Analisis Data dalam Supply Chain Management: Klasifikasi dan Pemantauan Data Gudang PT Rajawali Nusantara Indonesia

Penulis

  • Karen Natalie Universitas Matana, Tangerang-Indonesia 15810
  • Bakti Siregar Universitas Matana, Tangerang-Indonesia 15810

DOI:

https://doi.org/10.47662/farabi.v7i1.705

Kata Kunci:

Supply Chain Management, Warehouse Data Classification, Real-Time Monitoring

Abstrak

This internship report discusses the application of data analysis in supply chain management, with a focus on classification and monitoring of warehouse data at PT Rajawali Nusantara Indonesia. In this report, Excel and R Studio are adopted as data analysis tools to improve efficiency in warehouse management. This research covers two main aspects: first, implementation of a warehouse data classification system using R Studio and Excel to optimize the allocation and placement of goods. Second, using R Studio and Excel for real-time monitoring of warehouse activities, including item selection, delivery, and inventory conditions. Through an experimental approach and historical data analysis, this research evaluates the impact of using Excel and R Studio on operational efficiency and warehouse response speed. The results are expected to provide insight for companies in improving warehouse management.

Referensi

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Unduhan

Diterbitkan

2024-05-20

Cara Mengutip

Natalie, K., & Siregar, B. (2024). Analisis Data dalam Supply Chain Management: Klasifikasi dan Pemantauan Data Gudang PT Rajawali Nusantara Indonesia. FARABI: Jurnal Matematika Dan Pendidikan Matematika , 7(1), 16–24. https://doi.org/10.47662/farabi.v7i1.705

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