Khazanah Journal of Religion and Technology
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
<![CDATA[Religious and Ecclesiastical Media in the Hungarian Electronic Media Ecosystem ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 2 (2023): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v1i2.374
<![CDATA[Many academic works examine religious media institutions and media content producers operating in European countries, including Hungary, but most of them do so in an isolated way, mostly focusing on a particular content producer. The present study aims to provide a comprehensive picture of the operation of religious content producers in Hungary in a broader context, which considers the overall media system from a legal and economic point of view. First, we give a short retrospective overview about the history of Hungarian church press. Afterwards we examine the current legal framework for audiovisual regulation in Hungary. The conclusions are based on data obtained using three different methodologies. We have analyzed the freely accessible records of the Hungarian media authority (NMHH) and legislation, conducted a total of 6 in-depth interviews and an analysis of the content produced by each media outlet. The results of our research showed that in Hungary there is a disconnect between the concepts of church and religious media and that churches have hardly any comprehensive strategy to exploit the potential of digitalization. It can be concluded that church-owned media with religious content cannot be included in the present legal and economic framework without problems. Finally, an important question is whether and how church media are adapting to the changed environment. Our case studies show that the picture is mixed in this respect, because there is a lack of a coherent strategy among the actors on how service providers can adapt as effectively as possible to the new technological consumption patterns.]]>
<![CDATA[Digital Transformation: Digitising Witness Statements in South African Policing in Alignment with Religious Principles ]]>
<![CDATA[Zikalala, Nomsa Ingrid]]>;
<![CDATA[Mofokeng, Jacob Tseko]]>;
<![CDATA[Motseki, Moses Morero]]>;
<![CDATA[Zenzile, Enoch]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 1 (2024): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i1.646
<![CDATA[The utilisation of new technologies towards supporting effective and accountable policing is increasingly dependent on e-government development and other technological advancements. England and Wales have long moved from paper witness statements to digitally recorded statements, known as Digital Witness Statements (DWS). DWS refers to the digital capture, representation, and storage of the information needed for its use as an evidential witness statement in courts in England and Wales. This paper presents a prototype system that could be employed in the South African policing context, aligning with religious principles to ensure cultural sensitivity and ethical considerations. The aim of this study was to create awareness that digitisation has been an efficient method of capturing witness statements in the European policing context. Additionally, this study aimed to highlight the status quo of taking indigenous witness statements in South Africa. The objective was to explore the phenomenon of taking indigenous witness statements and to establish the South African Police Service (SAPS) members’ perceptions of the current methods. The study also examined how incorporating religious principles can enhance the acceptance and effectiveness of these digital methods within diverse communities. Thematic content analysis was conducted using Atlas.ti, and measures of trustworthiness were applied. Three dominant themes—“skills,” “resources,” and “duration”—emerged. The Theory of Performance (ToP) was used, and results indicated that SAPS members identified resources as a barrier to their performance. Integrating religious principles into the digitisation process may address some cultural barriers, fostering a more inclusive and respectful approach to modernising witness statement collection.]]>
<![CDATA[Classifying Hijaiyah Letters Handwritten Detection of Children Using CNN Algorithm ]]>
<![CDATA[Roofiad, Ahmad Maulidi]]>;
<![CDATA[Sabillah, Annisa]]>;
<![CDATA[Rohman, Aprian Nur]]>;
<![CDATA[Triyani, Elmi Wahyu]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 1 (2024): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i1.812
<![CDATA[Learning the Hijaiyah letters is an important basis because in learning the Qur'an, these abilities must be mastered before they can be introduced and taught to children. However, the recognition of Hijaiyah letters in children's handwriting is still a challenge due to the variations and inconsistencies that are often found. Deep learning technology, particularly Convolutional Neural Network (CNN), has demonstrated its ability to classify letters with a high degree of accuracy. Therefore, this research aims to develop a CNN-based Hijaiyah letter classification model to help children learn to write and read Hijaiyah letters properly. This research uses a CNN model that is optimized with data augmentation techniques and hyperparameter tuning. The model was trained using a standard dataset totaling 1,740 samples of Hijaiyah letters. Model evaluation is done by calculating accuracy, precision, recall, and F1-Score on the validation dataset. The results showed that the proposed CNN model achieved almost 94.35% accuracy on the validation dataset. This research is expected to improve children's ability to learn Hijaiyah letters.]]>
<![CDATA[SoulScripture: Chatbot using Bidirectional Encoder Representations from Transformers as a Medium of Spiritual Guidance ]]>
<![CDATA[Malik, Andhika]]>;
<![CDATA[Gefadri, Andhika Putra]]>;
<![CDATA[Sidik, Elman]]>;
<![CDATA[Syadrina, Alika Putie]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 1 (2024): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i1.822
<![CDATA[Mental health is an important aspect of human life. Many people face stress, anxiety, and distress daily without adequate support to manage these conditions. Islamic teachings from the Quran and Hadith provide wisdom as a source of inspiration and inner peace. However, accessing and understanding these teachings requires specialized knowledge and often the help of experts. With the advancement of machine learning, these teachings can be made more accessible and accurate. The SoulScripture app offers an innovative solution to support mental health by combining the wisdom of the Quran and Hadith through AI technology. Using the Bidirectional Encoder Representations from Transformers (BERT) model and Transformer architecture, the app can understand and provide relevant advice that anyone can access anytime. This research is significant because it offers a new approach to leveraging technology to support mental well-being, especially for communities underserved by conventional mental health services. The app was developed using self-supervised learning to understand the text of the Hadith without external annotation. This process involves several stages, such as user input, data preprocessing, and text analysis, to generate relevant answers. It is hoped that the SoulScripture application can serve as a source of inspiration and support for individuals in controlling stress and maintaining peace of mind, as well as supporting the achievement of the Sustainable Development Goals (SDGs) related to mental health.]]>
<![CDATA[The Cultural Relationship between Christianity and Technology for the Practice of Christian Mission ]]>
<![CDATA[Lee, Min Hyoung]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 1 (2024): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i1.853
<![CDATA[The involvement of all members of society in the advancement of technology is becoming a crucial aspect since the pace of technological advancement has accelerated markedly. Christianity, as a constituent of society, is also being called upon to reflect on technology and to apply it in tangible ways within the social context. This study examines how Christianity can contribute to the formation of social norms reflected in the development and operation of technology. The methods that this study uses include an initial investigation undertaken into the concept of technology based on the theory of the philosopher of technology, Langdon Winner. Subsequently, the study elucidates the interrelationship between Christianity and technology by demonstrating that technology and Christianity are human cultural systems on an equal footing. Finally, this study endeavors to facilitate an interdisciplinary dialogue between the philosophy of technology and public theology to postulate the potential for technology and Christianity to exert reciprocal influence on one another. Throughout these methods, this research defines the cultural relationship between technology and Christianity and finds influencing the trajectory of technological advancement from a Christian perspective constitutes a missional practice.]]>
<![CDATA[Leveraging Artificial Intelligence Technologies in the Service of the Holy Quran and Its Sciences ]]>
<![CDATA[Adnan, Basheer]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 2 (2024): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i2.900
<![CDATA[The research addresses the growing role of artificial intelligence in serving the Holy Quran and its sciences, reviewing the enormous potential that this field provides in improving the understanding, teaching, and learning of the Holy Quran. The research also aimed to demonstrate the importance of employing artificial intelligence technologies in serving the Holy Quran and its sciences, by presenting the importance of artificial intelligence technology and investing it in Islamic sciences, Islamic applications, serving the Noble Prophetic Hadith and its sciences, serving the objective interpretation of the Holy Quran, memorizing the Holy Quran and reciting it, in addition to issuing fatwas and spreading religious awareness. The research relied on a mixed research methodology, which included a qualitative analysis of the data, and the theoretical framework was prepared by referring to the literature that addressed the topic, including academic studies, websites, and electronic applications. By reviewing the applications of artificial intelligence and its importance to the topic under study, the results of the study showed great potential for using artificial intelligence in serving the Holy Quran and its sciences. These technologies are capable of facilitating the process of learning and teaching the Holy Quran and improving the understanding of meanings and interpretations .Based on these results, the study recommends intensifying research efforts in this field with a focus on areas such as analyzing Quranic narratives and understanding rhetorical meanings, encouraging cooperation between religious scholars and artificial intelligence experts to develop integrated applications that meet the needs of students and researchers, as well as encouraging religious and educational institutions to adopt these technologies and provide the necessary support for their development and application.]]>
<![CDATA[IndoT5 (Text-to-Text Transfer Transformer) Algorithm for Paraphrasing Indonesian Language Islamic Sermon Manuscripts ]]>
<![CDATA[Winda Puspitasari]]>;
<![CDATA[Dani Ramdani]]>;
<![CDATA[Aditya Muhamad Maulana]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 2 (2024): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i2.1093
<![CDATA[Pengembangan sistem parafrase otomatis dalam bahasa Indonesia semakin relevan seiring dengan meningkatnya kebutuhan aplikasi pemrosesan bahasa alami. Penelitian ini berfokus pada penerapan algoritma IndoT5 (Text-to-Text Transfer Transformer) untuk membangun sistem parafrase otomatis dalam bahasa Indonesia. Sistem ini dievaluasi menggunakan metrik BLEU, ROUGE, dan METEOR untuk mengukur kesamaan antara teks parafrase yang dihasilkan model dengan teks target yang diinginkan. Hasil evaluasi menunjukkan nilai BLEU sebesar 0,28, ROUGE-1 sebesar 0,59, ROUGE-2 sebesar 0,40, ROUGE-L sebesar 0,55, dan METEOR sebesar 0,50. Hal ini menunjukkan bahwa model mampu menghasilkan parafrase dengan tingkat kesamaan yang moderat dan mempertahankan makna semantik yang cukup baik.]]>
<![CDATA[Text-to-Speech Technology Development Using FastSpeech2 Algorithm for the Story of the Prophet ]]>
<![CDATA[Firdaus, Muhammad Raihan]]>;
<![CDATA[Firdaus, Muhammad Rihap]]>;
<![CDATA[Pasha, Pancadrya Yashoda]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 2 (2024): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i2.1099
<![CDATA[With the SDGs target point 4.6 for 2030, literacy is a very important thing to improve. With today's technological advancements, improving the accessibility of reading in the digital age is becoming increasingly important, especially for individuals with time constraints. Text-to-Speech (TTS) technology allows users to enjoy text content, such as books or journals, in audio format, which can be listened to while doing other activities. This research develops a TTS model based on the FastSpeech2 algorithm, a non-autoregressive deep learning architecture that utilizes Transformers to generate high-quality audio quickly and efficiently. The LJSpeech dataset, which consists of 13,100 audio chunks with a total duration of 24 hours, is used as the training base. The preprocessing process involves text normalization, audio feature extraction, and data synchronization, while evaluation is performed using objective metrics such as Mel Cepstral Distortion (MCD) and Pitch Error to ensure the quality of the results. The results show that FastSpeech2 can provide fast and accurate performance in generating synthesized voices, making it potential to be used in various audio literacy applications. A key application of this TTS technology is in narrating the stories of the Prophets, which are essential in Islamic teachings for imparting moral values, fostering spiritual connection, and offering timeless lessons. The results show that FastSpeech2 is able to produce high-quality audio quickly, making it an effective alternative for improving audio literacy and providing a solution for individuals with limited reading time.]]>
<![CDATA[Slang Spelling Detection in Indonesian Religious Content Using Sequence-to-Sequence Algorithm ]]>
<![CDATA[Nanda Tiara Sabina Hidayatulloh]]>;
<![CDATA[Nur Halizah]]>;
<![CDATA[Pitriani]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 2 (2024): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i2.1110
<![CDATA[Spelling errors are a common problem in text processing, one of which is in Indonesian. The increasing use of non-standard language, especially in digital text communication, is the background for this research. Spelling errors in sensitive religious content can even cause misunderstandings. This article examines the development of a model for spelling correction with a deep learning-based approach using Sequence-to-Sequence with a GRU-based encoder-decoder architecture and attention mechanism. A dataset containing standard and non-standard text pairs is used to test the model. The experimental results show that the proposed model produces 76.82% accuracy, but is able to recognize and correct spelling errors. However, this research is expected to contribute in the future, so that it can improve improvements in the Indonesian spelling correction system.]]>
<![CDATA[Sentiment Analysis of Marketplace Review with Islamic Perspective using Fine-Tuning DistilBERT ]]>
<![CDATA[Reza, Reza Fahlevi]]>;
<![CDATA[Muhmmad Thoriq]]>;
<![CDATA[Rd. Imam Saepul Millah]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 2 (2024): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
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DOI: 10.15575/kjrt.v2i2.1118
<![CDATA[E-commerce apps have become an important part of modern life, with user reviews playing a crucial role in assessing platform performance and identifying areas for improvement. This research aims to apply the Distilled Bidirectional Encoder Representations from Transformers (DistilBERT) model to analyze the sentiment contained in user reviews of Tokopedia and Shopee apps on the Google Play Store. Along with the rapid growth of e-commerce in Indonesia, platforms such as Tokopedia and Shopee have become an important component in facilitating fast and easy online transactions. User reviews on these platforms are a valuable source of information for evaluating customer satisfaction, but the increasing volume of reviews makes manual sentiment analysis inefficient. This research uses a dataset of Indonesian-language reviews on Tokopedia and Shopee Apps on Google Play Store to classify sentiments into positive and negative categories by utilizing DistilBERT, which is a lightweight variant of BERT with the ability to efficiently process large data without sacrificing accuracy. The results of this analysis provide insights that can assist e-commerce platforms in improving user experience as well as support data-driven decision-making for application development. This research contributes to the application of natural language processing (NLP) technology for sentiment analysis in the context of e-commerce in Indonesia.]]>
