Sains Data Jurnal Studi Matematika dan Teknologi
Vol 4, No 2: July-December 2026 (In Progress)

Penerapan Metode Autoregressive (AR) dalam Memprediksi Tren Pertumbuhan Start Up di Kota Medan

Syahputra, Mario (Unknown)
Hutapea, Rahmat (Unknown)
Nuryadi, Agung Hidayat (Unknown)
Panjaitan, Rio Anggara (Unknown)
Sari, Rina Widya (Unknown)



Article Info

Publish Date
24 Mar 2026

Abstract

The rapid growth of startups in Medan City highlights the need for data-driven approaches to understanding digital entrepreneurship dynamics. This study aims to apply the Autoregressive (AR) model to predict startup growth trends in Medan using historical data from 2016 to 2024. The method employed is time series analysis with a first-order AR(1) model, utilizing secondary data from the Investment and Licensing Agency of North Sumatra Province. The findings indicate a significant increase in startup numbers since 2022, with projections suggesting continued growth to 127 startups by 2030. The AR model proves to offer a simple yet accurate forecasting framework, making it a valuable tool for strategic planning. These results have important implications for policymakers, investors, and entrepreneurs in designing sustainable startup development strategies in urban areas.

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Journal Info

Abbrev

sainsdata

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering Mathematics Physics

Description

Sains Data Jurnal Studi Matematika dan Teknologi, published by the STAI Nurul Islam Mojokerto. Its a biannual refereed journal concerned with the practice and processes of mathematics and technologies. It provides a forum for academics, practitioners and community representatives to explore issues ...