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Aplikasi Database Untuk Mengelola Persediaan Barang di Toko Baju D’Clothing Menggunakan Pendekatan Entity Relationship Chart Zerlinda, Frea Marva; Zulfa Zaidan, Muhammad; Fisrawati; Hadias Safitri, Novia; Fathan Nabil Al-Badi, Muhammad
Jurnal Sains Indonesia Vol. 4 No. 1 (2023): Volume 4, Nomor 1, 2023 (Maret)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v4i1.124

Abstract

D’Clothing store is one of the clothing stores located in Bogor that provides many choices for various ages, both women and men. Based on the interviews, D'Clothing store had some troubles in product management, starting from inventory data, suppliers data, sales data, et cetera. To overcome this problem, a new system is needed to facilitate management by utilizing technological products, which as creating a database. The output of this database is to make a form containing the name, stock, color, size, code, and price of the goods. In its preparation, there are several obstacles such as data being out of sync between the main table and other tables when building a relationship. After being analyzed, this issue happens due to the wrong placement of the primary key and records between tables. Another error is found in the placement of the formula when building the Query design. Therefore, it takes precision and logic to find a way out.
Analisis logika Fuzzy Sugeno dan Pengambilan Keputusan untuk meningkatkan produksi roti manis pada Tandi’s Homemade Bakery Zerlinda, Frea Marva; Zaidan, Muhammad Zulfa; Akifah, Nur; Devrida, Safira Putri; Sinaga, Helsan Davidson
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.37688

Abstract

Tandi’s Homemade Bakery, a small-medium enterprise, faces challenges in improving the quality and quantity of its sweet bread production, particularly in optimizing the production process and determining effective strategies. This study aims to analyze decision-making using the Fuzzy Sugeno Logic and Analytical Hierarchy Process methods as approaches to support production enhancement. The Fuzzy Sugeno method is applied to evaluate bread maturity levels based on parameters such as dough kneading time of 43 minutes, baking temperature of 173 degrees Celsius, and baking time of 60 minutes, with the goal of identifying optimal conditions to achieve high-quality bread. Meanwhile, the Analytical Hierarchy Process method is employed to establish alternative strategies for production improvement by analyzing criteria such as product quality, raw material efficiency, and operational costs. The findings suggest that integrating Fuzzy Sugeno and Analytical Hierarchy Process methods can provide structured planning recommendations, supporting Tandi’s Homemade Bakery in making informed decisions to enhance sweet bread production with superior quality. 
Evaluasi Kinerja Pengelolaan Persediaan Finished Goods dengan Metode SCOR DS Zerlinda, Frea Marva; Jati Pangestu, Fattah; Prayudha Hidayat, Agung; Husen Santosa, Sesar
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 4 (2026): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Finished goods warehouse management plays a crucial role in ensuring the smooth distribution process within manufacturing companies. This study aims to evaluate inventory management performance to address the phenomenon of overcapacity resulting from inventory buildup. The evaluation was conducted using the Supply Chain Operations Reference Digital Standard (SCOR DS) framework. Through a breakdown analysis, it was found that the strategic metric Cash-to-Cash Cycle Time had the lowest performance, caused by the critical value of the operational metric Inventory Days of Supply, which was 0.03978. This finding proves that the length of time goods remain in the warehouse due to the absence of a standardized inventory movement classification system is the main cause of overcapacity. The research recommendations focus on synchronizing capacity planning to reduce storage duration and optimize warehouse space utilization.