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All Journal Jurnal Informatika dan Teknik Elektro Terapan Indonesian Journal of Artificial Intelligence and Data Mining ILKOM Jurnal Ilmiah Jambura Journal of Electrical and Electronics Engineering Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Profesi Insinyur Universitas Lampung COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat International Journal of Advanced Multidisciplinary Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics Jurnal Riset Multidisiplin dan Inovasi Teknologi
Ramza, Harry
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Image processing analysis to determine fajr time using the imagej application Septianto, Arif; Rosalina, Rosalina; Ramza, Harry
ILKOM Jurnal Ilmiah Vol 13, No 3 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i3.954.300-306

Abstract

The issue of determining the time of prayer is very fundamental because it is one of the pillars so that the worship of a Muslim is accepted. The government has set a standard for carrying out the dawn prayer, namely by determining the degree of appearance of the dawn of shodiq at -20 degrees. This study aims to compare the initial determination of the government's dawn time using different sensors, namely drones as image sensors, drones were chosen because they have several advantages. The resulting data is in the form of photos and then the photo data is processed using digital image processing software, namely imagej. The data from imagej processing are in the form of mean and standard deviation, all data are then recapitulated using Microsoft excel and plotted so as to form data which is then carried out by a polynomial approach to determine the cutoff point as an early indicator of the entry of dawn. 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 dawn time is 21 minutes faster, the standard used in this study is a DIP of -13.95 degrees and unlike the 2D SQM. 3D drone data results in more accurate data analysis and is not easy to manipulate because it can be verified with photo data.
Co-Authors Ade Davy Wiranata Adianto, Alfret Agustini Rodiah Machdi Aisyah, Tita Akram, Ar'rafi Aprianto, Rizqi Naufal Ariyansyah, Riyan Assaidi, Humaid Badron, Khairayu Bragaswara, Wildan Yuda Eko Kurniawan Emilia Roza Farhan Alif Fayakun, Kun Gunadi, Reza Ismail, Ahmad Fadzil Januar Akbar Khomarudin, Muhammad Rokhis Kun Fayakun M. Asep Rizkiawan Maryani Hartuti, Maryani Md Khir, Mohd Haris Melvandino, Figo Hafidz Miftahuddin Miftahuddin Mohammad Syuhaimi Ab-Rahman Mujirudin, Mohammad Naufal, Daffa Dean Nuroji Nuroji Pinardi, Sofia Pratiwi, Nunik Rachmadinasya, Safira Adinda Rifaldi Rifaldi, Rifaldi Rosalina Rosalina Saepurohman, Asep Sahar, Fahmi Saksono, Tono Salam Maulana, Salam Saumi, Farhan Septianto, Arif Sinduningrum, Estu Siregar, Masbah Rotuanta Tagore Sofwan, Agus Sugiharto, Dedy Ulum, As’ad Syaifudin Widodo, Muh. Adnan Yudhanto, Tossa Hario