Pengembangan Sistem Peramalan Permintaan Dan Manajemen Persediaan: Studi Kasus Di PT Panda Corp Indonesia

Darmawan, Refi (2025) Pengembangan Sistem Peramalan Permintaan Dan Manajemen Persediaan: Studi Kasus Di PT Panda Corp Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Peramalan permintaan dan pengelolaan persediaan merupakan aspek krusial dalam industri ritel kecantikan yang sangat dinamis. PT Panda Corp Indonesia (PCI) menghadapi tantangan overstock dan stockout akibat sistem peramalan yang masih bersifat intuitif dan kurang efektif, terbukti dari tingginya tingkat kesalahan. Penelitian ini bertujuan untuk mengembangkan sistem peramalan permintaan dan manajemen persediaan, sekaligus menganalisis serta mengevaluasi sistem PCI saat ini. Selain itu, penelitian ini membandingkan efektivitas beberapa metode peramalan untuk merekomendasikan pendekatan terbaik dalam meningkatkan akurasi dan efisiensi pengelolaan persediaan. Melalui analisis komparatif data historis permintaan, penelitian ini menghasilkan sistem yang lebih adaptif dan berbasis data. Sistem ini dikembangkan menggunakan alat bantu terotomatisasi berbasis Excel, yang mampu menyajikan data analitis secara real-time dan aplikatif. Temuan ini berimplikasi praktis pada peningkatan pengambilan keputusan dan kontribusi terhadap literatur peramalan di industri ritel kecantikan yang cepat berubah.
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Demand forecasting and inventory management are crucial aspects of the highly dynamic beauty retail industry. PT Panda Corp Indonesia (PCI) faces challenges of overstock and stockout due to its current forecasting system, which remains intuitive and less effective, as reflected in the high error rates. This study aims to develop a demand forecasting and inventory management system while analyzing and evaluating PCI’s existing processes. Additionally, the study compares the effectiveness of several forecasting methods to recommend the most suitable approach for improving inventory accuracy and efficiency. Through comparative analysis of historical demand data, the research produces a more adaptive, data-driven system. This system is developed using an automated Excel-based tool capable of presenting analytical data in real time and practical formats. The findings offer practical implications for enhancing decision-making and contribute to the forecasting literature in the fast-paced beauty retail sector.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Industri Ritel, Manajemen Persediaan, Peramalan Permintaan, Produk Kecantikan, Sistem Peramalan, Sistem Peramalan. Beauty Products, Demand Forecasting, Forecasting System, Inventory Management, Retail Industry, Forecasting System.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD55 Inventory control
Divisions:	Faculty of Creative Design and Digital Business (CREABIZ) > Business Management > 61205-(S1) Undergraduate Thesis
Depositing User:	Refi Darmawan
Date Deposited:	01 Aug 2025 01:44
Last Modified:	01 Aug 2025 01:44
URI:	http://repository.its.ac.id/id/eprint/123489

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