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All Journal Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science)
Afifah, Sofie Amalia
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice

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Implementation of the AHP Method in Determining the Completion of Logistics Warehouse Stock Buildup Using the Expert Choice Application: Implementasi Metode AHP dalam Menentukan Penyelesaian Penumpukan Stok Gudang Logistik Menggunakan Aplikasi Expert Choice Afifah, Sofie Amalia; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1497

Abstract

The development of logistics services that are increasing has caused an increase in customers of PT. Astrans Putra Logistik also increased, this resulted in the logistics warehouse capacity experiencing a buildup of goods that almost filled the warehouse capacity which made operational activities disrupted, and many complaints from customers. Resolution to overcome this warehouse problem needs to be done so that the company’s operational efficiency is not disrupted and warehouse stock capacity becomes better. This study aims to find out the best solution of warehouse problems that occur through a decision making support system design using the AHP method assisted by the use of the Expert Choice 11 application. In making this decision, 4 stages are carried out, namely Intelligence, Design, Choice, and Analysis of Assessment Result which in the process have a 4 kinds of criteria and 4 kinds of alternative solutions. From the calculation of the AHP method assisted by the use of the Expert Choice 11 application, the weight of each criterion was obtained, namely Increased Operational Efficiency getting a weight of 0,259, Number of Items that can be Accommodated getting a weight of 0,086, Company Income getting a weight of 0,495, and Company Expense getting a weight of 0,160. From the calculation of alternative settlements, it was also found that The Addition of a New Departure Fleet got a weight of 0,385, The Construction of Branch Goods Warehouse got a weight of 0,279, Upgrading Small Trucks to Large Trucks got a weight of 0,187, and The Application of a Pre-order system for customers got a weight of 0,149.
Logistics Risk Mitigation Strategy Using RBS and HOR Integration: Strategi Mitigasi Risiko Logistik dengan Mengintegrasikan RBS dan HOR Afifah, Sofie Amalia; Wahyuni, Hana Catur
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2094

Abstract

General Background: Logistics services play a critical role in supply chain performance, particularly in ensuring timely and accurate goods delivery. Specific Background: PT. APL faces recurring operational issues in delivery activities, including delays, damages, and discrepancies, which lead to financial losses due to customer claims. Knowledge Gap: Existing studies often apply risk analysis methods separately, leaving limited integration between structured risk identification and mitigation prioritization approaches. Aims: This study aims to identify, prioritize, and develop risk mitigation strategies in logistics service operations using an integrated Risk Breakdown Structure (RBS) and House of Risk (HOR) approach. Results: The analysis identified 18 risk events across six delivery stages caused by 29 risk agents, with the highest Aggregate Risk Potential value reaching 2,752. The study proposed four main mitigation priorities based on Effectiveness to Difficulty values, including double checking systems, checklist implementation, employee training, and operational standard setting. Novelty: This research demonstrates a structured integration of RBS and HOR to systematically connect risk identification, prioritization, and mitigation strategy development in logistics operations. Implications: The findings provide practical guidance for logistics companies in reducing operational risks and improving service quality through targeted and prioritized mitigation actions. Keywords: Logistics Risk, Risk Breakdown Structure, House of Risk, Risk Mitigation, Supply Chain Management Key Findings Highlights Identification reveals multiple delivery-stage vulnerabilities with dominant human-related causes Priority ranking isolates critical sources requiring immediate operational attention Structured actions focus on procedural control, workforce capability, and verification systems
Co-Authors Atikha Sidhi Cahyana Hana Catur Wahyuni