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All Journal Minda Baharu Jurnal Sistem Teknik Industri International Journal of Artificial Intelligence International Journal of Education, Science, Technology, and Engineering (IJESTE) SIGMA TEKNIKA Journal of Industial Engineering and Technology Profisiensi : Jurnal Program Studi Teknik Industri JURTI Jurnal Teknik Industri Jurnal Manajemen Rekayasa dan Inovasi Bisnis Jurnal Pengabdian Ibnu Sina Ranah Research : Journal of Multidisciplinary Research and Development
Ansarullah Lawi
Insitut Teknologi Batam
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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Indonesia Network Infrastructures and Workforce Adequacy to Implement Machine Learning for Large-Scale Manufacturing Anderson, Steven; Lawi, Ansarullah
International Journal of Artificial Intelligence Vol 8 No 1 (2021)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0801.182

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.
Exploring the English Language Skills Needed at Engineering Companies Aswirawan, Maria Yosefina Meinadia Sekar Kinanti; Lawi, Ansarullah
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 5 No 1: June 2022
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0501.344

Abstract

This paper reports the results of an English language needs analysis carried out at different multinational engineering companies in Batam, Indonesia. Through the implementation of needs analysis questionnaire to 50 engineers from various engineering companies, the perceived importance and frequency of linguistic needs of learners in terms of skills and sub-skills are specified. The results show that most engineers perceived reading as the most important skill, followed by listening, writing, and speaking; whereas, in terms of frequency, reading has also been perceived as the most frequent skill, followed by listening, writing and speaking. Emphasis should be put on receptive skills (a total mean score of 16.048) rather than productive skills (a total mean score of 15.423). However, findings also depict those engineers considered some of the oral communicative event(s) such as reporting work to superiors to be very frequent at work. The implications of the findings indicate that materials design and development should consider the incorporation of workplace scenarios as the basis for activities.
Co-Authors Anderson, Steven Andri, Ronny Aulia Agung Dermawan Dimas Akmarul Putera Dwi Putra, Adrianus Edi, Firman Febriansyah Febriansyah Ilham, Wahyudi Jeri Gunawan M. Ansyar Bora Maria Yosefina Meinadia Sekar Kinanti Aswirawan Maulidina, Siti Nur munir, Zainul Munir Nurul Ilmi Oktawanto, Rian Pane, Amirah Nova Khairiyah Puspita Rini, Rosie Oktavia Ririt Dwi Putri Permatasari Ririt Dwiputri Permatasari Saputra, Puji Tri Siregar, Sri Wahyuni Sondra Wijaya, I Made Syara Nasution, Rivara Tia Andini Salsabilla Tirta Mulyadi