数据收集改进:每日自行清点住宿情况调查

Ignatius Aditya Setyadi
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引用次数: 0

摘要

到目前为止,BPS - Statistics Indonesia每月对星级和非星级住宿类别进行住宿调查,以提供国家和区域一级商业住宿活动的信息。星级和非星级住宿类别都是通过在每个地区的完整枚举来完成的。统计包括客人入住时间和房间容量,以获得酒店房间的入住率。该数据包含每月收集的每日住宿信息,因此在观察月之后将在每个区域完整输入。由于对月度新闻稿的时效性要求,英伦管廊从2017年开始实行在线数据录入。似乎很明显,有更多兴趣的区域将对更多的住宿数量产生影响,这也影响到枚举人员的数量,并可能导致这类问题,特别是在响应负担方面。不幸的是,住宿较少的地区也不容易避免同样的问题,主要是由于住宿区域的距离问题及其在该地区的分布。因此,需要一种新的数据收集策略,为被调查者提供方便,以提高回复率,同时减少普查员的工作量,从而降低成本。2019冠状病毒病的爆发给世界各地的国家统计局(NSOs)带来了前所未有的问题,包括BPS -印度尼西亚统计局。这场危机促使我们以新的方式思考并作出决定,这些决定将改变我们的统计业务,以便在疫情期间满足持续的数据需求。本文的目的是讨论住宿调查的演变,其设计不仅要解决问题,而且要实现目标。目前,有近180名活跃用户对印尼142家不同的住宿进行了自我枚举调查。此外,事实证明,这一增加成功地将平均响应率从2020年的57.17%提高到2021年的68.35%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Collection Improvement: Daily Self-Enumeration Accommodation Survey
Until now, BPS - Statistics Indonesia has conducted monthly accommodation surveys both for the star and non-star accommodation categories to provide information on commercial accommodation activities at the national and regional levels. Both star and non-star accommodation categories are done by complete enumeration in each region. Statistics include guest night and room capacity to obtain the occupancy rate of a hotel room. The data contains daily accommodation information that is collected every month, so then it will be entered completely in each region following the observation month. Due to the timeliness requirements for monthly press releases, BPS has implemented online data entry since 2017. It may seem obvious, regions that have more interest will have an impact on a bigger number of accommodations, which also affects the number of enumerators and may lead to such problems especially in response burden. Unfortunately, the same problem is also not easily avoided by regions with less accommodation, mostly due to the distance issues to the accommodation area and its spread in the region. Therefore, a new data collection strategy is required to provide respondents with convenience in order to increase response rates, as well as to reduce the workload of enumerators which also leads to the lower cost. The outbreak of COVID-19 has posed unprecedented problems for National Statistical Offices (NSOs) around the world, including BPS – Statistics Indonesia. This crisis has led us to think in new ways and make decisions that will change our statistical operations in order to meet ongoing data needs even throughout the epidemic. The purpose of this paper is to discuss the evolution of accommodation surveys, which are designed to not only solve problems but also achieve objectives. Currently, there are nearly 180 active users of this self-enumeration accommodation survey for about 142 distinct accommodations across Indonesia. Moreover, this addition has proven to have succeeded in increasing the response rate average from 57.17% in 2020 to 68,35% in 2021.
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