Pengaruh Penggunaan Teknologi pada Perusahaan terhadap Efisiensi Penganggaran Perusahaan Manufaktur di Era Industri 4.0

Fitri Noviana; Saffah Haya Ibrahim; Suryani Suryani; Deska Ainun Rissanti; Muhammad Aditya Juliyanto

doi:10.61132/apke.v3i1.2098

Authors

Fitri Noviana Universitas Boyolali
Saffah Haya Ibrahim Universitas Boyolali
Suryani Suryani Universitas Boyolali
Deska Ainun Rissanti Universitas Boyolali
Muhammad Aditya Juliyanto Universitas Boyolali

DOI:

https://doi.org/10.61132/apke.v3i1.2098

Keywords:

Barriers to Technology Use, Budgeting Efficiency, Digitalization, Industrial Technology, Manufacturing Sector

Abstract

This study aims to analyze the transformative impact of digitalization and technology in the manufacturing sector on improving operational efficiency, particularly in budgeting and resource utilization, as well as to identify the main barriers to technology adoption. Using a Literature Review and Case Study Analysis of secondary data (journals, company reports, and industry publications), it was found that digitalization and Automation supported by Artificial Intelligence (AI) fundamentally transform budgeting functions. This transformation has been shown to improve budget accuracy by up to 50% (reducing human errors) and process efficiency by up to 25%, turning budgets from static documents into adaptive and predictive control tools. Positive impacts are also observed in operations through increased production capacity (revenue surge) and the implementation of Predictive Maintenance, which reduces expenditure and asset downtime, in line with the principles Cost Efficiency and Lean Manufacturing. Nevertheless, the adoption of advanced technology faces significant obstacles, namely high initial capital investment and skill gaps among the workforce. It is concluded that the success of digitalization heavily depends on strategic budget planning to overcome capital barriers and adequate allocation of funds for Human Resource (HR) training to support effective collaboration between humans and machines.

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