Content Analysis of Online Media Reporting on Environmental Issues of PT Semen Tonasa Company

Mohammad Jerrynindra, Y. Yusmanizar, Andi Vita Sukmarini
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Abstract

Fajar.co.id's online media reporting regarding corporate environmental issues at PT Semen Tonasa has become an important concern in the midst of industrial activity, where the news is able to shape opinion in the community depending on how Fajar.co.id reviews news published to the public, there are tendencies of News is the cause of the formation of issues. To see whether Fajar.co.id tends to report positive or negative news, a content analysis of the news was carried out. This research uses a descriptive quantitative method, which is a method with an analytical approach that uses quantitative data to provide a description or description of the observed phenomena. This research focuses on how to determine the trend of reporting on news content related to environmental issues of the PT Semen Tonasa company through word-for-word analysis by a coder. by using the Scott formula to see the results and their explanation. The research data is primary data taken from the Fajar.co.id portal, namely news related to environmental issues of the PT Semen Tonasa company from 2019 to 2023, totaling 20 news articles. The research was carried out by analyzing the words made by a coder and then entering them into the Scott formula for get the trend value of positive or negative issues from the news. The results of the research showed that 85% of the reporting tended to be positive and 15% tended to be negative, where in conducting reporting, Fajar.co.id had shown good independence and was in line with ethics in the journalistic process.
有关 PT Semen Tonasa 公司环境问题的在线媒体报道内容分析
Fajar.co.id对PT Semen Tonasa公司环境问题的在线媒体报道已成为工业活动中的一个重要关注点,新闻能够在社会上形成舆论,这取决于Fajar.co.id如何审查向公众发布的新闻,新闻的倾向性是问题形成的原因。为了了解 Fajar.co.id 是倾向于报道正面新闻还是负面新闻,我们对新闻内容进行了分析。本研究采用描述性定量方法,这是一种分析方法,使用定量数据对观察到的现象进行描述或说明。本研究的重点是如何通过编码员的逐字分析,确定 PT Semen Tonasa 公司与环境问题相关的新闻内容的报道趋势。通过使用斯科特公式来查看结果及其解释。研究数据是来自 Fajar.co.id 门户网站的原始数据,即 2019 年至 2023 年与 PT Semen Tonasa 公司环境问题相关的新闻,共计 20 篇。研究通过分析编码器生成的单词,然后将其输入斯科特公式,以获得新闻中正面或负面问题的趋势值。研究结果表明,85%的报道倾向于正面,15%的报道倾向于负面,在进行报道时,Fajar.co.id表现出了良好的独立性,在新闻报道过程中符合职业道德。
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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