CNN Indonesia Research Articles

Analysis of Online Media Framing in the Russia-Ukraine Conflict: Comparison of BBC Indonesia and CNN Indonesia

Analysis of Online Media Framing in the Russia-Ukraine Conflict: Comparison of BBC Indonesia and CNN Indonesia

The Role of Public Figures amidst Indonesia’s Early Social Restrictions Policy on Twitter (X): A Social Network Analysis

The Government of Indonesia implemented large-scale social restrictions (Indonesian: Pembatasan Sosial Berskala Besar, abbreviated as PSBB) following the first confirmed cases of COVID-19. Due to social media role in information propagation, this decision quickly became a trending topic on Twitter. This study investigates the main actors and the dynamics of these discussions surrounding PSBB. Utilizing RStudio software, tweets containing the keyword „psbb“ and the hashtag #psbb were mined as of May 6, 2020. The data were analyzed and compared with research conducted during May 2020. Key findings include the significant role of the musician Fiersa Besari in shaping discussions about social restrictions, the emergence of seven major opinion leaders, and the prominence of online news outlets like detikcom and CNN Indonesia in the conversation. Additionally, the study highlights critical commentary from actors affiliated with the Democratic Faction of the Indonesian House of Representatives regarding the government‘s social restrictions policies. These findings provide insights into the network dynamics and public opinion on social restrictions during the early social restrictions policy in Indonesia.

Online News: Media Framing On Indonesia’s Capital City Relocation Policy

Objectives: The research aims to describe the position of the media in Indonesia in constructing an event using framing analysis. Methods: One of the framing analysis forms existing in communications research is that by Zhongdang Pan and Gerald M. Kosicki, which involves four major structures, namely, syntactic structures, script structures, thematic structures, and rhetorical structures. Framing analysis is a form of qualitative research. It particularly has relevance to the phenomenon of capital city relocation news reporting. Data were collected from online news reports by four media outlets, namely, Metro TV, CNN Indonesia, CNBC Indonesia, and Kompas TV. The news reports analyzed were set within the time frame between April of 2019 and January of 2022. All the online news reports pertaining to the capital city relocation were compared between the four media outlets to draw a conclusion as to how the media outlets positioned themselves in constructing the event under investigation. Results: The findings indicated that each television media outlet presented news on the capital city relocation policy in their respective fashions: Metro TV showed approval, CNBC Indonesia and CNN Indonesia did an inclination towards disapproval, and Kompas TV did a neutral view regarding the capital city relocation policy. Conclusions: The four media that were the object of research show that each media has a different agenda regarding events that occurred in Indonesia, especially the relocation of the capital city. These differences come from differences in motives, vision and mission, ideology, political affiliation and goals.

Rekonstruksi Kalimat pada Teks Berita di Laman CNN Indonesia Edisi Desember 2023 sebagai Bahan Ajar Membaca Kritis Siswa Kelas 12 SMA

News is a text that has an important role in disseminating information. News text is so useful that it has become a literacy material for students due to the development of advanced technology. Although it has become one of the sources of student literacy, online news texts are still classified as having syntactic errors such as a lack of understanding of the language used in compiling a sentence in the news. The purpose of this study is to describe sentence errors in the news contained in the old CNN Indonesia news, such as "December Sky Phenomena: Geminid Meteor Shower to Solstice", "Mandalika Circuit's Important Role in Bringing Indonesian Drivers to Success in Asia", "Solar Storms Raining on Earth, RI Safe?", "The First Candidate Debate will be Held at the KPU Office on December 12", and "When HIV Tests Become a Scary Scourge Because of People's Scorn". This research uses a descriptive method with a qualitative approach. The results of this study found several findings such as effective sentences, ineffective sentences, spelling errors according to EYD, errors in the use of diction, and sentences that are not clear to the reader. The most common error found in the five news articles is ineffective sentences. The benefit of this research is to provide knowledge insights in the form of understanding sentence writing systematically, which will be useful in improving understanding of authorship in news texts and preventing errors from occurring again in the same news so that it is worthy of being a literacy material for 12th grade high school students.

Student Receptions Related To The News Of Gibran Rakabuming Raka As Vice President 2024 on CNN Indonesia

Student Receptions Related To The News Of Gibran Rakabuming Raka As Vice President 2024 on CNN Indonesia

Navigating Turbulence: Analyzing the Crisis Response of Sriwijaya Air following the SJ182 Plane Crash using Situational Crisis Communication Theory (SCCT)

Aircraft accidents show that the industry is vulnerable to crisis and capture the complexity of crisis management and communication. This study examines the crisis response strategies employed by Sriwijaya Air in the aftermath of the SJ-182 plane crash on January 9, 2021. Utilizing the Situational Crisis Communication Theory (SCCT) framework, the research categorizes and analyzes the airline's crisis communication actions based on primary and secondary strategies. The content analysis of news articles from Kompas.com, Detik.com, CNN Indonesia, and Reuters, as well as posts from Sriwijaya Air's social media accounts, reveals the implementation of excuse, compensation, partial apology, and ingratiation strategies. The findings indicate that while Sriwijaya Air avoided denial strategies, its delayed response negatively impacted public perception. The study highlights the importance of prompt and transparent communication in crisis management. It suggests areas for future research, including examining internal decision-making processes and the long-term impacts on organizational reputation and resilience.

Framing Analysis of the Reporting Scenario of Gibran Becoming Vice President on CNN Indonesia Media

Insert the current political reality in Indonesia has become a complex and diverse focal point of attention. In the context of the 2024 presidential election (Pilpres 2024), the Constitutional Court's decision regarding the minimum age requirement for vice presidential candidates has sparked widespread controversy. This issue has become a subject of debate because age limits are considered one of the criteria for political leadership qualifications. Framing Analysis is utilized to understand how the media, including CNN Indonesia, present Gibran and the issues surrounding his candidacy as vice president. This research employs a qualitative approach and constructivism paradigm to elucidate this phenomenon. By leveraging Robert N. Entman's Framing Analysis model, this study aims to gain a deeper understanding of how the media influences public perception of Gibran and the political issues associated with him. The data used consists of news reports from CNN Indonesia, specifically textual coverage from October 2023, which is deemed influential in shaping public opinion and perception regarding the 2024 presidential election. Through this research, it is hoped that the understanding of how the media comprehend and interpret specific political realities, as well as their impact on public opinion and the democratic process, will be revealed.

THE IMPACT OF THE COVID-19 PANDEMIC ON THE STOCK PRICES OF MANUFACTURING COMPANIES ON THE INDONESIA STOCK EXCHANGE

The coronavirus, or COVID-19, is caused by the SARS-CoV-2 virus, first discovered in China in late 2019 and as of June 2021. Since then, the virus has spread worldwide. Indonesia has reported more than 31,000 cases of COVID-19 (Gugus Tugas Percepatan Penanganan COVID-19, 2020), making it the second-highest country in ASEAN, according to CNN Indonesia (2022). The global tally has surpassed 6.7 million cases, with over 395,000 fatalities. This pandemic has not only affected the health sector but has also impacted various other economic sectors, including the stock market. Developing countries like Indonesia have felt the repercussions, evident in the movements of the Composite Stock Price Index (IHSG). Studying the IHSG's trends before and during the COVID-19 pandemic is crucial as a guide for governments and companies in managing foreign fund flows, maintaining index stability, and preserving economic value (Nurmasari, 2020). In this context, the Indonesia Stock Exchange (PT. Bursa Efek Indonesia) and the Financial Services Authority (Otoritas Jasa Keuangan or OJK) have introduced new policies to prevent a decline in the capital market caused by Covid-19. The decision by the Indonesia Stock Exchange states that these measures are taken to reduce the spread of the virus.

Representation of Indonesian Leaders Post Covid-19 Revealed Through On Line Media Reports by BCC Indonesia and CNN Indonesia: A Study of Critical Discourse Analysis

Representation of Indonesian Leaders Post Covid-19 Revealed Through On Line Media Reports by BCC Indonesia and CNN Indonesia: A Study of Critical Discourse Analysis

Ketika Krisis Siapa Bertanggung Jawab? Analisis framing Pertanggungjawaban Pertamina Terhadap Korban Kebakaran Depo Plumpang

In every crisis, questions almost always arise regarding the company's responsibility for victims resulting from the crisis. It also depends on how the media frames it. This research was conducted to determine the form of framing of news articles regarding Pertamina's responsibility for the victims of the Plumpang Depot fire. Analysis was carried out for news broadcasts by CNN Indonesia and Kompas.com. The framing analysis model used is Robert Entman. The news analyzed consisted of nine news stories from CNN Indonesia and ten news stories from Kompas.com. The research results found that these two media tend to present news from a point of view that is in line with the government, an aspect that is manifested through the prevalence of reporting that emphasizes clarification from accurate and trustworthy parties, especially from Pertamina's internal sources. The difference in reporting on CNN and Kompas lies in the focus of the reporting delivered. CNN focuses on Pertamina's accountability, while Kompas focuses on Pertamina's handling of victims affected by the Plumpang Depot fire.

IMPLEMENTASI WEB SCRAPING PADA PORTAL BERITA ONLINE

This report discusses the use of web scraping on several well-known online news portals in Indonesia, such as CNBC Indonesia, CNN Indonesia, Kompas, Merdeka, Suara, Jawapos, JPNN, Republika, and Inews. Web scraping is used as a method to collect data from web pages automatically and efficiently. The web scraping process is carried out using the Visual Studio Code application with the Python programming language and the beautifulsoup library. This web scraping method is divided into several stages, starting from opening the scraping template, determining the website from which the data will be collected, exploring and navigating the site to identify the important elements that you want to retrieve, to running the web scraping and generating the desired data. The results of web scraping are in the form of media, titles, subtitles, news URLs, content, news dates, news editors, news journalists, and news locations. Through the implementation of web scraping, this research concludes several important things. First, web scraping helps simplify the process of collecting data from various news sources and combining them into one easily accessible place. Second, with web scraping, data analysis can be done more quickly and efficiently than manual collection methods. Finally, the results of web scraping can be used to see trends and patterns and analyze public sentiment towards news and certain topics, providing valuable insights for people's understanding of current issues.

Ondel-Ondel Culture: People's Perception on the Shifting in Function and Value Degradation

Ondel-ondel is one of Jakarta’s most prominent cultures. It is a giant doll made of woods and decorated with cotton clothes and human-like embellishments. However, there has been a shift in the way people perceive its role. Ondel-Ondel, which was initially used in significant ceremonial contexts, has evolved into a tool for busking or street entertainment, or more commonly known as Ondel-Ondel Ngamen. At the moment, Ondel-Ondel Ngamen has captured big interest of online users on YouTube. There is a variety of comments on YouTube regarding the existence and representation of Ondel-ondel Ngamen. In this study, the author aims to evaluate YouTube comments regarding people's perceptions of the Ondel-Ondel culture. The author applies a qualitative approach by providing the data from the top-three Indonesian news-related YouTube channels; CNN Indonesia, KompasTV, and Metrotvnews. The dataset is taken from any other scholarly articles that support this analysis. In this study, the author utilizes Stuart Hall's encoding-decoding and commodification theories to evaluate how people perceive Ondel-Ondel, which has undergone a shift in function and value degradation. This study's findings indicate that Ondel-Ondel is vulnerable to commodification. It is no longer regarded as a sacred aspect of rituals or noteworthy occasions.

Understanding Cybersecurity Behavior in the Banking Industry Using Protection Motivation Theory

The widespread adoption of digital technology has brought about significant transformations in various industries, including banking, where internet-based applications are used extensively for customer transactions. However, along with these advancements, there has been a parallel increase in cybercrime incidents, posing serious challenges for individuals and organizations. In Indonesia, this issue is particularly pronounced, with the country ranking as the eighth globally and the highest in Southeast Asia for the number of data breaches in 2022 (Dihni, 2022). Among the various forms of cybercrime, online fraud, such as phishing scams targeting banking customers, has become increasingly prevalent, leading to substantial financial losses (CNN Indonesia, 2022). In response to this alarming trend, regulatory bodies in Indonesia, including the Financial Services Authority and the Indonesian Central Bank, have devised a roadmap to strengthen IT security systems and mitigate cyber risks in the banking sector. While measures have been implemented to counter cybercrime risks, the perception of users regarding these threats often goes unnoticed. Previous research has primarily focused on individual awareness of cybercrime threats, overlooking the influence of perceived knowledge and protection habits on cybersecurity behavior (Shappie et al., 2019; Kimpe et al., 2021; Zwilling et al., 2022). Keywords: Cybersecurity behaviour, Mobile banking, Perceived knowledge, Protection habit, Protection Motivation Theory (PMT)

Pengembangan Ekowisata melalui Strategi Bauran Komunikasi Pemasaran (Marketing Communication)

The Thousand Islands is a district area that is part of the city of Jakarta. The Thousand Islands consist of 110 islands, of which 16 are resident islands and resort islands or islands that are intended as tourist destinations (Jakarta.go.id, 2019). The Thousand Islands have a variety of beach and marine tourism attractions. As one of the islands in the Jakarta Province area, the existence of marine-based Seribu Islands tourism is unique in its own right. Based on data from the Seribu Islands Tourism and Creative Economy Sub-agency, only 30% of Jabodetabek people know the tourist area well, which is part of the DKI Jakarta area (CNN Indonesia, 2019). The research approach used in this study was qualitative research. The selection of informants was carried out using non-probability techniques due to suitability in the context of qualitative research. Of the various marketing communication mix activities carried out, online publications are still not optimized. In addition, supporting facilities are needed, such as transportation and lodging that are proper and CHSE certified, so that tourists who visit have a different experience and can deliver a massive word-of-mouth campaigns.

Government loudspeakers: How Indonesian media amplifies the state's narrative towards the Free West Papua movement

In early 2021, the Indonesian Coordinating Minister for Politics, Law and Security, Mahfud MD, made a statement that all armed actions in West Papua carried out by individuals or groups with the aim of liberating themselves are ‘acts of terrorism’. This was the moment when the Indonesian government formally labelled the Free West Papua Movement as ‘terrorist suspects’ and ‘terrorist organisations’. Indonesian online media responded by providing extensive coverage of Mahfud MD’s statement and the excesses after this statement. Indonesian online media tend to use the term ‘terrorist’ in their reporting to label ‘separatist’ West Papua movements, those seeking independence or self-determination. The term ‘terrorist’ replaces Armed Criminal Group—Kelompok Kriminal Bersenjata (KKB). This study shows how six Indonesian mass media organisations frame cases of labelling terrorists against West Papuan pro-independence groups. This study, using quantitative framing analysis, examines framing conducted by six national online media which are dominant in Indonesia and have the most audience share: Okezone, Detik, Kompas.com, Tribunnews, CNN Indonesia and Tirto. This study also elaborates the experiences and perceptions of journalists who write on the issue of West Papua, particularly in terms of labelling West Papuan ‘separatist’ groups as ‘terrorists’ by the government and how the media frames West Papua. The findings of this study show that the media tend to only be a ‘loudspeaker’ for the government, use all discourses issued by the government, and even participate in using the term terrorist to replace the KKB.

PENGARUH CHANNEL YOUTUBE CNN INDONESIA “ PRESTASI ANAK PEMULUNG “ TERHADAP KEMAMPUAN MENGIDENTIFIKASI TEKS PERSUASI SISWA KELAS 8 SMP NEGERI 58 PALEMBANG

The study discusses the influence of CNN Indonesia YouTube Channel “ Prestasi Anak Pemulung " on the ability to identify persuasive texts of 8th grade students of SMP Negeri 58 Palembang. This study was conducted to determine the influence of CNN Indonesia YouTube Channel "Prestasi Anak Pemulung" on the ability to identify persuasive texts of 8th grade students of SMP Negeri 58 Palembang. The reason for this research is because the researchers found several problems, including the lack of innovation in student learning, lack of interest in student learning, monotonous student learning methods and so on. This study uses a type of experimental quantitative research. This research method involves a true experiment by using 2 classes as a sample in the study with a design using 2 groups, namely the experimental group and the control group. Data collection techniques in this study include tests and documentation, with 2 times the pre-test and post-test data collection for 4 meetings. Analysis of usage data of CNN Indonesia YouTube channel "Prestasi Anak Pemulung" using SPSS analysis. The results of this research are expected to be useful for students to be able to learn in a more modern and fun way, for teachers to be able to conduct more elastic learning with the Times, and for future researchers to be inspired to provide other solutions to this problem. 
 Keywords: Influence, YouTube Channel, Persuasion Text, CNN Indonesia, identify

Framing Analysis of Earthquake News on CNN Indonesia Online Media

This research aims to provide information related to news framing analysis on CNN Indonesia online media in the Bali earthquake. This framing analysis research uses the approach by Zhongdang Pan and Gerald M. Kosicki. The method used is descriptive qualitative. The results of this study are based on the use of four structures including 1) The syntactic structure in this news has a headline, 2) the script structure in this news shows that the main purpose of this news is to provide information about the natural earthquake disaster that occurred in Bali, 3) The theme emphasized in this news is about the M 4.8, 4) There are three rhetorical structures in the news, which are shearing, landslides, rock falls. It can be concluded that the syntactic aspect in the headline section is mentioning the Earthquake in Bali. The lead and background information contains information from BMKG. For the quotation section, there is only one source, namely Daryono. Then, CNN Indonesia online media does not write statements and opinions in the news. The script element in this media has reached perfection, where CNN has used the 5W + 1H elements in writing its news properly and correctly. The thematic element in CNN Indonesia media is explanatory coherence. Lastly, the rhetorical element in the media uses a choice of substitute words that are rarely known by the public

The satisfaction level of Surabaya's community regarding the "Good Morning" news program on CNN Indonesia at Trans TV

Television news is one of the television programs that almost owned by all the private television stations and the government. Through the news of television show, the viewers can find a variety of important and interesting information inside and outside the country, then get more information of government, economic, criminal, disaster, etc. This study aims to find out the audience’s satisfaction in watching CNN Indonesia Good Morning news program on Trans TV. The sample used 100 people by using Slovin techniques, in which only Surabaya citizen who had watched Indonesian CNN news programs at least 3 times. Furthermore, the audience satisfaction is measured by using Gratification Sought (GS) and Gratification Obtained (GO) approaches. The result shows that the audience gained the satisfaction from fulfilling the information motives with a significant gap value in watching the Good Morning CNN Indonesia news program on Trans TV. However, the audience did not get satisfaction from fulfilling the personal identity motives with insignificant gap values. Moreover, the audience gained the satisfaction from fulfilling of the integration and social interaction motives with a significant gap value, and then the audience also obtained the satisfaction from fulfilling the entertainment motives with insignificant gap values. In general, the audience gets the fulfilment of satisfaction from the information motives, the integration and social interaction motives. It means that the information, integration, and social interaction contents presented by Good Morning CNN Indonesia news is sufficient to meet the needs of the audience. The results of this study can be used as a good input for the manager of Good Morning CNN Indonesia news program on Trans TV to maintain the information content, the social integration and interaction content, and also to strengthen the news content of the personal identity and entertainment.

Translation Analysis of the News Script on Reporting George Floyd Death in the United States

This article aims examines the translation accuracy and find out some translation techniques on a news script of George Floyd case report in several media. This article uses descriptive qualitative method to analyze translation errors of on the news script and involves the researcher as the primary instrument to gain the data taken from the official website of BBC, CNN Indonesia and TIMES Indonesia and twitter. The data were analyzed in order to investigate and recommend the reporters and readers to understand comprehensively about transferring messages especially on sensitive issue George Floyd Death in the United States considered as a taboo case. Showing by these cases, the translation conducted a different and omission meaning. The result of this article figures out some translation errors those are different meaning or wrong meaning, and omission which tend to cause misperception from the readers. Since, the process of translation in the media definitely affects readers' understanding on how the news reports and it can influence people's actions and assumptions.

Implementation of Web Scraping on Google Search Engine for Text Collection Into Structured 2D List

Purpose: This research proposes the implementation of web scraping on Google Search Engine to collect text into a structured 2D list.Design/methodology/approach: Implementing two important stages in the process of collecting data through web scraping, namely the HTML parsing process to extract links (URL) on Google Search Engine pages, and HTML parsing process to extract the body text from website pages on each link that has been collected.Findings/result: The inputted query is adjusted to the latest issues and news in Indonesia, for example the President's important figures, the month of Ramadan and Idul Fitri, riots tragedy (stadium) and natural disasters, rising prices of basic commodities, oil and gold, as well as other news. The least number of links obtained was 56 links and the most was 151 links, while the processing time to obtain links for each of the fastest queries was 1 minute 6.3 seconds and the longest was 2 minutes 49.1 seconds. The results of scraping links from these queries were obtained from Wikipedia, Detik, Kompas, the Election Supervisory Body (Bawaslu), CNN Indonesia, the General Election Commission (KPU), Pikiran Rakyat, and others.Originality/value/state of the art: Based on previous research, this study provides an alternative to produce optimal collection of links and text from web scraping results in the form of a 2D list structure. Lists in the Python programming language can store character sequences in the form of strings and can be accessed using index keys, and manipulate text efficiently.