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Implementasi Sistem Pendukung Keputusan Berbasis Metode Simple Additive Weighting untuk Rekrutmen Sumber Daya Manusia Oslan Juliana Simbolon; Sitompul, Pandapotan; Tarigan, Miska Irani Br; Sitanggang, Lestari; Sirait, Ritawati
Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) Vol. 5 No. 04 (2025): Vol. 5 No. 04 (2025): Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jasmien.v5i04.1232

Abstract

Human Resource Management (HRM) in a company is a strategic approach in managing the workforce so that it can contribute optimally to achieving the company's goals. HRM covers various aspects, such as recruitment, selection, training, development, performance appraisal, compensation, to employment relations and employee welfare. The main objective of HRM is to ensure that the company has a competent, motivated, and productive workforce, and to create a work environment that is conducive to individual and organizational growth. With good management, companies can improve operational efficiency, employee satisfaction, and competitiveness in the market. The recruitment process can lead to subjectivity and unfair decision making. This study aims to implement a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method to assist the Human Resource Recruitment process needed by a company objectively and systematically. The research methodology uses a quantitative approach with case studies on companies in the recruitment process. Data collection was carried out through surveys, interviews with HR managers, and analysis of historical employee data based on five main criteria: sales performance, creativity, communication skills, work experience, and loyalty. The results showed that the SAW method provides accurate recommendations in determining the best candidates based on their relative proximity to the ideal solution. The analysis also identified that sales performance is the most dominant factor in decision making, with the highest weight. The implementation of a SAW-based Decision Support System can improve the efficiency and accuracy of decision making while reducing subjectivity in the employee recruitment process. The DSS process concluded that this system can be an effective solution in supporting HR decision making based on data-based analysis and objective evaluation.
Analysis of the Importance of Knowledge Management on Organizational Performance in the Digital Era Indriyani Sinurat; Oslan Juliana Simbolon; Petra Aprianti Gultom; Miska Irani Tarigan
Global Economics: International Journal of Economic, Social and Development Sciences Vol. 2 No. 4 (2025): December: Global Economics - International Journal of Economic, Social and Deve
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globaleconomics.v2i4.388

Abstract

The digital era demands that organizations be fast-moving, adaptable, and innovative. With the advancement of information technology, changes in work methods, global competition, and stakeholder demands are becoming increasingly complex. Knowledge Management (KM) plays an important role as a strategic mechanism for identifying, acquiring, storing, sharing, and utilizing knowledge to improve organizational effectiveness and efficiency. In this context, knowledge management becomes one of the important elements for organizations to enhance performance. Knowledge management is not just about collecting data or information, but how organizations can store, share, create, and utilize knowledge to gain a competitive advantage. This article aims to analyze the importance of knowledge management for organizational performance in the digital age, including how the digital era changes the dimensions of knowledge management, how knowledge management contributes to organizational performance, the challenges faced, and their implications. The data obtained for this study were gathered from observations thru interviews with relevant parties and a literature review study by examining the results of empirical research from the past five years (2020–2025). The method used was descriptive literature analysis of 15 scientific articles from accredited national journals. The analysis focuses on the relationship between knowledge management dimensions (knowledge creation, storage, sharing, and application) and organizational performance indicators (financial performance, innovation, productivity, and customer satisfaction). The study results show that the implementation of knowledge management significantly contributes to improving organizational performance, both directly thru increased efficiency and effectiveness of work processes, and indirectly thru strengthening a culture of innovation and organizational learning. This article asserts that an organization's success in the digital age is not solely determined by its ability to adopt technology, but also by its ability to manage and leverage knowledge as a strategic resource. Therefore, knowledge management needs to be systematically integrated into the organization's digital strategy, accompanied by strengthening a learning culture, human resource training, and adaptive information technology systems.