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All Journal Data Science Insights
Risyawati Mohamed Ismail
School of Technology Management and Logistics, Universiti Utara Malaysia
Computer Science & IT Engineering

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Digital Data Collection among Low ICT-Literate Rural Communities: A Case Study using Google Forms via Smartphones Wan Hussain Wan Ishak; Fadhilah Yamin; Risyawati Mohamed Ismail; Mastora Mustafar; Siti Zakiah Abu Bakar
Data Science Insights Vol. 3 No. 2 (2025): Journal of Data Science Insights
Publisher : PT. Visi Media Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63017/jdsi.v3i2.121

Abstract

This study investigates the use of Google Forms as a digital tool for daily livestock monitoring among rural, low ICT-literate chicken farmers in Malaysia. A total of 198 responses were collected via smartphones through WhatsApp-distributed forms, allowing participants to self-report poultry conditions while reducing the need for frequent site visits. While the approach proved accessible and cost-effective, analysis revealed significant data quality issues, including inconsistent data entry (e.g., mixed numeric and textual values), unstructured categorical responses, duplicate submissions, ambiguous placeholder values, and the absence of unique identifiers. These challenges limited the reliability and usability of the dataset for meaningful analysis. To address these issues, the study recommends implementing structured input fields, validation rules, unique respondent IDs, and user training materials tailored to low digital literacy. This paper highlights both the potential and pitfalls of digital self-reporting tools in underserved rural contexts and provides practical recommendations for improving data quality in similar monitoring efforts. The findings offer valuable guidance for researchers and practitioners designing data collection systems in constrained environments.
Co-Authors Fadhilah Yamin Mastora Mustafar Siti Zakiah Abu Bakar Wan Hussain Wan Ishak