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Kurnadi, Kurnadi
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Decision Sciences, Operations Research & Management

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The Role of Blockchain in Career Development Strategy Innovation in Modern Organizations Melianto, Donny; Kurnadi, Kurnadi; Ulumiddin, Ulumiddin; Halik, Abdul
Business Management Vol 4, No 2 (2025): Business Management Mei
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/bisnis.v4i2.8589

Abstract

The aim of this research is to identify the potential of blockchain technology in overcoming problems that exist in traditional career development systems and provide insight into how organizations can use this technology to create more effective career development strategies. Blockchain offers significant potential to revolutionize career development strategies in modern organizations, by providing solutions to problems such as lack of transparency, data security and process inefficiencies[1]. This technology can be used to verify credentials, track training, manage performance, and provide personalized recommendations. Blockchain implementation requires a deep understanding of challenges and opportunities, as well as strategies to overcome issues such as scalability, costs, and regulations (Nabi, 2024). Organizations need to conduct careful cost-benefit analysis and partner with blockchain service providers to succeed
Production Optimization to Maximize Profit in Furniture Company PT. FurniCraft: Quantitative and Qualitative Approach Khairunnisah, Noni Antika; Gunardi, Effendy; Kurnadi, Kurnadi; Setiawan, Iwan; Suparta, I Made
Business Management Vol 4, No 3 (2025): Business Management Agustus
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/bisnis.v4i3.8994

Abstract

This study aims to optimize the amount of production to maximize profits at the furniture company PT. FurniCraft. The method used is a quantitative approach using Linear Programming (LP) and a qualitative approach using NVivo software to analyze the results of interviews with management. The LP model is used to determine the optimal product combination that maximizes profits based on resource limitations such as raw materials, working hours, and production capacity. Meanwhile, qualitative analysis reveals non-technical factors that affect the production process, such as workforce flexibility and production policies. The results of the analysis show that by implementing an optimization model, the company can increase potential profits by up to 18.5% from actual conditions. This finding is reinforced by the results of qualitative analysis which shows that production decisions are not entirely data-based, but rather more influenced by intuition and old habits. This study recommends the integration of analytical data in strategic decision making in the manufacturing sector.
Production Optimization to Maximize Profit in Furniture Company PT. FurniCraft: Quantitative and Qualitative Approach Khairunnisah, Noni Antika; Gunardi, Effendy; Kurnadi, Kurnadi; Setiawan, Iwan; Suparta, I Made
Business Management Vol 4, No 3 (2025): Business Management Agustus
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/bisnis.v4i3.9112

Abstract

This study aims to optimize the amount of production to maximize profits at the furniture company PT. FurniCraft. The method used is a quantitative approach using Linear Programming (LP) and a qualitative approach using NVivo software to analyze the results of interviews with management. The LP model is used to determine the optimal product combination that maximizes profits based on resource limitations such as raw materials, working hours, and production capacity. Meanwhile, qualitative analysis reveals non-technical factors that affect the production process, such as workforce flexibility and production policies. The results of the analysis show that by implementing an optimization model, the company can increase potential profits by up to 18.5% from actual conditions. This finding is reinforced by the results of qualitative analysis which shows that production decisions are not entirely data-based, but rather more influenced by intuition and old habits. This study recommends the integration of analytical data in strategic decision making in the manufacturing sector.
Co-Authors Abdul Halik Gunardi, Effendy I Made Suparta Iwan Setiawan Khairunnisah, Noni Antika Melianto, Donny Ulumiddin, Ulumiddin