Artifical Intelligence Librarian as Promotion of IAIN Lhokseumawe Library in the Revolutionary Era 4.0

Aida Hayani, Evi Aprilia Sari, Sukiman Sukiman

Abstract


Era 4.0. is a revolution in the industrial world, in the era referred to as the phenomenon distruptive innovation. In the industrial era 4.0, the emphasis lies on the digital economy pattern, artificial intelligence (artificial intelligence) big data, robotics, and automation. The impact of the industrial era 4.0 influential in various fields of work are no exception librarians. Librarian is someone who has the ability and expertise librarianship the librarians in charge to prepare themselves to face the era that is the way to equip themselves with information technology and analytical capabilities of the library so that airport users effective. Then by applying a librarian AI (artificial intelligence) to guide users in using the integrated library information. The presence of librarians AI (artificial intelligence) at IAIN Lhokseumawe made of evidence that has entered the era of disruption 4.0 will be the college library promotion strategy.

Keywords


Artifical Intellegence; Revolution; Library

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References


M. Danny, F. Madelaine, C. Huriviades, and S. Dalys, “Digital Institutional Repositories, Component of Open Science to Disseminate Scientific Publications: Case Repository UTP-Ridda2,” in 2019 7th International Engineering, Sciences and Technology Conference (IESTEC), 2019, pp. 653–658.

B. Meunier, “Library Technology and Innovation As A Force for Public Good A Case Study from UCL Library Services,” IEEE 5th Int. Symp. Emerg. Trends Technol. Libr. Inf. Serv. ETTLIS 2018, pp. 159–165, 2018.

J. Ronczka and L. McKenzie, “Industry Engagement with Synthetic Intelligence: To Drive Sustainable Human-Technology ‘Ecosystem Quality’ (EQ),” in 2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 2018, pp. 164–171.

R. Patnaik and M. K. Mishra, “Role of Content Management Software (CMS) in libraries for information dissemination,” in 2015 4th International Symposium on Emerging Trends and Technologies in Libraries and Information Services, 2015, pp. 117–121.

K. Hafeez and S. Khan, “Risk management analysis with the help of lightning strike mapping around 500 k-v grid station using artificial intelligence technique,” in 2012 International Conference of Robotics and Artificial Intelligence, 2012, pp. 165–168.

Liu Xian, “Artificial intelligence and modern sports education technology,” in 2010 International Conference on Artificial Intelligence and Education (ICAIE), 2010, pp. 772–776.

Y. Liu and P. Tang, “The Prospect for the Application of the Surgical Navigation System Based on Artificial Intelligence and Augmented Reality,” in 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018, pp. 244–246.

S. Garichev and A. Vedyakhin, “Conception and Development Program of National Technology Initiative Center for Artificial Intelligence at MIPT,” in 2018 International Conference on Artificial Intelligence Applications and Innovations (IC-AIAI), 2018, pp. 1–3.

Y. Liu and P. Tang, “The prospect for the application of the surgical navigation system based on artificial intelligence and augmented reality,” in Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018, 2019, pp. 244–246.

X. Liu, “Artificial intelligence and modern sports education technology,” in Proceedings - 2010 International Conference on Artificial Intelligence and Education, ICAIE 2010, 2010, pp. 772–776.

L. L. Abeysekara and H. Abdi, “Short Paper: Neuromorphic Chip Embedded Electronic Systems to Expand Artificial Intelligence,” in 2019 Second International Conference on Artificial Intelligence for Industries (AI4I), 2019, pp. 119–121.

U. Arsenijevic and M. Jovic, “Artificial Intelligence Marketing: Chatbots,” in 2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI), 2019, pp. 19–193.

K. Pahwa and N. Agarwal, “Stock Market Analysis using Supervised Machine Learning,” in 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 2019, pp. 197–200.

Y. Chu, J. Fei, and S. Hou, “Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure,” IEEE Trans. Neural Networks Learn. Syst., vol. 31, no. 4, pp. 1297–1309, Apr. 2020.

M. Kobayashi, “Noise Robust Projection Rule for Hyperbolic Hopfield Neural Networks,” IEEE Trans. Neural Networks Learn. Syst., vol. 31, no. 1, pp. 352–356, Jan. 2020.

H. Tang, H. Liu, W. Xiao, and N. Sebe, “When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition With Limited Data,” IEEE Trans. Neural Networks Learn. Syst., pp. 1–13, 2020.

S. Roy et al., “Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound,” IEEE Trans. Med. Imaging, vol. 39, no. 8, pp. 2676–2687, Aug. 2020.

C. Lee and A. Fumagalli, “Internet of Things Security - Multilayered Method For End to End Data Communications Over Cellular Networks,” in 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 2019, pp. 24–28.

H. I. Bulbul and O. Unsal, “Comparison of Classification Techniques used in Machine Learning as Applied on Vocational Guidance Data,” in 2011 10th International Conference on Machine Learning and Applications and Workshops, 2011, vol. 2, pp. 298–301.

C. Matthes et al., “The Collaborative Virtual Reality Neurorobotics Lab,” in 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, pp. 1671–1674.

C. Oikonomou, A. Lioret, M. Santorineos, and S. Zoi, “Experimentation with the human body in virtual reality space: Body, bacteria, life-cycle,” in 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), 2017, pp. 185–186.

Y.-J. Lin et al., “Artificial Intelligence of Things Wearable System for Cardiac Disease Detection,” in 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019, pp. 67–70.

J. Wang, L. Fang, and X. Zhuang, “Study and Application of Stock Robot Kaburobo Based on Artificial Intelligence,” in 2009 International Joint Conference on Artificial Intelligence, 2009, pp. 260–262.

Z. Zhang, S. Xu, and H. Yan, “Preliminary Study on Application of Artificial Intelligence Technology in Electrical Automation Control,” in 2020 International Conference on Computer Information and Big Data Applications (CIBDA), 2020, pp. 128–131.

B. Wang, Y. Qin, and Q. Huang, “The Prospective of Library Spurred by Artificial Inteligence-China Survey,” in 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2020, pp. 175–179.

Abhivardhan, “The Perspective of Dimensional Perpetuity for Artificial Intelligence: A Model on Socio-Legal and Political Evolution as a Challenge to Entrepreneurial Ethics,” in 2020 2nd World Symposium on Artificial Intelligence (WSAI), 2020, no. 2019, pp. 69–72.

Z. Aung, I. S. Mikhaylov, and Y. T. Aung, “Artificial Intelligence Methods Application in Oil Industry,” in 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2020, pp. 563–567.

M. Li, Z. Yang, J. Zhong, L. He, and Y. Teng, “Research on Network Attack and Defense Based on Artificial Intelligence Technology,” Proc. 2020 IEEE 4th Inf. Technol. Networking, Electron. Autom. Control Conf. ITNEC 2020, vol. 3, no. Itoec, pp. 2532–2534, 2020.

F. Alkhabbas, R. Spalazzese, and P. Davidsson, “Architecting Emergent Configurations in the Internet of Things,” in 2017 IEEE International Conference on Software Architecture (ICSA), 2017, pp. 221–224.

K. Zhu, G. Li, and Y. Zhang, “Big Data Oriented Smart Tool Condition Monitoring System,” IEEE Trans. Ind. Informatics, vol. 16, no. 6, pp. 4007–4016, Jun. 2020.




DOI: https://doi.org/10.18196/jrc.2258

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Journal of Robotics and Control (JRC)

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