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Journal : Journal of Business Management and Economic Development

Analysis of Communication, Knowledge Management, Teamwork, Ability, and Performance of Private Sector Employees in the City of Semarang Tyoso, Jaluanto Sunu Punjul; Sukardi, Sukardi; Mahesa, Deewar
Journal of Business Management and Economic Development Том 2 № 01 (2024): Journal of Business Management and Economic Development
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jbmed.v2i01.515

Abstract

The objective of this study is to scrutinize the impact of communication, knowledge management, teamwork, and capability on the performance of employees. The research utilized a quota sampling technique, involving a total of 344 employees. The factors under investigation were communication, knowledge management, teamwork, capability, and employee performance. The results from the hypothesis testing indicated that communication significantly improves employee performance. Moreover, it was discovered that capability considerably augments employee performance via knowledge management and teamwork. The research emphasizes the crucial contribution of capability in enhancing employee performance. It was also verified that knowledge management and teamwork significantly contribute to employee performance. To sum up, this study offers important perspectives on the elements affecting employee performance, underlining the significance of communication, knowledge management, teamwork, and capability.
Inventory-based Business Strategy using FP-Growth at PT. Pinus Merah Abadi, Kendal Regency Pertiwi, Wahyu Ayuni; Tyoso, Jaluanto Sunu Punjul
Journal of Business Management and Economic Development Том 2 № 02 (2024): Journal of Business Management and Economic Development
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jbmed.v2i02.793

Abstract

This study aims to analyze inventory optimization using the Frequent Pattern Growth (FP Growth) algorithm, in relation to business strategy and/or accounting information systems, which a knowledge gap in previous research is as described above is the lack of knowledge about the application of the FP Growth algorithm in inventory optimization. This study was based on one year of sales and inventory data from a snack and beverage company, as a case study employing private data. A total of 3,370 transaction data samples were processed using RapidMiner data mining with FP growth algorithm. The results of both methods showed that the inventory level must be sufficient and produced two categories, namely large stock and small stock. The findings of this study indicated that the company has closely optimized its inventory since there were some products that were not involved in the association rules of sales.