Design of an Integrative Production Management Information System for Milkfish-Processing SMEs: A Sidoarjo Case Study Using F-AHP, VSM, and RULA

Rudi Kurniawan; Enik Sulistyowati; Iis Riyana; Nur Hamidah; Abd Azis

doi:10.35891/cbtbkc62

Authors

Rudi Kurniawan Universitas Nahdlatul Ulama Pasuruan Indonesia
Enik Sulistyowati
Iis Riyana
Nur Hamidah
Abd. Azis

DOI:

https://doi.org/10.35891/cbtbkc62

Keywords:

Management Information System, Fuzzy-AHP, Value Stream Mapping, Ergonomics, Milkfish SMEs

Abstract

Small milkfish-processing enterprises often manage supplier reliability, production delays, and worker safety separately. This study designed and analytically evaluated an integrated Production Management Information System (PMIS) for a 12-worker enterprise in Sidoarjo, Indonesia. Using a design-science approach, data were gathered over 14 production days from three decision-makers, seven processing stations, and three deboning workers. Supplier priorities were assessed using the Fuzzy Analytic Hierarchy Process, production flow using Value Stream Mapping, and working postures using Rapid Upper Limb Assessment. Product quality consistency (weight 0.342) and delivery reliability (0.261) were the leading supplier criteria; only Supplier A met the acceptance threshold. Non-value-added activities accounted for 38.7% of production lead time, while deboning was the main bottleneck. All three assessed workers received the highest ergonomic risk score (7). The proposed system combines supplier classification, production alerts, and worker-rotation rules in one decision framework. Scenario estimates suggest that reducing inter-station waiting by 25–50% could shorten lead time by 5.1–10.1%. A proposed 20-minute rotation limit could reduce uninterrupted high-risk exposure by at least 66.7%. These are design estimates, not observed post-implementation outcomes. The system offers practical, low-cost decision support for labor-intensive food-processing enterprises.

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Author Biography

Rudi Kurniawan, Universitas Nahdlatul Ulama Pasuruan Indonesia

I am a lecturer in the Industrial Engineering Department at Nahdlatul Ulama University of Pasuruan with research interests in Artificial Intelligence, Industrial Systems, Operations Management, Process Optimization, Data Analytics, and the application of Information Technology in both industry and education. My academic activities encompass teaching, research, scientific publication, and community engagement.

My research focuses on developing innovative approaches to industrial problem-solving, data-driven decision-making, productivity improvement, and digital transformation. I actively publish scholarly articles in national and international journals and collaborate on various academic and research projects that contribute to the advancement of science, technology, and industrial development.

Through my work, I am committed to promoting excellence in higher education, fostering innovation in learning methodologies, and supporting sustainable industrial and technological advancement that delivers meaningful benefits to society.

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