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RANCANG BANGUN ALAT PENDETEKSI KEASLIAN DAN NOMINAL UANG MENGGUNAKAN SENSOR UV GYML8511 DAN TCS3200 Santosa, Slamet Purwo; Reynaldi, Muhammad; aditya, lukman
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5967

Abstract

Penelitian ini merancang perangkat otomatis untuk mendeteksi keaslian dan denominasi uang menggunakan sensor UV GYML8511, sensor TCS3200, dan DF Player untuk umpan balik audio. Uji coba dilakukan pada uang asli pecahan 50.000 dan 100.000 serta uang palsu yang dicetak pada kertas 75 gram, 80 gram, dan kertas lilin. Deteksi keaslian berdasarkan tegangan keluaran sensor UV menunjukkan uang asli menghasilkan 1,01–1,02 V, sementara uang palsu pada kertas lilin menghasilkan 1,04–1,05 V. Perangkat ini mampu mendeteksi denominasi dengan akurasi 90% untuk 50.000 dan 100% untuk 100.000
Real Time Heart Rate And Oxygen Value Monitoring Using Arduino Uno Based MAX30102 Sensor Module Santosa, Slamet Purwo; Pratama, Bintang Teguh
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7422

Abstract

The development of medical technology has produced efficient and easy-to-use medical devices, such as real-time heart rate and oxygen level monitors using Arduino with MAX 30102 sensors. This tool functions to monitor heart rate and oxygen levels in real time with a high level of accuracy, so it is useful for people with heart rhythm disorders and respiratory disorders such as hypoxemia. The data obtained is processed by the Arduino microcontroller and displayed on the LCD screen, the LED indicator lights up if the results are outside the normal limits. Based on testing, this tool has a low error value of 0.05% for BPM and 0.02 for SpO2 and an accuracy value of 99.95% for BPM and 99.98% in one person tested, while in 6 different people the error value is 0.63% for BPM and 0.09% for SpO2 and an accuracy value of 99.37% for BPM and 99.91% for SpO2 compared to medical standards for different objects. The sensors used are Arduino Uno and MAX30102, which results in more accurate measurements compared to existing device designs. It is hoped that this tool can be a practical solution for routine health monitoring, especially for individuals who need regular monitoring.
Smart Egg Incubator Monitoring System Based on IoT and Blynk Connectivity Santosa, Slamet Purwo; Jaylana, Jaky; Naibaho, Nurhabibah
Jurnal Teknik Elektro Indonesia Vol 6 No 2 (2025): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v6i2.785

Abstract

In the era of Industry 4.0, the integration of Internet of Things (IoT) technologies in agriculture has significantly enhanced automation and remote monitoring capabilities. This research presents the development of a smart egg incubator monitoring system based on the ESP32 microcontroller, integrated with various sensors and connected through the Blynk IoT platform. The system incorporates a DHT22 sensor for real-time temperature and humidity monitoring, a MAX9814 microphone amplifier for detecting chick hatching sounds, and an ESP32-CAM module for live video streaming inside the incubator. All collected data and alerts are transmitted to the user via the Blynk application, enabling remote supervision and timely interventions. The incubator is designed to maintain optimal environmental conditions, with automatic control of heating and cooling systems based on sensor feedback. Experimental results show that the system successfully maintained a stable incubation environment with an average temperature of 37.3°C and humidity around 55%, and accurately detected hatching events through sound analysis. The implementation of live video streaming further enhances the monitoring capabilities by allowing visual confirmation of embryo development. The proposed system demonstrates a reliable, scalable, and user-friendly solution for modern poultry farming, especially in resource-limited or remote environments
RANCANG BANGUN ALAT PENDETEKSI KEASLIAN DAN NOMINAL UANG MENGGUNAKAN SENSOR UV GYML8511 DAN TCS3200 Santosa, Slamet Purwo; Reynaldi, Muhammad; aditya, lukman
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5967

Abstract

Penelitian ini merancang perangkat otomatis untuk mendeteksi keaslian dan denominasi uang menggunakan sensor UV GYML8511, sensor TCS3200, dan DF Player untuk umpan balik audio. Uji coba dilakukan pada uang asli pecahan 50.000 dan 100.000 serta uang palsu yang dicetak pada kertas 75 gram, 80 gram, dan kertas lilin. Deteksi keaslian berdasarkan tegangan keluaran sensor UV menunjukkan uang asli menghasilkan 1,01–1,02 V, sementara uang palsu pada kertas lilin menghasilkan 1,04–1,05 V. Perangkat ini mampu mendeteksi denominasi dengan akurasi 90% untuk 50.000 dan 100% untuk 100.000