Open AccessIndonesia Network Infrastructures and Workforce Adequacy to Implement Machine Learning for Large-Scale Manufacturing
Author(s) -
Steven R. Anderson,
Ansarullah Lawi
Publication year - 2021
Publication title -
international journal of artificial intelligence (batam)/international journal of artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2686-3251
pISSN - 2407-7275
DOI - 10.36079/lamintang.ijai-0801.182
Subject(s) - workforce , big data , manufacturing , industry 4.0 , scale (ratio) , manufacturing engineering , computer science , industrial revolution , digital revolution , control (management) , machine tool , advanced manufacturing , process (computing) , engineering management , business , artificial intelligence , engineering , marketing , telecommunications , data mining , economics , mechanical engineering , physics , quantum mechanics , law , political science , operating system , economic growth
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.