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This Author published in this journals
All Journal Jurnal Masyarakat Madani Indonesia West Science Interdisciplinary Studies West Science Interdisciplinary Studies West Science Social and Humanities Studies The Eastasouth Journal of Information System and Computer Science
Adih Supriadi
Fakultas Ekonomi dan Bisnis, Universitas Sultan Ageng Tirtayasa
Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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 1 
The Effect of Debt Management, Budgeting Policy, and Green Investment on Financial Growth of Information Technology Companies in West Java Loso Judijanto; Adih Supriadi; Tera Lesmana
West Science Social and Humanities Studies Vol. 2 No. 09 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i09.1279

Abstract

The study investigates the effect of debt management, budgeting policy, and green investment on the financial growth of information technology companies in West Java. Utilizing a quantitative approach, the research collected data from 190 IT companies using a Likert scale questionnaire (1-5), analyzing the results through Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings highlight the significant impact of effective debt management and sound budgeting policies in promoting financial growth. Additionally, green investment initiatives play a crucial role in enhancing the sustainability and long-term profitability of these companies. The study provides valuable insights for IT companies seeking to balance financial stability and environmental responsibility.
Pendampingan Sertifikasi Halal UMKM Di Desa Cikiruhwetan Cikeusik Pandeglang Adih Supriadi; Titis Nistia Sari; Muhammad Abduh
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/qxqv9568

Abstract

Tujuan kegiatan pendampingan ini yaitu untuk meningkatkan pengetahuan masyarakat tentang proses produk halal pada usaha dan menghasilkan para pelaku usaha yang memiliki sertifikasi halal pada produk usahanya khusunya UMKM yang ada di Cikiruhwetan Cikeusik Pandeglang. Metode yang dilakukan yaitu pendekatan Participatory Action Research (PAR), yakni pendekatan yang memiliki tujuan untuk memberikan pembelajaran dan mengatasi masalah, serta memenuhi kebutuhan praktis masyarakat dengan memadukan ilmu pengetahuan dan perubahan sosial pada masyarakat. Pendekatan ini dianggap relevan dengan pengabdian yang akan dilakukan karena memiliki muatan untuk membangkitkan kesadaran kritis secara kolektif, khususnya dalam mempresentasikan konsep ekonomi halal dalam rutinitas ekonomi sehari-hari. Peserta pendampingan yaitu kelompok UMKM Baso Ikan dan UMKM Kerupuk Intip, ada 2 (dua) UMKM yang tuntas hingga tahapan akhir, dengan periode pendampingan selama 6 (enam) bulan atau hingga Sertifikat Halal yang diajukan diterima/keluar. Dari aktivitas pendampingan yang telah dilakukan ada dua perwakilan UMKM yang sampai ke tahap akhir serta telah menerima STTD dari BPJPH, dan menunggu sertifikat halal yang diajukan keluar/terbit
Bibliometric Analysis of Fraud Detection in the Fintech Sector Loso Judijanto; Adih Supriadi
West Science Interdisciplinary Studies Vol. 4 No. 05 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i05.2909

Abstract

The rapid growth of financial technology (fintech) has transformed the delivery of financial services while simultaneously increasing exposure to various forms of digital fraud and cybersecurity threats. As fintech platforms continue to expand globally, fraud detection has emerged as a critical research area aimed at enhancing the security, reliability, and sustainability of digital financial ecosystems. This study conducts a bibliometric analysis to examine the intellectual structure, research trends, influential publications, and collaborative networks within the field of fraud detection in the fintech sector. Bibliographic data were collected from the Scopus database and analyzed using VOSviewer to visualize keyword co-occurrence, author collaboration, institutional collaboration, country collaboration, overlay visualization, and density mapping. The findings reveal that fintech serves as the central theme connecting major research areas such as fraud detection, artificial intelligence, machine learning, cybersecurity, blockchain, and risk management. Keyword analysis indicates that artificial intelligence and machine learning have become dominant technological approaches for detecting and preventing fraudulent activities in digital financial services. Overlay visualization demonstrates a shift from traditional concerns related to cybercrime, regulatory compliance, and financial risk management toward emerging topics such as blockchain security, financial inclusion, and AI-driven fraud detection systems. Citation analysis identifies studies on artificial intelligence, fintech security frameworks, and cybersecurity as the most influential contributions to the field. Furthermore, collaboration analysis shows that research activities are concentrated within a limited number of author groups, institutions, and countries, with India emerging as the leading contributor to international collaboration.
Bibliometric Analysis of Fraud Detection in the Fintech Sector Loso Judijanto; Adih Supriadi
West Science Interdisciplinary Studies Vol. 4 No. 05 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i05.2909

Abstract

The rapid growth of financial technology (fintech) has transformed the delivery of financial services while simultaneously increasing exposure to various forms of digital fraud and cybersecurity threats. As fintech platforms continue to expand globally, fraud detection has emerged as a critical research area aimed at enhancing the security, reliability, and sustainability of digital financial ecosystems. This study conducts a bibliometric analysis to examine the intellectual structure, research trends, influential publications, and collaborative networks within the field of fraud detection in the fintech sector. Bibliographic data were collected from the Scopus database and analyzed using VOSviewer to visualize keyword co-occurrence, author collaboration, institutional collaboration, country collaboration, overlay visualization, and density mapping. The findings reveal that fintech serves as the central theme connecting major research areas such as fraud detection, artificial intelligence, machine learning, cybersecurity, blockchain, and risk management. Keyword analysis indicates that artificial intelligence and machine learning have become dominant technological approaches for detecting and preventing fraudulent activities in digital financial services. Overlay visualization demonstrates a shift from traditional concerns related to cybercrime, regulatory compliance, and financial risk management toward emerging topics such as blockchain security, financial inclusion, and AI-driven fraud detection systems. Citation analysis identifies studies on artificial intelligence, fintech security frameworks, and cybersecurity as the most influential contributions to the field. Furthermore, collaboration analysis shows that research activities are concentrated within a limited number of author groups, institutions, and countries, with India emerging as the leading contributor to international collaboration.
Data Privacy Concerns and User Trust in Indonesia’s Fintech Ecosystem Apriyanto Apriyanto; Adih Supriadi
The Eastasouth Journal of Information System and Computer Science Vol. 4 No. 01 (2026): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v4i01.1205

Abstract

The rapid expansion of the financial technology (fintech) ecosystem in Indonesia has transformed the delivery of financial services by improving accessibility, efficiency, and convenience. However, increasing reliance on digital financial platforms has also raised concerns regarding personal data protection, application usability, and user confidence. This study aims to examine the influence of data privacy issues and application usability on user trust within the Indonesian fintech ecosystem. A quantitative research approach was employed using survey data collected from 125 fintech users in Indonesia through a structured questionnaire measured with a five-point Likert scale. The collected data were analyzed using Statistical Package for the Social Sciences (SPSS) version 25, including validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, t-test, F-test, and coefficient of determination analysis. The findings indicate that both data privacy issues and application usability have a positive and significant effect on user trust. The regression results demonstrate that application usability has a stronger influence on user trust compared with data privacy protection, indicating that user experience, ease of interaction, and system reliability are critical factors in building confidence toward fintech services. Furthermore, the model explains 58.7% of the variance in user trust, confirming that privacy management and usability are important determinants of fintech acceptance and continued usage. This study highlights the importance for fintech providers to integrate robust data protection mechanisms with user-centered application design to develop secure, reliable, and sustainable digital financial services in Indonesia.
Co-Authors Apriyanto Apriyanto Loso Judijanto Muhammad Abduh Tera Lesmana Titis Nistia Sari