Operating System and Server Integration for Business Effectiveness
DOI:
https://doi.org/10.34306/itsdi.v5i2.615Keywords:
Management Information Systems, Operating System Integration, Servers, Business EffectivenessAbstract
Management Information Systems (MIS) have a crucial role in supporting the effectiveness of a company or agency. A strong MIS ensures optimal internal planning and control, involving people, documents, technology and procedures. The importance of MIS demands synergistic integration between the operating system and servers to manage hardware resources and store information efficiently. This research aims to explore the factors that influence SIM in the context of operating system and server integration. The focus is on understanding the impact of this integration on business effectiveness, particularly in terms of planning, control and data storage. Research reveals that the integration of operating systems and servers positively contributes to increasing SIM effectiveness. Harmonious cooperation between the operating system and servers encourages optimization of hardware resource management and information storage, supporting more efficient internal planning and control. These findings provide a new view regarding the importance of operating system and server integration in optimizing SIM. The implementation of this integration is expected to improve business performance through more accurate planning, tight control and efficient data storage. The novelty of this research lies in the integrative approach to operating systems and servers in the context of SIM. A deeper understanding of these relationships can provide practical guidance for companies to improve the effectiveness of their information systems.
Downloads
References
F. Zeng, S. H. N. Lee, and C. K. Y. Lo, “The role of information systems in the sustainable development
of enterprises: A systematic literature network analysis,” Sustainability, vol. 12, no. 8, p. 3337, 2020.
F. P. S. Surbakti, W. Wang, M. Indulska, and S. Sadiq, “Factors influencing effective use of big data: A
research framework,” Information & Management, vol. 57, no. 1, p. 103146, 2020.
D. Ajobiewe, “The place of management information systems in school administration,” Dr. Theophilus Adebose, p. 414, 2020.
S.-L. Wamba-Taguimdje, S. Fosso Wamba, J. R. Kala Kamdjoug, and C. E. Tchatchouang Wanko, “In-
fluence of artificial intelligence (ai) on firm performance: the business value of ai-based transformation
projects,” Business Process Management Journal, vol. 26, no. 7, pp. 1893–1924, 2020.
T. Zullig, M. Trotzmuller, and H. C. Kofeler, “Lipidomics from sample preparation to data analysis: a
primer,” Analytical and bioanalytical chemistry, vol. 412, pp. 2191–2209, 2020.
D. Julianingsih, A. G. Prawiyogi, E. Dolan, and D. Apriani, “Utilization of gadget technology as a learning media,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 3, no. 1, pp. 43–45, 2021.
D. Yuniarto, “Implementing cloud computing in companies to increase business efficiency,” Jurnal Info Sains: Informatika dan Sains, vol. 13, no. 02, pp. 633–639, 2023.
S. I. Kuru Gonen and G. Zeybek, “Using qr code enhanced authentic texts in efl extensive reading: A
qualitative study on student perceptions,” Education and Information Technologies, vol. 27, no. 2, pp.
–2057, 2022.
V. Prifti, I. Markja, K. Dhoska, and A. Pramono, “Management of information systems, implementation and their importance in albanian enterprises,” in IOP Conference Series: Materials Science and Engineering, vol. 909, no. 1. IOP Publishing, 2020, p. 012047.
A. W. Bartik, M. Bertrand, Z. Cullen, E. L. Glaeser, M. Luca, and C. Stanton, “The impact of covid-19 on small business outcomes and expectations,” Proceedings of the national academy of sciences, vol. 117, no. 30, pp. 17 656–17 666, 2020.
S. Ahmad, S. Miskon, R. Alabdan, and I. Tlili, “Towards sustainable textile and apparel industry: Exploring the role of business intelligence systems in the era of industry 4.0,” Sustainability, vol. 12, no. 7, p. 2632, 2020.
E. S. Pramono, D. Rudianto, F. Siboro, M. P. A. Baqi, and D. Julianingsih, “Analysis investor index
indonesia with capital asset pricing model (capm),” Aptisi Transactions on Technopreneurship (ATT),
vol. 4, no. 1, pp. 35–46, 2022.
N. Naz, F. Gulab, and M. Aslam, “Development of qualitative semi-structured interview guide for case study research,” Competitive Social Science Research Journal, vol. 3, no. 2, pp. 42–52, 2022.
N. M. Alsharari, M. Al-Shboul, and S. Alteneiji, “Implementation of cloud erp in the sme: evidence from uae,” Journal of Small Business and Enterprise Development, vol. 27, no. 2, pp. 299–327, 2020.
M. Moencks, E. Roth, T. Bohne, and P. O. Kristensson, “Augmented workforce: contextual, crosshierarchical enquiries on human-technology integration in industry,” Computers & Industrial Engineering, vol. 165, p. 107822, 2022.
J. N. Lester, Y. Cho, and C. R. Lochmiller, “Learning to do qualitative data analysis: A starting point,”
Human resource development review, vol. 19, no. 1, pp. 94–106, 2020.
R. S. Natow, “The use of triangulation in qualitative studies employing elite interviews,” Qualitative
research, vol. 20, no. 2, pp. 160–173, 2020.
W. C. Tan and M. S. Sidhu, “Review of rfid and iot integration in supply chain management,” Operations Research Perspectives, vol. 9, p. 100229, 2022.
S. Demigha, “Decision support systems (dss) and management information systems (mis) in today’s organizations,” in European Conference on Research Methodology for Business and Management Studies. Academic Conferences International Limited, 2021, pp. 92–IX.
O. Inderwildi, C. Zhang, X. Wang, and M. Kraft, “The impact of intelligent cyber-physical systems on
the decarbonization of energy,” Energy & Environmental Science, vol. 13, no. 3, pp. 744–771, 2020.
A. Al-Dhaqm, S. Abd Razak, K. Siddique, R. A. Ikuesan, and V. R. Kebande, “Towards the development of an integrated incident response model for database forensic investigation field,” IEEE Access, vol. 8,
pp. 145 018–145 032, 2020.
M. E. Whitman and H. J. Mattord, Principles of information security. Cengage learning, 2021.
L. Meria, C. Yohana, U. Purwohedi, D. Apriliasari et al., “Reinforcing lecturer readiness to change by increasing psychological capital and engagement,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 3, pp. 261–277, 2023.
F. Firouzi, B. Farahani, M. Weinberger, G. DePace, and F. S. Aliee, “Iot fundamentals: Definitions,
architectures, challenges, and promises,” Intelligent Internet of Things: From Device to Fog and Cloud,
pp. 3–50, 2020.
Y. L. Lee, D. Qin, L.-C. Wang, and G. H. Sim, “6g massive radio access networks: Key applications,
requirements and challenges,” IEEE Open Journal of Vehicular Technology, vol. 2, pp. 54–66, 2020.
A. Al Sadawi, M. S. Hassan, and M. Ndiaye, “A survey on the integration of blockchain with iot to
enhance performance and eliminate challenges,” IEEE Access, vol. 9, pp. 54 478–54 497, 2021.
Z. Wang, N. Wang, X. Su, and S. Ge, “An empirical study on business analytics affordances enhancing the management of cloud computing data security,” International Journal of Information Management, vol. 50, pp. 387–394, 2020.
E. Jonas, J. Schleier-Smith, V. Sreekanti, C.-C. Tsai, A. Khandelwal, Q. Pu, V. Shankar, J. Carreira,
K. Krauth, N. Yadwadkar et al., “Cloud programming simplified: A berkeley view on serverless computing,” arXiv preprint arXiv:1902.03383, 2019.
V. Agarwal, M. Lohani, A. S. Bist, and D. Julianingsih, “Application of voting based approach on deep
learning algorithm for lung disease classification,” in 2022 International Conference on Science and Technology (ICOSTECH). IEEE, 2022, pp. 01–07.
P. Leao and M. M. da Silva, “Impacts of digital transformation on firms’ competitive advantages: A
systematic literature review,” Strategic Change, vol. 30, no. 5, pp. 421–441, 2021.
L. K. Choi, A. S. Panjaitan, and D. Apriliasari, “The effectiveness of business intelligence management implementation in industry 4.0,” Startupreneur Business Digital (SABDA Journal), vol. 1, no. 2, pp. 115-125, 2022.
M. Beshley, M. Klymash, I. Scherm, H. Beshley, and Y. Shkoropad, “Emerging network technologies
for digital transformation: 5g/6g, iot, sdn/ibn, cloud computing, and blockchain,” in IEEE lnternational
Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering.
Springer, 2022, pp. 1–20.
A. R. A. Zahra, D. Jonas, I. Erliyani, N. A. Yusuf et al., “Assessing customer satisfaction in ai-powered
services: An empirical study with smartpls,” International Transactions on Artificial Intelligence, vol. 2,
no. 1, pp. 81–89, 2023.
Y. Hao, P. Helo, and A. Gunasekaran, “Cloud platforms for remote monitoring system: a comparative case study,” Production Planning & Control, vol. 31, no. 2-3, pp. 186–202, 2020.
M. Fischer, F. Imgrund, C. Janiesch, and A. Winkelmann, “Strategy archetypes for digital transformation: Defining meta objectives using business process management,” Information & Management, vol. 57, no. 5, p. 103262, 2020.
E. A. Beldiq, B. Callula, N. A. Yusuf, and A. R. A. Zahra, “Unlocking organizational potential: Assessing
the impact of technology through smartpls in advancing management excellence,” APTISI Transactions
on Management, vol. 8, no. 1, pp. 40–48, 2024.
O. Vermesan, P. Friess, P. Guillemin, S. Gusmeroli, H. Sundmaeker, A. Bassi, I. S. Jubert, M. Mazura,
M. Harrison, M. Eisenhauer et al., “Internet of things strategic research roadmap,” in Internet of thingsglobal technological and societal trends from smart environments and spaces to green ICT. River
Publishers, 2022, pp. 9–52.
W. Z. Khan, M. Rehman, H. M. Zangoti, M. K. Afzal, N. Armi, and K. Salah, “Industrial internet of
things: Recent advances, enabling technologies and open challenges,” Computers & electrical engineering, vol. 81, p. 106522, 2020.
A. Pambudi, N. Lutfiani, M. Hardini, A. R. A. Zahra, and U. Rahardja, “The digital revolution of startup
matchmaking: Ai and computer science synergies,” in 2023 Eighth International Conference on Infor-
matics and Computing (ICIC). IEEE, 2023, pp. 1–6.
J. Ramakrishnan, M. S. Shabbir, N. M. Kassim, P. T. Nguyen, and D. Mavaluru, “A comprehensive and
systematic review of the network virtualization techniques in the iot,” International Journal of Communication Systems, vol. 33, no. 7, p. e4331, 2020. IAIC Transactions on Sustainable Digital Innovation (ITSDI), Vol. 5, No. 2, April 2024, pp. 91-99
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Desy Apriani, Rizki Afrijaldi, Nur Auliya, Aden Andre Darmawan
This work is licensed under a Creative Commons Attribution 4.0 International License.
