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All Journal Journal of Economic, Bussines and Accounting (COSTING) IKRA-ITH EKONOMIKA Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Jurnal Mantik Jurnal Terapan Ilmu Ekonomi Manajemen dan Bisnis (JTIEMB) Jurnal Ilmiah Wahana Pendidikan International Journal of Educational Review, Law And Social Sciences (IJERLAS) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Jurnal Akuntansi dan Keuangan International Journal of Applied Business and International Management Journal of Artificial Intelligence and Digital Business PESHUM Harmoni Economics: International Journal of Economics and Accounting
Sambas Ade Kesuma
Universitas Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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MEASURING MARKETPLACE SUCCESS APPROACH DELONE & MCLEAN IS SUCCESS MODEL: A STUDY AMONG STUDENTS Sambas Ade Kesuma; Eunike Kristina Sinuhaji; Risanty Risanty; Fauziah Kumalasari
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 7 (2026): JUNE
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.22163142

Abstract

This study aims to analyze the success of marketplace applications using the Delone & McLean model for undergraduate students of Accounting, Faculty of Economics and Business, University of North Sumatra. The variables used are system quality, information quality, and service quality, which are related to the success of marketplace applications, as measured by user satisfaction. This study used a quantitative method with data from 301 respondents analyzed using multiple linear regression. The results showed that simultaneously and partially, all three variables had a positive and significant effect on the success of marketplace applications. This indicates that improving system quality, information quality, and service quality can increase user satisfaction.
THE INFLUENCE OF PERFORMANCE EXPECTATIONS, BUSINESS EXPECTATIONS, SOCIAL INFLUENCE, AND CONDITIONS THAT FACILITATE PAYMENT INTEREST NON-CASH Faza Hakimul Adli; Sambas Ade Kesuma; Risanty Risanty; Taufik Akbar Parluhutan
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 9 (2026): AUGUST
Publisher : RADJA PUBLIKA

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

Abstract

This study aims to find out and analyze the influence of performance expectations, business expectations, social influences, and facilitating conditions on the interest in non-cash payments both partially and simultaneously in students of Universitas Muslim Nusantara Al-Washliyah. The population in this study includes 4554 active students for the 2025/2026 academic year at the Muslim University of Nusantara Al Washliyah and a research sample of 445 respondents. In this study, data was collected through questionnaires. The results of the study show that performance expectations, business expectations, social influences and facilitating conditions have a significant positive effect on the interest in partial non-cash payments. Simultaneously, performance expectations, business expectations, social influences and facilitating conditions affect the interest in non-cash payments in students of Universitas Muslim Nusantara Al-Washliyah
THE INFLUENCE OF PERFORMANCE EXPECTATIONS, BUSINESS EXPECTATIONS, SOCIAL INFLUENCE, AND CONDITIONS THAT FACILITATE PAYMENT INTEREST NON CASH Faza Hakimul Adli; Sambas Ade Kesuma; Risanty Risanty; Taufik Akbar Parluhutan
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 9 (2026): AUGUST
Publisher : RADJA PUBLIKA

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

Abstract

This study aims to find out and analyze the influence of performance expectations, business expectations, social influences, and facilitating conditions on the interest in non-cash payments both partially and simultaneously in students of Universitas Muslim Nusantara Al-Washliyah. The population in this study includes 4554 active students for the 2025/2026 academic year at the Muslim University of Nusantara Al Washliyah and a research sample of 445 respondents. In this study, data was collected through questionnaires. The results of the study show that performance expectations, business expectations, social influences and facilitating conditions have a significant positive effect on the interest in partial non-cash payments. Simultaneously, performance expectations, business expectations, social influences and facilitating conditions affect the interest in non-cash payments in students of Universitas Muslim Nusantara Al-Washliyah
ARTIFICIAL INTELLIGENCE, BIG DATA, AND BLOCKCHAIN TECHNOLOGIES IN FINANCIAL FRAUD DETECTION: A SYSTEMATIC LITERATURE REVIEW Nelly Reinalda Sidabutar; Sambas Ade Kesuma; Fahmi Natigor Nasution; Keulana Erwin
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 6 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/8t605p38

Abstract

Financial fraud has become one of the most critical challenges in the modern digital economy, particularly with the rapid expansion of e-commerce, mobile payments, and online financial transactions. Artificial Intelligence (AI), Big Data Analytics (BDA), and Blockchain technology have emerged as transformative tools for enhancing fraud detection, prevention, and mitigation. This systematic literature review (SLR) aims to synthesize the state-of-the-art academic research on how these technologies contribute to identifying, predicting, and controlling fraudulent activities in financial systems. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, twenty-three peer-reviewed studies published between 2019 and 2025 were analyst based on their theoretical frameworks, methodological designs, and empirical findings. The results reveal three main technological convergence trends: (1) the integration of AI and BDA for pattern recognition and anomaly detection; (2) the use of Blockchain for decentralized data security and auditability; and (3) the hybridization of AI–Blockchain–Big Data for real-time fraud prevention. The review also identifies current challenges, such as data privacy concerns, model interpretability, and the scalability of analytical frameworks. This study contributes to the literature by providing a holistic view of technological evolution in financial fraud detection, highlighting key gaps, and proposing a future research agenda for more transparent, adaptive, and intelligent financial ecosystems.
Prospect Theory Across Disciplines: A Systematic Literature Review Azra Devrany Putri Marzuki; Sambas Ade Kesuma
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.3995

Abstract

Prospect theory is a theory proposed by Kahneman and Tversky. This theory was first developed in 1979. Prospect theory explains how humans behave when making decisions under risk and uncertainty. The initial concept of this theory was originally developed in the fields of behavioral economics and psychology. However, as the model and understanding of prospect theory have developed, it is expected that this theory can be used in other fields. This Systematic Literature Review was created to analyze the current development of prospect theory and how it has developed in research across various fields. The literature data used in this Systematic Literature Review was taken directly from open access journals in Scopus. The data was then extracted and categorized into several sections for analysis. The main category analyzed was the subject area of the selected articles. In addition, other categories such as the year of publication, region, and research methodology were also used. In the categorization, various other theories and models that are often integrated with prospect theory were also found. The results of the analysis show that prospect theory has undergone developments in its understanding and application and has been used for research in fields other than behavioral economics and psychology.
Co-Authors Aidecya Nesya Goldyatamy Dalimunthe Azra Devrany Putri Marzuki Chyntia Afifah Diah Utami Kusuma Wardani Emy Aurelia Ginting Eunike Kristina Sinuhaji Evita Christina Zeffanya P Fahmi Natigor Nasution Fauziah Kumalasari Faza Hakimul Adli Febriana Roosmawati Firman Syarif Gracea Jasmine Br Pandia Iskandar Muda Iskandar Muda Damanik Keulana Erwin Maulana Siregar Nasution, Abdillah Arif Nelly Reinalda Sidabutar Neyla Ayu Nabila Norman Silalahi Rina Br. Bukit Risanty Sembiring, Muhammad Simba Sembiring, Sisi Maghfirah Rahmah Shara Ketty Moretta Situmorang Silva Aurelia Br Sinulingga Susan Cornelya Hermina Taufik Akbar Parluhutan Thalita Syafira Vicken Dominick Febrian Marbun Wahyuni Maisarah Pane Wilda Anabia Prasasti Yasmin Shafa Mumtaazah Yosep Halomoan Sirait