynamic drag. Network performance demonstrated an end-to-end latency of forty-five milliseconds and a data packet loss of zero point four percent, well below the human visual perception threshold of two hundred milliseconds. In conclusion, this system is proven to be highly responsive and capable of transforming a static launcher into a robotic extension for coaches, allowing instant manipulation of speed and direction to train athletes' anticipatory agility in real match conditions.
Desain Logika Fuzzy untuk Penilaian Kualitas Air Sumur Berdasarkan Parameter Salinitas, pH, dan Kekeruhan Aan Burhanuddin; Agus Mukhtar; Rifki Hermana; Muhammad Amirudin; Muchamad Malik; Althesa Androva; Hisyam Ma’mun; Mohammad Fadillah; Ezze Zhain Zhiqqi Prihantono; Subkhan Ma'mum
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 4 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v4i3.333

Abstract

This study develops an integrated fuzzy-logic-based assessment system to evaluate well water quality using pH, salinity (via TDS conversion), and turbidity. The research aims to develop an adaptive system capable of handling uncertainties in water quality parameters in real-time monitoring across Semarang's coastal areas. The methodology incorporates sensor performance validation, fuzzy input processing, rule-based inference, and defuzzification implemented through MATLAB R2021a. Experimental results demonstrate exceptional metrological performance, with sensor linearity achieving determination coefficients (R²) of 0.9995 for pH, 0.9998 for salinity, 0.9996 for temperature, and 0.9993 for turbidity. Statistical validation confirmed measurement precision, with root-mean-square errors (RMSEs) of 0.018 pH units, 0.023 ppt salinity, 0.14°C temperature, and 0.027 NTU turbidity. Field implementation across 6 sub-districts revealed that 83.3% of samples complied with pH quality standards, 60% met turbidity thresholds, while 33.3% of samples in Genuksari exhibited seawater intrusion indicators with salinity levels exceeding 0.5 ppt. The study conclusively demonstrates that the developed fuzzy logic system provides accurate, consistent water quality evaluation and presents a viable framework for smart water monitoring infrastructure in coastal urban environments, particularly for detecting saline intrusion and maintaining water security.