Pemanfaatan Teknologi Artificial Intelligence untuk Penguatan Kesehatan dan Pemulihan Ekonomi Nasional

  • Fitri Andri Astuti ITB
Keywords: artificial intelligence, machine learning, computer vision, natural language processing


Technological developments have been used to support health and economic systems in various countries. Especially during the COVID-19 pandemic, in the health sector, for example, starting from the process of identifying positive cases with chatbots, contact tracing, monitoring independent isolation, even monitoring social media for mental health can be done with the help of technology. This can help the government make policies and keep health workers in direct contact with patients, especially patients with mild symptoms, for patients with severe symptoms can be prioritized to be assisted by health workers. In the economic field, this pandemic has caused economic growth to decline, even in the third quarter of 2020 Indonesia experienced negative economic growth. The largest proportion of economic growth in Indonesia is household consumption, which is closely related to people's purchasing power. Artificial intelligence technology can be used to examine the level of public consumption. So that it helps the government in making policies on how to increase people's purchasing power. The use of this technology involves a variety of devices, online datasets, devices connected to the internet (IoT), and advances in the fields of machine learning, computer vision and natural language processing. This study aims to provide an overview of how artificial intelligence technology has great potential in strengthening the health system and restoring the national economy.


Download data is not yet available.


World Health Organization (WHO). diakses pada 13 Desember 2020.

Datareportal. diakses pada 13 Desember 2020.

Budd, J., Miller, B.S., Manning, E.M. et al. 2020. Digital technologies in the public-health response to COVID-19. Nat Med 26, 1183–1192: .

Barr, Avron and Feigenbaum. 1979. Handbook of Artificial Intelligence. Stanford University:

Russell, Stuart and Norvig, Peter. 2020. Artificial Intelligence A Modern Approach Fourth Edition. Pearson. Pearson Series in Artificial Intelligence

Geron, Aurelien. 2017. Hands-On Machine Learning with Scikit-Learn and TensorFlow. O'Reilly Media, Inc.

Prince, Simon J.D. 2012. Computer Vision: Models, Learning, and Inference. Cambridge: CUP

Goldberg, Yoav. 2017. Neural Network Method for Natural Language Processing. Morgan & Claypool Publishers

Tranfield, D., Denyer, D., Smart, P., 2003. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management 14 (3), 207-222

HealthMap. COVID-19. diakses pada 14 Desember 2020

World Health Organization. Epidemic intelligence from open sources (EIOS). diakses pada 14 Desember 2020

Pemerintah DKI Jakarta dan Harvard CLM Team. 2020. Corona Likelihood Metric (CLM): Aplikasi Uji Risiko Mandiri Gejala COVID-19. diakses pada 14 Desember 2020

Prixa AI. 2020. Sistem Periksa Gejala Berbasis AI. diakses pada 14 Desember 2020

Astuti, Fitri Andri and Nisa’, Nurul Ainun. 2020. Harnessing Social Media Data to Measuring Mental Health Statistics. UNESCAP: 2020 Asia–Pacific Statistics Week.

Trilaksono, Bambang Riyanto dan Tim Pusat AI ITB. 2020. Artificial Intelligence untuk Deteksi COVID-19 Berdasarkan CT-scan dan X-ray.

M. J. Horry et al. 2020. COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data. IEEE Access, vol. 8, pp. 149808-149824,

UniSA Media Centre. 2020. UniSA Working on Pandemic Drone to Detect Coronavirus. diakses pada 14 Desember 2020

Utama, Nugraha Priya, Tim Pusat AI ITB, dan Prosa AI. 2020. Pemanfaatan AI-Computer Vision untuk Monitor Perilaku Masyarakat pada Masa Pandemi. diakses pada 14 Desember 2020.

Prosa AI. 2020. Social Media Monitoring COVID-19. diakses pada 14 Desember 2020

U. Bharti, D. Bajaj, H. Batra, S. Lalit, S. Lalit and A. Gangwani. 2020. Medbot: Conversational Artificial Intelligence Powered Chatbot for Delivering Tele-Health after COVID-19. 5th International Conference on Communication and Electronics Systems (ICCES), COIMBATORE, India, 2020, pp. 870-875,

Zemmar, A., Lozano, A.M. & Nelson, B.J. 2020. The rise of robots in surgical environments during COVID-19. Nat Mach Intell 2, 566–572.

Guizzo, Erico, and Klett, Randi. 2020. How Robots Became Essential Workers in the COVID-19 Response. IEEE Spectrum: diakses pada 14 Desember 2020

European Communities, International Monetary Fund, Organisation for Economic Co-operation and Development, United Nations and World Bank. 2009. System of National Accounts 2008.

Badan Pusat Statistik Republik Indonesia. 2020. Laju Pertumbuhan PDB menurut Pengeluaran (Persen) Tahun 2020. diakses pada 14 Desember 2020

Badan Pusat Statistik Republik Indonesia. 2020. Tinjauan Big Data Terhadap Dampak Covid-19 2020.

Pusat AI ITB. 2020. Simulasi AI untuk meneliti tingkat konsumsi masyarakat dengan Nowcasting Daya Beli Masyarakat.

How to Cite
Astuti, F. A. (2021). Pemanfaatan Teknologi Artificial Intelligence untuk Penguatan Kesehatan dan Pemulihan Ekonomi Nasional. Jurnal Sistem Cerdas, 4(1), 25 - 34.