PEMETAAN KONTEN INFORMASI AKUN INSTAGRAM @PERPUSUINYOGYAKARTA

Risna Septi Harfiani, Nining Sudiar, Vita Amelia
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Abstract

In this study examines an Instagram account @perpusuinyogyakarta. From this account the researcher collected uploads published by @perpusuinyogyakarta during January-December 2021. The purpose of this study was to find out what content was uploaded by the @perpusuinyogyakarta account and how the mapping of the Instagram account @perpusuinyogyakarta during January - December 2021 and what percentage. This study uses a quantitative descriptive method with a sample of 433 posts uploaded during January-December 2021 (1 year). Data collection techniques are observation and documentation study. The results showed that out of 433 posts of informational content and five indicators of library Instagram content, namely event indicators, internal indicators, speech indicators, library information indicators, and knowledge indicators. The most posted indicator is the indicator that shows information related to library information with 161 uploads or 39.07%, the second is information related to events or promoting events/activities with 88 uploads or 21.35%, the third is shows information related to speech with 78 uploads or with a percentage of 18.93%, the fourth is information that contains internal activities with 53 uploads or a total of 12.86%, and there is a low upload, namely information related to general knowledge or certain fields with 47 uploads or a total of 11.40%, and there is a follower response to content that is seen as quite active in the comments column which is communicative with the account manager @perpusuinyogyakarta such as comments that are praise or appreciation.  
INSTAGRAM账号@ perpusuinyogarta的信息信息地图
在这项研究中,研究了一个Instagram账户@perpusuinyogyakarta。从这个账户中,研究人员收集了@perpusuinyogyakarta在2021年1月至12月期间发布的上传内容。本研究的目的是找出@perpusuinyogyakarta账户上传的内容,以及Instagram账户@perpusuinyogyakarta在2021年1月至12月期间的映射情况以及百分比。本研究采用定量描述的方法,以2021年1月至12月(1年)上传的433篇文章为样本。数据收集技术是观察法和文献研究法。结果表明,在433条信息性内容的帖子中,图书馆Instagram内容的五个指标分别是事件指标、内部指标、语音指标、图书馆信息指标和知识指标。上传次数最多的是图书馆信息,上传次数为161次,占39.07%;其次是事件或推广事件/活动,上传次数为88次,占21.35%;第三是演讲类,上传次数为78次,占18.93%;第四是内部活动类,上传次数为53次,占12.86%,上传次数较少。即与一般知识或某些领域相关的信息有47个上传或总计11.40%,并且在评论栏中有一个追随者回应的内容被视为相当活跃,与客户经理@perpusuinyogyakarta交流,例如赞扬或欣赏的评论。
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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