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Enhancing retailer efficiency of agroindustrial product: A DEA approach based on SCOR perspective Dania, Wike Agustin Prima; Ardiasti, Alvina Ovilia; Rohmah, Wendra Gandhatyasri; Lu'ayya, Naila Maulidina
AGROINTEK Vol 19, No 4 (2025)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v19i4.27724

Abstract

Retailer performance is critical for enhancing supply chain operations and achieving a competitive advantage in the food industry. It directly impacts customer satisfaction, profitability, and overall supply chain effectiveness. CV. LMN is an Indonesian apple cider drink manufacturer that involves 36 retailers in distributing its products to consumers. While the success of the marketing process relies on the retailers, the company has not previously assessed their performance. This research aims to examine CV's retailer performance. LMN using Data Envelopment Analysis from the Supply Chain Operations Reference (SCOR) perspective. The SCOR model's attributes of plan, source, deliver, and return served as the foundation for selecting evaluation factors. A CRS output-oriented DEA model was utilized to assess how efficiently retailers can increase their outputs without altering their resource consumption. The result shows that 6 out of 36 retailers are marginally efficient, indicating a potential for performance improvement and getting closer to the efficient frontier related to cash-to-cash cycle time, order received damage-free, fill rate, and customer complaints. These retailers can enhance their efficiency by implementing strategies such as reducing inventory levels, applying safety stock, negotiating payment terms with distributors, improving material handling during storage, and pre-checking products before delivery.
Power imbalances and socio-demographic barriers in robusta coffee value chain: Insights from Malang Regency, Indonesia Hadi, Yuswono; Soemarno, Soemarno; Dania, Wike Agustin Prima; Astuti, Retno
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 8, No 3 (2025)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2025.008.03.6

Abstract

This study investigated power imbalances and inefficiencies in the Robusta coffee value chain in Malang Regency, Indonesia, employing an integration of the Structure-Conduct-Performance (SCP) framework and Value Chain Analysis (VCA). As the world’s fourth-largest coffee producer, Indonesia’s sector relied on smallholder farmers, who constituted 98% of producers but faced systemic marginalization. Drawing on survey data from 2,122 smallholder farmers and interviews with 26 traders, the analysis revealed a highly concentrated market structure, with four local collectors controlling 58% of trade and a single exporter dominating 68% of production. Farmers, despite generating 89% of value-added, retained only 50% of the consumer price due to exploitative intermediaries and informal pricing. Socio-demographic challenges, such as an aging workforce (92.5% over 45 years) and gender disparities (8.33% female participation), further hindered innovation and equity. The SCP-VCA integration uniquely exposed how market concentration enabled intermediaries to externalize costs, capturing 45.7% of the consumer price as profit, while farmers bore disproportionate labor. Policy implications emphasized digital transparency tools, farmer cooperatives, and certification subsidies to rebalance power dynamics. Demographic reforms, including youth engagement programs and gender-inclusive governance, were critical to addressing structural vulnerabilities.
Supply chain efficiency of geographical indication arabica coffee: Case study in Pasuruan Perdana, Randhiki Gusti; Sucipto, Sucipto; Dania, Wike Agustin Prima; Tolle, Herman
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 8, No 3 (2025)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2025.008.03.7

Abstract

Arabica coffee from Pasuruan is one of Indonesia's flagship commodities, demonstrating strong competitiveness in both domestic and international markets. However, farmers frequently face obstacles related to market information access, which hinders their ability to identify trading partners that offer optimal profits. This study aims to examine the structure and efficiency of the Arabica coffee supply chain in Pasuruan. A random sampling technique was employed, involving 44 coffee farmers, 10 collectors, 5 wholesalers, and 1 exporter. Supply chain performance was evaluated through product and information flow analysis. Supply chain efficiency was measured using the farmer's share metric, which reached 82%. The study found that the supply chain structure consists of farmers, collectors/processors, wholesalers, and exporters. The supply chain flow includes product, information, and financial movements. Farmers obtain price information mainly from wholesalers and collectors, while wholesalers and exporters base their pricing on international coffee market benchmarks. Based on the farmer's share approach, marketing channels II, III, and IV were identified as efficient. The findings suggest that enhancing farmers' access to market information, strengthening farmer cooperatives, and improving infrastructure can further increase supply chain efficiency and strengthen farmers' bargaining positions, providing valuable input for policymakers and stakeholders aiming to develop more sustainable and inclusive coffee value chains.
Risk assessment in sustainable food supply chains: A holistic approach by using HOR-SWOT-ANP/AHP to ensuring performance improvement Prima Dania, Wike Agustin; Lu’ayya, Naila Maulidina; Septifani, Riska
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 7, No 1 (2024)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2024.007.01.4

Abstract

The global food supply chain plays an essential role in economic development while addressing environmental and social issues in its business system. However, this complex network is exposed to various risk factors related to sustainability that can disrupt the supply chain performance. CV. XYZ is a food manufacturer that produces jackfruit chips in Indonesia. During the supply chain process, this company needs to manage the various risks across the supplier, manufacturer, and retailer stages. By identifying and evaluating risks at each stage, mitigation and improvement strategies can be proposed. Therefore, this research aimed to analyze the supply chain risk mitigation and performance improvement strategies for maintaining supply chain stability and performance. House of Risk (HOR) was applied to analyze the mitigation strategies, while SWOT with analytical networking process (ANP) or analytical hierarchy process (AHP)/ (i.e., SWOT-ANP/AHP method)was used for analyzing performance improvement strategies by considering the weight of each factor. The result shows that twelve mitigation strategies are needed to mitigate the fourteen risk agents that focus on improving production activities and human resources. Moreover, eleven strategies have been proposed to improve sustainable supply chain performance in the future, focusing more on marketing activities and enhancing human resource capabilities.
Production risk management of prawn crackers using fuzzy FMEA and fuzzy AHP methods Atmaka, Sri Dharma Cyntya; Santoso, Imam; Dania, Wike Agustin Prima
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 7, No 2 (2024)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2024.007.02.4

Abstract

Prawn crackers hold a significant position within Indonesia's agro-industrial product landscape. The industrial process involved in their production is fraught with potential risks that could result in substantial losses for companies. PT. XYZ, a prominent prawn cracker producer in Indonesia, grapples with various risks, including non-compliant raw material supplies, machinery and equipment breakdowns, product defects, and process failures. Hence, there is an imperative need for comprehensive risk management involving further analysis, identification of potential failure modes, and formulation of mitigation strategies to curb losses. This research aims to ascertain the priority of potential failure modes and their corresponding mitigation strategies in the prawn cracker production process at PT. XYZ. The study employs risk analysis through the Fuzzy Failure Mode and Effect Analysis (Fuzzy-FMEA) method and determines mitigation strategies using the Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) method. The findings reveal 11 identified failure modes in PT. XYZ's prawn cracker production process, with machinery and equipment damage emerging as the top-priority failure mode, giving a Fuzzy Risk Priority Number (FRPN) value of 7.620. The recommended mitigation strategy involves intensifying inspections of production machinery and equipment, both before and after use by workers, with a weight of 0.368.