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Integration of Sufism and Transpersonal Psychology

This research explores the valuable intersections and synergies between Sufism and transpersonal psychology, focusing on how these two disciplines can provide deep insights and solutions to social and individual challenges in the modern era. Facing an identity crisis, existential anxiety, and an increasingly...

Scientific Quranic Exegesis in Indonesia: Contributions by Scholars, Institutions, and the Government

This paper investigates the impact of Islam's relationship with science on the Quranic interpretations given by Indonesian scholars. The discussion goes further to conclude their epistemology and approaches. It continues by examining the government's role in providing a scientific Quranic exegesis and several...

Developing Creative Writing Process Based on the Translation of Arabic Phrases: Case Study in Arabic Prose and Poetry

This study discusses whether the comprehensive understanding on Arabic phrases have significant role in the process of creative writing development or not. By referring to the two basic genres of creative writing, Arabic literature covers prose and poetry in which their translations are easier if they are con...

AN IN-DEPTH ANALYSIS OF AL FARUQI'S THEORY OF ISLAMIZATION OF KNOWLEDGE: A PERSPECTIVE FROM THOMAS KUHN'S PARADIGM SHIFT THEORY

The discourse of Islamization of Knowledge proposed by Ismail Raji al Faruqi (d. 1986), which essentially seeks a paradigm shift from modern science to Islamic science, is increasingly interesting with more evidence being studied, either with an applied model, a comparison, or a critical one. In addition, the...

Enhancing LiDAR-Based Object Recognition Through a Novel Denoising and Modified GDANet Framework

Object recognition in Point Cloud data from LiDAR sensors often faces challenges like noise, clutter, and ground interference, significantly affecting tasks such as segmentation, classification, and detection. To address these issues, we introduced a framework comprising a denoiser and a classifier, enhancing...

Detecting Students' Behavior on the E-Learning System Using SVM Kernels-Based Ensemble Learning Algorithm.

The corona pandemic has changed learning methods from face-to-face to online. However, the application of online learning creates difficulties for teachers in monitoring student behavior because of the reduced direct interaction. This problem causes the learning process to be less optimal. Moreover, students...

Al-Qur'an-Based Paradigm in Science Integration at The Al-aqur'an Science University, Indonesia

The discourse on the integration of science and Islam is being realised through the establishment of various Islamic religious universities in Indonesia. One of the Islamic universities that accommodates this discourse is the Al-Qur’an Science University, Central Java, Indonesia (UNSIQ). This study aims to ex...

Toward Theology of Science: Philosophical Reflection On The Development Of Religion-Based Science

The relationship between science and religion is one of the issues that has not been resolved completely until now. Although some universities in Indonesia and even Malaysia have developed academic traditions with the paradigm of integration of science, they still leave a fundamental problem related to aspect...

Arrhythmia Foetus Heartbeat Detection Using Optimized Neural Network Based on Phonocardiograph Ensemble Feature and Principal Component Analysis

High-risk maternal health condition is alarming, especially in developing countries. Intensive monitoring is mandatory to prevent such issue. However, the long-term invasive method to pregnant women harms both the baby and the mother. In this research, we proposed a cost-efficient non-invasive foetal heartbea...

Implementation of Extreme Learning Machine to Predict Distribution Power Transformer Lifetime

The estimated remaining life of transformers is the most critical factor in maintaining service continuity and quality assurance in distributing electrical energy to customers. Therefore, an accurate approach is needed to predict the remaining life of a distribution power transformer. In this paper, an approa...

Introduction of Na in Reduced Graphene Oxide Prepared from Coconut Shells and Its Magnetic Propertie

Improvement of Tradition Dance Classification Process Using Video Vision Transformer based on Tubelet Embedding

Image processing has extensively addressed object detection, classification, clustering, and segmentation challenges. At the same time, the use of computers associated with complex video datasets spurred various strategies to classify videos automatically, particularly in detecting traditional dances. This re...

AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning

Islamic Religious Education Curriculum Implementation Model to Improve the Quality of Islamic Boarding School Graduates

Translating paradoseis: 2 Thessalonians 2:15, the Smith–Van Dyck Arabic Bible and Protestant hermeneutics in the 19th century Greater Syria