A Systems Engineering Process Approach for AIoT-Based Export Supply Chain ESG Measurement

Muhammmad Syaukani; Eko Subiyantoro

doi:10.59934/jaiea.v5i2.2191

Authors

Muhammmad Syaukani Institut Teknologi Bisnis dan Bahasa Dian Cipta Cendikia
Eko Subiyantoro Institut Teknologi Bisnis dan Bahasa Dian Cipta Cendikia

DOI:

https://doi.org/10.59934/jaiea.v5i2.2191

Keywords:

Systems Engineering Process, ESG, Chain Supply Exports, Commodities Nature, AIoT

Abstract

The supply chain for export commodities is facing increasing demand driven by transparency and accountability regarding environmental, Social, and Governance (ESG) performance. However, ESG measurement in practice is still hampered by data distribution, reliance on manual reporting, and the absence of a framework for an engineering-structured system. Research: This aim is to design a system chain for ESG measurement of supply-export commodities and natural resources using a systematic Systems Engineering Process (SEP) approach. SEP is applied to transform raw data sourced from the chain sensor supply export into relevant ESG information for decision-making. Methodology study covering requirements analysis, system design, implementation, testing, deployment, and maintenance stages, to ensure integration between the operational needs and the technical solutions. Research results show that the SEP approach can provide a consistent, integrated framework that improves process traceability and supports the sustainability system in the long term. Approach. This expectation can serve as a base development system that is more reliable, adaptive, and applicable to the supply chain for export commodities.

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