Pemantauan pH Produk Skincare berbasis IoT: Solusi untuk Keamanan Konsumen
DOI:
https://doi.org/10.29408/edumatic.v9i1.29644Keywords:
iot, ph, skincare products, ph sensor, spectroscopyAbstract
Skincare products play an important role in skin health, but there is often a discrepancy between the product content and the information on the label, which can harm consumers. This research aims to develop an IoT-based pH monitoring system with a digital pH sensor and UV-Vis spectroscopy to detect changes in pH in real-time, provide more accurate data, and improve efficiency in monitoring the quality of skincare products. The method used is a development approach with a prototype model, which integrates an IoT system with a digital pH sensor and UV-Vis spectroscopy. The system is designed to measure the pH of skincare products based on the principle that each compound absorbs light at a specific wavelength. The tested product samples consist of five types of skincare facial cleansers, toners, serums, moisturizers, and sunscreens that are illuminated with UV-Vis light to measure absorbance values. The pH data obtained was statistically analyzed to calculate the pH deviation compared to the value on the packaging label. Results showed the system was able to detect real-time pH changes with an average deviation below 0.2 for most products, although serums showed larger deviations. The system improves transparency and quality control, helping manufacturers ensure products meet safety standards and giving consumers confidence in choosing safe products.
References
Agustin, E. W., Tumangger, M. H., Nurmaliyah, A., Syafa, N., Lubis, C. M., Izzaty, S. U. N., Chandra, D., Sakti, E. P., Gedung, A., Kampus, E., Pati, K. G., Semarang, K., & Tengah, J. (2025). Studi Literatur Kandungan Zat Berbahaya pada Skincare dan Dampaknya terhadap Kesehatan Kulit. An-Najat: Jurnal Ilmu Farmasi Dan Kesehatan, 3(445), 1–10. https://doi.org/doi.org/10.59841/an-najat.v2i4.2058
Akbar, T., & Gunawan, I. (2020). Prototype Sistem Monitoring Infus Berbasis IoT (Internet of Things). Edumatic: Jurnal Pendidikan Informatika, 4(2), 155–163. https://doi.org/10.29408/edumatic.v4i2.2686
Amelya, A., Deana, P., & Minerva, P. (2024). Formulation and Determination of Tannin and Flavonoid Levels of Anti-Acne Gel Formulation from Red Betel Leaf Extract (Piper crocatum). JFPS: Journal of Food and Pharmaceutical Sciences, 12(1), 61–66. https://doi.org/https://doi.org/10.22146/jfps.12644
Christanto, F. W., Susanto, Pramono, B. A., Ardiyanto, I., & Hidayatulloh, R. R. (2020). Nodemcu dan Kontrol Pengukuran pH Air Berbasis Android untuk Menentukan Tingkat Kejernihan pada Air Tawar. Pengembangan Rekayasa dan Teknologi, 4(1), 1–8. https://doi.org/10.26623/jprt.v16i1.1895
Dhanaraju, M., Chenniappan, P., & Ramalingam, K. (2022). Smart Farming: Internet of Things (IoT) Based Sustainable Agriculture. Agriculture, 12(1745), 1–26. https://doi.org/https://doi.org/10.3390/agriculture12101745
Ganji, P. A., Chavan, G., Patil, K., Bavamakandar, U., & Vitekari, V. (2024). IoT Enabled Cosmetics Suggestions for Skin Conditions Using AI. International Research Journal of Modernization in Engineering Technology and Science, 06(05), 2956–2959.
Hasan, W. L., Sari, R., & Hendrad, E. (2024). Green Synthesis of Antimicrobial Silver Nanoparticles using Green Tea Extract: The Role of Concentration and pH. Jurnal Sains Farmasi & Klinis, 12(1), 25–31. https://doi.org/10.25077/jsfk.11.1.25-31.2024
Hasudungan, J., Putra, A. P., Raharjo, J., & Lestari, A. F. (2023). Penerapan Internet of Thing (IoT) Dalam Pengendalian Suhu, Kelembaban dan PH Air Kolam pada Mini EduFarm. Journal of Information System Research (JOSH), 4(4), 1237−1244. https://doi.org/10.47065/josh.v4i4.3723
Janssens, C., Claudia, B., & Marta, D. (2025). Influence of Cosmetic Skincare Products with pH < 5 on the Skin Microbiome: A Randomized Clinical Evaluation. Dermatology and Therapy, 15(1), 141–159. https://doi.org/10.1007/s13555-024-01321-x
Ladarola, G., Poli, A., & Spinsante, S. (2022). Compressed Sensing of Skin Conductance Level for IoT-based Wearable Sensors. International Instrumentation and Measurement Technology Conference (I2MTC), 1–6, Canada: IEEE. https://doi.org/10.1109/I2MTC48687.2022.9806516
Luki, M., Panteli´, I., & Savi´, S. D. (2021). Towards Optimal pH of the Skin and Topical Formulations: From the Current State of the Art to Tailored Products. Cosmetics, 69(8). https://doi.org/10.3390/cosmetics8030069
Margana, F. K., & Pauzan, M. (2024). Pengembangan Alat Pendeteksi Asap Pada Kamar Hotel Berbasis Internet Of Things (Iot) Di Indramayu. Elektrika, 16(1), 62-68.
Marshalia, V. (2024). Perancangan Pemanfaatan IoT dan Machine Learning Untuk Sistem Monitoring Kesehatan Kulit Wajah Berjerawat. SNIV: Seminar Nasional Inovasi Vokasi, 3(1), 135–145.
Phukpattanachai, K., Praditseree, N., Skjolaas, S., Klaychaiya, S., & Trongtrakul, K. (2024). Accuracy of pH strip testing and pH liquid testing versus standard pH meter of gastric contents in critically ill patients: a diagnostic accuracy study. BMJ Open Journal, 14, 1–7. https://doi.org/10.1136/bmjopen-2023-081830
Pratama, D. G., Maulindar, J., & Indah, R. P. (2023). Perancangan Monitoring & Pengontrol pH Sayuran Sawi Hidroponik Berbasis IoT (Internet of Things). INNOVATIVE: Journal Of Social Science Research, 3(2), 4051–4060.
Rico, F., Mazabel, A., Egurrola, G., Pulido, J., Barrios, N., Marquez, R., & Garc, J. (2024). Meta-Analysis and Analytical Methods in Cosmetics Formulation: A Review. Cosmetics, 11(1), 1–45. https://doi.org/https://doi.org/10.3390/cosmetics11010001
Sari, W. E., Junirianto, E., & Rahman, G. F. (2021). Sistem Pengukuran PH , Kelembapan, dan Suhu Berbasis Internet of Things (IoT). Buletin Ilmiah Sarjana Teknik Elektro Vol., 3(1), 72–81. https://doi.org/10.12928/biste.v3i1.3214
Sensorex. (2023). The Significance of Skin pH in Cosmetics Manufacturing. Retrieved Maret 10, 2025, from. https://sensorex.com/skin-ph
Silalahi, P. H., & Soemartono, G. P. (2024). Pertanggungjawaban Pengusaha Atas Produk Skincare Merek Palsu pada Marketplace Shopee. Ranah Research: Journal of Multidiciplinary Reseasrch and Development, 6(4), 617–628. https://doi.org/https://doi.org/10.38035/rrj.v6i4.857
Suma, M. R., Bhutra, N., Bhat, O., Pandey, R. K., & Mohanta, S. (2024). Skin Sense an IoT & ML Approach to Skin Health Management Developments. Grenze International Journal of Engineering and Technology, 1(6), 1–8. https://doi.org/10.1109/ICECA.2018.8474593.
Suprapto, D. D. A., Fauziah, Fitri, I., & Hayati4, N. (2020). Pengembangan Aplikasi Sistem Informasi Smart Register Online Berbasis Android Menggunakan Algoritma BruteForce. Edumatic: Jurnal Pendidikan Informatika, 4(1), 47–56. https://doi.org/10.29408/edumatic.v4i1.2106
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