Image processing application to know the dawn of shadiq using Matlab software

Rusli, Rusli, Niswatul, Kariimah and Asni, Furaida (2021) Image processing application to know the dawn of shadiq using Matlab software. Presented at Proceedings of the International Conference on Engineering, Technology and Social Science (ICONETOS 2020), 2020, Malang, Indonesia.

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Abstract

Determination of preliminary prayer time is a fundamental thing because praying must be done in a specific time, not too fast and also too late. Several researchers said that the beginning of Dawn prayer in Indonesia was too fast and required re-assessment. The main factor related to determining prayer times is the height of the sun (dip). Some scientists and ulama’ have a different opinion about the value of the altitude at true dawn appears, ranging from -14° to-20°. This research uses image processing techniques using the Canny method of edge detection by utilizing the Graphical User Interface (GUI) feature of the Matlab Software. Data was collected in Dampit Sub-District, Malang Regency, and ten days every half hour before dawn prayer times based on the Ministry of Religion schedule until half an hour after that. The results of the research can detect images well and obtained dip values ranging from -17.588° to -20.8194° and time ranges from 04.25 to 04.12 WIB. From the ten data, the earliest dip value was taken as a result of research for caution because it was feared that the dawn would be obstructed by cloudiness, namely when the dip was greater than -20.8194°. The accuracy value of the dawn time in Dampit Sub-District compared to the Ministry of Religion has a difference of one to ten minutes. However, the dip range of the research results with the dip used by the Ministry of Religion has the same value, namely -20°.

Item Type: Conference (Paper)
Keywords: Dawn of Shadiq, Canny Edge Detection, Dip, Dawn Prayer
Subjects: 02 PHYSICAL SCIENCES > 0201 Astronomical and Space Sciences > 020111 Islamic Astronomy (Falak) > 02011102 Prayer (Shalat) Times
Depositing User: Rusli Rusli
Date Deposited: 03 Jun 2022 19:30

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