Mobile Application for Garlic Land Suitability: Supporting On-Site Assessment in Network-Limited Areas

Abstract

Garlic land suitability assessment is essential to support the government's program to increase local garlic production. This study aims to develop an Android-based mobile application that facilitates on-site garlic land suitability evaluation for agricultural extension officers, advanced farmers, and others conducting garlic land suitability assessments. This application allows users to obtain land suitability classes based on garlic growth requirement factors, namely soil and weather characteristics. Spatial data on these factors is provided by the application, with real-time weather data management to deliver suitability classes according to current weather conditions. Functionality testing of the application through black box testing has been conducted, showing results in line with the developer's expectations. Additionally, usability testing was performed to evaluate system usefulness, information quality, interface quality, and overall assessment. The evaluation employed the Post-Study System Usability Questionnaire (PSSUQ) version 3, which uses a 7-point Likert scale where 1 represents "strongly agree" (indicating high user satisfaction) and 7 represents "strongly disagree." Lower scores therefore reflect more favorable user evaluations of the system. On average, the system’s overall score reached 2.06, system usefulness 2.02, information quality 2.09, and interface quality 2.06, indicating that users agree or strongly agree with the Mobile Application Usability Indicators. These results demonstrate that the mobile application is well-received and effectively supports usability for its target users. Its key innovation is the integration of real-time weather data with soil information to provide dynamic and accurate land suitability assessments. By offering an intuitive interface and tailored recommendations, the application enables data-driven decision-making for improved garlic cultivation planning.