Sistem Pendukung Keputusan dengan Aplikasi
Vol 5 No 2 (2026)

Decision Support System for Prioritizing Economic Sectors for Regional Investment Using AHP-TOPSIS

Nurmaliana Pohan (Universitas Putra Indonesia YPTK Padang)
Pradani Ayu Widya Purnama (Universitas Putra Indonesia YPTK Padang)
Nurfa Rahma Julita (Universitas Putra Indonesia YPTK Padang)
Hana Afifah (Universitas Putra Indonesia YPTK Padang)



Article Info

Publish Date
01 Jul 2026

Abstract

The volatility of quarterly Gross Regional Domestic Product (GRDP) growth across economic sectors poses a significant challenge for regional governments in determining investment priorities. This study develops a decision support system (DSS) to rank investment priorities among economic sectors in West Sumatra Province using a hybrid Analytic Hierarchy Process–Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) method. Five criteria were extracted from three dimensions of GRDP growth rates, namely C-to-C, Q-to-Q, and Y-on-Y, for 2024–2025: average C-to-C growth, average Y-on-Y growth, Q-to-Q stability (the inverse of standard deviation), latest quarter growth (Q4 2025), and positive consistency (the number of quarters with growth > 0). Criteria weights were determined through an AHP pairwise comparison questionnaire completed by regional economic experts, resulting in a consistency ratio (CR) of 0.015. The TOPSIS method was then applied to rank 17 economic sectors. The results show that the top five investment priorities are Government Administration, Defense, and Mandatory Social Security (O) = 0.711; Health Services and Social Activities (Q) = 0.671; Financial Services and Insurance (K) = 0.633; Other Services (R) = 0.594; and Real Estate (L) = 0.573. The system was implemented as an interactive dashboard using Python Streamlit. The ranking results are consistent with regional development conditions, as validated by experts. This DSS provides an objective, data-driven tool for regional investment policymaking.

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Journal Info

Abbrev

spk

Publisher

Subject

Decision Sciences, Operations Research & Management

Description

Artikel yang diterbitkan dalam Sistem Pendukung Keputusan dengan Aplikasi adalah relevansinya dengan masalah teoretis dan teknis dalam mendukung pengambilan keputusan yang ditingkatkan. Naskah dapat diambil dari beragam metode dan metodologi, termasuk dari teori keputusan yang didukung ...