cover
Contact Name
Dian Saadillah Maylawati
Contact Email
kjrt@uinsgd.ac.id
Phone
+6285720288584
Journal Mail Official
kjrt@uinsgd.ac.id
Editorial Address
Jl. A.H. Nasution No.105, Cipadung, Kec. Cibiru, Kota Bandung
Location
Kota bandung,
Jawa barat
INDONESIA
Khazanah Journal of Religion and Technology
ISSN : -     EISSN : 29876060     DOI : https://doi.org/10.15575/kjrt
The Khazanah Journal of Religion and Technology is dedicated to advancing the understanding of the complex relationship between religion and technology. The journal aims to serve as a platform for publishing original research that explores the intersection of these two domains, focusing on recent and contemporary media and technology. The journal welcomes empirical research that investigates how religious ideas and practices are communicated, studied, represented, enforced, and countered through various technological means. This includes but is not limited to the examination of religion in films, social media, games, websites, applications, and television. We invite researchers to contribute studies that shed light on the diverse aspects of the interaction between religion and technology. Topics of interest include, but are not limited to: The role of technology in religious communication: Exploring how religious communities and individuals utilize technology to disseminate religious messages, engage with believers, and foster virtual religious experiences. Digital religious practices and rituals: Investigating the emergence and impact of online religious practices, virtual religious communities, and digital rituals. Religion and social media: Examining the influence of social media platforms on religious discourse, religious identity formation, and religious movements. Religious representation in media and popular culture: Analyzing the portrayal of religion, religious figures, and religious narratives in films, television shows, video games, and other forms of media. Ethical implications of religious technology: Addressing ethical considerations and challenges arising from the integration of technology into religious practices, such as data privacy, digital surveillance, and the preservation of religious authenticity. Technological innovations in religious institutions: Investigating how religious institutions adopt and adapt to new technologies, including the development of religious websites, applications, virtual reality experiences, and interactive installations. While the journal encourages research from diverse religious traditions, literary genres, and geographic areas, the emphasis remains on contemporary and recent phenomena in the realm of religion and technology. Theological writings, however, fall outside the scope of the journal and are not typically accepted for publication. The Khazanah Journal of Religion and Technology seeks to foster interdisciplinary scholarship, encouraging contributions from researchers in fields such as religious studies, media studies, communication studies, sociology, anthropology, psychology, and computer science. The journal aims to contribute to the social scientific conversation and promote a nuanced understanding of the dynamic relationship between religion and technology in today digital age.
Articles 25 Documents
CRNN Algorithm and MFCC Feature Extraction in Classifying Hijaiyah Letter Pronunciation: A Systematic Literature Review Fatah, Mohammad Putra Fauzan
Khazanah Journal of Religion and Technology Vol. 3 No. 1 (2025): June
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v3i1.1555

Abstract

The ability to read the hijaiyah letters correctly is an important foundation in learning the Qur'an. However, the low Qur'an literacy in Indonesia indicates the need for technological innovation to support the learning process. This article presents a systematic literature review on the application of the Convolutional Recurrent Neural Network (CRNN) algorithm and the Mel-Frequency Cepstral Coefficients (MFCC) feature extraction technique in speech classification, with a focus on their potential implementation for recognizing the pronunciation of the hijaiyah letters. The analysis was conducted based on ten relevant studies selected using the PRISMA method. The results of the study indicate that MFCC is effective in representing the phonetic characteristics of sounds, including in the Arabic context. Meanwhile, CRNN has proven superior in managing audio data with tempo and sequential structure. The combination of the two has strong potential to build an accurate and adaptive hijaiyah letter sound classification system, especially in supporting speech-based tajweed learning. This study provides a conceptual basis for the development of an artificial intelligence-based Qur'an learning application.
Systematic Literature Review: Deep Learning Models in Arabic Script Classification Khalifaturohman, Muhamad Khansa
Khazanah Journal of Religion and Technology Vol. 3 No. 1 (2025): June
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v3i1.1619

Abstract

Arabic calligraphy is an essential element of Islamic art, and is now widely developed in digital form. With the advancement of artificial intelligence technology, particularly Convolutional Neural Networks (CNNs), several studies have been conducted to classify the styles, characters, and authenticate Arabic calligraphy. This study aims to conduct a systematic literature review on the application of CNNs in the recognition and classification of Arabic calligraphy. The identification process was carried out by searching several scientific databases and screening 152 articles, but only five studies met the criteria for relevance and eligibility. The results of the study indicate that the application of CNNs in this domain is still limited and dominated by a focus on style or letter classification, while topics such as authenticity of original works and AI-generated calligraphy detection are still very rarely researched. The limited number of available studies indicates that this topic is an open area for further exploration in the academic realm and the development of digital Islamic art preservation technology.
Finding Important Patterns of Sadaqah and Waqf Transactions in the Eid Charity Global Donation using Frequent Pattern Growth Fauzi, Rafif Sunu; Arianisa, Sabilah; Vahira, Viqriza Ahmad; Mohamed
Khazanah Journal of Religion and Technology Vol. 3 No. 1 (2025): June
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v3i1.1641

Abstract

This study aims to explore and uncover hidden patterns in charitable donation transactions (sadaqah and waqf) using the Frequent Pattern Growth (FP-Growth) algorithm as a method of association rule mining. The research employs an experimental design conducted on the Google Colaboratory platform using Python version 3.11.3. The dataset used is the global donation data from Eid Charity, available on the Kaggle platform, comprising 45,842 rows and 33 attributes. The experimental results yielded six association patterns, all of which have the consequence of "mosques," indicating that various forms of donations consistently culminate in fund allocations to mosques. The most significant pattern was found in the combination of “Ensuring preachers and imams are conditional” and “Well Drilling,” which produced the highest metric values in confidence (0.896), lift (3.39), conviction (7.08), and Zhang’s metric (0.714). These findings suggest that mosques serve as the central hub of philanthropic activity within the dataset. The discovered patterns provide deep insights into donor behavior tendencies and can serve as a foundation for more targeted and effective strategies in managing and developing future donation programs.
Sharia Stock Investment Decision Making Using the Deep Recurrent Q-Network Model Rus'an, Jasmein Al-baar Putri; Zidan, Muhammad; Raihan, Muhammad Arkan; Sukarya, Marleni; Rafiudin, Sendi Ahmad
Khazanah Journal of Religion and Technology Vol. 3 No. 1 (2025): June
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v3i1.1706

Abstract

This study aims to design and evaluate a Deep Recurrent Q-Network (DRQN) agent for automated trading decision-making on Islamic stocks, training it with daily historical price data from the Indonesian Islamic Stock Index (ISSI) and integrating a Long Short-Term Memory (LSTM) layer. Although the agent successfully learns a profitable strategy during the training phase, on unseen test data, it exhibits passive behavior by only choosing the 'hold' action, resulting in zero profit—a phenomenon known as policy stagnation. This finding indicates that the used reward function implicitly encourages excessive risk aversion. The study concludes that the success of the DRQN architecture relies heavily on sophisticated reward engineering, underscoring the need for future research on dynamic and adaptive reward mechanisms to develop robust and generalizable trading agents in the complex Islamic finance domain.
Shaping Identities, Shaping Futures: The Socio-Religious Impact of Digital Culture on Nigerian Youth Japheth, Tonbrapade; Gbule, Ndidi Justice; Opara, Christopher
Khazanah Journal of Religion and Technology Vol. 3 No. 1 (2025): June
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v3i1.2067

Abstract

In the digital age, social media platforms have revolutionized the way young people form and express their identities. This study examines the complex and multifaceted relationship between digital culture and youth identity formation in Nigeria, a country with a rapidly growing youth population and increasing social media penetration. Using a mixed-methods approach, this research explores how digital platforms shape and reshape youth identities, influencing their self-concept, relationships, and worldviews. The study draws on two theoretical frameworks: technological determinism and social learning theory, providing a rich understanding of the interplay between digital culture and youth identity. The findings of this study reveal a paradoxical impact of digital culture on youth identities in Nigeria. On the one hand, digital platforms offer opportunities for self-expression, activism, entrepreneurship, and innovation. On the other hand, they also pose significant risks, including the erosion of cultural and religious identity, social media pressure, cyber-bullying, and other negative consequences. This study contributes to the growing body of research on digital culture and youth identity, highlighting the need for a much clearer understanding of the complex relationships between digital media, identity formation, and socio-religious contexts. The findings of this study have implications for policymakers, educators, and parents seeking to navigate the challenges and opportunities of digital culture for young people in Nigeria.

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