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Journal : Jurnal E-Komtek

Prototype of an Arduino-Based 3D Scanner Printed Using 3D Printing Ikhwan Taufik; Elvanes Betel Bangun; Raka Mahendra Sulistiyo; El Vionna Laellyn Nurul Fatich
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 1 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i1.1829

Abstract

Three-dimensional (3D) scanning technology is pivotal in manufacturing, product design, and architecture, enabling precise digital reconstructions of real-world objects. However, existing 3D scanners are often costly and complex, hindering accessibility. To address this, our study presents a cost-effective 3D scanning system using Arduino technology. Utilizing an Arduino Nano, GP2Y0A21YK0F IR Sensor, stepper motors, motor drivers, and an SD card module, our system offers a simple solution for scanning small objects and creating 3D models. The scanner measures object distance, rotates a work table, and captures scan data, processed with MeshLab software. Successful scanning demonstrates affordability and automation. Future work will focus on optimizing accuracy and scanning speed.
Design and Construction of a NodeMCU-Based Heart Rate and Blood Oxygen Level Monitoring Device with Blynk Application Output Miftahurrohman; Asni Tafrikhatin; sumarah, Jati; El Vionna Laellyn Nurul Fatich
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2927

Abstract

Health is a crucial aspect of human life that must be maintained and monitored regularly, especially during recovery periods or self-isolation. Real-time and remote body monitoring has become an essential need in today’s digital era. This study aims to design and develop a heart rate and blood oxygen saturation monitoring device based on the Internet of Things (IoT) using the NodeMCU ESP8266 microcontroller integrated with the MAX30100 sensor and the Blynk application. The research method involves the design of an electronic system based on microcontrollers, software programming, and direct functional testing. The test results show that the device is capable of accurately detecting heart rate (BPM) and oxygen saturation (SpO2), displaying the data on a 16x2 LCD, and transmitting it to the Blynk application in real-time via a WiFi connection. Therefore, the developed device has proven to function effectively as a practical and portable remote health monitoring system.