Implementasi Sensor Cahaya Film Tipis Ba0,25Sr0,75TiO3 didadah Mn pada Sistem Monitoring dan Kendali Lampu Otomatis Berbasis IoT

Abstract

Penelitian ini bertujuan mengembangkan sensor cahaya berbasis film tipis Ba0,25Sr0,75TiO3 didadah Mangan untuk aplikasi sistem monitoring berbasis Internet of Things. Penelitian dilakukan untuk menganalisis pengaruh variasi konsentrasi pendadah Mn (0%; 0,5%; dan 1%) terhadap sifat optik, struktur kristal, karakteristik listrik, serta kinerja sensor cahaya. Film tipis BST difabrikasi menggunakan metode Chemical Solution Deposition. Kemudian dikarakterisasi melalui pengujian ketebalan, spektrofotometri UV-Vis, XRD, dan pengukuran arus-tegangan (I–V). Hasil penelitian menunjukkan bahwa penambahan Mn memengaruhi karakteristik material, ditandai dengan peningkatan energi band gap dari 1,95 eV menjadi 2,13 eV, penurunan parameter kisi dari 4,39 Å menjadi 4,12 Å, serta peningkatan polarisasi spontan hingga 16,8865 C/m2. Karakterisasi I–V menunjukkan respons fotokonduktif. Implementasi sistem IoT berhasil menampilkan data sensor secara real-time dan mengendalikan lampu secara otomatis maupun manual. Berdasarkan pengujian sistem, sensor menunjukkan sensitivitas sebesar 33,58% dengan latensi website rata-rata sebesar 551,4 ms.

This research focuses develop a manganese doped Ba0,25Sr0,75TiO3 thin-film light sensor for Internet of Things based monitoring applications. The research investigates the effect of Mn doping concentrations (0%, 0.5%, and 1%) on the optical, crystalline, electrical, and sensing characteristics of BST thin films. The films were fabricated using the Chemical Solution Deposition method with a spin-coating technique and characterized through thickness measurement, UV–Vis spectrophotometry, XRD, and current–voltage (I–V) analysis. The results demonstrate that Mn doping significantly affects the material properties, as indicated by an increase in the band gap energy from 1.95 eV to 2.13 eV, a decrease in the lattice parameter from 4.39 Å to 4.12 Å, and an increase in spontaneous polarization up to 16.8865 C/m². The I–V characterization confirms photoconductive behavior. The developed IoT system successfully performs real-time monitoring and supports both automatic and manual lighting control. The proposed sensor achieved a sensitivity of 30% with an average website latency of 551.4 ms.