Analisis Intensitas Cahaya Lampu Pijar dengan Menerapkan Metode Gray Level Co-occurence Matrik

Abstract

This paper proposes primary dataset with 13 images thermal capture, 8 high frequency and 4 low frequency. We utilize thermal images fluorescent lamp and using image processing with extraction feature GLCM method. Furthermore, Contrast, Correlation. Energy, Homogeinity dan sudut 0°, 45°, 90°, 135°, these feature texture using for calculated validation compare with both exsperiment qualitative results in Table1 and Table2. Therefore, exsperiment with fluorescent lamp Figure 2 quantitative results significant in Table1. Quantitative results with fluorescent lamp in Table2 extraction feature GLCM method with angle 0°, 45°, 90°, 135° and in Table1 quantitaive result with low frequency 50 Hz with T (oC) 50 is significantly robust. Comparable quantitative results in Table2 with low frequency 50 Hz from extraction feature mean value angle 0°, 45°, 90°, 135° Contrast (0.0363), Correlation (0.9959), Energy (0.1353), and Homogeneity (0.9832).

Sistem Manajemen Daya Listrik Pada Pengamanan Kendaraan Berbasis Android

“…Jumlah total konsumsi listrik (Hartono & Hardiansyah, 2022;Kridoyono et al, 2022), kendaraan dipengaruhi pada beberapa faktor, termasuk jenis kendaraan, ukuran mesin, dan berbagai komponen elektronik yang terpasang. Konsumsi listrik kendaraan biasanya diukur dalam daya listrik (watt atau kilowatt) atau arus listrik (ampere).…”