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This study examines the partial and simultaneous effects of promotional strategies, risk perception, and resale price perception on public interest in gold investment at PT Pegadaian Dompu Branch. The research employed a quantitative explanatory approach involving 96 respondents selected from a population of 50,000 customers using purposive sampling. Data were collected through a structured questionnaire based on a five-point Likert scale and analyzed using multiple linear regression with SPSS version 26. The findings reveal that promotional strategies have a positive and significant influence on public interest in gold investment, indicating that effective promotional activities encourage customers to invest. Risk perception also shows a positive and significant effect, suggesting that customers with better understanding and management of investment risks are more inclined to invest in gold. In addition, resale price perception positively and significantly affects investment interest, reflecting the importance of customers' confidence in obtaining favorable resale values. Simultaneous testing using the F-test confirms that the three independent variables jointly have a significant effect on public interest in gold investment. The coefficient of determination shows an Adjusted R Square value of 33.9%, meaning that promotional strategies, risk perception, and resale price perception explain 33.9% of the variation in investment interest, while the remaining 66.1% is influenced by other factors not included in this research model.

This study aims to synthesize empirical and theoretical literature on the Planning–Organizing–Actuating–Controlling (POAC) framework in public sector management, identify asymmetries among its functions, and propose a reconfiguration of POAC that is relevant to digital and collaborative governance. The study employs an integrative literature review by examining classical management literature, peer-reviewed journals, government regulations, and official governance indicators. Data were analyzed thematically based on the four POAC functions and synthesized across themes, using Indonesia during the 2021–2025 period as the empirical context. The findings reveal that planning and organizing functions have developed relatively well, while actuating and especially controlling remain persistent weaknesses. This condition is reflected in improvements in several formal governance indicators, including the Electronic-Based Government System (SPBE) Index, Indonesia’s ranking in the E-Government Development Index (EGDI), Unqualified Audit Opinions (WTP), and public service compliance ratings. However, during the same period, the Corruption Perceptions Index (CPI) declined. These findings indicate a gap between administrative achievements and substantive outcomes, consistent with the concept of means–ends decoupling in neo-institutional theory. The study contributes by bridging classical management theory with contemporary governance paradigms and proposing a Data-driven, Networked, Adaptive, and Participatory (DNAP) model of POAC. Practically, the results highlight the need to strengthen controlling functions and adaptive leadership to foster more effective, transparent, and outcome-oriented public governance.

Based on the current existing conditions, Perumnas IV frequently experiences challenges in both the maintenance of its facilities and infrastructure and the perception of its residents. This study aims to: 1) Determine the morphology and typology of the Perumnas IV Padang Bulan area, 2) Determine the level of feasibility of the infrastructure based on SNI 03-1733-2004, and 3) Determine public perception of the infrastructure based on existing conditions and research analysis results. The research method used by the author in this study is a mixed method using an Explanatory Sequential Design approach and a comparative approach. The difference in feasibility percentages between SNI and public perceptions explains that residents have become accustomed to living with the existing facilities and infrastructure, so that the suitability between existing conditions and applicable technical requirements is not a problem in daily life.

This study aims to identify and analyze the logical fallacies that arise in public conversations about environmental issues and natural resource management on Indonesian social media using a descriptive qualitative approach. Data were collected through scraping techniques using the Python programming language and subsequently analyzed using an informal logic framework to identify various forms of fallacious reasoning. The findings reveal the presence of multiple fallacies that substantially influence public understanding of causal relationships within environmental dynamics. These fallacies contribute to oversimplification, shifts in attention away from scientific evidence, and the emergence of distorted perceptions regarding structural factors in spatial planning and natural resource governance. This study contributes to environmental communication scholarship by emphasizing the importance of critical thinking literacy in improving the quality of public deliberation and supporting the formulation of evidence-based environmental policies.

The urgency of this research stems from the knowledge gap regarding contextual factors contributing to the underuse of learning media in rural elementary schools, which has not been adequately addressed in previous research, which has tended to focus on urban contexts. This study aims to examine teachers' perceptions at Sugayang Public Elementary School regarding the underuse of learning media in the learning process, as well as the factors that contribute to it. The method used was a descriptive qualitative method, utilizing in-depth interviews as a data collection technique. The data were then analyzed using data reduction, data display, and conclusion drawing techniques according to Miles and Huberman. The results showed that teachers experienced difficulties in using technology, difficulties in creating learning media, and the perception that using media was time-consuming. This reveals an important pattern that the underuse of learning media is a systematic problem rooted in the TPACK gap that is not supported by practical time management solutions. These findings imply that changes in learning practices will not occur simply through the provision of generic technology tools or training; rather, bottom-up and contextual solutions are needed. The novelty of this research lies in the in-depth qualitative approach applied to the under-researched context of rural elementary schools, which has not been studied before. This research contributes through recommendations for the implementation of a peer-mentoring program and the development of a ready-to-use digital learning media bank, thus offering valuable insights for future research with relevant stakeholders.

This study aims to explore the perceptions and meanings of maslahah (public welfare) values in the implementation of the Free Nutritious Meal Program (MBG) at SD Negeri 030413 Salak, Pakpak Bharat Regency, North Sumatra Province. Pakpak Bharat Regency records a stunting prevalence of 28.9% far exceeding the national average of 19.8% while most beneficiary families are low-income and lack adequate access to nutritious food. This research employs a qualitative approach with a phenomenological design through semi-structured in-depth interviews, participatory observation, and documentation involving nine informants. Data analysis was conducted using the Miles and Huberman interactive model with interpretation based on the maqāṣid al-sharīʿah framework. The findings reveal five integrated dimensions of maslahah: fulfillment of ḥifẓ al-nafs through improvements in students’ physical health; strengthening of ḥifẓ al-ʿaql through increased concentration and learning readiness; preservation of ḥifẓ al-nasl through early intervention against stunting; realization of ḥifẓ al-dīn through religious practices accompanying the program; and protection of ḥifẓ al-māl through reduced household expenditure. Overall, the MBG Program functions not only as a nutritional intervention but also as a public policy aligned with maqāṣid al-sharīʿah, contributing to the multidimensional achievement of falah.

This study aims to analyze the political culture of the community in supporting the implementation of social assistance programs in Rantau Indah Village, Tanjung Jabung Timur Regency. This research employed a descriptive qualitative approach to understand community political culture through cognitive, affective, and evaluative orientations toward social assistance programs. Data were collected through interviews, observations, and documentation involving village officials, RT/RW leaders, and social assistance beneficiaries. The findings indicate that community political culture plays an important role in supporting the implementation of social assistance programs. In the cognitive aspect, most people understand the existence and objectives of social assistance, although some still have limited understanding of beneficiary criteria. In the affective aspect, the community shows trust in village officials despite perceptions of inequality in aid distribution. Meanwhile, the evaluative aspect reflects community participation in supervision and feedback. Overall, community political culture tends to be participatory in supporting social assistance implementation. The study also reveals that transparent communication, active community involvement, and accountability of village authorities contribute significantly to strengthening public trust and improving the effectiveness of program implementation. Community participation in monitoring and evaluating the distribution process helps minimize potential conflicts and encourages greater transparency. These findings suggest that strengthening political awareness, enhancing public access to information, and promoting participatory governance are essential to ensure that social assistance programs are implemented fairly, effectively, and sustainably while improving community welfare and reinforcing good local governance practices.

This study aims to identify the management system for Taman Imbi by the Department of Public Works and Public Housing (Dinas PUPR) and to analyze its comfort level based on the perceptions of park visitors and street vendors (PKL). Taman Imbi, managed by the PUPR Service (Section for Environmental Management and Parks), is one of the main urban parks in the city center of North Jayapura District. The research uses a descriptive, qualitative approach combined with Likert-scale analysis. Primary data were obtained from questionnaires distributed to 100 park visitors and 10 business actors (PKL) operating around the park. Eight comfort indicators were assessed, based on Hakim (2003): aesthetics, cleanliness, safety, noise, circulation, aroma, physical form, and climate/natural forces. Results indicate that, based on visitor perceptions, the overall comfort level was 56.0% (fairly good), while PKL perceptions were 64.4% (good). Among all indicators, circulation scored the lowest for visitors (46.2%), particularly ease of access. Aroma/odor scored the highest for PKL (80.0%). The study recommends rehabilitating park facilities, reactivating security posts, improving pedestrian and parking access, and clarifying spatial zoning for economic and community activities in the park.

Nature tourism is one of the sectors that plays an important role in supporting the development of regional tourism, including in Lahat Regency, which has significant waterfall tourism potential. Currently, many visitors share their reviews and experiences through digital platforms such as Google Maps. This review can be used as a source of information to understand the public's evaluation of the quality of tourist attractions. This study aims to examine public perception of tourist attractions in Lahat Regency using the Support Vector Machine (SVM) method. Research data were collected through scraping from Google Maps, totaling 500 reviews from five tourist attractions, namely Curup Maung, Curup Buluh, Senyawe Waterfall, Panjang Waterfall, and Green Canyon. The research stages include data preprocessing, consisting of cleaning, case folding, normalization, tokenization, stopword removal, and stemming. After that, feature extraction was carried out using the TF-IDF method and the classification process using the SVM algorithm. Based on the research results, the Support Vector Machine (SVM) method is able to perform sentiment classification quite well, although the accuracy level varies for each tourist attraction. Curup Maung and Panjang Waterfall achieved the highest accuracy level of 90%. Nevertheless, most visitor reviews were dominated by negative sentiments. This indicates that there are still several aspects that need to be improved, particularly related to tourist facilities and services. This research is expected to serve as a consideration for tourism managers and local governments in efforts to improve management quality as well as the development of tourism in Lahat Regency.

This study examines sarcastic implicatures in the 2024 United States presidential debate between Joe Biden and Donald Trump, with a particular focus on Donald Trump’s utterances. The study aims to identify the forms and types of sarcastic implicatures employed in political discourse during the debate. A qualitative descriptive method with a pragmatic approach was used to analyze how implied meanings are constructed and interpreted within the context of political communication. The data consisted of debate transcripts and video recordings broadcast by CNN, selected based on utterances containing elements of sarcasm. Data analysis was conducted through four stages: identification, classification, coding, and interpretation. The findings reveal that sarcastic implicatures are realized in two main forms, namely indirect non-literal utterances and direct non-literal utterances. In addition, several types of sarcastic implicatures were identified, including undermining, mockery, insult, criticism, and threat. The most dominant type was undermining, which was used to weaken the image and credibility of political opponents. These findings indicate that sarcastic implicatures function as an effective rhetorical strategy in political communication to influence public opinion, shape audience perceptions, and strengthen the speaker’s political position in televised political debates.

The integration of educational technology has become increasingly important in supporting effective learning processes. Google Drive is one of the widely used cloud platforms for online storage, access, and collaboration in educational activities. This study aims to examine the factors influencing vocational school students’ perceived ease of use (PEoU) of Google Drive as a learning support tool. The research model was adapted from the Technology Acceptance Model (TAM) by incorporating external variables, including Computer Self-Efficacy (CSE), Perceived Enjoyment (PE), Perceptions of External Control (PEC), Technological Complexity (TC), and Facilitating Conditions (FC). Data were collected from 274 students at a public vocational school in Central Java using an online questionnaire. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS. The findings reveal that Computer Self-Efficacy, Perceived Enjoyment, and Perceptions of External Control significantly influence students’ perceived ease of use of Google Drive. In contrast, Technological Complexity and Facilitating Conditions do not significantly affect perceived ease of use. These findings highlight the importance of internal user perceptions in supporting educational technology adoption among vocational school students.

The development of social media, especially TWITTER, has become one of the main means for people to express opinions and criticism on various issues, including the performance of law in Indonesia. This study aims to analyze public sentiment towards the performance of law based on TWITTER user comments using the Naïve Bayes algorithm. The research data consists of 1004 comments collected from several videos related to legal topics. The analysis process includes the stages of data crawling, pre- processing (text cleaning, normalization, and tokenization), labeling sentiment into positive, negative, and neutral, and testing the Naïve Bayes model. The results show that the Naïve Bayes algorithm is able to classify sentiment with an accuracy level of 93.73%. The distribution of sentiment from 1004 comments shows that the majority of public opinion is (negative/positive/neutral), which indicates that public perception of the performance of law is still (critical/positive). These findings are expected to be input for related parties to understand public opinion and improve the quality of legal performance in

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The method employed in this research is the Naive Bayes classification algorithm, known for its simplicity and effectiveness in text classification. To enhance the model’s performance, Particle Swarm Optimization (PSO) is applied to optimize feature selection and parameter tuning. The dataset consists of public tweets collected via the Twitter API, followed by preprocessing, feature extraction using TF-IDF, and sentiment classification into three categories: positive, negative, and neutral. The results indicate that the integration of PSO significantly improves the classification accuracy of the Naive Bayes model compared to the baseline. The majority of tweets related to #IndonesiaGelap exhibit a negative sentiment, indicating widespread public dissatisfaction and criticism. This research is expected to contribute to a better understanding of public perception and serve as valuable input for stakeholders in addressing social issues in the digital age.

This study examines young people’s perceptions of the Free Nutritious Meal Program (Makan Bergizi Gratis/MBG) and its impact on public trust in the government. The MBG program is one of the Indonesian government’s strategic policies aimed at improving nutritional quality, particularly for students, while supporting social welfare and human resource development toward Indonesia Emas 2045. In the digital era, social media plays a significant role in shaping public opinion, especially among Generation Z, who actively consume and disseminate information through online platforms. This research employed a qualitative descriptive approach with in-depth interviews, social media observations, and documentation studies as data collection techniques. The participants consisted of young people aged 18–25 years in Bandar Lampung selected through purposive sampling. The findings indicate that most informants perceive the MBG program positively because it is considered relevant to community needs, particularly in improving children’s nutrition and supporting economically vulnerable groups. However, public trust in the government remains conditional due to concerns regarding transparency, uneven distribution, food quality, and program supervision. The study also reveals that young people distinguish between support for the program itself and trust in the government as an institution. Positive perceptions of the program can increase political trust, but implementation weaknesses may reduce confidence in government performance. Therefore, transparency, consistency, and effective public communication are essential factors in strengthening public trust and ensuring the sustainability of the MBG program.

The development of artificial intelligence (AI) has fundamentally transformed digital marketing communication, while emerging as a strategic instrument in public relations practices of global corporations. This study aims to examine the construction of meaning around artificial intelligence as a financial solution within the cultural context of Lebaran, while analyzing the PR communication strategy employed by Google Indonesia in building persuasive messages for its public on digital platforms. The research object is a video advertisement posted on the official Instagram account @googleindonesia on March 7, 2025, promoting the Gemini Canvas feature for managing Tunjangan Hari Raya (THR) budgets. This study employs a descriptive qualitative approach with an interpretive paradigm, integrating two complementary analytical perspectives: first, Roland Barthes three-level semiotic analysis — denotation, connotation, and myth — to deconstruct meaning constructed through visual, verbal, and auditory signs in the advertisement; second, the PR communication strategy framework from Smith (2021) to identify how the choices of mascot, emotional message, and cultural appeal represent strategically planned communication decisions by Google Indonesia. The findings reveal that Google Indonesia constructs Gemini Canvas as an empathetic and culturally aware entity through three key elements: anthropomorphic symbolism in the form of a bespectacled cat functioning as brand mascot, local cultural markers of ketupat and THR, and Arabic-nuanced music that aurally reinforces the Lebaran atmosphere — all representing deliberate strategic PR decisions. From Smith’s (2021) perspective, the advertisement applies a proactive communication strategy combining negative emotional appeal — financial anxiety ahead of THR — immediately followed by positive emotional appeal as a concrete solution through Gemini Canvas, representing a structured form of public perception shaping. At the myth level, the advertisement normalizes reliance on digital platforms through systematic cultural localization. This study contributes to understanding AI-based digital marketing communication strategies and the shaping of public perception on AI technology by global corporations in the Indonesian market.  

This study aims to analyze the implementation of public service ethics by front office officers at the Public Service Mall (Mall Pelayanan Publik/MPP) of Samarinda City and its impact on the image of government institutions. As the frontline of public service delivery, front office personnel play a strategic role in shaping public perceptions and fostering public trust in government services. This research employed a qualitative descriptive approach, utilizing in-depth interviews with a functional licensing officer at the Department of Investment and One-Stop Integrated Services (DPMPTSP) of Samarinda City, supported by direct field observations. The findings reveal that the implementation of service ethics at the Samarinda MPP is guided by the principles outlined in Law No. 25 of 2009 on Public Services and the Minister of Administrative and Bureaucratic Reform Regulation No. 15 of 2014 concerning Service Standards. These regulations emphasize the values of integrity, professionalism, accountability, responsiveness, and inclusiveness in service delivery. Furthermore, effective coordination among service tenants, continuous improvement of employee competencies, and adaptation to digital systems such as the Online Single Submission (OSS) platform have contributed significantly to maintaining service quality. The study concludes that the consistent application of public service ethics enhances citizen satisfaction, strengthens public trust, and positively influences the image of government institutions in the community.  

Public Wi-Fi services (Wifi_STAKat) at the State Catholic College of Pontianak continue to face technical issues, such as network speed and connection stability, as well as non-technical challenges, including the responsiveness of administrators to user complaints. This study aims to analyze user satisfaction based on the five Servqual dimensions and to map improvement priorities using the Importance–Performance Analysis (IPA) method. The relationship between Servqual and IPA is explained by mapping GAP values (perception–expectation) into the four IPA quadrants to determine the urgency level of service improvements. A 4-point Likert scale was used to avoid neutral responses and strengthen the clarity of respondents’ perceptions. The results show that all dimensions have negative GAP scores, particularly responsiveness and reliability, which are directly related to technical indicators (speed, stability, coverage) and non-technical factors (responsiveness to complaints, ease of access. The study recommends integrating an IT-based monitoring system and increasing network capacity to improve service quality.

This study aims to analyze the implementation of educational marketing management in increasing the interest of new students at MTs Negeri 3 Bekasi City, with a focus on the application of the POAC management functions (Planning, Organizing, Actuating, Controlling). The study employs a descriptive qualitative approach using a case study design. Primary data were obtained through observation and in-depth interviews with the Madrasah Principal and the Vice Principal for Student Affairs, who serves as the Chair of the PMBM Committee, while secondary data were sourced from relevant journals and literature. The research results indicate that marketing planning was carried out systematically through the formation of the PMBM committee, academic, religious, and Quranic literacy selection processes, as well as the utilization of digital and print media. Organization involved all school components in a structured manner, while promotional activities highlighted students’ academic, non-academic, and moral achievements through social media and word of mouth. This strategy proved effective, as evidenced by the number of applicants far exceeding the admission quota. However, implementation still faces challenges related to funding, limited land availability, and public perceptions regarding the difficulty of the selection process, which are addressed through routine evaluations and collaboration with government agencies.

The rapid development of social media, particularly Twitter, has given rise to a new form of social violence known as cyberbullying. This study aims to explore the phenomenon of cyberbullying on Twitter using Ulrich Beck's Risk Society Theory as an analytical framework. The research approach used is a literature review. This study perceives cyberbullying on Twitter as a modern, systemic risk, shaped by anonymity, cancel culture, and the individualization of risk. It acknowledges that Twitter's structural features, such as pseudonymous accounts and the rapid dissemination of information, exacerbate the potential for cyberbullying, while simultaneously positioning individual users as both victims and potential perpetrators of digital violence. These findings reinforce Beck's thesis that risks in advanced modernity are self-produced, institutionally distributed, and difficult to regulate, clearly reflected in the uncontrolled spread of cyberbullying in digital public spaces.