Effectiveness of Various Light Sensors for Indoor Use

Diki Guntara, Sunardi Sunardi

Abstract


A light sensor is a type of electronic device that can produce changes in visible light energy or infrared light into electrical energy by utilizing the electrical current and resistance that enters the light sensor. This research objective is to design the light sensor circuit and program that can have a light sensor sensitivity to the light intensity in the room and test the success of indoor light sensors from the cheapest to the most expensive sensors. The sensors used are LDR, BH1750, and Photodiode. The research stage carried out was to prepare the equipment in a boarding room with dimensions of 3x3. The light intensity of windows and lamps for 10 days with three different sessions in the morning, afternoon, and evening are measured. Linear regression calibration is used to obtain more accurate results. The results of the light sensor used are compared with a digital lux meter. The cheapest sensor, namely the LDR, has the slowest response to light and is less accurate with an error value of 23.74%. An affordable sensor, namely a Photodiode sensor, has a fast response to light, but the results are less stable with an error value of 18.20%. The more expensive sensor is the BH1750 with the highest accuracy and stability with an error value of 7.53%.

Keywords


LDR; BH1750; Photodiode; Arduino

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References


M. R. Ichsan, Nasri, and Hanafi, “Perancangan Prototype Alat Penjemur Pakaian Otomatis Dengan Smartphone Android Berbasis IoT (Internet of Things),” J. Tektro, vol. 06, no. 01, pp. 1–8, 2022.

A. budiarta, Haryono, “Pemodelan Sistem Pelacakan Posisi Sinar Matahari Berbasis Internet of Things (IoT) Berdasarkan Data Meteorologi,” Tek. Elektor, vol. 11, no. 2, pp. 227–235, 2022.

P. Daud, N. Nasrullah, and G. Ambar Dini, “Perancangan dan Pembuatan Smart Lighting pada Ruang Kelas berbasis Wireless Sensor Network,” TIARSIE, vol. 17, no. 1, pp. 1–6, 2020, doi: 10.32816/tiarsie.v17i1.71.

R. Syahrindra, F. A. Soelistianto, and P. E. Mas’udia, “Telemonitoring dan Pengendalian Suhu Kadar Kelembapan serta Intensitas Cahaya Matahari di dalam Ruangan Semi Indoor Menggunakan Sistem Wireless Sensor,” J. Jartel J. Jar. Telekomun., vol. 10, no. 4, pp. 168–172, 2020, doi: 10.33795/jartel.v10i4.11.

A. S. Ratri, V. C. Poekoel, and A. M. Rumangit, “Perancangan Sistem Monitoring Kondisi Cuaca Berbasis Internet of Things,” J. Tek. Inform., vol. 17, no. 4, pp. 1–10, 2022, [Online]. Available: https://ejournal.unsrat.ac.id/index.php/informatika

R. A. Nanda, K. Karyadi, and F. M. Dewadi, “Pengukuran Intensitas Cahaya Menggunakan Sensor BH-1750 Berbasis Mikrokontroler: Studi Kawasan Kampus UBP Karawang,” Prax. J. Sains, Teknol. Masy. dan Jejaring, vol. 5, no. 1, pp. 74–81, 2022, doi: 10.24167/praxis.v5i1.5726.

A. Khuriati, “Sistem Pemantau Intensitas Cahaya Ambien dengan Sensor BH1750 Berbasis Mikrokontroler Arduino Nano,” Berk. Fis., vol. 25, no. 13, pp. 105–110, 2022.

O. Khotimah, D. Darmawan, and E. Rosdiana, “Perangkat Dan Metoda Kalibrasi Sensor Universal,” e-Proceeding Eng., vol. 9, no. 3, pp. 1–9, 2022.

M. Pandu, A. Gumilang, E. Djunaedy, R. F. Iskandar, and S. Pd, “Studi Pengaruh Filter Kalman Pada Pengukuran Intensitas Cahaya Dalam Sistem Smart Home Study of the Effect Using Kalman Filters on the Measurement of Light Intensity in a Smart Home System,” -Proceeding Eng., vol. 5, no. 3, pp. 5949–5963, 2018.

V. A. Suoth, H. I. . Mosey, and R. C. Telleng, “Rancang bangun alat pendeteksi intensitas cahaya berbasis Sensor Light Dependent Resistance (LDR),” J. MIPA, vol. 7, no. 1, p. 47, 2018, doi: 10.35799/jm.7.1.2018.19609.

I. Wardhana, V. A. Isnaini, R. P. Wirman, N. Novitasari, and O. I. Gunawan, “Rancang Bangun Lux Meter Real Time Berbasis Internet of Things,” J. Fis. Flux J. Ilm. Fis. FMIPA Univ. Lambung Mangkurat, vol. 19, no. 1, pp. 1–7, 2022, doi: 10.20527/flux.v19i1.9428.

S. Manik, A. M. Muslimin, and A. A. Subgan, “Perancangan Alat Ukur Intensitas Cahaya Berbasis Arduino Leonardo Menggunakan Sensor LDR (Light Dependent Resistor),” J. Nat., vol. 16, no. 1, pp. 1–13, 2020, doi: 10.30862/jn.v16i1.46.

Imam Marzuki, “Perancangan dan Pembuatan Sistem Penyalaan Lampu Otomatis Dalam Ruangan Berbasis Arduino Menggunakan Sensor Gerak dan Sensor Cahaya,” J. Intake J. Penelit. Ilmu Tek. dan Terap., vol. 10, no. 1, pp. 9–16, 2019, doi: 10.48056/jintake.v10i1.48.

D. A. Wulandari, D. Yulkifli, J. Fisika, F. Matematika, D. Ilmu, and P. Alam, “Studi Awal Rancang Bangun Colorimeter Sebagai Pendeteksi Pada Pewarna Makanan Menggunakan Sensor Photodioda,” Pillar Phys., vol. 11, no. 2, pp. 81–87, 2018.

M. A. Annas, A. Widodo, M. C. Aisiyah, I. E. Ningrum, and D. Makrufah, “Karakterisasi Sensor Cahaya Light Dependent Resistor (LDR),” Masaliq, vol. 2, no. 4, pp. 612–622, 2022, doi: 10.58578/masaliq.v2i4.516.

S. A. N. Fitri Anindyahadi, Eko Nugroho, “Rancang Bangun Alat Lux Meter BH1750 Dengan Sensor Jarak HC-SR04 Untuk Uji Kesesuaian Kolimator Peraturan Badan Pengawas Tenaga Nuklir Republik Indonesia Nomor 2 Tahun 2018 Tentang Uji Kesesuaian Pesawat Sinar-X Radiologi diagnostic dan Intervensional Kes,” Kendali Tek. dan Sains, vol. 1, no. 1, pp. 01–10, 2023.

A. Sahara, “Studi Kesalahan pada Sensor LDR sebagai Alat Ukur,” pp. 8–15, 2024.

A. P. Pambudi, E. Roza, and K. Fayakun, “Penentuan Kerapatan Cahaya Pada Sistem VLC (Visible Light Communication),” Pros. Semin. Nas. Teknoka, vol. 5, no. 2502, pp. 192–203, 2020, doi: 10.22236/teknoka.v5i.386.

I. Yulian, D. S. Anggraeni, and Q. Aini, “Penerapan Metode Trend Moment Dalam Forecasting Penjualan Produk CV. Rabbani Asyisa,” J. Teknol. dan Sist. Inf., vol. 6, no. 2, pp. 193–200, 2020.

Wahyudi, Jumrianto , and A. Syakur, “Kalibrasi Sensor Tegangan dan Sensor Arus dengan Menerapkan Rumus Regresi Linear menggunakan Software Bascom AVR Info Articles,” J. Syst. Inf. Technol. Electron. Eng., vol. 1, no. 1, pp. 1–14, 2020, [Online]. Available: http://e-journal.ivet.ac.id/index.php/jsitee

T. Suryana, “Measuring Light Intensity Using theBH1750 Sensor,” Meas. Light Intensity Using BH1750 Sens., pp. 1–16, 2021, [Online]. Available: http://iot.ciwaruga.com




DOI: https://doi.org/10.31763/simple.v7i1.106

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Signal and Image Processing Letters
ISSN Online: 2714-6677 | Print: 2714-6669
Published by Association for Scientific Computing Electrical and Engineering (ASCEE)
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