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All Journal Advance Sustainable Science, Engineering and Technology (ASSET) Bisnis, Jasa dan Keuangan Journal of Moeslim Research Technik Lingeduca: Journal of Language and Education Studies International Journal of Educational Narratives
Vugar Abdullayev
Azerbaijan University of Architecture and Construction
Aerospace Engineering Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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ANALISIS KARAKTERISTIK WISATAWAN YANG DATANG BERKUNJUNG KE PANTAI GADING Dewi Husni; Vugar Abdullayev
Bisnis, Jasa dan Keuangan Vol. 1 No. 1 (2025): JANUARY--BISNIS, JASA DAN KEUANGAN
Publisher : Yayasan Cendekia Citra Gemilang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61798/ep1tkf64

Abstract

Dalam penelitian ini penulis menganalisis karakteristik wisatawan yang datang berkunjung ke lokasi objek wisata Pantai Gading, penelitian ini bertujuan untuk mengetahui karakteristik pengunjung berdasarkan jenis kelamin, usia, pendidikan, pekerjaan, pendapatan, status perkawinan, daerah asal serta faktor pendorong dan penarik wisatawan. Metode yang digunakan dalam penelitian ini adalah kuantitatif dengan menyebarkan kuesioner kepada wisatawan yang berkunjung ke Pantai Gading. Hasil penelitian yang di dapatkan berdasarkan karakteristik wisatawan yaitu yang pertama jenis kelamin, di dominasi oleh perempuan dengan persentase 70,6% sedang laki-laki hanya 29,4%. Untuk usia di dominasii oleh remaja akhir yaitu usia 20 (24,5%), 21 (23,5%) dan 22 (19,6%). Pendidikan di dominasi oleh Mahasiswa sebanyak 76,5%. Pada pekerjaan sebanyak 79,4% adalah mereka yang belum bekerja/mahasiswa. Begitu juga dengan pendapatan, rata-rata pengunjung Pantai Gading adalah mereka yang belum berpenghasilan sebanyak 79,4%. Para wisatawan juga di dominasi oleh mereka yang belum menikah yaitu sebanyak 92,2% dan daerah asal wisatwan yang berkunjung ke Pantai Gading adalah yang berasal dari luar kota mataram sebanyak 79,4%.
ALGORITHMIC SHARIA COMPLIANCE: A MACHINE LEARNING FRAMEWORK FOR AUTOMATED RISK ASSESSMENT AND SCREENING IN ISLAMIC FINTECH Nurul Ain Safrizon; Vugar Abdullayev
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.4129

Abstract

Rapid expansion of Islamic Financial Technology (Islamic FinTech) has increased the complexity of ensuring continuous Sharia compliance across digital financial products, investment services, and automated transactions. Conventional compliance assessment primarily depends on manual evaluation by Sharia scholars and supervisory boards, creating challenges related to scalability, consistency, operational efficiency, and timely risk identification. This study aimed to develop and evaluate a machine learning framework for automated Sharia compliance assessment and financial risk screening that integrates predictive intelligence with explainable and transparent decision support. A mixed-methods sequential explanatory research design was employed, combining quantitative analysis of 125,000 anonymized financial transaction records using supervised machine learning algorithms with qualitative evidence obtained from expert interviews, institutional document analysis, and regulatory validation. Comparative evaluation demonstrated that the proposed framework achieved high predictive performance, with XGBoost providing the highest classification accuracy while Explainable Artificial Intelligence techniques enhanced transparency through interpretable decision explanations. Qualitative findings confirmed that automated screening significantly reduced compliance review time, strengthened institutional consistency, and improved stakeholder confidence without replacing the essential role of Sharia scholars in complex jurisprudential decisions. Results indicate that algorithmic Sharia compliance functions most effectively as a human-centered decision-support framework integrating machine learning, Islamic jurisprudence, financial governance, and explainable artificial intelligence. Responsible implementation of this framework provides a scalable pathway toward trustworthy Islamic FinTech, enhanced regulatory accountability, and sustainable digital financial innovation.
Deep Learning-Based Classification of Cognitive Workload Using Functional Connectivity Features Vineeta Khemchandani; Alok Singh Chauhan; Shahnaz Fatima; Jalauk Singh Maurya; Abhay Singh Rathaur; Narendra Kumar Sharma; Daya Shankar Srivastava; Vugar Abdullayev
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2833

Abstract

Cognitive workload plays a vital role in tasks that demand dynamic decision-making, especially under high-risk and time-sensitive conditions. An excessive workload can lead to unexpected and disproportionate risks, whereas insufficient workload may cause disengagement, undermining task performance. This underscores the importance of maintaining an optimal level of mental focus in high-pressure situations to ensure successful task execution. This study leverages deep learning methods alongside functional connectivity measures to classify cognitive workload levels. Using the N-back EEG dataset, functional connectivity metrics such as Phase Locking Value (PLV), Phase Lagging Index (PLI), and Coherency are extracted after data pre-processing. These metrics, characterized as directed or non-directed, enable efficient computational analysis. A convolutional neural network (CNN) classifier is employed to categorize cognitive workload into three levels: low (0-back), medium (2-back), and high (3-back). The CNN-A architecture achieves peak performance with an accuracy of 93.75% using PLV, 87.5% using Coherency, and 68.75% using PLI.
TRANSFORMATION OF THE ARABIC LANGUAGE CURRICULUM IN MADRASAH FROM MINISTRY OF RELIGIOUS AFFAIRS REGULATIONS TO TEACHING MODULES: AN ANALYSIS OF CURRICULUM COMPONENT COHERENCE Melisa Rezi; Yasmadi Yasmadi; Rahmawati Rahmawati; Zulkifli Zulkifli; Vugar Abdullayev
Lingeduca: Journal of Language and Education Studies Vol. 5 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/lingeduca.v5i2.4127

Abstract

The transformation of the Arabic language curriculum in Islamic school (madrasah) is not determined solely by regulatory changes, but also by the extent to which these regulations can be translated into coherent teaching materials. This article aims to analyze the transformation of the Arabic language curriculum in madrasah from Ministry of Religious Affairs regulations into teaching modules, with particular emphasis on the coherence of objectives, content, learning processes, evaluation, and value integration. This study employed a qualitative approach using document analysis. The data were drawn from madrasah curriculum regulations, ranging from Permenag Nomor 2 Tahun 2008 to KMA Nomor 1503 Tahun 2025, as well as the Arabic language teaching module for Grade IX at MTsN 2 Payakumbuh. The data were analyzed through reduction, categorization, coherence mapping, and theoretical synthesis. The findings indicate that the Arabic language curriculum has shifted from a structural-grammatical orientation toward learning that is more communicative, contextual, value-based, reflective, and authentic. At the teaching module level, this transformation is reflected in the strengthening of learning outcomes, life-related themes, active learning activities, differentiation, projects, authentic assessment, Rahmatan lil ‘Alamin Student Profile, and Love-Based Curriculum. However, several parts of the module still show an administrative tendency, particularly in the formulation of objectives and assessment. These findings highlight the need to develop Arabic language teaching modules that not only fulfill administrative formats, but also strengthen the relationship among learning outcomes, materials, activities, assessment, and values, so that regulations are manifested as meaningful learning experiences.
THE USE OF WEBSITE-BASED LEARNING MEDIA TO IMPROVE THE READING SKILLS OF MADRASAH TSANAWIYAH STUDENTS Adam Mudinillah; Sri Nur Rahmi; Fitria Hanifah; Vugar Abdullayev
Lingeduca: Journal of Language and Education Studies Vol. 5 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/lingeduca.v5i1.4188

Abstract

Advances in technology and communication tools in education have developed rapidly and become increasingly sophisticated, so paper-based learning has increasingly been set aside in education. One example is the use of online learning through the development of a learning-media website using Google Sites that contains games, quizzes, engaging and innovative videos, and other features to support students’ success. This study aimed to create a learning-media website using Google Sites for reading skills. The study employed a quantitative method, and data were obtained from online interviews and online questionnaire distribution. The questionnaire was distributed to Madrasah Tsanawiyah students online by using Google Forms. The findings showed that the use of educational websites in the Education 5.0 era could benefit students, as demonstrated by improvements in various aspects of the four language skills. It can be concluded that the use of an appropriate website as a learning medium was attractive and innovative, as indicated by the finding that 80% of students obtained the highest scores. This study was limited because the research was conducted only online and not directly in the field. The researchers expect future researchers to examine other learning media. This study also recommends that future researchers use it as an additional reference when conducting research on language-learning websites.
From Awareness to Action: The Influence of Digital Tax Education and Tax Literacy on Behavioral Compliance Following Coretax Implementation in Indonesia Sylvia Marcellina; Agus Munandar; Vugar Abdullayev
International Journal of Educational Narratives Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v4i3.3749

Abstract

Background. Digital tax systems are increasingly expected not only to improve administrative efficiency but also to foster taxpayer learning and compliance. This issue is particularly relevant in Indonesia following the implementation of Coretax, a digital tax system designed to integrate tax services and strengthen compliance. However, the effectiveness of digital tax reform remains uncertain because technological adoption alone may not be sufficient to encourage compliant behavior without adequate tax literacy and taxpayer awareness. Previous studies have largely emphasized system performance and technology acceptance, while the educational and behavioral roles of digital tax systems remain underexplored. Purpose. This study examines the effects of tax literacy, taxpayer awareness, and Coretax implementation on behavioral tax compliance among individual taxpayers, with Coretax positioned as a digital learning platform that may support taxpayer understanding and compliance behavior. Method. A quantitative approach was employed involving 100 individual taxpayers registered at the Kalideres Primary Tax Office, Jakarta. Data were collected through structured questionnaires and analyzed using PLS-SEM. Results. Tax literacy and taxpayer awareness significantly and positively influence behavioral tax compliance, with taxpayer awareness emerging as the strongest predictor. Coretax implementation also has a significant positive effect, although its contribution is weaker than the educational and psychological factors. Conclusion. Digital tax systems can support behavioral tax compliance when complemented by adequate tax literacy and taxpayer awareness. This study contributes to the literature by positioning Coretax not only as an e-government system but also as a digital learning platform that links technological, educational, and behavioral dimensions of taxpayer compliance.
From Doubt to Drive: Students’ Lived Narratives of Motivation, Self-Regulated Learning, and Social Support as Pathways to Academic Success in Indonesian Senior High Schools M. Yusron Maulana El Yunusi; Didit Darmawan; Vugar Abdullayev
International Journal of Educational Narratives Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v4i4.3847

Abstract

Background. Academic achievement in Indonesian senior high schools is increasingly challenged by heightened competition, uneven access to digital learning resources, and variability in students’ psychological preparedness. Despite widespread implementation of digital tools and social support programs, there remains uncertainty regarding which factors most strongly influence student success in this rapidly changing educational landscape. Identifying the key predictors of academic performance is therefore critical to inform targeted interventions that can address both equity and effectiveness in student learning outcomes. Purpose. This study aims to examine the effect of learning motivation, academic self-efficacy, digital skills, self-regulated learning strategies, and academic social support on academic performance of public senior high school students in Surabaya. Method. The research method used was quantitative with an explanatory survey approach. The sample consisted of 387 public senior high school students in Surabaya selected using purposive sampling technique. Data collection was conducted through an online Likert-scale questionnaire distributed via Guidance and Counseling teachers for three days. The research instrument had been tested for validity and reliability with Cronbach’s Alpha values for each variable above 0.82. Data analysis technique used multiple linear regression with SPSS version 26. Results. Simultaneously, all five independent variables had a significant effect on academic performance, explaining 38.9% of the variance (R² = 0.389, p < 0.001). Partially, learning motivation (? = 0.27, p = 0.002), academic self-efficacy (? = 0.35, p < 0.001), and self-regulated learning strategies (? = 0.23, p = 0.005) had positive and significant effects on academic performance. Digital skills (? = 0.08, p = 0.124) and academic social support (? = 0.06, p = 0.187) did not significantly affect performance. Academic self-efficacy was the most dominant contributing factor. Conclusion. The findings indicate that students’ internal psychological factors, particularly academic self-efficacy and self-regulated learning strategies, are more strongly associated with academic performance than digital competence and social support. The study recommends interventions aimed at enhancing these internal factors to improve student academic outcomes.
Co-Authors Abhay Singh Rathaur Adam Mudinillah Agus Munandar Alok Singh Chauhan Daya Shankar Srivastava Dewi Husni Didit Darmawan Fitria Hanifah Jalauk Singh Maurya M. Yusron Maulana El Yunusi Melisa Rezi Narendra Kumar Sharma Nurul Ain Safrizon Rahmawati, Rahmawati Shahnaz Fatima Sri Nur Rahmi Sylvia Marcellina Vineeta Khemchandani Yasmadi Yasmadi Zulkifli Zulkifli