Skip to content

Implementation of the Iqra’ Method to Improve Qur’an Reading Skills at Rahmah Al-Asri Qur’anic Education Center, Unit 267, Basirih Selatan Subdistrict, Banjarmasin

Oct 2026 · Jurnal Pengabdian Masyarakat · 10 citations · 162 references

Abstract

This study aims to analyze the implementation of the Iqra’ method in improving Qur’anic reading skills among students at TPA Rahmah Al-Asri Unit 267, Basirih Selatan, Banjarmasin, and to examine the supporting and inhibiting factors influencing its implementation. This study employed a qualitative field research approach. Data were collected through observation, semi-structured interviews, and documentation involving the unit head, teachers, and students. The data were analyzed through data reduction, data display, and conclusion drawing. The findings reveal that the Iqra’ method is implemented systematically through a gradual learning sequence from Volume 1 to Volume 6, supported by the CBSA approach, individual instruction, question-and-answer activities, direct assessment, repetition, and memorization. The effectiveness of implementation is supported by teacher commitment and patience, parental involvement, student rewards, and adequate learning facilities, while limited concentration, boredom, and students’ tendency to play constitute major challenges. The novelty of this study lies in identifying the Iqra’ method as a structured, individualized, and evaluative learning model that integrates gradual mastery with continuous reinforcement in a community-based Qur’anic education setting. These findings demonstrate that the Iqra’ method can effectively facilitate hijaiyah recognition and progressively strengthen students’ Qur’anic reading skills

Read PDF

Similar papers

#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#machine learning Review Open access Jun 2014

Why Early-Stage Software Startups Fail: A Behavioral Framework

This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.

Carmine Giardino, Xiaofeng Wang, P. Abrahamsson · 175 citations · ⚡19
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#machine learning Review Open access May 2016

Key Challenges in Software Startups Across Life Cycle Stages

It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.

Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al. · 62 citations · ⚡6

Related blog posts

MIT News · Artificial Intelligence Oct 7, 2026

Discovering the value of humanistic inquiry

Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.