Mujiarto, Calysta Amelia
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Pengaruh Terpaan Konten Politik Instagram @bijakmemilih.id Terhadap Minat Memilih di Pemilu 2024 Mujiarto, Calysta Amelia; Simamora, Fidelia; Naila Almaida
Translitera : Jurnal Kajian Komunikasi dan Studi Media Vol 13 No 2 (2024): September 2024
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/translitera.v13i2.3611

Abstract

Data from the Kominfo RI notes that Instagram is in third place with 148 hoax contents. The @bijakmemilih.id Instagram account presents content about elections from a neutral, objective, and interestingly packaged side to target novice voters. This research is interesting to find out whether or not there is an influence from the exposure of @bijakmemilih.id content on the interest in voting for novice voters and senior voters. Respondents of this study totaled 100 and were samples taken from the population of Instagram followers @bijakmemilih.id. This research uses the Elaboration Likelihood Model theory with a quantitative approach and survey method. Based on 100 answers, the results show that novice voters and senior voters are influenced by the exposure of @bijakmemilih.id content so that they have an interest in voting in the 2024 election, the message is received through the central route.
Analysis of Message Design Logics in the Debate Speeches of a Female Candidate in the 2024 East Java Gubernatorial Election Novianty, Suci Marini; Mujiarto, Calysta Amelia
WIDYAKALA JOURNAL : JOURNAL OF PEMBANGUNAN JAYA UNIVERSITY Vol 13, No 1 (2026): Urban Lifestyle and Urban Development
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat UPJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36262/widyakala.v13i1.1507

Abstract

This study aims to analyse the message design logics in the debate speeches of Luluk Nur Hamidah in the 2024 East Java Gubernatorial Election using O’Keefe’s Message Design Logic (MDL) framework. The study adopts a post-positivist approach with a qualitative content analysis method, focusing on messages as the unit of micro-level analysis. The research subject consists of the opening and closing speeches delivered by Luluk Nur Hamidah in the first, second, and third official gubernatorial debates. The data were obtained through speech transcription and segmented into 87 message units, which were subsequently coded into three MDL categories: Expressive, Conventional, and Rhetorical logics. The coding process was conducted systematically, and intercoder reliability was tested using Holsti’s formula. The findings indicate that Conventional Logic is the most dominant, followed by Expressive and Rhetorical logics. These results reflect a tendency toward message construction aligned with norms of politeness and communicative conventions in formal debate settings, accompanied by the articulation of social facts and programmatic statements. This study confirms the relevance of MDL as an analytical framework for mapping patterns of message design logics in political debate speeches at the textual level.