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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.
Evaluasi Kepuasan Pelanggan terhadap Fitur Aplikasi X Menggunakan Metode Servqual Wahyudi, Bayu; Agustino, Salindra; Negara, Palmadi Putri Surya; Mahmud, Ahya
Integrasi: Jurnal Ilmiah Teknik Industri Vol 10 No 2 (2025): Integrasi : Jurnal Ilmiah Teknik Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/integrasi.v10i2.1234

Abstract

Kepuasan pelanggan merupakan faktor penting dalam menjaga keberlanjutan perusahaan, termasuk pada layanan berbasis aplikasi digital. Aplikasi X dengan jumlah unduh lebih dari 1 juta kali hadir sebagai inovasi layanan otomotif untuk memberikan kemudahan bagi pengguna, namun tingkat kepuasan pelanggan terhadap fitur-fiturnya perlu dievaluasi. Dimana masih ditemukan banyak komentar atau penilaian negatif terhadap layanan yang diberikan oleh Aplikasi X, terutama di Play Store. Sehingga diperlukan analisis mendalam mengenai penilaian persepsi dan penyebab rendahnya kepuasan pengguna tersebut. Penelitian ini ingin mengidentifikasi kepuasan pengguna layanan Aplikasi X sebagai kontribusi praktis dalam menyusun strategi peningkatan layanan menggunakan metode servqual. Penelitian ini melibatkan 300 pengguna aktif aplikasi X di kota Palembang pada periode Juli–Oktober 2023 dengan teknik purposive sampling. Analisis menunjukkan seluruh dimensi memiliki nilai gap negatif, kecuali satu atribut pada dimensi responsiveness (X3.4) dengan nilai positif sebesar 0,05. Dimensi dengan gap negatif terbesar adalah empathy (–1,80), diikuti oleh reliability, tangible, dan assurance, yang mengindikasikan bahwa aplikasi belum sepenuhnya memenuhi harapan pengguna. Hal ini disebabkan oleh tampilan visual aplikasi yang dianggap kurang menarik, sering terjadi gangguan teknis, bug, lambat respon, serta keraguan pengguna mengenai keamanan data pribadi. Berdasarkan temuan ini, maka sangat disarankan bahwa kualitas layanan aplikasi X masih perlu ditingkatkan.
Integrating Digitalization in Supply Chain Performance Evaluation of the Zinc Industry through the Analytic Network Process (ANP) Fole, Asrul; Safitri, Khoerun Nisa; Aini, Nurul; Negara, Palmadi Putri Surya
Journal of Industrial System Engineering and Management Vol. 4 No. 2 (2025): Journal of Industrial System Engineering and Management (Edisi November)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v4i2.55

Abstract

The zinc industry faces significant challenges in improving supply chain performance due to complex production, distribution, and quality control systems, as well as uneven digitalization that limits real-time monitoring and decision-making. This study develops a digitalization-based supply chain performance evaluation model using the Analytic Network Process (ANP) to determine priority weights of key performance indicators (KPIs). Data were collected from 15 industry experts with 15–20 years of experience. The analysis shows that Reliability (0.32) and Cost Efficiency (0.26) are the most influential dimensions, followed by Responsiveness (0.19), Flexibility (0.13), and Asset Management (0.10). The highest-priority KPIs are On-Time Delivery (0.0518) and Order Fulfillment Rate (0.0506), while Capacity Utilization Ratio (0.0033) has the lowest weight. Integrating digital systems such as ERP, IoT, and MES enhances real-time visibility, data accuracy, and responsiveness—reducing production delays by 18%, improving logistics cost efficiency by 12%, and increasing delivery reliability by 20%. The ANP-based model thus provides an objective, data-driven foundation for continuous performance improvement and strategic decision-making.
ANALYTICAL HIERARCHY PROCESS (AHP) APPROACH IN DETERMINING PRODUCT-BASED MARKETING STRATEGIES FOR MSMEs Nurfadila, Agustin Rani; Varian, Ahmad; Negara, Palmadi Putri Surya; Dwicahyo, Agung
Agrisaintifika: Jurnal Ilmu-Ilmu Pertanian Vol. 9 No. 3 (2025): Agrisaintifika
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ags.v9i3.7071

Abstract

One of the priorities of development in the Government Work Plan is the development of Micro, Small, and Medium Enterprises (MSMEs). This research aims to formulate a marketing strategy for the MSME engaged in processing rengginang in Mojopitu Village, Slahung District, Ponorogo Regency, in order to enhance competitiveness and expand market reach. MSMEs play a strategic role in the regional economy, especially in creating jobs and driving economic growth. One of the MSMEs in Mojopitu Village produces rengginang, which still faces various challenges in marketing. The method used is the Analytical Hierarchy Process (AHP) supported by Microsoft Excel to analyze the best marketing strategies based on interviews with experts and MSME practitioners. Primary data was obtained through direct interviews, while secondary data was collected from literature reviews and related reports. The research results indicate that the main factor with priority is the product with a maximum weight of 0.666, showing that product innovation and quality play a key role in business success. Regarding the objectives, it is argued that increasing sales with a weight of 0.818 is the top priority, and that marketing strategies should focus on increasing sales volume. The most effective alternative strategy is digital marketing with a maximum weight of 0.620. This suggests that the use of technology and digital platforms is a key step in enhancing competitiveness and achieving marketing goals. Therefore, it is recommended to prioritize product innovation, increase sales, and trigger digital marketing strategies to enhance competitiveness and sustainable growth.