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All Journal SERVIRISMA: Jurnal Pengabdian kepada Masyarakat
Teddy Marcus Zakaria
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Maranatha
Humanities Other

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Penyuluhan Machine Learning dan Quantum Artificial Intelligence di Era Industri 4.0 Hendra Bunyamin; Teddy Marcus Zakaria; Andreas Widjaja; Natanael Halim; Vania Sarwoko
Servirisma Vol. 1 No. 1 (2021): Servirisma : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1370.586 KB) | DOI: 10.21460/servirisma.2021.11.4

Abstract

The Digital Era 4.0 has started since 2016 and two Southeast Asia countries such as Malaysia and Singapore have already adapted to the era; unfortunately, Indonesia has been struggling to adapt the era and, therefore, needs to catch up the digital competitiveness of its neighbouring countries. According to IMD World Digital Competitiveness 2020, Indonesia placed 56th of 63 countries in the digital competitiveness measurement. Despite its poor performance, Indonesia can catch up with other countries by starting from universities’ environment where Indonesia’s next generations study. Universities are prominent education institutions which prepare next generations for world digital competitiveness. According to BPS Indonesia, the unemployment of bachelor, master, and doctoral graduates reach a total number of 737.000, or 5,67% of 13 millions work force. One of the causes is the lack of technological knowledge, specifically, Artificial Intelligence (AI), from the graduates. Particularly, when they become business leaders, they are not fully prepared to create new job openings because mostly their mindsets are to find suitable jobs after study. The two webinars are results of collaboration between several universities which form NUNI (Jejaring Universitas Nusantara) whose purpose is to equip students with the knowledge of AI. Our method of counselling whose format is two webinars with both titles are Interpretable Machine Learning and Quantum Artificial Intelligence has gained appreciation in the form of average participation score which approaches excellent score (4,60 of 5,00). Additionally, these two webinars are publicly available in web blogs and Youtube videos.
Pengembangan Kompetensi Persiapan Pembelajaran Daring Di Era Pandemi Covid-19 Yenni Djajalaksana; Teddy Marcus Zakaria; Doro Edi; Daniel Jahja Surjawan; Tiur Gantini; Djoni Setiawan Kartawihardja
Servirisma Vol. 2 No. 1 (2022): Servirisma : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1652.812 KB) | DOI: 10.21460/servirisma.2022.21.15

Abstract

The COVID-19 pandemic situation has forced many schools, universities, and many educational organizations in Indonesia into an unexpected situation. Given the lockdown, restrictions on social activities, and the implementation of social distancing by the Indonesian government, many educational institutions are struggling to adjust to the adaptation of new habits. As one of the educational institutions with qualified facilities, the Faculty of Information Technology (FTI) carried out community service programs by providing training for educators at the secondary and elementary school levels to be able to prepare interesting learning materials using elements of creativity in Slides, Videos, Blogs, and Vlogs and instill elements of Gamification for Learning in the learning materials. The implementation of community service is considered to have been able to enrich the knowledge of teachers and increase confidence in educating students in the era of adapting new habits that combine online and offline learning methods. The activities carried out for a private school in Bandung have been carried out well and received feedback from the participants of this community service program.
Co-Authors Andreas Widjaja Daniel Jahja Surjawan Djoni Setiawan Kartawihardja Doro Edi Hendra Bunyamin Natanael Halim Tiur Gantini Vania Sarwoko Yenni Djajalaksana