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ANALISIS EFISIENSI ENERGI PADA SISTEM OTOMATISASI LAMPU TAMAN BERBASIS SENSOR BH1750 DAN ARDUINO UNO Susanta, Muhamad Hilmansyah; sururi
Jurnal Informatika dan Rekayasa Elektronik Vol. 9 No. 1 (2026): JIRE April 2026
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v9i1.2002

Abstract

Peningkatan konsumsi energi listrik mendorong perlunya penerapan sistem yang lebih efisien, khususnya pada pencahayaan luar ruangan yang umumnya masih dikendalikan secara manual. Penelitian ini bertujuan mengembangkan sistem otomatisasi lampu taman berbasis Arduino Uno R3 dengan memanfaatkan sensor BH1750 Light Intensity Sensor Module sebagai pengukur intensitas cahaya dalam satuan lux. Keunggulan penelitian ini terletak pada penggunaan sensor digital yang mampu memberikan keluaran iluminansi secara langsung, sehingga meningkatkan keakuratan dan konsistensi data dibandingkan sensor analog seperti LDR. Sistem bekerja menggunakan metode ambang batas sebesar 30 lux, di mana lampu akan aktif ketika intensitas cahaya berada di bawah nilai tersebut dan nonaktif ketika berada di atasnya. Hasil pengujian memperlihatkan bahwa sistem mampu merespons perubahan kondisi pencahayaan secara konsisten pada dua skenario waktu (pagi dan sore), dengan rentang pengukuran antara 2 hingga 865 lux. Selain itu, sistem menunjukkan kinerja yang stabil dengan respons pengendalian relay yang cepat. Dibandingkan dengan penelitian sebelumnya, pendekatan ini memberikan peningkatan pada aspek akurasi dan kestabilan pembacaan. Meskipun demikian, penggunaan ambang batas tetap masih menjadi keterbatasan, sehingga diperlukan pengembangan lebih lanjut menuju sistem kontrol yang lebih adaptif terhadap dinamika lingkungan
Sistem Kontrol Lampu LED menggunakan Sensor Suara KY-037 Berbasis Arduino Uno Darmawan, Erwin; Susanta, Muhamad Hilmansyah
Jurnal Teknologi Komputer dan Informatika Vol 4 No 2 (2026): Jurnal Teknologi Komputer dan Informatika (TEKOMIN)
Publisher : LPPM Politeknik Pajajaran ICB Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59820/tekomin.v4i2.519

Abstract

The development of electronic technology and embedded systems has encouraged the creation of various automation systems aimed at improving efficiency and convenience in daily life. One of the widely used platforms is the Arduino Uno due to its ease of programming and flexibility. This study aims to design and implement an LED lamp control system based on a sound sensor using Arduino Uno. The system utilizes the KY-037 Sound sensor Module as an input to detect sound, which is then processed by the microcontroller to control an LED as the OUTput. The research method includes system analysis, hardware and software design, implementation, and system testing. The sound sensor detects sound intensity and sends signals to the Arduino, which processes them based on a predefined threshold. If the sound intensity exceeds the threshold, the LED turns on and then turns off after a delay. The test results show that the system performs optimally at a distance of 5–20 cm with a response time of 0.2–0.9 seconds. However, performance decreases at longer distances and in noisy environments due to interference.
Sistem Monitoring Tingkat Kebisingan Menggunakan LED RGB Indikator Berbasis Arduino Uno nurdiyansah, andri; Susanta, Muhamad Hilmansyah
Jurnal Teknologi Komputer dan Informatika Vol 4 No 2 (2026): Jurnal Teknologi Komputer dan Informatika (TEKOMIN)
Publisher : LPPM Politeknik Pajajaran ICB Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59820/tekomin.v4i2.521

Abstract

The advancement of microcontroller technology has enabLED the development of simple and efficient environmental monitoring systems. One common issue in urban areas is noise pollution, which can negatively affect human comfort and health. This study aims to design and implement a noise level monitoring system based on Arduino Uno using a KY-038 sound sensor and RGB LED indicators. The system operates by reading analog values from the sensor within a range of 0–1023, which are then classified into three categories: low, medium, and high based on pRedefined threshold values. The classification results are displayed through RGB LEDs using Green, yellow, and Red colors as visual indicators of environmental conditions. The research method includes Hardware design, Software development using Arduino IDE, and system testing under various noise conditions. The testing results show that the system is capable of detecting sound intensity changes in real-time with fast response and good accuracy. Furthermore, the system demonstrates consistent performance in classifying noise levels according to the defined thresholds. Therefore, this system can serve as a practical, low-cost, and easy-to-implement alternative for noise monitoring