Image Processing Application to Know the Dawn of Shadiq Using Matlab Software

DOI

10.2991/assehr.k.210421.112How to use a DOI?

Keywords

Dawn of Shadiq, Canny Edge Detection, Dip, Dawn Prayer

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°.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rusli
AU  - Niswatul Kariimah
AU  - Asni Furaida
PY  - 2021
DA  - 2021/04/22
TI  - Image Processing Application to Know the Dawn of Shadiq Using Matlab Software
BT  - Proceedings of the International Conference on Engineering, Technology and Social Science (ICONETOS 2020)
PB  - Atlantis Press
SP  - 777
EP  - 781
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210421.112
DO  - 10.2991/assehr.k.210421.112
ID  - 2021
ER  -