A System Engineering Approach to Sustainability Decision Support System Based on SDGs

This study aims to develop a Sustainability Decision Support System (SDSS) based on the Sustainable Development Goals (SDGs) using a System Engineering approach at the Institut Teknolgi Bisnis dan Bahasa 'Dian Cipta Cendikia' (ITBA DCC). The main issues faced are a lack of a structured system to integrate environmental, social, economic, and governance aspects into policy campus. The methodology study covers six phases: Main, which includes Requirements Analysis, System Design, Implementation, Testing, Deployment, and Maintenance. This system merges Multi-Criteria Decision Making (MCDM) techniques, modeling system dynamics, and data analytics to visualize SDGs progress, prioritize programs, and provide recommendation strategies. Research results show that SDSS is capable of increasing transparency, accountability, and effectiveness in data-driven decision-making. The novelty of the study lies in its multidisciplinary and contextual approach to college-level vocational education in Indonesia. This system also has the potential to be replicated in other institutions as an innovative model for management sustainability

Authors

Institutions

Publication Details

Journal
RIGGS Journal of Artificial Intelligence and Digital Business
Published
2025-07-19
DOI
https://doi.org/10.31004/riggs.v4i2.1191
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A System Engineering Approach to Sustainability Decision Support System Based on SDGs

Muhammad Syaukani
RIGGS Journal of Artificial Intelligence and Digital Business
Complex Systems and Decision Making
article

A System Engineering Approach to Sustainability Decision Support System Based on SDGs

Muhammad Syaukani
article en

Abstract

This study aims to develop a Sustainability Decision Support System (SDSS) based on the Sustainable Development Goals (SDGs) using a System Engineering approach at the Institut Teknolgi Bisnis dan Bahasa 'Dian Cipta Cendikia' (ITBA DCC). The main issues faced are a lack of a structured system to integrate environmental, social, economic, and governance aspects into policy campus. The methodology study covers six phases: Main, which includes Requirements Analysis, System Design, Implementation, Testing, Deployment, and Maintenance. This system merges Multi-Criteria Decision Making (MCDM) techniques, modeling system dynamics, and data analytics to visualize SDGs progress, prioritize programs, and provide recommendation strategies. Research results show that SDSS is capable of increasing transparency, accountability, and effectiveness in data-driven decision-making. The novelty of the study lies in its multidisciplinary and contextual approach to college-level vocational education in Indonesia. This system also has the potential to be replicated in other institutions as an innovative model for management sustainability

RIGGS Journal of Artificial Intelligence and Digital BusinessVol. 4(2)
Institut Teknologi dan Bisnis Kalbe (ID)
Openalex Percentile: Top 77%
Complex Systems and Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.