Penerapan Kecerdasan Buatan Dan Teknologi Informasi Pada Efisiensi Manajemen Pengetahuan

Renaldy Alief; Evy Nurmiati

doi:10.14710/jmasif.13.1.43760

DOI: https://doi.org/10.14710/jmasif.13.1.43760

Penerapan Kecerdasan Buatan Dan Teknologi Informasi Pada Efisiensi Manajemen Pengetahuan

Renaldy Alief , Evy Nurmiati

Departemen Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Syarif Hidayatullah Jakarta, Jl. Ir H. Juanda No.95, Cemp. Putih, Kec. Ciputat Tim, Kota Tangerang Selatan, Indonesia

Received: 1 Jan 2022; Revised: 9 May 2022; Accepted: 9 May 2022; Available online: 27 May 2022; Published: 27 May 2022.

Editor(s): Prajanto Adi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:

Abstract

Manajemen pengetahuan telah dipelajari dan dibahas sejak lama oleh beberapa peneliti dari akademisi dan sektor bisnis karena vitalitasnya untuk keberhasilan perusahaan. Selain itu, banyak perusahaan terkemuka di seluruh dunia telah mengadopsi beberapa praktik manajemen pengetahuan untuk memastikan bahwa mereka tetap unggul dari pesaing mereka di dunia bisnis yang kompetitif. Oleh karena itu, perusahaan terus mencari cara untuk meningkatkan praktik manajemen pengetahuan. Penelitian ini menggunakan metode literature review terhadap 12 jurnal. Tujuan penelitian ini untuk memiliki pemahaman yang lebih mendalam tentang tren penelitian terbaru dari proses manajemen pengetahuan dan praktik terbaiknya di perusahaan. Namun, subjek ini membutuhkan penyelidikan lebih lanjut dari perspektif lain. Dari hasil penelitian ini tehnik AI yang paling sering di gunakan adalah metode Artificial Neural Network dimana negara yang meneliti subjek terbanyak yaitu Arab Saudi dan UK, dengan studi manajemen pengetahuan yang terkait dengan AI meningkat dalam tiga tahun terakhir dari 2016 hingga 2019. Penelitian ini secara sistematis menerapkan praktik manajemen pengetahuan saat ini yang mengandalkan mekanisme TI dan AI dan dampaknya terhadap perusahaan beserta tantangan dan keterbatasannya.

Fulltext View|Download

Keywords: knowledge management; information technology; artificial intelligence; business

Article Metrics:

Article Info

Section: Research Article

Language : ID

In Vol 13, No 1 (2022): JURNAL MASYARAKAT INFORMATIKA

Recent articles

Non-Blind Watermarking Menggunakan Discrete dan Wavelet Transform Penerapan Convolutional Neural Network Untuk Klasifikasi Tingkat Keparahan Retinopati Diabetik Pada Penderita Diabetes Melitus Penerapan Kecerdasan Buatan Dan Teknologi Informasi Pada Efisiensi Manajemen Pengetahuan More recent articles

Most cited articles

OPTICAL CHARACTER RECOGNITION MENGGUNAKAN ALGORITMA TEMPLATE MATCHING CORRELATION Enterprise Architecture Model untuk Aplikasi Government APLIKASI SISTEM INFORMASI GEOGRAFIS BERBASIS WEB PENYEBARAN DANA BANTUAN OPERASIONAL SEKOLAH PENYELESAIAN MASALAH JOB SHOP MENGGUNAKAN ALGORITMA GENETIKA KLASIFIKASI UCAPAN KATA DENGAN SUPPORT VECTOR MACHINE More cited articles

Salloum, S.A., Al-Emran, M., Shaalan, K.: The Impact of knowledge sharing on information systems: a review. In: International Conference on Knowledge Management in Organizations, pp. 94–106 (2018)
Santoro, G., Vrontis, D., Thrassou, A., Dezi, L.: The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technol. Forecast. Soc. Change 136, 347–354 (2018)
Al-Emran, M., Mezhuyev, V., Kamaludin, A., Shaalan, K.: The impact of knowledge management processes on information systems: a systematic review. Int. J. Inf. Manage. 43, 173–187(2018)
Al-Emran, M., Mezhuyev, V., Kamaludin, A.: Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance. Technol. Soc. (2020)
Al-Emran, M., Mezhuyev, V., Kamaludin, A.: An innovative approach of applying knowledge management in m-learning application development: a pilot study. Int. J. Inf. Commun. Technol. Educ. 15(4), 94–112 (2019)
Al-Emran, M., Mezhuyev, V.: Examining the effect of knowledge management factors on mobile learning adoption through the use of importance-performance map analysis (IPMA). In: International Conference on Advanced Intelligent Systems and Informatics, pp. 449–458 (2019)
Al-Emran, M., Teo, T.: Do knowledge acquisition and knowledge sharing really affect elearning adoption? An empirical study. Educ. Inf. Technol. (2019)
Al-Emran, M., Mezhuyev, V., Kamaludin, A., AlSinani, A.: Development of M-learning application based on knowledge management processes. In: 2018 7th International conference on Software and Computer Applications (ICSCA 2018), pp. 248–253 (2018)
Al-Emran, M., Mezhuyev, V., Kamaludin, A.: Students’ perceptions towards the integration of knowledge management processes in M-learning systems: a preliminary study. Int. J. Eng. Educ. 34(2), 371–380 (2018)
Geisler, E., Wickramasinghe, N.: Principles of Knowledge Management: Theory, Practice, and Cases: Theory, Practice, and Cases. Routledge (2015)
Santoro, G., Vrontis, D., Thrassou, A., Dezi, L.: The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technol. Forecast. Soc. Change 136, 347–354 (2018)
Jimenez-Jimenez, D., Martínez-Costa, M., Sanchez Rodriguez, C.: The mediating role of supply chain collaboration on the relationship between information technology and innovation. J. Knowl. Manag. 23(3), 548–567 (2019)
Wang, H., Xu, Z., Fujita, H., Liu, S.: Towards felicitous decision making: an overview on challenges and trends of big data. Inf. Sci. (Ny) 367, 747–765 (2016)
Lig˛eza, A., Potempa, T.: Artificial intelligence for knowledge management with bpmn and rules. In: IFIP International Workshop on Artificial Intelligence for Knowledge Management, pp. 19–37 (2012)
Ordóñez de Pablos, P., Lytras, M.: Knowledge Management, Innovation and Big Data: Implications for Sustainability Policy Making and Competitiveness. Multidisciplinary Digital Publishing Institute (2018),
P., Heisig, P., Caldwell, N.H.M., Maier, A. M., Ipsen, C.: Future research on information technology in knowledge management. Knowl. Process Manag. (2019)
Antunes, H. D. J. G., & Pinheiro, P. G. (2019). Linking knowledge management, organizational learning and memory. Journal of Innovation & Knowledge, 5(2), 140-149
Saberi, M., Azadeh, A. Saberi, Z., Pazhoheshfar, P.: A knowledge management system based on artificial intelligence (AI) methods: a flexible fuzzy regression-analysis of variance algorithm for natural gas consumption estimation. In: 2012 International Conference on Information Retrieval & Knowledge Management, pp. 143–147 (2012)
Tan, L.P., Wong, K.Y.: A neural network approach for predicting manufacturing performance using knowledge management metrics. Cybern. Syst. 48(4), 348–364 (2017)
L., Guzman, G., Busch, P.: Artificial intelligence and knowledge management: questioning the tacit dimension. Prometheus 35(1), 37–56 (2017)
Aljaaf, A.J., Al-Jumeily, D., Hussain, A.J., Fergus, P., Al-Jumaily, M., Abdel-Aziz, K.: Toward an optimal use of artificial intelligence techniques within a clinical decision support system. Sci Inf Conf (SAI) 2015, 548–554 (2015)
Shahid, N., Rappon, T., Berta, W.: Applications of artificial neural networks in health care organizational decision-making: a scoping review. PLoS ONE 14(2), e0212356 (2019)

Last update:

Identifikasi Tujuan Tata Kelola Teknologi Informasi PLT FST UIN Jakarta Menggunakan Framework COBIT 2019
Nur Aeni Hidayah, Nurbojatmiko, Mizan Ade Arfani, Yuliwanda Anggi Kusumaatuti. Journal of Applied Computer Science and Technology, 5 (1), 2024. doi: 10.52158/jacost.v5i1.770

Last update: 2024-12-25 07:53:19

No citation recorded.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The authors who submit the manuscript must understand that the article's copyright belongs to the author(s) if accepted for publication. However, the author(s) grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors should also understand that their article (and any additional files, including data sets, and analysis/computation data) will become publicly available once published under that license. See our copyright policy. By submitting the manuscript to Jmasif, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

their article is original, written by the mentioned author(s),
has never been published before,
does not contain statements that violate the law, and
does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article in any repository, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Masyarakat Informatika).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. Jmasif will not be held responsible for anything arising because of the writer's internal dispute. Jmasif will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. Jmasif allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Jmasif to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.