Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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This Author published in this journals
All Journal The IJICS (International Journal of Informatics and Computer Science) Journal of Computer Science Artificial Intelligence and Communications
Yuyun Dwi Lestari
Universitas Harapan Medan, Medan
Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering

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Implementation of Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) Method in Determining The Best Employees Yuyun Dwi Lestari; Arief Budiman; Dedy Irwan; Anggi Hanafiah
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.5606

Abstract

Employees are one of the wealth owned by the company. Employees are also able to advance the company and benefit the company if the employee has good performance. Therefore, decision makers in the company must determine the best employees in order to motivate their employees to work well. Decision makers are often faced with difficulties in decision making with so much data. To avoid this, a decision support system can be used with the method of MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) which can help determine the best employees by using predetermined criteria and weights. The criteria used are attendance, letter of reprimand, appreciation, responsibility and timely reporting of duties. This Moora method can help users in determining the Best Employees with optimization values based on these criteria.
The Use of Knowledge Management Systems to Improve Decision-Making in Local Government Rusmin Saragih; Yuyun Dwi Lestari; Yessi Fitri Annisah Lubis; Divi Handoko
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 1 (2025): May 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i1.22

Abstract

Effective and data-driven decision-making has become an urgent need for local governments in facing the challenges of public service complexity, socio-economic dynamics, and demands for transparency and accountability. One of the strategic approaches to support this process is through the implementation of a Knowledge Management System (KMS). This research aims to explore the role and impact of KMS implementation on the improvement of decision-making quality in regional government organizations. A qualitative approach is used in this study with a case study method on several regional government agencies in Indonesia that have implemented KMS, combined with an analysis of related academic literature. Research results show that KMS is capable of improving the efficiency of storage, distribution, and access to organizational knowledge, both tacit and explicit. KMS supports faster, more accurate, and participatory decision-making because strategic information can be obtained and used promptly by policymakers. The findings also indicate that the success of KMS implementation is greatly influenced by organizational culture, leadership support, and the capacity of human resources in managing and sharing knowledge. This study recommends the comprehensive integration of KMS into the government work system, with an emphasis on training aspects, digital infrastructure, and internal policies that support the knowledge-sharing process. The theoretical and practical implications of these findings are an important contribution to the development of knowledge-based governance at the regional level.
Co-Authors Arief Budiman Dedy Irwan Divi Handoko Hanafiah, Anggi Rusmin Saragih, Rusmin Yessi Fitri Annisah Lubis