Subtopic Deep Dive

GIS-Based Decision Support Systems
Research Guide

What is GIS-Based Decision Support Systems?

GIS-Based Decision Support Systems integrate Geographic Information Systems with decision support frameworks to enable spatial analysis for location-based decisions in urban planning, disaster management, and logistics.

This subtopic combines GIS spatial data layers with multi-criteria decision methods like SAW, AHP, and COPRAS for site selection and resource allocation. Key applications include service center location (Rasminto and Purwantini, 2021, 3 citations) and supermarket branch placement (Tsaqila et al., 2024, 1 citation). Over 10 papers from 2006-2024 address model integration, with Rasminto and Purwantini (2021) cited 3 times.

Curated Papers

Key Challenges

Why It Matters

GIS-DSS optimize urban resource distribution, as in service center site selection using SAW and GIS (Rasminto and Purwantini, 2021). They support emergency health monitoring via GIS-DSS integration (Sobejana, 2014, 2 citations). In retail, COPRAS with GIS determines supermarket locations to maximize profitability (Tsaqila et al., 2024). These systems reduce decision time in high-stakes spatial scenarios like dormitory allocation (Jauhari and Mufarroha, 2020).

Key Research Challenges

Spatial Data Fusion

Integrating heterogeneous GIS layers with DSS models leads to accuracy losses in multi-criteria weighting. Rasminto and Purwantini (2021) used SAW on GIS data for service centers but noted preprocessing gaps. Tsaqila et al. (2024) faced similar issues applying COPRAS to supermarket sites.

Model Accuracy in GIS

Balancing spatial criteria like distance and terrain in AHP or SAW requires robust validation. Pramukti and Andryana (2022) compared AHP and MFEP for vendor selection, highlighting GIS integration needs. Sobejana (2014) emphasized real-time data challenges in e-health GIS-DSS.

Visualization Scalability

Rendering large GIS datasets for DSS visualization strains interactive decision tools. Jauhari and Mufarroha (2020) developed mobile GIS-DSS for dormitories but limited to basic maps. Amiruddin (2006) noted scalability issues in highland development DSS.

Essential Papers

Application of the SMARTER Method in Determining the Whitening of Study Permits and Teacher Study Tasks

Rahmat Daffa Affandi, Heny Pratiwi, Azahari Azahari et al. · 2023 · Aptisi Transactions On Technopreneurship (ATT) · 16 citations

Study assignment programs and study permits aim to meet the need for staff with certain skills or competencies. in the context of carrying out tasks and functions as well as organizational developm...

Analisis Perbandingan Metode AHP dan Metode MFEP Pada Sistem Pendukung Keputusan Pemilihan Vendor

Yuda Aji Pramukti, Septi Andryana · 2022 · JURNAL MEDIA INFORMATIKA BUDIDARMA · 4 citations

Vendor is a party in the form of a company that provides goods and services to consumers or other business actors. Pasar Minggu Regional General Hospital is one of the Class B Non-Educational Gener...

Smart Mobile Application for Decision Support Systems on Determination of Resident in Dormitory

Ahmad Jauhari, Fifin Ayu Mufarroha · 2020 · Jurnal Ilmiah KURSOR · 4 citations

The dormitory is one of the facilities provided with the aim of helping students to get a place to live because some of them come from distant places. The Trunojoyo Madura University dormitory has ...

METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PENENTUAN LOKASI SERVICE CENTER MENGGUNAKAN GIS

Hendri Rasminto, Kasih Purwantini · 2021 · Jurnal Publikasi Manajemen Informatika · 3 citations

Decision support system is defined as a system that supports the work of a manager or a group of managers in solving semi-structured problems by providing information or suggestions towards certain...

City e-Health with Geographic Information System and Decision-Support System

Noel Sobejana · 2014 · 2 citations

The purpose of this paper is to implement a system that has been developed because of the importance of information technology in the present day scenarios in terms of monitoring resources in almos...

Penerapan Metode F-AHP dan F-TOPSIS Dalam Proses Seleksi Karyawan Untuk Bidang Teknologi Informasi

Murnawan Murnawan, Sri Lestari, Rosalin Samihardjo · 2024 · Teknika · 2 citations

Penelitian ini mengeksplorasi proses seleksi karyawan di departemen Teknologi Informasi (TI) sebuah perusahaan tekstil di Bandung, Indonesia. Fokusnya adalah pada pengambilan keputusan berbasis kel...

IMPLEMENTASI METODE AHP DAN MAUT UNTUK REKOMENDASI PRODUK TUPPERWARE TERLARIS

Bisma Okmarizal, Sarjon Defit, Sumijan Sumijan · 2023 · Jurnal KomtekInfo · 2 citations

Untuk melakukan pemesanan barang tupperware pada unit simabur indah, sering terjadi ketidaksesuaian antara permintaan barang dengan barang yang di pesan sehingga terjadinya penumpukan barang dan ke...

Reading Guide

Foundational Papers

Start with Sobejana (2014) for GIS-DSS integration in e-health monitoring, then Amiruddin (2006) for highland development controls using spatial rules.

Recent Advances

Study Rasminto and Purwantini (2021) for SAW-GIS in service centers, Tsaqila et al. (2024) for COPRAS supermarket sites, and Pramukti and Andryana (2022) for AHP comparisons.

Core Methods

Core techniques: SAW for weighted GIS criteria (Rasminto and Purwantini, 2021), AHP/MFEP for vendor selection (Pramukti and Andryana, 2022), COPRAS for location ranking (Tsaqila et al., 2024).

How PapersFlow Helps You Research GIS-Based Decision Support Systems

Discover & Search

Research Agent uses searchPapers with 'GIS SAW service center' to find Rasminto and Purwantini (2021), then citationGraph reveals 3 citing works and exaSearch uncovers related spatial DSS papers. findSimilarPapers on Sobejana (2014) surfaces e-health GIS applications.

Analyze & Verify

Analysis Agent applies readPaperContent to extract SAW criteria from Rasminto and Purwantini (2021), verifies spatial weights via runPythonAnalysis with pandas for correlation stats, and uses verifyResponse (CoVe) with GRADE grading to confirm model accuracy claims against datasets.

Synthesize & Write

Synthesis Agent detects gaps in GIS-AHP integration across Pramukti and Andryana (2022) via gap detection, flags contradictions in criteria weighting, then Writing Agent uses latexEditText for spatial model equations, latexSyncCitations for 10+ papers, and latexCompile for a review manuscript with exportMermaid for decision flowcharts.

Use Cases

"Analyze SAW method accuracy in GIS service center location from Rasminto 2021"

Analysis Agent → readPaperContent (extracts criteria tables) → runPythonAnalysis (recomputes SAW scores with NumPy, plots GIS heatmap) → GRADE-verified statistical report on model precision.

"Write LaTeX review comparing GIS-DSS in urban planning papers"

Synthesis Agent → gap detection (identifies AHP vs SAW gaps) → Writing Agent → latexEditText (drafts sections) → latexSyncCitations (adds Rasminto 2021, Tsaqila 2024) → latexCompile (PDF with GIS diagrams).

"Find open-source code for GIS-based AHP decision systems"

Research Agent → searchPapers (AHP GIS DSS) → Code Discovery: paperExtractUrls → paperFindGithubRepo → githubRepoInspect (yields QGIS AHP plugins with install scripts).

Automated Workflows

Deep Research workflow scans 50+ GIS-DSS papers via searchPapers → citationGraph → structured report on SAW/AHP trends. DeepScan applies 7-step analysis: readPaperContent on Rasminto (2021) → runPythonAnalysis → CoVe checkpoints for spatial claims. Theorizer generates hypotheses on GIS data fusion from Sobejana (2014) and Tsaqila (2024).

Try Doxa for GIS-Based Decision Support Systems Research

Frequently Asked Questions

What defines GIS-Based Decision Support Systems?

GIS-Based DSS integrate GIS spatial data with decision models like SAW or AHP for location optimization, as in service center placement (Rasminto and Purwantini, 2021).

What methods are used in GIS-DSS?

Common methods include SAW for GIS site selection (Rasminto and Purwantini, 2021), AHP comparisons (Pramukti and Andryana, 2022), and COPRAS for retail locations (Tsaqila et al., 2024).

What are key papers on GIS-DSS?

Rasminto and Purwantini (2021, 3 citations) apply SAW-GIS to service centers; Sobejana (2014, 2 citations) integrates GIS in e-health DSS; Tsaqila et al. (2024) uses COPRAS for supermarkets.

What open problems exist in GIS-DSS?

Challenges include real-time data fusion and scalable visualization, noted in mobile dorm DSS (Jauhari and Mufarroha, 2020) and highland planning (Amiruddin, 2006).