Hubungan kualitas informasi akun instagram @coffeeineseeker dengan pemenuhan kebutuhan informasi followers. Pelajari hubungan kualitas informasi akun Instagram @coffeeineseeker dengan pemenuhan kebutuhan followers akan referensi kafe. Analisis relevansi & akurasi informasi.
This study discusses the relationship between information quality on the @coffeeineseeker Instagram account and the fulfillment of followers’ information needs. the purpose of this study is to determine whether there is a relationship between the quality of information on the @coffeeineseeker Instagram account and the fulfillment of followers’ information needs. measurement of information quality using information quality theory according to McLeod and Schell which consists of relevant, accuracy, timeliness, and completeness of information. The method used in this research is a quantitative method with a correlational approach. The sample used was 100 respondents selected using probability sampling with simple random sampling technique. Data collection techniques through online questionnaires, observations, interviews, and literature studies. This study uses the spearman rank correlation test technique. The results showed that there is a relationship between the information quality of the @coffeeineseeker Instagram account and the fulfillment of followers’ information needs. There is a relationship between relevance, accuracy, timeliness, and completeness of information with followers’ information needs. This means that the information provided by the @coffeeineseeker Instagram account meets the information quality indicators, so that it can fulfill followers’ information needs about café references.
The study, "HUBUNGAN KUALITAS INFORMASI AKUN INSTAGRAM @COFFEEINESEEKER DENGAN PEMENUHAN KEBUTUHAN INFORMASI FOLLOWERS," addresses a highly pertinent topic in the current digital era: the interplay between information quality on social media and user information needs. The paper's clear objective—to ascertain the relationship between the information quality of a specific Instagram account (@coffeeineseeker) and the fulfillment of its followers' information needs—is well-defined. This research area is increasingly critical as social media platforms evolve into significant sources of specialized information, making this inquiry timely and relevant to understanding online consumer behavior and content efficacy. Methodologically, the research adopts a quantitative approach with a correlational design, which is appropriate for its stated aim. The study's foundation on McLeod and Schell's information quality theory, specifically considering dimensions of relevance, accuracy, timeliness, and completeness, provides a robust theoretical framework for analysis. The use of a sample of 100 respondents, selected through probability sampling with simple random sampling, suggests a sound approach to data collection. The application of the Spearman rank correlation test is a suitable statistical technique for examining the relationship between the identified variables. The clear articulation of findings, indicating a significant relationship across all four dimensions of information quality with followers' information needs regarding café references, presents a compelling conclusion. While the abstract effectively outlines the study's scope and key findings, the full paper would benefit from a more detailed discussion of the implications beyond merely establishing a relationship. For instance, exploring the practical ramifications for content creators on Instagram, user engagement, or even the broader impact on the local café industry, could enhance the study's contribution. Additionally, clarification on how "observations" and "interviews" were utilized as data collection techniques alongside online questionnaires in a purely quantitative, correlation-based study would be valuable. Nevertheless, this study makes a valuable contribution to understanding the dynamics of information consumption and quality perception on social media, offering a solid foundation for further inquiry into digital information ecosystems.
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