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THE REWARD OF WORSHIP IN RAMADHAN DURING COVID-19 PANDEMIC: A MATHEMATICAL ANALYSIS Akhsanul Inam; Maya Rayungsari
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 9, No 4 (2020)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (208.823 KB) | DOI: 10.24127/ajpm.v9i4.3065

Abstract

This research aims at analyzing the rewards obtained from carrying out worship in Ramadhan during the Covid-19 Pandemic Period. The research approach applied was qualitative with the type of library research.  The objects of the research were prayer, reading Al Qur’an and Al-Hadith. The Covid-19 pandemic period, according to the regulation issued by the government of Indonesia in the form of social distancing, gave great impacts on the implementation of worship during Ramadhan. The data were analyzed based on the stipulations and guidelines of implementing the worship, especially during Ramadhan, which had been analyzed using mathematical calculations. The research results showed that the reward of implementing worship during the Covid-19 pandemic period was tremendous either in quantitative or qualitative calculations. In addition, it focused on the quality, so that the results of this research can be utilized as a basis for improving the quality of worship. AbstrakPenelitian ini bertujuan untuk menganalisis manfaat yang diperoleh dari melaksanakan ibadah di bulan Ramadhan selama Periode Pandemi Covid-19. Pendekatan penelitian yang digunakan adalah kualitatif dengan jenis penelitian kepustakaan. Objek penelitiannya adalah shalat, membaca Al-Qur'an dan Al-Hadits. Masa pandemi Covid-19, menurut aturan yang dikeluarkan pemerintah Indonesia berupa social distancing, berdampak besar pada penyelenggaraan ibadah selama Ramadhan. Data dianalisis berdasarkan ketentuan dan pedoman pelaksanaan ibadah khususnya pada bulan Ramadhan yang dianalisis menggunakan perhitungan matematis. Hasil penelitian menunjukkan bahwa pahala melaksanakan ibadah selama periode pandemi Covid-19 sangat besar baik secara kuantitatif maupun kualitatif. Selain itu juga menitikberatkan pada kualitas, sehingga hasil penelitian ini dapat dimanfaatkan sebagai dasar untuk peningkatan kualitas ibadah. 
Parameters Estimation of Generalized Richards Model for COVID-19 Cases in Indonesia Using Genetic Algorithm Maya Rayungsari; Muhammad Aufin; Nurul Imamah
Jambura Journal of Biomathematics (JJBM) Volume 1, Issue 1: June 2020
Publisher : Department of Mathematics, State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjbm.v1i1.6910

Abstract

In this research, genetic algorithm was implemented to estimate parameters in generalized Richards model by adjusting COVID-19 case data in Indonesia. Data collected were the daily new cases and cumulative number of COVID-19 case in Indonesia from early March to early June 2020, that was reported by databoks.katadata.co.id. The best pair of parameters was selected based on the lowest cost function value, determined from the distance between data with estimated model and real data. Next, model with estimated parameters is used to predict new cases and cumulative cases for upcoming days. Numerical simulations were carried out so that the peaks and ends of the COVID-19 pandemic can be seen easily.