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Smartphone-Based Order Recording Application for Non-Technical Users: A Local Network Solution Riyan, Ade Bani; Nasir, Mohamad; Savandha, Septien Dwi; Fatimah, Ade Fitria; Magfiroh, Diana; Amelia, Amelia
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 1 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i1.253

Abstract

Background: Digital technology adoption among micro, small, and medium enterprises (MSMEs) in Indonesia remains limited, particularly among non-technical users. Many existing commercial applications present barriers related to system complexity, subscription costs, and dependence on stable internet connectivity, which hinder effective business digitalization. Aims: This study aims to develop and evaluate a smartphone-based order recording application tailored to MSME users with limited digital literacy, focusing on accessibility, usability, and operational efficiency without reliance on internet infrastructure. Methods: The research employed a Research and Development (R&D) methodology with a mixed-methods approach. The development process followed five iterative stages: needs analysis involving 18 MSME owners, user-centered system design, technical implementation using a local area network architecture, functional and usability testing, and iterative refinement based on user feedback. Usability evaluation was conducted with 12 non-technical MSME users using task performance metrics and the System Usability Scale (SUS). Results: The application achieved a SUS score of 74.2, indicating good usability, with an average task completion rate of 91.7%, surpassing typical benchmarks for commercial MSME applications. The local network architecture successfully eliminated internet dependency, reduced operational costs, improved system responsiveness, and enhanced data privacy. Key usability factors included simplified interfaces, minimal text input, large touch targets, consistent navigation, and reduced cognitive load. Conclusion: The findings demonstrate that digital solutions designed around user capabilities can effectively bridge the digital divide among non-technical MSME users. This study provides a replicable model for inclusive, low-cost, and accessible business application development in resource-constrained contexts.
Precision Aquaculture Integration with IoT Multi-Parameter Water Quality Sensor for Tambak Udang Farmers in Cirebon Coastal Area Nasir, Mohamad; Fatimah, Ade Fitria
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 2 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i2.9173

Abstract

Shrimp aquaculture in the coastal tambak areas of Cirebon, West Java, faces persistent challenges related to fluctuating water quality driven by tidal dynamics and estuarine pollution, which frequently result in mass shrimp mortality events that devastate smallholder farmers' livelihoods. This study aimed to design, implement, and evaluate a low-cost IoT multi-parameter water quality monitoring system for vanamei shrimp (Litopenaeus vannamei) tambak farmers in Kecamatan Losari and Gebang, Cirebon. A mixed-methods research design was employed, integrating experimental hardware development, quantitative sensor validation, and qualitative usability assessment through a 30-day field deployment across five active pond units. The system utilized a NodeMCU ESP32 microcontroller integrated with pH, dissolved oxygen (DO), temperature (DS18B20), salinity, and turbidity sensors, transmitting real-time data via WiFi and LoRa to Firebase and ThingsBoard cloud platforms, accessible through an Android mobile application. Results demonstrated strong sensor accuracy across all parameters, pH (MAE ±0.20), DO (MAE ±0.27 mg/L), and temperature (MAE ±0.09°C), with system uptime of 94.7% and mean alert notification latency below five seconds. Farmer usability evaluation yielded a System Usability Scale (SUS) composite score of 78.4 (Grade B=Good). No mass mortality events occurred during the trial period, providing preliminary evidence of tangible aquaculture outcome improvement. The study concludes that affordable, participatory-designed IoT monitoring systems can effectively bridge the technology-adoption gap in smallholder coastal aquaculture, with recommendations for LoRa-primary connectivity, wet-season validation trials, and AI-driven predictive alert integration in future iterations.