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PENGENDALIAN PERSEDIAAN INTERMITTENT DEMAND BERBASIS FSN DAN CROSTON-TSB Sasha Safira Nuraini; Indra Gita Anugrah; Widyasari Puspa Permata Witra
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 3 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/mtk52p96

Abstract

Ketidakefisienan pengelolaan persediaan di gudang PT XYZ Cirebon disebabkan oleh proses pengadaan yang reaktif dan pola intermittent demand yang mengakibatkan overstock dan understock. Penelitian ini bertujuan mengklasifikasikan produk menggunakan analisis FSN berbasis TOR dan DOI, merancang kebijakan persediaan terpadu melalui peramalan Croston-TSB, serta menetapkan safety stock, Reorder Point (ROP), dan jadwal cycle count guna menekan risiko ketidakseimbangan stok dan meningkatkan efisiensi operasional gudang. Data terdiri dari 1.818 catatan stok harian 9 produk semen dan mortar periode Januari–Juli 2025. Hasil FSN menunjukkan 6 produk Fast Moving dan 3 Slow Moving. Seluruh produk aktif berpola intermittent, dengan akurasi terbaik pada Semen PCC Zak 40KG (rel_MAE 24,16%). Tiga produk Fast Moving utama menyumbang lebih dari 94% total permintaan dan menjadi prioritas utama kebijakan pengendalian stok, sementara produk Slow Moving tetap memperoleh kebijakan safety stock dan ROP tersendiri guna mencegah overstock akibat rendahnya perputaran persediaan. Kata Kunci: FSN, Croston-TSB, Intermittent Demand, Safety Stock, Reorder Point
Pemanfaatan Visualisasi Data dalam Business Intelligence untuk Strategi Bisnis Perusahaan Retail Sasha Safira Nuraini; Azzumardi Mubarok Romadhoni; Muhammad Akmal Faris Taqiyuddin; Ma’had Wicaksono
Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis Vol. 3 No. 3 (2025): Juli : Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manuhara.v3i3.1992

Abstract

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.