Introduction: The 2024 Indonesian presidential election will see significant Generation Z participation, yet unverified political information may affect their understanding. The documentary ‘Dirty Vote’ has the potential to enhance political knowledge and influence voting decisions, particularly regarding election fraud--a key concern for Generation Z voters who are active digitally but vulnerable to misinformation. Using the Elaboration Likelihood Model (ELM), this study examines how the documentary influences political knowledge, mediates voting decisions, and affects political engagement. The research evaluates whether ‘Dirty Vote’ can effectively enhance political understanding and shape voting choices among Generation Z.

Methods: This explanatory quantitative study targets viewers of the ‘Dirty Vote’ documentary on social media. A sample of 384 participants was determined using the Lemeshow formula and non-probability purposive sampling. Data were collected via Google Forms and analyzed using Generalized Structured Component Analysis (GSCA). The ELM theory guided the analysis.

Findings: The study found that ‘Dirty Vote’ significantly enhances political knowledge and influences voting decisions among Generation Z. Political knowledge acted as a mediator, strengthening the documentary's impact. The credibility of the documentary’s source also played a key role in how the information was received. These findings suggest that documentaries can be an effective tool for political education, particularly for young voters.

Originality: This study provides new insights into the role of documentaries in political education for Generation Z in Semarang, using ELM theory and GSCA to explore media’s impact on political knowledge and behavior.

This study aims to determine the visual pollution of outdoor advertising in Semarang City, especially in the city center, namely Tugu Muda with five road segments supporting the area. The method used is the Analytical Hierarchy Process (AHP) by considering six parameters including physical conditions, land use, placement, display surface, size, and distance. The data used are spatial data in the form of taking coordinates in the field using the Survey123 application and non-spatial data in the form of accumulated scores for each parameter used. The results of this study are that the surface display parameter has the highest weight of 38.127%. 209 points of outdoor advertising have been surveyed in the field with a total of 85 points of low visual pollution, 52 points of high visual pollution, 37 points of medium visual pollution, and 20 and 15 points of very low and very high visual pollution respectively. Although the distribution of outdoor advertising has a fairly high density, the results of processing and scoring with the AHP method of outdoor advertising with low visual pollution dominate.