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

https://doi.org/10.22146/aij.v13i1.116167

Bambang Herry Purnomo(1), Ummu At-Ta'anny(2*), Bertung Suryadharma(3), Kissmy Feby Rianti(4)

(1) Department of Agroindustrial Technology Master Program, Faculty of Agricultural Technology, Universitas Jember
(2) Department of Agro-industrial Technology, Faculty of Agricultural Technology Universitas Jember, Jl. Kalimantan no 37, Sumbersari, Jember, 68121, Indonesia
(3) Department of Agro-industrial Technology, Faculty of Agricultural Technology Universitas Jember, Jl. Kalimantan no 37, Sumbersari, Jember, 68121, Indonesia
(4) Department of Agro-industrial Technology, Faculty of Agricultural Technology Universitas Jember, Jl. Kalimantan no 37, Sumbersari, Jember, 68121, Indonesia
(*) Corresponding Author

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.


Keywords


jember regency; robusta coffee; SCOR model; small-scale agroindustry; supply chain performance

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DOI: https://doi.org/10.22146/aij.v13i1.116167

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