Indonesia Network Infrastructures and Workforce Adequacy to Implement Machine Learning for Large-Scale Manufacturing

Abstract

Technological development prior to industrial revolution 4.0 incentivized manufacturing industries to invest into digital industry with the aim of increasing the capability and efficiency in manufacturing activity. Major manufacturing industry has begun implementing cyber-physical system in industrial monitoring and control. The system itself will generate large volumes of data. The ability to process those big data requires algorithm called machine learning because of its ability to read patterns of big data for producing useful information. This study conducted on premises of Indonesia’s current network infrastructure and workforce capability on supporting the implementation of machine learning especially in large-scale manufacture. That will be compared with countries that have a positive stance in implementing machine learning in manufacturing. The conclusions that can be drawn from this research are Indonesia current infrastructure and workforce is still unable to fully support the implementation of machine learning technology in manufacturing industry and improvements are needed.

Intellectual Capital Measurement: Extended-Vaic Vs Vaic Which One Is Better?

“…It can be said that when viewed from either VAIC or E-VAIC measurement model, the non-financial industry is still very dependent on human resources. For other components such as SCE, conditions in Indonesia are still not optimal, especially in providing supporting infrastructure services for industry, especially for digitization transformation (Anderson & Lawi, 2021). The limitations of internet network infrastructure facilities and also the transformation of digital culture are still the main obstacles in addition to the limitations of infrastructure facilities such as electricity network (Anderson & Lawi, 2021;Damuri, 2017).…”

“…SCE is an infrastructure built by the company to ensure that everyone involved in it can innovate and contribute his thoughts in the progress of the company (Anderson & Lawi, 2021;Damuri, 2017;Ngah & Ibrahim, 2009). SCE is considered successful if it can create a more productive atmosphere, accelerate the learning process, and increase employee creativity.…”