Microcredential certification training for data scientists held by the Directorate General of Higher Education, Research and technology of the Ministry of Education, Culture, Research and Technology. The training was fully supported by expert data scientists from ITB, UI, ITS, UGM, Telkom University, Syiah Kuala University, Gunadarma University, Dian Nuswantoro University, Udayana University, Hasanudin University and AMIKOM University.
As many as 61 students of the Best Indonesian PTS Sumatra Technocrat University successfully PASSED the selection in the training held online after successfully conquering 100 questions covering the fields of algorithms and programming, statistics and mathematics in 60 minutes online. Then after the student is declared graduated, the student gets full training for 1 month 10 days which is held online by expert data scientist mentors from supporting universities.
Resi Susanti Aliffia Nur Kharomah
Risa Aprilia Gunawan Siti Fatimah
Rama Suherman Putri Oktaria Maylanda
Mita Sari Sihaloho Fakhri Naufal Putra
Nyco Maulidyan Pratama Denni Bharliandy Sastra
Randy Julyan Eka Nurhana
Rhendy Yahya Almikana Adella Esika Dewi
Putri Agustin Muhammad Zaki
Adzqi Aulia Bagas Cahya Ramadan
Dhaifina Berlyana Hadyansa Siti Nurhasanah
Galih Prayogi Nugroho Uswatun Hasanah
Khurnia Putri Ramadhany Oktorio Ezra Firmana
Amelia Maharani Windhu Astha T
Bagus Pangestu Krisfi Marantika
Stevani Natasiyah Naufal Arif
Mario Fernando Farhan Saputra
Rifqi Habib Maulana Fitria Aprianti
Reza Putri Pratama Agung Pambudi
Dwi Susanti Beni Afri Angga
Hendar Juliyanto Rega Prastiya
Kadek Tame Jaya Novita Ulan Sari
M. Ari Kurniawan Dwi Bayu Karnadi
Rizky Fadhillah Muhammad Naufal
Kahfi Azazi Muhammad Angga Trie Wiratama
Donie Aditya Ramadhan Sirfia Aropa Putri
Dwi Agustina Lestari Wahyu Kurniawan Wijaya
Mardha Ariyani Raferly Cahya Darna
Firda Atika Putri Adinda Bidadari
Risma Sulistiowati Riris Eka Muly Senima
Muhammad Ikhsan
Baca juga : MAHASISWA PTS TERBAIK SUMATERA UNIVERSITAS TEKNOKRAT INDONESIA JUARA NASIONAL NETWORKING COMPETITION
Vice Chancellor of the Best PTS Universitas Teknokrat Indonesia Sumatra Dr. H Mahathir Muhammad SE MM said that passing the selection on training with a high standard was indeed very proud. Coupled with reliable mentors in their fields to improve Human Resources (HR). That way, the best postgraduate Technocrat PTS students can be experts in that field.
The number of human demands for the world’s ‘talent’ in the field of Artificial Intelligence technology has grown by 74% every year in the last 4 years, with Machine Learning Engineers, Deep Learning Engineers, Data Scientists, and Algorithm Developers as the most sought after ‘talents’ . The World Bank stated that currently Indonesia is facing a digital talent gap. Indonesia needs 9,000,000 talents within fifteen years or around 600,000 talents per year to catch up. Human resource (HR) needs of various types:
To accommodate the development of Artificial Intelligence, the Indonesian government in coordination with the Agency for the Assessment and Application of Technology (BPPT) has issued a National Artificial Intelligence strategy. One of the things identified as important in this national strategy is the aspect of talent or the availability of Human Resources (HR) so that they can utilize and develop Artificial Intelligence. Currently, it is not only the industry that requires Data Science or Artificial Intelligence talent. State institutions such as the Ministry of Finance, in this case the Director General of Taxes and the Director General of Customs and Excise, the Ministry of Foreign Affairs, and so on require human resources who master the fields of Data Science and Artificial Intelligence.
Public services such as TK BJKS and Health BPJK also need human resources in the fields of Data Science and Artificial Intelligence, for example for fraud detection, Decision Support Systems, smart inventory and stock systems, smart farming. To catch up with 9,000,000 digital talents, Indonesia needs various acceleration strategies in order to create quality human resources in the fields of Artificial Intelligence and Data Science.
Microcredential Certification activities in the fields of Data Science and Artificial Intelligence are carried out in order to accelerate the fulfillment of needs in this field. By equipping students with competencies in the fields of Data Science and Artificial Intelligence, university graduates can cover the talent needs of both industry and government agencies and public services. This microcredential activity consists of:
This training activity uses the Associate Data Scientist’s national occupational reference (KKNI level 6). Meanwhile, the instructors are those who have received training for the Data Scientist level (KKNI level 7). Microcredential activities are expected to provide an environment that is able to stimulate the academic community to think critically, innovate, increase self-confidence, develop networks between universities, industry and other related parties. This microcredential activity is supported by industry and related associations (IPKIN, IAI, IAIS) by utilizing the power of resources owned by universities and networks of educational institutions, industry and government.
The implementation of this activity is intended to support the implementation of the Independent Learning Campus Independent Program which is part of the Ministry of Education, Culture, Research and Technology (Kemdikbud Ristek) Program. The implementation of this activity can encourage the involvement of students and lecturers in higher education. The 2021 Microcredential Certification Program activities have general and specific objectives, namely:
General Purpose of Microcredential Certification Training for Students of the Best Universitas Teknokrat Indonesia PTS Sumatra
In general, the expected goal with this proposed activity is to develop experienced Human Resources (HR) and can directly enter the real world or industry in the AI field to face the era of the industrial revolution 4.0 and Society 5.0.
Specifically, the objectives to be achieved in this activity include:
The training is carried out with the following mechanism:
The training is carried out by universities appointed by Dikti as implementing hosts. Each host will handle 150-200 students according to the availability of teachers and assistants; Participants will be divided into several groups. In 1 (one) group a maximum of 25 (twenty five) to 30 (thirty) participants will be handled by 1 (one) instructor. Each host will handle about 6 (six) groups, with this composition the participants are expected to get intense interaction with the teacher; For each host, a minimum of 8 (eight) instructors is required; Each group will be accompanied by 1 (one) implementing assistant; the training is carried out online in synchronous and asynchronous modes. Synchronous sessions are carried out using the Zoom Cloud Meeting application. Synchronous sessions are carried out for lessons carried out as much as 2 JP x 18 plus industry sessions and project discussions (this mechanism is adjusted by the implementing host); Asynchronous sessions are carried out using the LMS provided by SPADA, or the campus LMS, using the provided materials; At the end of the training activity each participant will carry out a final project in groups (1 group consists of 3 participants). For the final project, it is expected that there will be assistance or problems from industrial partners and/or the government; Participants who pass the certification mockup exam and carry out project assignments will have the opportunity to take the certification exam at LSP;
The hope is that the 61 students of the Best PTS Sumatran Universitas Teknokrat Indonesia will receive initial provisions that will support them in the future to be prepared to become reliable data scientists who will be ready to answer challenges in an increasingly competitive world of work.
