Development of IoT-based pulse rate detection bracelet for volleyball endurance training

Introduction: The use of equipment in volleyball training, especially IoT-enabled heart rate monitoring bracelets for endurance workouts, is still limited and not fully developed, despite the significant impact this technology has on improving training outcomes. Objective: This research aims to develop an IoT-based pulse rate detection bracelet designed specifically for endurance training in volleyball. Methodology: The research utilized a R&D approach, implementing small-scale experiments at various universities, such as Universitas Nusantara PGRI Kediri. The participants included experts in materials and media, as well as volleyball coaches and players. A combined method strategy was employed, collecting information via interviews and surveys. The qualitative analysis was carried out according to the five phases of the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. Quantitative analysis was conducted through expert assessments, represented as percentages, while the validity and reliability of the tools were evaluated using SPSS software. Results: The research results show the following: (1) An IoT-enabled pulse monitoring bracelet for volleyball endurance training was developed utilizing the ADDIE model, incorporating elements like an Arduino microcontroller, a BPM sensor, a battery, and an LED indicator. The bracelet features a blue body paired with a black elastic band. The viability of the bracelet was assessed by material specialists (82%), media specialists (80%), and trainers (79.78%). (3) The bracelet exhibited robust validity, attaining a coefficient of 0.954, and exceptional reliability, achieving a score of 0.945. Conclusions: the IoT-based pulse rate detection bracelet for volleyball endurance training is proven to be suitable for use.