Published: 2026-07-30

AI-Based Data Engineering Model for Adaptive Billing Systems in Digital Economy Monetization

DOI: 10.35870/ijmsit.v6i2.7789

Sulistyowati, Fitriyani, Zikrul Khalid
  • Sulistyowati: Institut Teknologi Adhi Tama Surabaya ROR
  • Fitriyani: Universitas Jabal Ghafur ROR
  • Zikrul Khalid: Universitas Jabal Ghafur ROR
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Abstract

This research aims to develop an AI-driven data engineering model tailored for adaptive billing systems in the realm of digital economy monetization. As digital services evolve, traditional billing mechanisms often struggle to accommodate the varied demands of users. The model proposed integrates user profiles, transaction histories, and payment patterns, facilitating precise cost assessments that respond dynamically to user behaviors. A descriptive qualitative methodology was employed, concentrating on the framework of the model, system workflows, and essential analytical functions. Findings indicate that this approach enhances both accuracy and transparency in billing processes while fostering stronger relationships between businesses and their clients. By utilizing artificial intelligence, the system adapts to shifts in consumption patterns, identifies anomalies, and adjusts pricing based on real-time usage. These insights lay the groundwork for developing more agile and efficient billing solutions, offering a practical roadmap for digital enterprises aiming to optimize revenue management based on service utilization.

Keywords

Data engineering; Artificial intelligence; Adaptive billing systems; Digital monetization; Digital economy

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How to Cite

Sulistyowati, S., Fitriyani, F., & Khalid, Z. (2026). AI-Based Data Engineering Model for Adaptive Billing Systems in Digital Economy Monetization. International Journal of Management Science and Information Technology, 6(2), 1455-1464. https://doi.org/10.35870/ijmsit.v6i2.7789
Article Information

This article has been peer-reviewed and published in the International Journal of Management Science and Information Technology. The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 6 No. 2 (2026)

  • Section: Articles

  • Published: 2026-07-30

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Author Biographies
Sulistyowati, Institut Teknologi Adhi Tama Surabaya
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Information Systems Study Program, Faculty of Electrical Engineering and Information Technology, Institut Teknologi Adhi Tama Surabaya, Surabaya City, East Java Province, Indonesia.

Fitriyani, Universitas Jabal Ghafur
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Informatics Engineering Study Program, Faculty of Engineering and Science, Universitas Jabal Ghafur, Pidie Regency, Aceh Province, Indonesia.

Zikrul Khalid, Universitas Jabal Ghafur
Google Scholar ResearchGate ORCID

Informatics Engineering Study Program, Faculty of Engineering and Science, Universitas Jabal Ghafur, Pidie Regency, Aceh Province, Indonesia.

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