Agroindustrial Journal
Vol 13, No 1 (2026)

Performance Analysis of the Supply Chain of Small-Scale Robusta Coffee Agroindustry in Jember Regency

Bambang Herry Purnomo (Department of Agroindustrial Technology Master Program, Faculty of Agricultural Technology, Universitas Jember)
Ummu At-Ta'anny (Department of Agro-industrial Technology, Faculty of Agricultural Technology Universitas Jember, Jl. Kalimantan no 37, Sumbersari, Jember, 68121, Indonesia)
Bertung Suryadharma (Department of Agro-industrial Technology, Faculty of Agricultural Technology Universitas Jember, Jl. Kalimantan no 37, Sumbersari, Jember, 68121, Indonesia)
Kissmy Feby Rianti (Department of Agro-industrial Technology, Faculty of Agricultural Technology Universitas Jember, Jl. Kalimantan no 37, Sumbersari, Jember, 68121, Indonesia)



Article Info

Publish Date
29 Jun 2026

Abstract

The sustainability of coffee supply chain operations is heavily dependent on effective performance measurement systems that can identify and mitigate operational risks. This study analyzes supply chain performance of robusta coffee production at Banjarsengon Coffee House, Jember Regency, through assessment using the Supply Chain Operation Reference (SCOR) model version 11.0 at Level 1. Data were collected via structured interviews conducted in October–November 2021 with two internal supply chain experts (owner and head of marketing). Three of the eight metrics evaluated based on the four SCOR attributes (reliability, responsiveness, agility, and asset management) received top ratings: order fulfillment time (2.5 days), flexibility (6.2 days), and cash-to-cash cycle time (10 days). The other four metrics were classified as advantage: delivery performance (93%), order fulfillment (96%), order fulfillment cycle time (6 days), and daily inventory (0.31 days). Based on these results, it can be said that small-scale coffee agroindustries operating in resource-constrained contexts can achieve competitive supply chain performance through targeted operational improvements. The findings are applicable to enterprises with similar characteristics, though their generalizability is limited by the single-case design and reliance on expert judgment rather than comprehensive transaction-level records.

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Journal Info

Abbrev

agroindustrial

Publisher

Subject

Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences

Description

The journal publishes original research paper and review paper based on topics coverage but not limited to: 1. Industrial systems and management 2. Bio-industry 3. Production systems 4. Quality analysis and standardization 5. Systems analysis and industrial simulation 6. Product engineering and ...