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All Journal E-Journal Of Cultural Studies Ulul Albab: Jurnal Studi Islam Jurnal technoscientia Seruni - Seminar Riset Unggulan Nasional Inoformatika dan Komputer Jurnal Ekonomi dan Bisnis Islam Economica: Jurnal Ekonomi Islam International Journal of Islamic Economics and Finance (IJIEF) ILKOM Jurnal Ilmiah Jurnal Notariil Jambura Journal of Sports Coaching Jurnal Jatiswara JURNAL TEKNOLOGI TECHNOSCIENTIA Journal of Technopreneurship on Economics and Business Review (JTEBR) Jurnal Pendidikan Jasmani (JPJ) Jurnal Pendidikan Pedagogos : Jurnal Pendidikan Jurnal Risalah Kenotariatan Private Law Islamiconomic: Jurnal Ekonomi Islam Jurnal Pengabdian dan Pengembangan Masyarakat Indonesia Jurnal Ilmiah Ilmu Terapan Universitas Jambi International Journal of Integrative Sciences Indonesian Research Journal on Education Global Education Journal Jurnal Ilmu Administrasi Negara Jurnal Pengabdian Dosen Republik Indonesia (JPDRI)
Mohammad Irfan
STMIK AMIKOM Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Pendampingan Peningkatan Ekonomi Masyarakat melalui Penataan Lingkungan Wisata Religi Kelurahan Sekarteja Irfan, Mohammad; Fathoni, Ahmad; Wardani, Iwan Usma; Ramli, Muhammad
Jurnal Pengabdian Dosen Republik Indonesia Vol. 2 No. 1 (2025): Jurnal Pengabdian Dosen Republik Indonesia
Publisher : Language Assistance

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Wisata ziarah kubur kedondong diresmikan pada tahun 2022 oleh masyarakat dan pemerintah keluarahan Sekarteja Kabupaten Lombok Timur Nusa Tenggara Barat. Wisata ziarah kubur kedondong termasuk wisata Religi yang ada di Kabupaten Lombok Timur. Seiring berjalannya waktu wisata ziarah kubur kedondong  memiliki pengunjung yang semakin meningkat. Dilihat dari buku daftar nama peziarah dipintu masuk wisata. Dengan adanya aktifitas ziarah kubur yang terus meningkat,  masyarakat sekitar wisata masih merasa kesulitan dalam pengelolaan karena kurangnya pengetahuan mengenai manajemen dan pengelolaan wisata yang akan mendukung terlaksananya pengelolaan pariwisata yang mumpuni. Oleh karena itu pemberian pelatihan dan edukasi tentang pengelolaan wisata kepada masyaraat sekitar wisata ziarah kubur kedondong, Sehingga masyarakat mengetahui penataan wisata yang baik. Kegiatan ini berupa pendampingan dalam bentuk penataan lahan wisata, pemenuhan fasilitas pengunjung (amenitis), dan penyediaan barang-barang yang dibutuhkan oleh para peziarah Ketika berziarah di kubur. Hasil dari kegiatan ini adalah 87% masyarakat  berhasil dalam meningkatkan perekonomian dari wisata budaya yang dikelola.
REACTION OF ISLAMIC STOCK MARKET TO MACROECONOMIC VARIABLES: A STUDY OF INDIA AND INDONESIA Irfan, Mohammad; Kassim, Salina; Dhimmar, Sonali; Zahid, Mohd; Fuadi, Nasrul Fahmi Zaki
Jurnal Ekonomi dan Bisnis Islam (Journal of Islamic Economics and Business) Vol. 7 No. 1 (2021): JANUARY-JUNE 2021
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jebis.v7i1.25921

Abstract

India and Indonesia are among the world-largest democracies, having a strong international presence through involvement in various economic and intergovernmental organizations such as in the E7 countries and G20 countries groups. This study aims to identify the impact of macroeconomic variables on the Islamic stock markets of India and Indonesia. Two Islamic stock market indices are considered: the Indian Bombay Stock Exchange (BSE) Shariah Index and the Indonesian Jakarta Islamic Index (JII). At the same time, the macroeconomic variables are foreign direct investment (FDI), import, export, gross domestic product (GDP), broad money (M3), and exchange rate (ER). The study adopts panel regression analysis on yearly data covering the period from 2011 to 2020. The pooled OLS regression model, fixed effect regression model (FEM), and random effect regression model (REM) have been employed. With the REM model being suggested as the most suitable model through the Hausman test, the results suggest that FDI, export, GDP, and ER have shown positive and statistically significant influence on both the BSE Shariah and JII. It is also shown that the macroeconomic variables of India and Indonesia are heterogeneities in nature and having mean distribution effects. The study's findings suggest that increasing the possibilities of bilateral trade and investment in the sectors such as health and pharmaceuticals, automotive components, information technology, agro products, and tourism between India and Indonesia will go a long way. It is expediting greater economic activities among these two countries.
EXPLORING ISLAMIC FINTECH: A BIBLIOMETRIC APPROACH Irfan, Mohammad; Rusmita, Sylva Alif
Jurnal Ekonomi dan Bisnis Islam (Journal of Islamic Economics and Business) Vol. 9 No. 1 (2023): JANUARY-JUNE 2023
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jebis.v9i1.45713

Abstract

Introduction: In recent years, Islamic Fintech and bibliometric analysis in general have drawn more attention in the finance literature. In this study, all papers indexed in the Dimensions database that cover the wide topic of Fintech and Islamic Fintech from 2017 to 2023 are examined using bibliometric analytical tools.  Methods: The authors discovered 675 papers that met the set function, subject, and criteria requirements. The papers' publishing by knowledge area, annual study output, national contribution, author count, and most prestigious journals were all analysed. The co-occurrence of keywords and document citations was visually analysed using the VOS viewer. Filter the data set from "Islamic Fintech” or "Bibliometric Analysis” or "Literature Reviews”, and concluding the research on the 76 final publications. Results: According to the findings, the dimensions database includes depicts the second search on the keyword of "Islamic Fintech” or "Bibliometric Analysis”, than research found 97 publication from the different filed like, 51 publication form the articles, 19 publication from the edited book, 15 publication form the chapters, 7 publication form the preprint, 4 from proceedings, and 1 from the monograph. Research limitations/implications : The bibliometric analysis carried out was confined to Dimensions data. Other national and international databases were not taken into account for this research. Conclusion and suggestion: Between 2017 and 2023, this study examined relevant studies on bibliometric analysis of Islamic Fintech Publication. The study presents a concise review of the literature accessible to researchers working in this area and provides recommendations for future research.
Smart Verification of High School Student Reports Using Optical Character Recognition and BERT Models Syahyadi, Asep Indra; Afif, Nur; Yusuf, Ahmad; Setiaji, Haris; Ridwang, Ridwang; Irfan, Mohammad
ILKOM Jurnal Ilmiah Vol 17, No 3 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i3.2764.252-261

Abstract

This study proposes an intelligent framework for verifying high school report cards with diverse layouts by integrating Optical Character Recognition (OCR) and a fine-tuned BERT model. While previous works primarily address document formats with uniform structures, this research specifically tackles the heterogeneity of report cards that differ in subject arrangement, naming conventions, and grade presentation across schools. The system was trained and evaluated using 1,000 Indonesian high school report card pages encompassing 20 subjects, both core (e.g., Mathematics, Indonesian History, Religious Education) and non-core (e.g., Arts and Culture, Physical Education). OCR was employed to extract textual content from scanned or image-based report cards, while BERT handled contextual mapping between subjects and corresponding grades. The dataset was divided into 80% for training and 20% for validation, and the model was fine-tuned on the IndoBERT-base architecture. Experimental results showed that the proposed OCR–BERT pipeline achieved an average accuracy of 97.7%, with per-subject accuracies ranging from 96% to 99%. The model exhibited high robustness in handling inconsistent layouts and minimizing deviations between actual and detected grades. Comparative analysis indicated that this hybrid approach outperforms traditional OCR-only or CNN-based methods, which are typically constrained by fixed template assumptions and lack contextual understanding. The proposed system demonstrates practical relevance for large-scale admission platforms such as SPAN-PTKIN, where manual verification of thousands of report cards is laborious and error-prone. By automating the verification process, the framework reduces human workload, enhances accuracy, and supports fairer, data-driven admission decisions. Future research will explore multimodal integration of textual and visual features, expansion to broader datasets, and application to other academic documents such as transcripts and diplomas. Overall, this work contributes a scalable, accurate, and context-aware solution for educational data verification in heterogeneous document environments.
Co-Authors Abey, Joji AFIF, NUR Ahmad Fathoni Ahmad Yusuf Aminuyati Andharini Dwi Cahyani Any Suryani Ashad, M. Asy'ari, Hasan Asy’ari, Hasan Chowdhury, Shah Saeed Hassan Dhimmar, Sonali Diangsa Wagian, Diangsa Eko Tama Putra Saratian Fahima, Al Rizal Zam Zam Fathony, M. Yazid Fuadi, Nasrul Fahmi Zaki Hamzah, Any Suryani Husnurrosyidah, Husnurrosyidah Jems, Jems Khabibah, Ani Nur Kuncoro Darumoyo Maulana, Moh Teguh Maulita, Miftahul Muhammad Ramli Nomran, Naji Mansour Nur Fatoni, Nur R, Fika Hastarita R, Fika Hastarita Ratno Agriyanto Ridwang Ridwang, Ridwang Rusmita, Sylva Alif Salina Kassim Setiaji, Haris Shaikh, Zakir Hossen Shinta Andriyani Sitti Chaeriah Ahsan Subhan Subhan SYAHYADI, ASEP INDRA Taufiq Eka Riandhana Usman Ahmad Wili, Neysha Sarita Wiranto, Rafik Wiwiek Wahyuningsih Wiwik Handayani Yusuf Panjiantariksa Zahid, Mohd