AGRICULTURAL STATISTICS: USING MULTIPLE MODES OF FOOD CROPS DATA COLLECTION IN INDONESIA DURING THE COVID-19 PANDEMIC

Ratna Rizki Amalia
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Abstract

Government policy to limit the spread of COVID-19, such as lockdowns and social distancing, poses critical challenges to food crops data collection. The spread of COVID-19 has led to new challenges in collecting food crops data, which were previously collected using a conventional method, namely through measurements and direct interviews with respondents. To address this challenge, BPS-Statistics Indonesia finds alternatives to surveying by implemented multiple data collection modes, namely direct observation and measurement, physically distanced face-to-face interviews, and phone interviews. One of the most challenging aspects of implementing this combined method is the implementation of field activities. This issue arises due to an insufficient database of agricultural households' phone numbers and a questionnaire format that is complex enough to be used in this new method. This paper provides a comprehensive look at the technicalities that are implemented regarding this breakthrough. This paper's discussion focuses on the business process of data collection and strategic ways to overcome the challenges faced in implementing the method.
农业统计:在2019冠状病毒病大流行期间,印度尼西亚使用多种粮食作物数据收集模式
政府限制COVID-19传播的政策,如封锁和保持社交距离,给粮食作物数据收集带来了严峻挑战。COVID-19的传播给收集粮食作物数据带来了新的挑战,这些数据以前是通过传统方法收集的,即通过测量和与受访者的直接访谈。为了应对这一挑战,BPS-Statistics Indonesia通过实施多种数据收集模式(即直接观察和测量、物理距离的面对面访谈和电话访谈)找到了调查的替代方案。执行这一综合方法的最具挑战性的方面之一是执行实地活动。这一问题的产生是由于没有足够的农户电话号码数据库,而且调查问卷的格式过于复杂,无法用于这种新方法。本文全面介绍了有关这一突破的技术细节。本文的讨论重点是数据收集的业务流程和克服实施该方法所面临的挑战的战略方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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