The Current Research Trend about Machine Learning as a New Way of Fostering Islamic Education in School

Aug 3, 2026

Study examines how machine learning can support teaching Islamic education to the young generation using Qur'an and hadith as the learning basis. Data collection uses bibliometrics with secondary metadata sourced from Scopus, divided into Qur'an and hadith categories. Approximately 49 samples for Qur'an and 16 for hadith are analyzed through bibliometric methods using two software tools. Results identify machine learning keywords such as SVM, KNN, and ANN for analyzing interpretation texts, providing practical references for applying machine learning features in Islamic education in Indonesia.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages11

Reading Time28 min

AccessFree to download

Introduction

Background: Islam, education, and globalization

Machine learning for adaptive Islamic learning

Need for bibliometric review and related studies

The Current Research Trend about Machine Learning as a New Way of Fostering Islamic Education in School Bahrul Ulum1 Nanang Qosim 2 [bahrulgms424@gmail.com](bahrulgms424@gmail.com) [m.nanang.qosim.mjk@gmail.com](m.nanang.qosim.mjk@gmail.com) Abstract: This study has the purpose of observing the usage of machine learning as a new way of teaching Islamic education according to the Qur'an and hadith to the young generation. The method used for data collection is bibliometrics, using secondary data in the form of metadata on the Scopus website. The sample is divided into two charts: the Qur'an and the hadith. Around 49 samples were found for the Qur'an category and 16 for the Hadith category. The data was analyzed using bibliometric methods with two software. The result of this study was that the most used words in the author's keywords for Qur'an subjects were machine learning SVM, KNN, and ANN. This means that SVM, KNN, and ANN were used for certain purposes and situations in analyzing the interpretation result inside the text of the Qur'an done by Ulamas. The practical implication of this study is to be used as a reference for Islamic education in Indonesia to use machine learning features. Keywords: Citation, education, Islam, pesantren, topic Abstrak: Penelitian ini bertujuan untuk melihat penggunaan machine learning sebagai cara baru dalam mengajarkan pendidikan Islam berdasarkan Al Qur'andan hadis kepada generasi muda. Metode yang digunakan untuk pengumpulan data adalah bibliometrik dengan menggunakan data sekunder berupa metadata di situs Scopus. Sampel dibagi menjadi dua grafik, yaitu Al-Qur'an dan hadis. Ditemukan sekitar 49 sampel untuk kategori Al-Qur'an dan 16 sampel untuk kategori Hadis. Data dianalisis menggunakan metode ebibliometrik dengan duaperangkat lunak. Hasil dari penelitian ini adalah kata yang paling banyak digunakan dalam kata kunci penulis untuk subjek Al-Qur'an adalah machine learning yaitu SVM, KNN, dan ANN. Hal ini berarti SVM, KNN, dan ANN digunakan untuk tujuan tertentu dan situasi tertentu dalam menganalisis hasil penafsiran di dalam teks Al Qur'an yang dilakukan oleh para Ulama. Implikasipraktis dari penelitian ini diharapkan dapat digunakan sebagai referensi bagipendidikan Islam di Indonesia untuk menggunakan fitur-fitur pembelajaranmesin. Kata Kunci: Kutipan, pendidikan, Islam, pesantren, topik 1 STAI YPBWI, Surabaya, Indonesia 2 STAI YPBWI, Surabaya, Indonesia Introduction Indonesia is the country with the largest number of Muslims in the world, with a Muslim population reaching 240.62 million people in 2023. This number is equivalent to 86.7% of Indonesia's total population of 277.53 million people (Ghifara et al., 2022) . Based on data from the World Bank, Indonesia has been the country with the largest Muslim population in the world since 2010 (Rahman et al., 2022) . This is due to the growth of the Muslim population in Indonesia which is faster than the growth of the Muslim population in other countries (Iman, Sukmana, et al., 2022) . Indonesia has the largest Muslim population in the world and has great potential for economic growth, both domestically and internationally (Iman, Sukmana, et al., 2022) . However, Islamic religious education is needed to be able to direct the young generation of Muslims so that the negative culture of globalization does not influence them. Islamic religious education can instill noble moral values, such as honesty, justice and compassion. This can help the young generation of Muslims to become individuals with noble character and can be role models for society. Apart from that, Islamic religious education can provide provisions for the young Muslim generation to face the challenges and dynamics of life. This can help them to become strong individuals who can face various life problems (Wardhana, 2021) . The excellence of the younger generation of Muslims in Indonesia is not balanced by competent Islamic education (Syafiq Humaisi et

FAQs

What is the main purpose of the study?

To observe the use of machine learning as a new approach for teaching Islamic education to the young generation based on the Qur'an and hadith.

How was the data collected and analyzed?

The study used bibliometrics with secondary metadata from Scopus, then analyzed the data using bibliometric methods with two software tools.

Which machine learning methods appear most in the Qur'an-related author keywords?

Machine learning SVM, KNN, and ANN are the most frequently used keywords for Qur'an subjects.

Aug 3, 2026

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