Analisis Pengaruh Jarak dan Kondisi Pencahayaan terhadap Alat Deteksi Warna dengan Sensor TCS3200 Berbasis Arduino
DOI:
https://doi.org/10.55606/jurritek.v4i2.5556Keywords:
TCS3200 Sensor, Arduino, Color Detection, Sensor Distance, Ambient LightingAbstract
The TCS3200 color sensor demonstrates limited accuracy under certain environmental conditions, particularly in relation to the distance between the sensor and the object, as well as the surrounding lighting. This study aims to investigate the effects of distance variation (0 cm, 2 cm, 4 cm, and 6 cm) and lighting conditions (bright and dark) on color detection using the TCS3200 sensor integrated with an Arduino microcontroller. An experimental method was employed, with color data converted into the CIELAB color space and analyzed using Delta E as the deviation indicator. The results indicate that the most accurate color readings occur at a distance of 0 cm, where the sensor receives maximum reflected light. Furthermore, measurements taken under dark conditions exhibit more consistent results compared to those under bright lighting, which tends to introduce optical interference. It can be concluded that the TCS3200 sensor performs best at close range and under controlled lighting conditions to ensure accurate and reliable color detection.
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References
Alfinnur, M. A. (2023). Program Studi Fisika Fakultas Sains Dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang.
Amri, L. H. A., Basuki, U., & Ruliftiawan, G. (2022). Controlling Color Consistency In The Production Process Of Packaging Print. Kreator, 9(1), 61–70. https://doi.org/10.46961/kreator.v9i1.313
Athifa, S. F., & Rachmat, H. H. (2019). Evaluasi Karakteristik Deteksi Warna Rgb Sensor Tcs3200 Berdasarkan Jarak Dan Dimensi Objek. Jetri : Jurnal Ilmiah Teknik Elektro, 105–120. https://doi.org/10.25105/jetri.v16i2.3459
Husni, N. L., Rasyad, S., Putra, M. S., Hasan, Y., & Rasyid, J. A. (2020). Pengaplikasian Sensor Warna Pada Navigasi Line Tracking Robot Sampah Berbasis Mikrokontroler. Jurnal Ampere, 4(2), 297. https://doi.org/10.31851/ampere.v4i2.3450
Istiqamah, N. A. (2024). Klasifikasi Tingkat Kematangan Buah Jeruk Menggunakan Sensor Warna TCS3200 Berbasis RGB. 4(2).
Lamsani, M., Pangestika, R. A., Cahyanti, M., & Swedia, E. R. (2023). Sistem Identifikasi Warna Tanah Munsell Menggunakan Sensor Warna Tcs3200 Dan Kelembaban YL-69. Sebatik, 27(1), 379–389. https://doi.org/10.46984/sebatik.v27i1.2249
Pratama, Y. P., Prastiwinarti, W., Ahmad, L., & Mahmuda, Z. S. (2023). Perancangan Aplikasi Konversi RGB CMYK berbasis Python. Journal of Applied Electrical Engineering, 7(2), 102–105. https://doi.org/10.30871/jaee.v7i2.6360
Prayudha, I. T., Prayitno, H., Bagaskara, F. R., & Agustin, S. (2024). Klasifikasi Jenis Warna Dokumen Berdasarkan Ruang Warna Cymk Menggunakan Metode K-Means Clustering.
Rahmadani Fitri Panjaitan. (2025). Aplikasi Deteksi Warna Berbasis Mikrokontroler: Mewujudkan Solusi Cerdas dalam Identifikasi Visual. Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, 3(1), 123–131. https://doi.org/10.61132/merkurius.v3i1.608
Suhud, K., Sukoma, S., Saleha, S., & Surbakti, M. S. (2024). Development of TCS3200 Color Sensor Based on Arduino Uno and Its Application in Determining Borax Levels in Food. Indonesian Journal of Fundamental and Applied Chemistry, 9(2), 74–81. https://doi.org/10.24845/ijfac.v9.i2.74
Ta’ali, T., Khairat, W., Habibullah, H., & Sardi, J. (2023). Pengaruh Jarak Terhadap Sensitivitas Sensor Warna TCS3200. JTEIN: Jurnal Teknik Elektro Indonesia, 4(1), 67–74. https://doi.org/10.24036/jtein.v4i1.340
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