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[The Influence of Transformational Education Prediction on Softskills of Madrasa Student using Data Mining ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 1 (2023): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i1.157
<![CDATA[Currently, transformative education is oriented towards students' independence in solving a problem they face. In other words, transformative education has its own influence on the soft skills of students. This research was conducted with the aim of providing predictions regarding the effect of transformative education on the soft skills possessed by students. The subjects in this study were students of Madrasah Aliyah Negeri 2 Bandung, ranging from grade 10 to grade 12. The research method used was the Naïve Bayes and K-Nearest Neighbor algorithm by taking datasets from an independent survey that had been carried out previously. The Naïve Bayes and K-Nearest Neighbor algorithms themself are included in supervised learning and can be used to predict with a high degree of accuracy. Supervised learning is one of the existing methods in machine learning by means of labeling the data trained by the machine. Testing the data using the Naïve Bayes and K-Nearest Neighbor algorithm obtains predictions that transformative education affects students' soft skills and produces a very high level of accuracy for the Naïve Bayes algorithm, namely 98% of the 100 existing datasets and accuracy of the K-Nearest Neighbor is 76,67%.]]>
<![CDATA[Comparison of the Fisher-Yates Shuffle and the Linear Congruent Algorithm for Randomizing Questions in Nahwu Learning Multimedia ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 1 (2023): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i1.159
<![CDATA[Nahwu Quiz is a basic Arabic learning application that can be played by the public over the age of 12 years. In the question practice menu, there are questions and 4 multiple choice questions. The user only needs to choose one of the multiple choices that the user thinks is correct/matches the question at hand. In one game, there are 5 questions. After answering all these questions, you will immediately see the score. The purpose of developing this application apart from being a medium of entertainment as well as a medium of learning and memory training for game users (users). To make this Nahwu Quiz application, the authors use the Fisher Yates Shuffle (FYS) algorithm which is used to perform the randomization function in multiple choice and the Linear Congruent Method (LCM) algorithm as a comparison. White box and black box testing were applied to see the feasibility of the program and to obtain efficiency in the comparison of randomization methods. The results of white box and black box testing on the application show that the application is feasible. with reference to the white box test results that the FYS algorithm and the LCM have the same complexity as the result of cyclomatic complexity = 2.]]>
<![CDATA[Welfare Classification of Muslim Majority Communities using Decision Tree Algorithm ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 1 (2023): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i1.160
<![CDATA[Community welfare is a benchmark of various conditions that can represent a quality community life. It is undeniable that welfare in a comprehensive sense can be realized if certain economic conditions can be achieved, one of which is prosperity. Economic freedom is a framework in which principles compatible with the ideals of prosperity are implemented in economic institutions and processes. Important components in economic freedom such as size of government, legal system and property rights, sound money, freedom to trade internationally, and regulation have a significant influence on the welfare of the people of a country. This study aims to examine the effect of economic freedom on the welfare of the people in several countries with the Muslim majority population. By using unsupervised learning methods and decision tree algorithms in the classification, the experiment result found that 35% of countries with a majority Muslim population in the world were classified as Moderately Free.]]>
<![CDATA[The Influence of the Use of Social Media on the Intensity of Worshipping the Millenial Generation using Linear Regression ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 1 (2023): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i1.161
<![CDATA[Worship is an activity carried out by every religious community. Sometimes there are activities that can interfere with worship activities, especially in the current era of globalization. In the current era of globalization, many people use their smartphones or gadgets for their daily needs. The millennial generation is one of the generations that has begun to be introduced to this gadget or smartphone, so that many of these millennial generations cannot be separated from what is called social media. During the COVID-19 pandemic, almost all our daily time is used to view social media. The purpose of this study was to see the effect of using social media on the intensity of worship of the millennial generation. The method used to assist this research is to use linear regression. The result of this research shows that the use of gadgets for a long time is accompanied by an extraordinary intensity of worship. This research also concludes that there is no influence given using social media on the intensity of worship of the millennial generation.]]>
<![CDATA[Maintaining Religious Harmony through Predicting the Level of Lawlessness using Linear Regression ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 1 (2023): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i1.162
<![CDATA[Crimes are basically committed due to low human faith and ultimately disrupt harmony, including inter-religious harmony. Therefore, the purpose of this study is to predict and determine the number of law violations that occurred in Yogyakarta Province in 2022 as a case study using a linear regression algorithm based on data ranging from 2012 to some of the data on law violations in 2022. The method used is the forecasting method in which the stages of data collection, data preprocessing, data modeling, and prediction processes are carried out. The accuracy of the linear regression model is 90%. However, there is a difference in accuracy between the training data and the test data. The training data gets an accuracy of 99% while the accuracy achieved by the test data is at 94% which is 5% lower than the training data. The prediction results using the linear regression model shows the number of the data on law violation that will occur in 2022 with correlation between crimes.]]>
<![CDATA[Optimizing Qur'an Recitation Monitoring with Random Forest Algorithm ]]>
<![CDATA[Wijayana, Ivan]]>;
<![CDATA[Ardiansyah, Muhammad]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 2 No. 1 (2024): June ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v2i1.227
<![CDATA[Every Muslim should improve their worship, including reciting the Al-Qur'an. Reciting the Al-Qur'an is a deep spiritual practice that provides spiritual benefits and blessings daily. To maximize the benefits of reciting Al-Qur'an during this holy month, implementing Machine Learning can make a significant contribution. This research explores the application of Machine Learning using the Random Forest algorithm to improve the practice of reciting the Al-Qur'an. By collecting data through surveys using questionnaires, this research identifies important factors that influence an individual's success in completing reading the Al-Qur'an. The research results show that the Random Forest algorithm can be used to predict the number of individuals who have the potential to complete reciting Al-Qur'an with an accuracy value of 80%.]]>
<![CDATA[Convolutional Neural Network (CNN) for Detecting Al-Qur'an Reciting and Memorizing ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 2 (2023): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i2.235
<![CDATA[This research aims to make it easier to memorize the Koran without having to need other people. Memorizers of the Koran (hafiz) often need other people to memorize them to find out if there are errors in their reading. Therefore, this research utilizes machine learning technology to make it easier to read and memorize the Al-Qur'an using the Convolutional Neural Network (CNN) algorithm. CNN was chosen because it is very good at classifying images and audio and can learn and extract features from raw data, such as image and audio data automatically. As a result, the model created succeeded in distinguishing one verse from another very well. The validation results show that the model can correctly detect 57 verses from 64 recorded data, which means it has an accuracy rate of 89.06%. With this verse classification model, it can then be implemented into an application to help memorize the Al-Qur'an even without using the internet.]]>
<![CDATA[A Determining the Law of Reading Tajweed (Idgham Qomariyah and Syamsiyah) in the Qur'an Using the Naïve Bayes Algorithm: paper ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 2 (2023): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i2.287
<![CDATA[Learning tajweed to recite the Qur’an is important. Because if there is a mispronunciation, the meaning will be different. This research aims to detect two of the many tajweed, namely idghom qomariyah and syamsiyah using machine learning technology with a classification approach. This research uses the Naive Bayes algorithm to classify idghom qomariyah and syamsiyah in Al-Quran text documents. Based on experimental results using 82,173 text data, Naive Bayes was able to classify idgham qomariyah and syamsiyah with an accuracy rate of 96,80%.]]>
<![CDATA[Prediction of Skin Diseases using Convolutional Neural Networks as an Effort to Prevent Their Spread in Islamic Boarding School Environments ]]>
<![CDATA[Agustin, Ilham Rizky]]>;
<![CDATA[Putra, Muhammad Bayu Nurdiansyah]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 2 (2023): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i2.296
<![CDATA[Skin disease is a common health problem in Islamic boarding school environments. This disease can spread quickly among students due to close contact and sharing the same facilities. Preventing the spread of skin diseases is a top priority in efforts to maintain the health and welfare of students in Islamic boarding schools. In this research, we propose the use of machine learning techniques to predict skin diseases in Islamic boarding school students. The main goal of this research is to develop a predictive model that can help identify skin diseases quickly and accurately. It is hoped that this will enable the prevention of the spread of skin diseases in the Islamic boarding school environment. The method used in this research involves the following steps: skin disease image data collection, data processing and cleaning, feature extraction from patient data, and machine learning model training and evaluation. We will use a Convolutional Neural Network (CNN) machine learning algorithm to build a predictive model. The dataset used in this research consists of images of melanoma, acne and acne skin diseases. In addition, validation will be carried out using data that has never been seen before to test the performance of the predictive model. It is hoped that the results of this research can make a significant contribution in preventing the spread of skin diseases in the Islamic boarding school environment. With accurate predictive models, health workers in Islamic boarding schools can take appropriate preventive measures to control skin diseases effectively. Apart from that, this research can also be a basis for developing a health information system that supports preventive measures for skin diseases in Islamic boarding schools more widely.]]>
<![CDATA[Deux ex Machina (“ God From the Machine”): Exploring Digital Worship in the Salvation Ministries, Port Harcourt, Nigeria ]]>
<![CDATA[ Khazanah Journal of Religion and Technology Vol. 1 No. 2 (2023): December ]]>
Publisher : <![CDATA[UIN Sunan Gunung Djati Bandung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.15575/kjrt.v1i2.350
<![CDATA[This paper presents a sociological exploration of the digital worship practices of the Salvation Ministries in Port Harcourt. It investigates the impact of technology on the members’ and how it engages their relationship with the Divine. Utilizing qualitative research, including interviews with members and analysis of online reviews, the study examines the role of digital worship in fostering relationships between members and the divine. It employs the Media and Technological Determinism theories to examine this relationship in depth. The paper also examines the implications of the emergence of the “God from Machine” in worship services, arguing that worshippers are constructing a new type of connection that transforms their religious experiences. The findings demonstrate that digital worship has significantly expanded the reach of Salvation Ministries beyond its physical boundaries. Virtual sermons and prayer sessions have strengthened the sense of community among members, facilitating easier connections with leaders and fellow worshippers. However, caution is advised regarding the potential risks of excessive reliance on technology, diminished personal interaction, and substituting genuine spiritual experiences. In conclusion, the paper emphasizes the importance of balancing embracing technology and preserving the authenticity and sincerity of spiritual practices.]]>
