Turnitin OPTIMIZATION OF THE WHATSAPP APLICATION IN LEARNING TAḤSĪN AL-QUR’ĀN TO IMPROVE STUDEENTS’ RADING AL-QUR’ĀN ABILITY

Suwarno, 197507172014031001 (2022) Turnitin OPTIMIZATION OF THE WHATSAPP APLICATION IN LEARNING TAḤSĪN AL-QUR’ĀN TO IMPROVE STUDEENTS’ RADING AL-QUR’ĀN ABILITY. STAI HUBBUL WATHAN DURI, Jurnal Al Islah.

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Abstract

Abstract: According to the circular of the Ministry of Education, Culture, Research and Technology circular, learning for the academic year 2021/2022 can be carried out face-to-face. However, at IAIN Takengon face-to-face learning is only held for new students, while students still carry out lectures boldly. In learning challenges, many media are used by lecturers, one of which is the WhatsApp application. Including the Taḥsīn al-Qur'ān course using the WhatsApp application. This study aims to determine the optimization and effectiveness of the use of the WhatsApp application in Taḥsīn al-Qur'ān learning to improve students' reading Qur'an ability. This research uses mixed research methods. The data collection technique was carried out using interview and observation techniques with students through zoom meetings and googlemeet to find qualitative data, while quantitative data were collected through documentation techniques. Analysis of the data used is also qualitative data analysis and quantitative analysis, qualitative analysis is used to analyze data from interviews and observations of optimizing whatsApp applications in bold learning, while quantitative data analysis is used to analyze the analysis of students' reading ability of the Qur'ān related to the use of the WhatsApp application. in learning Taḥsīn al-Qur'ān. The results of the study in optimizing the WhatsApp application were carried out by maximizing the use of features or menus in the WhatsApp application. The use of the WhatsApp application in Taḥsīn al-Qur'ān learning to improve students' reading of the Qur'ān is quite effective based on the results of the t-test of the pretest and posttest scores where the value of t table with a significance degree of 0.05 and df=16 is obtained t_count=9.419 . Because t_count>t_table (9,14>1,746).

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