THE INFLUENCE OF TECHNOLOGY TO INDUSTRIAL SOCIETY TRANSFORMATION: CASE STUDY IN THE MANUFACTURING INDUSTRY IN BEKASI AREA

Abstract

This research explores the impact of adoption of technology and perception of technology to industrial society transformation in the Indonesia manufacturing sector, case study in Bekasi area. It examines the impact of the latest digital and industrial technology, including automation, the Internet of Things (IoT), artificial intelligence, big data, and automation robotics on the industrial society landscape. This research performed quantitative method with questionnaires in the industrial society, such as industrial workers and managerial in manufacturing industry. Data were collected using a quantitative method through an online questionnaire distributed via Google Forms. A cluster random sampling technique was applied across major industrial estates, targeting employees with direct exposure to technology. Respondents were selected using cluster random sampling across three major industrial estates Jababeka, MM2100, and Lippo Cikarang Industrial Park and others ensuring diverse representation. Using Cochran’s formula, a minimum sample of 260 respondents was determined and achieved. The instrument consisted of 15 question statements covering three key variables: technology adoption, perception of technology, and industrial society transformation. Data were analyzed using SmartPLS-SEM to examine correlations among variables. The results of this research find that the perception and adoption of technology influences on the industrial society transformation. The implication of this research offers valuable insights into the relationship between technology and the industrial society, highlighting the necessity of a balanced approach that promotes technological advancement while maintaining social well-being.