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The rapid urbanization and industrialization of cities have significantly contributed to the rising pollution levels, especially in urban rivers, where water quality is often compromised. Monitoring water quality in real-time is essential for mitigating the adverse effects of water contamination. This research aims to design and implement an Internet of Things (IoT)-based system for real-time monitoring of water quality in urban rivers, focusing on the continuous collection and analysis of environmental data. The system utilizes a range of sensors to measure critical water quality parameters, including pH, temperature, dissolved oxygen (DO), turbidity, and various contaminants, all of which transmit data wirelessly to a central server for further processing. The study evaluates the accuracy, reliability, and efficiency of the IoT system in detecting water pollution and its ability to deliver real-time insights. Findings demonstrate that the IoT system offers a higher level of precision and faster detection compared to conventional monitoring methods, making it an effective tool for real-time pollution detection and decision-making. Additionally, the integration of the IoT system with a user-friendly visualization platform enhances the accessibility of the data for stakeholders, enabling them to monitor the water quality effectively. The study suggests that IoT-based water quality monitoring systems present a sustainable long-term solution for urban water management, offering cost and time savings. Moreover, the research highlights the importance of cross-sector collaboration to support the development and deployment of IoT technologies and recommends further advancements in sensor technologies to monitor additional water quality parameters.  

Government content is not trusted by the public and is boring. Policies on government social media are not well socialized. This phenomenon makes the Directorate General of Sea Transportation's public relations adapt the trend for publishing policy message information. The aim of this research is to determine the pattern of preparing government policy messages in building the image of the Directorate General of Sea Transportation. The theory used in this research is message structuring theory. The theory consists of attention, need, satisfaction, visualization, action. This research use desciptive qualitative approach. Data collection techniques were carried out using in-depth interviews and documentation methods. In testing the validity of the data, a source triangulation test was carried out using in-depth interview techniques. The results of this research are that the pattern of preparing government policy messages on Instagram @djplkemenhub151 is quite good. This can be seen from the message preparation process carried out by the public relations team. The attention stage is found by determining the agenda setting, determining the type of Indonesian and English, the language is semi-formal, the factor that influences the message to attract attention is the trend. The need stage is carried out with research. determine the actual topic that is used as a message, and look for references in online media. The satisfaction stage is obtained by selecting the right visuals. The visualization stage was obtained through determining the visual characteristics of the bombang icon and determining the turquoise green display color. The action stage is that the public relations team carries out preparations and team discussions to compose the message. The interaction that is built is carried out by responding quickly and responsively to the hotline service or replying to comments. The conclusion from this research is that a good message structuring pattern can build a positive image of the Directorate General of Sea Transportation.

In Indonesia, the Job Creation Law has had a major impact on workers, especially in terms of policies that tend to favor companies. The emphasis on labor flexibility and the ease with which companies can restructure can reduce job security, wages, and workers' rights. Inequalities in labor contract negotiations arise as the power differential between companies and workers widens. Thus, modern slavery practices often emerge to make workers feel marginalized. This is due to the lack of legal protection, which is detrimental to their health. Therefore, this study aims to provide an explanation of the effect of government regulation in the form of omnibus law and investment policies on the welfare of workers in terms of wages and working time. To achieve this goal, this research uses a political economy perspective with two derivative theories, namely the theory of oligarchy and neoliberalism. Then, in collecting data, this research will use the big data analytics method that will collect data containing tweets from Indonesians on social media X that contain certain keywords. This method consists of several stages consisting of data cleaning processing, data transformation into tabular form, and data visualization. Besides big data, this research also uses literature review methods to collect data from books, journals, and articles related to this research topic.

Dieonic is an Alternative Rock music group with the Shoegaze subgenre hailing from Padang, Indonesia. Formed in 2022, Dieonic presents a fusion of key shoegaze elements within a series of alternative rock tracks, refining the essence of emo music. In the midst of Padang's vibrant underground music scene, Dieonic emerges with a distinctive sound, deviating from the conventional trends. This latest project aims to develop a visual communication concept that mirrors the artistic visualization of Dieonic's musical creations and their unique identity. Beyond offering educational insights into the significance of album design in the music industry, this endeavor concentrates on fortifying Dieonic's visual branding as a pivotal aspect of the band's identity, employing a semiotic approach. The cover design for Dieonic's 'Collide' album underwent a meticulous process, utilizing the 5W+1H analysis and the 4D method design for data analysis. The subsequent creative design seeks to encapsulate the band's essence. The resulting design serves as the primary medium in the form of the album itself, accompanied by supplementary materials such as album CDs, booklets, Spotify previews, posters, t-shirts, and flags. These diverse media will undergo thorough testing for their efficacy with a verified target audience to gauge their overall success.

Education in elementary schools has the aim of helping students understand problems in everyday life. The national education system states that education aims to develop the potential of students to become human beings who have faith, noble character, health, knowledge and responsibility. In the context of mathematics education, the PMRI (Indonesian Realistic Mathematics Education) approach is used to help students understand mathematical concepts through real experiences and the context of everyday life. The data grouping learning trajectory using the PMRI approach aims to help grade 1 elementary school students understand the concept of data grouping. The use of sorting and choosing props can also improve the learning outcomes of low grade students in sorting and selecting certain objects or concepts. The aim of this research is that it is hoped that students can learn more effectively through direct experience, visualization and physical movements involved in the sorting and choosing process. Data was collected through interviews and tests. Based on the results and discussion of the research that has been conducted, it can be concluded that the design of a data grouping learning trajectory for elementary school students using an Indonesian realistic mathematics education approach is theoretically able to provide a deeper understanding of data grouping for grade I elementary school students. With the principles in PMRI, students are given the opportunity to develop a conceptual understanding of data grouping with the help of the images provided.

This study aims to determine the mapping of research around optimal portfolios in wealth management on stock investment with a mix-method approach, namely VOSviewer bibliometric studies and literature reviews. “Data analysis techniques include: (1) mapping the number of journal publications spread around the Optimal Portfolio using Microsoft Excel and Mendeley Desktop by year of publication; (2) mapping the results of bibliometric network visualization and journal publication trends around the Optimal Portfolio using VOSviewer (Visualization of Similarities) algorithm software based on the number of clusters and their items; and (3) map research topics around the Optimal Portfolio using literature studies. The results showed that: (1) based on mapping the number of journal publications, there were 500 journal publications around the optimal portfolio; (2) based on the mapping of VOSviewer bibliometric studies The results of network visualization around the optimal portfolio are divided into 6 clusters and 163 topic items; (3) Based on the mapping of literature review studies, there are 2 topics around optimal portfolios that often appear first optimal and second stocks. The implication and contribution of this study is to map research topics around optimal portfolios in stock investments that are often or rarely researched by researchers, so that they can be a reference for researchers afterwards”.