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Journal : Agroindustrial Technology Journal

Strategies for Enhancing Supply Chain Efficiency in the Agricultural Sector Through the Implementation of the SCOR Racetrack Method: Strategies for Enhancing Supply Chain Efficiency in the Agricultural Sector Through the Implementation of the SCOR Racetrack Method Safitri, Khoerun Nisa; Fole, Asrul; Aini, Nurul; Negara, Palmadi Putri Surya
Agroindustrial Technology Journal Vol. 9 No. 1 (2025): Agroindustrial Technology Journal [ATJ]
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/atj.v9i1.14299

Abstract

Supply chain efficiency in the agricultural sector is a key factor in enhancing productivity and competitiveness. This study aims to analyze strategies for improving supply chain efficiency through the implementation of the SCOR Racetrack method using a quantitative and descriptive approach. Data were collected through surveys and interviews with 150 respondents, consisting of farmers, distributors, and retailers in several agricultural regions in Indonesia. The analysis was conducted using Quantitative Method with Descriptive and Analytical Design methods and supply chain efficiency. The results indicate that the SCOR Racetrack method can improve operational efficiency by 30%, reduce delivery cycle time by 25%, and increase customer satisfaction by up to 40%. The implementation of digital technology in the supply chain contributes to an efficiency increase of 50.9%, while logistics costs decreased by 28% and product damage rates were reduced by 41.6%. Regional analysis shows that South Sulawesi exhibits the highest efficiency level, while West Sumatra still faces challenges in distribution optimization. Key factors influencing the success of implementation include collaboration among stakeholders, adoption of information technology, and enhancement of human resource capabilities. Thus, this study emphasizes that the SCOR Racetrack method can serve as a strategic solution in building a more efficient, sustainable, and competitive agricultural supply chain. Recommendations for future research include the development of an adaptive model based on artificial intelligence to improve demand forecasting and inventory management in the agricultural sector. Keywords: Supply Chain, SCOR Racetrack, Efficiency, Logistics, Agricultural.
Co-Authors 'Aini, Nurul A. Dwi Wahyuni P. Abdul Mail Abdul Rahman Nasrun Ahmad Ikram Ahmad Padhil Ahmad, Arfandi Aini Nurul Alifah Dwi Wulandari Putri Alisyahbana , Takdir Alisyahbana, Takdir Almuhajirin, Yamin Andi Pawennari Andi Rizal Anis Saleh Asjun, Asjun Asnidar Asnidar Chantika, Aulia Marista Dewi Dion Fahrizal H DG Pacidda Dwi Handayani Erniyani, Erniyani Gunawan, Alam Hafid, Muhammad Fachry Hafid, Mummmad Fachry Hasan, Muhammad Rafli Iffah, Nurul Immawan, Taufik Irma Nur Afiah Januar Kulsaputro Jumratun, Jumratun Khoerun Nisa Safitri Khoerun Nisa Safitri Kusrini, Elisa Lamatinulu Ahmad Lamatinulu, Lamatinulu Luqman Saiful Fikri, Muhammad Magfirahwati, Magfirahwati Mail, Abdul Mubaraq, Husni Muh. Ridzwan Muhammad Alfarabi Muhammad Dahlan Muhammad Dahlan Muhammad Dahlan Muhammad Fachry Hafid Muhtada, Ahmad Mujaddid Mujaddid, Mujaddid Muliang, Achmad Alakhir Musdalifah Musdalifah Yusran, Umniyah Muslimin, Istyqamah Musytari, Musytari Negara, Palmadi Putri Surya Ningsih, Kurnia Nur Ihwan Safutra Nurfadillah Nurfadillah Nurul Aini Nurul Chairany Nusran, Muhammad Pangestu, Fausan Amal Pawenari, Andi Pratiwi, Nurham Elok Purnama, Edrio Magenda Purnamasari Anwar, Dian Rafsanjani, Ashemi Agung Rahmaniah Malik Rahmat Yusuf Raodah Raodah, Raodah Rasdi Rasdi, Rasdi Rasyiqah, Alifah Rauf, Nurhayati Riana, Riska Iva Rizki Febriani Rusli, Iwan Anzari Sumir, Devina Tahir, Muh Ridwan Taufiq Immawan, Taufiq Tosalili, Munajir Ukkas Wahyuni P, A. Dwi Widi Astutik Widi Astutik Wiguna, Arya Cipta Yan Herdianzah Yanasim, Nurwindy