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Measuring Risk Factor Analysis Using PCA Method In Batik Businiess (Case Study: SMEs Batik Cirebon) Alya Az Zahraa; Naniek Utami Handayani; Sri Hartini; Ratna Purwaningsih
Advance Sustainable Science Engineering and Technology Vol 5, No 1 (2023): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i1.15229

Abstract

The number of business units that sell Batik creates a very high level of competition so that they are required to find alternatives or solutions to be superior to competitors. In addition, it is also necessary to manage business risks and pay attention to factors that support the risk of the Batik fashion business they are running. The purpose of this study was to determine and categorize the main factors supporting the risk of fashion Batik business in Cirebon. This study uses 15 initial variables of Batik fashion business risk which will be tested by means of factor analysis. The method used is Principal Component Analysis (PCA) with SPSS software. Data collection techniques using questionnaires and interviews. The sample used was 50 random respondents in the Batik fashion business unit in Cirebon. Four main factors were obtained from the variables that have been identified in the risk of Cirebon Batik fashion business. Factor 1 is called operational factors, factor 2 is called financial factors, factor 3 is called strategic factors, and factor 4 is called external factors
Development of a Movement-Triggered Inventory Checking Method for Earlier Detection of Inventory Record Inaccuracy Abdul Wahab Rambe; Sri Hartini; Naniek Utami Handayani
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.40100

Abstract

Inventory Record Inaccuracy (IRI) remains a major challenge in warehouse management because discrepancies between physical inventory and system records can disrupt material availability, operational efficiency, and managerial decision-making. Although cycle counting is widely used to maintain inventory accuracy, periodic verification may delay the detection of discrepancies caused by frequent material receipt, issuance, and relocation activities. Existing studies have largely emphasized technological solutions, including barcode systems, Radio Frequency Identification (RFID), and digital inventory platforms, while event-based verification integrated into daily warehouse operations has received limited attention. This study proposes a Movement-Triggered Inventory Checking (MTIC) method as an event-based approach to support earlier detection of inventory record inaccuracies. Design Thinking was employed to identify operational problems, develop the method, design the verification workflow, and conduct a one-month pilot implementation. The pilot involved all inventory items experiencing receipt, issuance, or relocation transactions during the observation period, totaling 75 items recorded in the MySAP/ERP system. Physical quantities were compared with SAP inventory records. The implementation identified 25 inventory discrepancies (33.33%), while 50 items (66.67%) were consistent with system records. These findings indicate that inventory discrepancies remain substantial under conventional periodic verification and highlight the importance of validating physical inventory closer to material movement events. The proposed MTIC method provides a practical event-based verification framework linking physical checks directly to recorded material movements, supporting earlier discrepancy detection and improved transaction traceability in oil and gas warehouse operations and strengthens inventory control within routine warehouse activities.