Vol. 1 No. 1 (2026)
Articles

WORKSHOP PEMODELAN DATA PENELITIAN MENGGUNAKAN AUTOREGRESSIVE DISTRIBUTED LAG (ARDL)

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  • Rian Dani,
  • Bima R Dani,
  • Aldy Suryawinata,
  • Armandito,
  • Abelza Pernanda
Rian Dani
Universitas Muhammadiyah Jambi
Bima R Dani
Universitas Muhammadiyah Jambi
Aldy Suryawinata
Universitas Muhammadiyah Jambi
Armandito
Universitas Muhammadiyah Jambi
Abelza Pernanda
Universitas Muhammadiyah Jambi

Published 2026-05-31

Keywords

  • Data Modeling,
  • ARDL,
  • Workshop,
  • Financial Research

Copyright (c) 2026 Rian Dani, Bima R Dani, Aldy Suryawinata, Armandito, Abelza Pernanda (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

An academic is required to have high scientific publication productivity in the field he is pursuing through a research roadmap that has been built from the start. Limited proficiency in research methodology, particularly regarding dynamic time-series data modeling, can hinder a lecturer's academic productivity. This community outreach activity was carried out by initiating a workshop or training on Autoregressive Distributed Lag (ARDL) modeling to make it easier for lecturers at the Faculty of Economics, Business and Social Humanities at Muhammadiyah University of Jambi to map short-term and long-term economic and financial relationships. Held on July 16, 2026, the workshop was attended by ten lecturers from the Management study program (Financial Management concentration). The organizing team comprised five lecturers from the Management study program (Financial Management concentration) and the Development Economics study program (Regional Finance concentration). The results indicate that participants gained an understanding of ARDL data modeling, including theoretical prerequisites such as data stationarity constraints and cointegration testing, as well as the interpretation of model outputs. This activity aims to stimulate the production of high-quality research in economics and finance that is suitable for publication in reputable journals.

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