Figure Ilustration AI
FORMOSA NEWS - Surabaya - Tauri-Rust Application Optimizes Traditional Market Asset Mapping with Zero Server Cost and Minimal Memory Footprint. A research team led by Agung Widodo and Argo Dewana from Narotama University has developed a lightweight desktop application, Esurvey Pasar, designed to digitize public market asset mapping without incurring server costs. Published in August 2026, the study introduces a hybrid serverless system built on the Tauri-Rust framework and integrated with cloud platforms. The software reduces random-access memory (RAM) consumption by 83.33 percent and cuts application installer size by 95.86 percent compared to conventional Electron-based frameworks. This innovation provides local governments and market authorities with a low-cost, secure, and resource-efficient tool to eliminate information asymmetry and modernize traditional market management.
Background and Context
Traditional markets serve as vital economic engines for micro-entrepreneurs and local communities. However, physical asset management across these markets often relies on manual and outdated data collection methods. Accurate spatial mapping of commodity distribution and stall occupancy is essential to maintain sustainable regional market functions. While Geographic Information Systems (GIS) offer solutions to bridge these data gaps, local implementation is frequently hindered by high physical server costs, complex setup requirements, and expensive database maintenance. Furthermore, standard desktop mapping applications built on traditional frameworks like Electron tend to consume excessive RAM and require large storage footprints. These computational demands pose significant challenges for field staff using basic hardware. Security vulnerabilities in conventional web-hybrid desktop apps also leave underlying code exposed to decompilation. The team at Narotama University sought to address these technical and economic barriers by developing an accessible, highly secure, and infrastructure-free mapping alternative.
Research Methodology
The researchers applied the System Development Life Cycle (SDLC) Waterfall model to guide system analysis, architectural design, software implementation, and performance testing. To achieve a zero-cost infrastructure model, Agung Widodo and Argo Dewana engineered a hybrid serverless architecture combining three core technologies:
Key Findings and Performance Metrics
Agung Widodo and Argo Dewana evaluated Esurvey Pasar through quantitative hardware benchmarks against a functional replica built on the Electron framework. All tests were conducted over 30 iterations on standard hardware running Windows 11 with an Intel i5 processor and 8GB RAM. The comparative performance analysis revealed significant hardware efficiency gains across key technical metrics:
Background and Context
Traditional markets serve as vital economic engines for micro-entrepreneurs and local communities. However, physical asset management across these markets often relies on manual and outdated data collection methods. Accurate spatial mapping of commodity distribution and stall occupancy is essential to maintain sustainable regional market functions. While Geographic Information Systems (GIS) offer solutions to bridge these data gaps, local implementation is frequently hindered by high physical server costs, complex setup requirements, and expensive database maintenance. Furthermore, standard desktop mapping applications built on traditional frameworks like Electron tend to consume excessive RAM and require large storage footprints. These computational demands pose significant challenges for field staff using basic hardware. Security vulnerabilities in conventional web-hybrid desktop apps also leave underlying code exposed to decompilation. The team at Narotama University sought to address these technical and economic barriers by developing an accessible, highly secure, and infrastructure-free mapping alternative.
Research Methodology
The researchers applied the System Development Life Cycle (SDLC) Waterfall model to guide system analysis, architectural design, software implementation, and performance testing. To achieve a zero-cost infrastructure model, Agung Widodo and Argo Dewana engineered a hybrid serverless architecture combining three core technologies:
- Tauri-Rust Desktop App: Serves as the central administration panel, leveraging the Rust programming language and native operating system web renderers for high performance and system security.
- Firebase Realtime Database: Manages real-time authentication tokens and session verification for field survey officers with minimal network latency.
- Google Apps Script Middleware: Acts as a stateless bridge that converts survey images into Base64 strings and transfers survey responses directly into Google Sheets as a free cloud data warehouse.
Key Findings and Performance Metrics
Agung Widodo and Argo Dewana evaluated Esurvey Pasar through quantitative hardware benchmarks against a functional replica built on the Electron framework. All tests were conducted over 30 iterations on standard hardware running Windows 11 with an Intel i5 processor and 8GB RAM. The comparative performance analysis revealed significant hardware efficiency gains across key technical metrics:
- Installer Size Efficiency: The setup installer (.exe) for the Tauri-Rust application measured just 2.41 MB, making it 95.86 percent lighter than the Electron version at 58.20 MB.
- Binary File Reduction: The unextracted binary executable reached only 4.47 MB for Tauri-Rust, representing a 96.52 percent size reduction compared to Electron's 128.40 MB.
- Main Process RAM Usage: The primary system process consumed only 23.80 MB of RAM for the Tauri-Rust application, saving 83.33 percent memory compared to Electron's 142.80 MB.
- Total System RAM Footprint: Across all sub-processes, total RAM usage averaged 382.00 MB for Tauri-Rust versus 524.50 MB for Electron, delivering a 27.17 percent overall memory saving
- Processor Efficiency: Average CPU usage dropped to 1.40 percent for the Tauri-Rust platform, reflecting an 85.71 percent efficiency increase over Electron's 9.80 percent usage
- Data Transmission Speed: Network latency during data submissions averaged 1.84 seconds, achieving a 13.20 percent speed improvement enabled by automatic client-side image compression down to under 85 KB per file.
The research team also validated the application in a real-world field survey mapping 287 public market stalls in Surabaya. The survey revealed an overall stall occupancy rate of 43.21 percent, with 163 out of 287 stalls recorded as vacant (56.79 percent vacancy rate). Occupancy rates varied dramatically across physical market blocks, ranging from 77.8 percent in Block I to 23.7 percent in Block E.
Real-World Impact and Policy Implications
The findings offer immediate benefits for urban planning, municipality management, and public market administration. By generating real-time two-dimensional spatial grid maps, Esurvey Pasar enables market administrators to implement data-driven revitalizations. High-vacancy areas can be targeted for specific commodity relocations, stall rent subsidies, or structural improvements, ensuring public funds are deployed effectively. Furthermore, eliminating server hosting fees lowers financial barriers for small municipalities seeking to adopt digital management solution. Advanced compilation protections within the Rust framework also safeguard system logic against unauthorized code tampering.
Author Profiles
Agung Widodo, S.Kom., M.Kom. is a researcher and academic faculty member at Narotama University. His field of expertise encompasses software engineering, system architecture, and desktop application development.
Argo Dewana, S.Kom., M.Kom. is a researcher and lecturer at Narotama University. His areas of specialization include cloud computing infrastructure, serverless application design, and spatial data systems.
Real-World Impact and Policy Implications
The findings offer immediate benefits for urban planning, municipality management, and public market administration. By generating real-time two-dimensional spatial grid maps, Esurvey Pasar enables market administrators to implement data-driven revitalizations. High-vacancy areas can be targeted for specific commodity relocations, stall rent subsidies, or structural improvements, ensuring public funds are deployed effectively. Furthermore, eliminating server hosting fees lowers financial barriers for small municipalities seeking to adopt digital management solution. Advanced compilation protections within the Rust framework also safeguard system logic against unauthorized code tampering.
Author Profiles
Agung Widodo, S.Kom., M.Kom. is a researcher and academic faculty member at Narotama University. His field of expertise encompasses software engineering, system architecture, and desktop application development.
Argo Dewana, S.Kom., M.Kom. is a researcher and lecturer at Narotama University. His areas of specialization include cloud computing infrastructure, serverless application design, and spatial data systems.
Source Section
Widodo, A., & Dewana, A. (2026). Public Market Asset Mapping Based on Tauri-Rust and Hybrid Serverless Architecture. Formosa Journal of Computer and Information Science (FJCIS), 5(2), 313-324.
DOI:
0 Komentar