Vector Analysis of the Prayer Movement on Health Using Visual Media Multimedia Application Development Life Cycle

Indah Purnama Sari, Aulia Jannah, Abdillah Syahputra, Rivaldi Tanjung

Abstract


This study aims to determine the vector analysis in the prayer movement and to find out the benefits of the prayer movement on health using the visual media Multimedia Development Life Cycle (MDLC). The data collection technique uses the documentation method and data sources are obtained from primary data sources and secondary data (Qur'anic interpretation books, references related to vectors, prayer movements, health, previous research, articles, journals, and websites. Internet). The analysis technique used is deductive thinking techniques and maudhu'iy interpretation techniques. The results showed that: (1) According to a scientific perspective, vectors with the prayer movement can be added to a vector called the resultant vector obtained by several methods, namely the triangle method as well as bowing movements, the parallelogram method such as movement during prostration, the polygon method. the same is the case with bowing movements and movements towards i'tidal, and analytical calculations using the 2-way resultant formula. (2) According to the perspective of Al-Qur'an, when looking for the resultant force on a vector, it must be known the value and direction, namely the movement of one rakat prayer is equal to one 360 ° rotation. (3) The benefits of the prayer movement for health are that every movement that is correct and perfect and carried out continuously has many benefits that can be felt by the body.

Keywords


Vector; Prayer; Health; Al-Qur'an; science

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References


Armehedi Mashar. 1993.Islam Masa Depan, Bandung: Pustaka.

A. Hasan. 1999. Terjemahan Bulughul Maram, (Cet 23: Bandung: Penerbit Diponegoro.

Aziz Salim Basyarahil. 2001. Shalat Hikmah Falsafah dan Urgensinya. Jakarta: Gema Insani Press.

Bisri Mustofa. 2007. Menjadi Sehat dengan Shalat, Yogyakarta: Optimus.

Hasan El-qudsy. 2012. Rahasia Gerakan dan Bacaan Shalat.Surakarta: Ziyad Visi Media.

Kementrian Agama RI. 2011.Mushaf Al- Awwal,Bandung: Mikhraj Khasanah Ilmu.

Kementrian Agama RI.2010.Al-Qur’an dan Terjemahan untuk Wanita.Jakarta: Oasis Terrace Recident.

Rindang. 2009. Menguji Pakta Integritas Departemen Agama. No. 07THXXXIV Peb.

Sugiyono. 2010. Statistik untuk Penelitian, Bandung: Alfabeta.

Sri Jumini. 2014. Elektron Bertasbih. Jurnal Penelitian dan pengabdian kepada Masyarakat Volume 1,No. 3.

Sri Jumini.2015. Konsep Vektor dan Nilai-nilai Pendidikan Spiritual di Dalamnya (Telaah Buku “Analisis Vektor” Kajian Teori Pendekatan Al-Qur’an Karya Ari Kusumastuti),Jurnal Penelitian dan pengabdian kepada Masyarakat Volume 2, No. 1.

Tim Penyusun. 2013.Modul Pembelajaran Fisika, Klaten: Viva Pakarindo.

Lubis, M., Fauzi, R., Lubis, A. R., & Fauzi, R. (2018, August). A Case Study of Universities Dormitory Residence Management System (DRMS) in Indonesia. In 2018 6th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-6). IEEE.

Al-Khowarizmi, A. K., Fauzi, F., Sari, I. P., & Sembiring, A. P. (2020). The effect of indonesian and hokkien mobile learning application models. Journal of Computer Science, Information Technology and Telecommunication Engineering, 1(1), 1-7.

Fauzi, F., Al-Khowarizmi, A. K., & Muhathir, M. (2020). The e-Business Community Model is Used to Improve Communication Between Businesses by Utilizing Union Principles. Journal Of Informatics And Telecommunication Engineering, 3(2), 252-257.

Syah, R., Nasution, M. K., & Elveny, M. (2021). Sensitivity of MAPE using detection rate for big data forecasting crude palm oil on k-nearest neighbor. International Journal of Electrical & Computer Engineering (2088-8708), 11(3).

Lubis, A. R., & Prayudani, S. (2020, October). Optimization of MSE Accuracy Value Measurement Applying False Alarm Rate in Forecasting on Fuzzy Time Series based on Percentage Change. In 2020 8th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-5). IEEE.

Lubis, A. R., Prayudani, S., & Lubis, M. (2019, November). Analysis of the Markov Chain Approach to Detect Blood Sugar Level. In Journal of Physics: Conference Series (Vol. 1361, No. 1, p. 012052). IOP Publishing.

Muhathir, M., Sibarani, T. T. S., & Al-Khowarizmi, A. K. (2020). Analysis K-Nearest Neighbors (KNN) in Identifying Tuberculosis Disease (Tb) By Utilizing Hog Feature Extraction. Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal, 1(1).

Al-Khowarizmi, A. K. (2020). Model Classification Of Nominal Value And The Original Of IDR Money By Applying Evolutionary Neural Network. Journal of Informatics and Telecommunication Engineering, 3(2), 258-265.

Lubis, M., & Lubis, A. R. (2020, April). Classification of Tajweed Al-Qur'an on Images Applied Varying Normalized Distance Formulas. In Proceedings of the 3rd International Conference on Electronics, Communications and Control Engineering (pp. 21-25).




DOI: http://dx.doi.org/10.30596%2Fijessr.v2i1.6413

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