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Rancang Bangun Alat Ukur Kecepatan Tendangan pada Latihan Olahraga Pencak Silat menggunakan Sensor Sharp berbasis Mikrokontroler Arduino Uno Yanda, Randi Tri; Jaya, Putra
TSAQOFAH Vol 5 No 4 (2025): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i4.6333

Abstract

The advancement of technology offers significant opportunities for developing effective training aids, including in the field of pencak silat. One crucial aspect of pencak silat is kick speed, which directly influences the effectiveness of an athlete’s offensive and defensive actions. This study aims to design and develop an automatic kick speed measurement device utilizing two Sharp distance sensors integrated with an Arduino UNO microcontroller and a Real Time Clock (RTC) module. The sensors are positioned in parallel at a distance of 30 cm, with the system initiating time measurement when the foot passes the first sensor and stopping when it passes the second. The recorded time and distance are used to calculate kick speed, which is displayed in real-time on an LCD screen. The device design follows the waterfall method, encompassing stages of analysis, design, implementation, and testing. Test results demonstrate that all input, control, and output subsystems function optimally and are capable of delivering accurate and automated measurements. The validity of the device was assessed using Aiken’s V method and confirmed to be suitable for use in pencak silat training. The study concludes that the developed kick speed measurement tool presents an innovative solution to support the objective, efficient, and technology-based evaluation of athlete performance.
Rancangan Bangun Sistem Otomatisasi Hidroponik Nutrient Film Technique (NFT) Bayam Hijau berbasis Internet of Things (IoT) Putra, Novri Erdani; Jaya, Putra
TSAQOFAH Vol 5 No 4 (2025): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i4.6376

Abstract

This study aims to design and develop an Internet of Things (IoT)-based automation system for Nutrient Film Technique (NFT) hydroponics to cultivate green spinach, offering an innovative solution for efficient, adaptive, and sustainable modern agriculture in the context of urban farming. The research employs a descriptive approach using the Waterfall development model, encompassing stages of analysis, design, implementation, and testing. The system is built using a NodeMCU ESP8266 microcontroller integrated with temperature and humidity sensor (DHT11), pH sensor, TDS sensor, and a water level sensor to monitor the environmental conditions for plant growth. The system automatically activates the water pump when the water level drops below the minimum threshold of 15 mm and also provides manual control via a web dashboard. Testing results demonstrate that all input, processing, and output subsystems function optimally and are well-integrated. Sensor data are displayed in real-time on an LCD and can be remotely accessed through IoT connectivity. The study concludes that the automated NFT system is effective in maintaining optimal growing conditions and has the potential to improve the efficiency and productivity of green spinach cultivation at the household scale. The implication is that this system can serve as a viable smart agriculture technology for urban environments.
Rancang Bangun Alat Pendeteksi Kematangan Buah Durian Badri, Nurul; Jaya, Putra
TSAQOFAH Vol 5 No 4 (2025): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i4.6535

Abstract

This study aims to design and develop a durian ripeness detection device based on an electronic nose system using an engineering design approach. The system employs the MQ-135 gas sensor as the primary detector to identify alcohol levels emitted by durian fruit, along with an ultrasonic sensor that automatically activates the system. An Arduino microcontroller functions as the control center, programmed in C language. When durian is detected by the ultrasonic sensor, the MQ-135 sensor measures the alcohol concentration; if it exceeds the 3% threshold, the system activates a green LED and buzzer to indicate ripeness, whereas levels below the threshold suggest the fruit is unripe. Experimental testing was conducted on durians at various ripeness levels, with data analyzed descriptively. Results indicate that the device can distinguish between ripe and unripe durians with an accuracy rate of 86.7%. The device is non-destructive, portable, and efficient, making it highly suitable for use by farmers, collectors, and traders in durian sorting and distribution processes. The study concludes that an Arduino-based electronic nose system offers a practical innovation for enabling the public to assess durian ripeness more accurately and conveniently.
Rancang Bangun Sistem Pendeteksi serta Pengusir Tikus Menggunakan Stimulus Auditori dan Visual pada Lahan Pesawahan Berbasis Mikrokontroler Putra, Riski Mai; Almasri, Almasri; Jaya, Putra; Fikri, Ryan
TSAQOFAH Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v6i3.9625

Abstract

Rats are one of the main causes of reduced rice production in Indonesia because they attack crops at various growth stages, whereas the control methods commonly used by farmers, such as chemical poisons and mechanical traps, are considered less effective in the long term and have the potential to cause negative environmental impacts. This study aims to design and develop a rat detection and repellent system using a combination of auditory stimuli in the form of ultrasonic waves and visual stimuli in the form of strobe lights based on a microcontroller. This system uses Arduino UNO as the main controller integrated with Passive Infrared (PIR) sensors and ultrasonic sensors to detect the presence of rats. The research method included the stages of needs analysis, system design, hardware and software implementation, and system testing in a rice field environment. The test results showed that the system was able to operate automatically and effectively repel rats through a combination of sound and light stimuli without using hazardous chemicals. These findings affirm that the designed system has the potential to become an alternative solution that is environmentally friendly, energy-efficient, and easy to operate in supporting rat pest control in rice fields.