Image processing analysis to determine fajr time using the imagej application

Abstract

The determination of early prayer times is an essential aspect as it is one of the five pillars in Islam and prerequisites for prayers to be accepted. The government has set a standard for carrying out the fajr prayer by determining the degree of appearance of the fajr as-Sadiq at -2 0̊ . This study aims to compare the initial determination of the government's fajr time using different sensors. In this case, the drones as the image sensor. The drone was chosen because it has several advantages. The result of data is in the form of images. Then the images were processed using digital image processing software, called Imagej. The data from Imagej processing were in the form of mean and standard deviation. All data were then recapitulated using Microsoft excel and plotted to form data which was then carried out by a polynomial approach to determine the cut-off point as an early indicator of the beginning of fajr. The method used in this study is using a qualitative analysis method with a polynomial 5 approach. The conclusion obtained in this study is that the government's fajr time is 21 minutes faster. The standard used in this study is a DIP of -13.9 5̊ . Unlike the SQM with 2D drone data, the 3D version generates more accurate data analysis and is not easy to manipulate because it can be verified with image data.