Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Vol. 4 No. 1 (2024): October 2024

Optimizing the Preparation of Work Plans Using Linear Regression

Astrika, Rahayu (Unknown)
Pardede, Akim Manaor Hara (Unknown)
Sihombing, Anton (Unknown)



Article Info

Publish Date
15 Oct 2024

Abstract

Preparing effective and efficient work plans to achieve regional government strategic goals is often faced with budget management challenges, especially in the face of increasing indicative ceilings. This research optimizes this process at the Langkat Regency Regional Secretariat using the linear regression method. This method evaluates previous work plans and adapts them to regional financial capabilities for more efficient budget use. The research results show that linear regression provides accurate predictions of budget needs, with an error rate (MAPE) of 0.08% and an accuracy rate of 99.92%. It is hoped that this optimization can support regional development goals in a structured and measurable manner.

Copyrights © 2024






Journal Info

Abbrev

JAIEA

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering

Description

The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering ...