Publication Search

Digital media is currently the main key to public communication to convey aspirations in government policies. Medan is also one of the major cities in Indonesia that is striving to realize the concept of a smart city through digital media. The role of digital media is very important in realizing a smart city. This study aims to analyze how digital media plays a role in uniting the views of the community and the Medan city government in the effort to realize a smart city in Medan. The method used in this study is a qualitative descriptive approach with a library research approach and observation of digital communication activities, online news, and public statements from the government to the public in Medan. In realizing a smart city, optimizing digital communication is essential to strengthen the synergy between the community and the government. The results of the study indicate that digital media plays a crucial role as a means of two-way communication, information dissemination, and as a medium for public participation. However, challenges such as weak digital literacy and limited infrastructure are obstacles to the sustainability of this effort.

The rapid development of generative Artificial Intelligence (AI) technology offers significant efficiency opportunities across various sectors; however, empirical research within the local Indonesian context, particularly in Batam City, remains scarce. This exploratory study aims to analyze the influence of positive perception, negative perception, and AI regulation understanding on technology adoption trends, as well as productivity and product innovation opportunities among creative industry players. The creative industry is a focal point due to the inherent tension between technological efficiency and the preservation of human originality in the creative process. This research employs a quantitative causal approach, utilizing a sample of 30 respondents reached through snowball sampling techniques. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. The findings reveal that only positive perception has a significant direct impact on product innovation (p=0.004), while AI regulation and technical adoption do not show significant effects. This suggests that a positive technology mindset is a more decisive factor for innovation than technical mastery or current regulatory compliance. These results underscore the urgent need for local government socialization of AI policies and enhanced digital literacy for Batam's creative practitioners to transform them from mere users into strategic AI-driven innovators.

This study focuses on analyzing the application of cloud computing as a supporting infrastructure for digital transformation in the implementation of Smart City at the Communication and Information Agency (Diskominfo) of Muara Enim Regency. In the era of digital transformation and accelerated urbanization, the need for smart city management based on information technology has become increasingly urgent. Cloud computing plays a strategic role in providing integrated, scalable, and efficient data services to support the effectiveness of public services and data-driven decision-making. This study aims to analyze the extent to which cloud computing has been implemented in the Muara Enim Diskominfo environment, identify the supporting and inhibiting factors of its implementation, and evaluate its contribution to the achievement of Smart City objectives. This study uses a comparative approach with data collection techniques through interviews, observation, and documentation studies. The results of the study show that the implementation of cloud computing at the Muara Enim Communication and Information Agency is still in the development stage, with positive achievements in data management efficiency and inter-unit collaboration, but facing obstacles in terms of system integration and human resources. This research contributes to strengthening academic understanding of cloud computing implementation strategies in the context of local government, as well as providing practical recommendations for policy makers to improve digital infrastructure readiness towards a sustainable Smart City.

Smart cities are increasingly leveraging advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data Analytics to optimize urban management and improve the quality of life for citizens. However, managing vast and diverse datasets from numerous sources in real-time presents several challenges. This research proposes a modular framework that integrates distributed data processing engines with container-based workflow orchestration to address scalability, latency, adaptability, and fault tolerance in smart city data analytics. The framework utilizes cloud native technologies, including Apache Spark and Kubernetes, to efficiently manage resources and ensure high availability. The experimental setup tested the framework’s ability to handle dynamic data loads, demonstrating scalability through real-time resource allocation and low-latency processing. The adaptability of the framework was evident in its seamless integration with various data sources, such as environmental sensors and traffic management systems, which require different processing methods. Additionally, the framework’s modularity provided fault tolerance, enabling continued operation even if individual components failed, a crucial feature for mission-critical applications in smart cities. Compared to traditional monolithic systems, the proposed framework outperformed in flexibility, scalability, and performance, offering significant improvements in handling real-time data streams. Despite these advantages, challenges remain, particularly in integrating heterogeneous data formats and optimizing real-time processing for high-priority applications. The research highlights the importance of scalable data analytics and efficient workflow orchestration for the future of smart city platforms, offering a foundation for the development of more resilient, adaptable, and efficient cloud native infrastructures.

The work of health workers is a key factor in ensuring the quality and sustainability of primary health services. However, high work demands and limited resources have the potential to weaken work involvement if they are not balanced with a perception of work meaning and adequate psychological capacity. This study aims to analyze the effect of job meaningfulness on work engagement of health workers through psychological capital as a mediating variable at the Mokoau Health Center, Kendari City, Southeast Sulawesi. This study used a quantitative approach with a cross-sectional design. All health workers at the Mokoau Health Center as many as 70 people were used as research samples using the total sampling method. Data was collected through a structured questionnaire and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with the help of SmartPLS version 4.0. The results of the analysis showed that job meaningfulness had a positive and significant effect on psychological capital (β = 0.698; p < 0.05). Psychological capital was also shown to have a positive and significant effect on work engagement (β = 0.691; p < 0.05). Furthermore, job meaningfulness had a significant indirect effect on work engagement through psychological capital (β = 0.482; p < 0.05), which shows the mediating role of psychological capital in the relationship. Job meaningfulness not only contributes directly to strengthening psychological capital, but also indirectly increases work engagement of health workers. Psychological capital plays a role as the main psychological mechanism that translates the meaning of work into higher work attachment. These findings affirm the importance of a human resource management strategy that focuses on strengthening the meaning of work and psychological capital to increase the work involvement of health workers in primary health care facilities.

WPS Office stands for Writer, Presentation, and Spreadsheets—a software suite offering diverse office functions, including document processing, spreadsheet creation, and presentation tools. This study analyzes user satisfaction levels and the influence of the variables Content, Accuracy, Format, Ease of Use, and Timeliness on WPS Office application users in Jambi City, using the End User Computing Satisfaction method. Data were gathered through an online questionnaire distributed to students in Jambi City who had used the application; created via Google Forms, it garnered 385 responses. Post-collection, analysis was conducted using Structural Equation Modeling in SmartPLS software version 4. Of the five hypotheses tested, four were accepted. The results reveal that accuracy, format, ease of use, and timeliness positively and significantly influence user satisfaction, while content shows no significant effect.

The production sector at both the district and city levels is crucial for fostering structural change and boosting economic growth in specific areas. Still, many regions struggle with issues such as linking supply chains, readiness for technology, quality of labor, and efficient policies. This research intends to examine the strategies of the manufacturing sector at the district and city levels to enhance regional competitiveness and promote sustainable economic growth. The study utilizes a descriptive qualitative method based on a review of literature from academic journals, policy papers, and official statistics related to manufacturing progress. Results reveal that several important factors strongly affect regional manufacturing growth. These include the connection of local supply chains, industry strategies focused on the market, the implementation of digital and smart manufacturing methods, innovation encouraged by educational institutions and organizations, and the influence of local governments in developing an effective industrial policy atmosphere. Furthermore, creating designated industrial areas and managing operations efficiently significantly helps attract investments and boost the manufacturing output of regions. The research concludes that a cohesive and tailored manufacturing strategy for each region is vital for improving local productivity, generating jobs, and enhancing economic stability at both district and city scales.

This study aims to analyze the factors influencing Wizzmie customer purchasing decision model in Semarang City: shopping experience involvement as a mediating variable. This study is a type of quantitative research with primary data sources in the form of questionnaires. The sampling method in this study uses the Hair formula which obtained 140 research samples. The analyzed data used in this study is the Structural Equation Model (SEM) with Smart PLS 3.0 software. The results of this study state that store atmosphere and shopping experience have a positive and significant effect on purchasing decisions. Conversely, brand image, social media marketing, and service quality do not have a significant direct effect on purchasing decisions. However, shopping experience is proven to be able to mediate the influence of store atmosphere, social media marketing, and service quality on purchasing decisions. Thus, although not all variables have a direct effect on purchasing decisions, some of them can indirectly influence through shopping experience as a mediating variable.

The implementation of the One-Stop Integrated Service (PTSP) Website at the Ministry of Religious Affairs of Jambi City is part of the digital transformation of public services. This study aims to measure user satisfaction with the PTSP Website using the End User Computing Satisfaction (EUCS) method and the DeLone & McLean model. This research employed a quantitative approach using a survey method involving 100 respondents who are users of the PTSP Website. The EUCS variables consist of content, accuracy, format, ease of use, and timeliness, while the DeLone & McLean model includes system quality, information quality, and service quality. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 software. The results indicate that system quality, information quality, and service quality have a positive effect on user satisfaction with the PTSP Website. This study is expected to serve as an evaluation reference for improving the quality of digital public services.

The development of digital technology has led to an increase in the use of short video-based entertainment applications, including the Melolo application. However, the free version still has various complaints, such as inconsistent subtitles, unintuitive navigation, force close glitches, and unstable advertisements, so user satisfaction analysis is needed. This study aims to measure the level of satisfaction of users of the free version of the Melolo application using the End User Computing Satisfaction (EUCS) method, which covers five variables, namely content, accuracy, format, ease of use, and timeliness. Data was collected through an online questionnaire of 385 Melolo app users in Jambi City and analyzed using Structural Equation Modeling (SEM) with the help of SmartPLS 4. The results showed an R-Square value of 0.546, indicating that the model was able to explain 54.6% of the changes in user satisfaction levels. The variables of content and timeliness were found to have a significant effect on user satisfaction, while accuracy, format, and ease of use had no significant effect. These results indicate that content quality and system timeliness are the main factors in increasing user satisfaction. Therefore, Melolo app developers are advised to maintain content quality and improve system performance and stability to optimize the user experience.

Traffic congestion is a persistent challenge in urban areas in Indonesia, where increasing vehicle density creates the need for intelligent traffic monitoring systems. This study aims to develop a real-time vehicle parking system using the YOLOv8 object detection model to provide efficient traffic analysis from live CCTV broadcasts and recorded videos. This study uses a quantitative experimental approach with the implementation of the YOLOv8m model using the Ultralytics library in Python, tested on data collected from CCTV cameras A TCS Dishub Medan and additional footage from mobile devices. Vehicles are detected and counted in two directions up (Up) and down (Down) using virtual detection lines on the video frame. The system performance is evaluated by automatic detection counting with manually recorded ground truth data. The results show that on live CCTV broadcasts, the YOLOv8m model achieves an average precision of 98.96%, a recall of 96.59%, and an F1 score of 97.74% for upstream traffic, while for downstream traffic it achieves 100% precision, 95.64% recall, and an F1 score of 97.730/0. On the other hand, on high-quality recorded videos, all performance metrics achieve 100%, indicating perfect detection accuracy. These findings confirm the effectiveness of YOLOv8 in real-time traffic monitoring, but also indicate that video quality and stream stability affect detection performance. In conclusion, the developed system shows strong potential to support smart city traffic management solutions. Future research should focus on performance optimization under low-resolution live streaming conditions to improve accuracy in practical applications.  

The skincare industry in Indonesia is experiencing rapid growth, primarily driven by the significant development of e-commerce and increased consumer awareness of self-care. This surge has resulted in intense competition among brands. This comparative study aims to analyze the role of trust as a mediating variable that connects price fairness, celebrity endorsements, and e-WOM to repurchase intentions for two brands: Somethinc (a science-based brand) and Wardah (a halal-based brand). A quantitative research method was used, involving a survey with a 5-point Likert scale distributed to 150 millennials and Gen Z respondents in Semarang City. The data were analyzed using PLS-SEM (SmartPLS). The findings reveal that both celebrity endorsements and trust have a significant impact on repurchase intentions for both brands. In contrast, price fairness and e-WOM do not have a significant direct effect on either brand. However, the study shows that trust effectively mediates the influence of price fairness, celebrity endorsements, and e-WOM on repurchase intentions. This underscores the vital role of trust in enhancing customer loyalty to Somethinc and Wardah. These findings suggest that strengthening brand trust in skincare products can significantly boost customer loyalty.

This study aims to analyze the influence of brand image, word of mouth, and product quality on the purchase decision of Facetology skincare products. The study uses a quantitative method to obtain objective and generalizable results. The sample consisted of 100 respondents, who were individuals who had purchased or used Facetology skincare products. The sampling technique used was purposive sampling, ensuring that the selected respondents met criteria relevant to the research objectives. Data collection was conducted through the distribution of questionnaires to the selected respondents to gather the necessary information. The data analysis technique employed was Smart PLS 4.0, which efficiently and accurately measures the relationships between variables. This study emphasizes the importance of understanding the factors influencing purchase decisions in the skincare industry, particularly for the Facetology brand. The results of the study indicate that word of mouth has a positive and significant effect on the purchase decision of Facetology products. Additionally, brand image was found to have no significant effect on the purchase decision, while product quality had a positive and significant effect on the purchase decision of Facetology products. The implications of this study suggest that the company can leverage word of mouth as an effective marketing strategy and focus more on improving product quality to influence consumer purchase decisions.

The development of video streaming services has made DramaBox widely used by Generation Z, who prioritize fast entertainment access through mobile devices. However, complaints such as long ad duration, unstable video quality, and inaccurate subtitles remain obstacles that can reduce user satisfaction. This study analyzes the factors that influence DramaBox user satisfaction in Jambi City using the End User Computing Satisfaction (EUCS) method with five main dimensions: content, accuracy, format, ease of use, and timeliness. Data were obtained through questionnaires completed by 385 respondents and processed using SEM-PLS with the help of SmartPLS 4. The results showed that accuracy and timeliness significantly influence user satisfaction, while content, format, and ease of use did not have a significant impact. This finding indicates that information reliability and system speed are the most determining aspects of user experience. Therefore, improvements in both aspects are important for the future development of the DramaBox application.

The development of smart cities has become a strategic priority for local governments seeking to enhance citizens’ quality of life, strengthen sustainable development, and improve public space management. Kambang Iwak Park in Palembang represents one of the city’s major urban green spaces that has undergone significant revitalization and serves as a case study for smart city implementation in public areas. This study analyzes the application of Cohen’s six smart city dimensions—Smart People, Smart Living, Smart Government, Smart Economy, Smart Mobility, and Smart Environment—and their relationship with Carmona’s six urban design dimensions. This qualitative–descriptive research utilizes visual observations, historical data, and facility documentation extracted from the provided presentation. The findings indicate that Kambang Iwak Park effectively integrates several smart city dimensions, particularly Smart Living, Smart Environment, and Smart Mobility. Nonetheless, issues such as irregular parking, insufficient smart services, and poorly organized street vendors remain challenges. The study concludes that integrating smart city principles with urban design concepts enhances public space quality and supports sustainable urban development in Palembang.

The personal care product industry, particularly bath soap, is becoming increasingly competitive as public awareness of health and hygiene grows. Lifebuoy is a long-trusted bath soap brand, but according to data from the Top Brand Index 2021–2024, Lifebuoy is experiencing a significant downward trend. This situation indicates a problem in consumer purchasing decisions, making it crucial to examine the factors influencing it. This study aims to analyze the influence of advertising and brand image on purchasing decisions for Lifebuoy bath soap in Semarang City, with purchase intention as an intervening variable. This study used a quantitative approach with explanatory research. The population in this study was all Lifebuoy bath soap users in Semarang City. The sample was determined using a non-probability sampling method using the Lemeshow formula, resulting in 96 respondents. Data analysis techniques used Descriptive Statistical Analysis, Measurement Model Evaluation (Outer Model), and Structural Model Evaluation (Inner Model) using the SmartPLS 0.4 application. The results of the study indicate that advertising has a direct influence on purchasing decisions, brand image has a positive and significant influence on purchasing decisions, advertising does not have a significant direct influence on purchase intention, brand image has a positive and significant influence on purchase intention, purchase intention has a positive and significant influence on purchase decisions, purchase intention mediates the relationship between advertising and purchase decisions, and purchase intention mediates the relationship between brand image and purchase decisions.

This study aims to describe and analyze the influence of the online attendance application (Sisensi) on employee productivity through employee discipline in the production division of Perumda Air Minum Tirta Mayang, Jambi City. The method used is quantitative analysis with a population of employees and a sample of 94 respondents. Data were collected using a Likert scale–based questionnaire, and the analysis was conducted using the Structural Equation Modeling (SEM) technique based on Partial Least Squares (PLS) with the aid of SmartPLS 4 software. The results of the study show that: (1) the online attendance application has a positive and significant effect on employee productivity, (2) the online attendance application has a positive and significant effect on employee discipline, (3) employee discipline has a positive and significant effect on employee productivity, and (4) employee discipline is able to mediate the effect of the online attendance application on employee productivity. The recommendations derived from this study are as follows: For the employee productivity variable, it is suggested that the company provide relevant and continuous training, establish clear and easily understood Standard Operating Procedures (SOP), and conduct regular mentoring and evaluations to increase the amount of work that employees can complete. For the online attendance application variable, the company is advised to enhance the practicality and ease of use of the application, enabling employees to better understand and utilize the system. For the employee discipline variable, the company should conduct regular socialization sessions regarding the proper use of facilities and resources according to established standards to prevent damage, excessive use, and misuse.    

This study aims to analyze the influence of policy effectiveness and efficiency on public trust and the use of the Trans Siginjai public transportation system in Jambi City. The research background stems from the low public interest in using Trans Siginjai services since its operation in 2017, as reflected in the relatively small number of daily passengers. This research employs a quantitative method with an explanatory approach. Primary data were collected through a Likert-scale questionnaire distributed to 100 respondents determined using the Slovin formula, while secondary data were obtained from official documents and local media publications. Data were analyzed using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method with the assistance of SmartPLS 4 software. The results show that both effectiveness and efficiency have a positive and significant effect on public trust, while trust significantly influences the level of Trans Siginjai usage. These findings emphasize that the success of public transportation policy depends not only on operational efficiency but also on the government’s ability to build public trust through consistent and high-quality service delivery.

This research seeks to examine the partnership between government and community in enhancing digital administrative services in Ketegan Village, Taman District, Sidoarjo Regency. The research context centers on the local government's attempts to advance digital public service transformation, which encounter obstacles like low digital literacy, insufficient infrastructure, and poor collaborative governance at the village level. The study utilized a qualitative strategy featuring a case study technique, gathering data via in-depth interviews, participatory observation, Focus Group Discussions (FGDs), and reviews of policy documents related to Sidoarjo’s Smart City initiative. The results show that although digital infrastructure and institutional dedication are in place, execution is still obstructed by restricted technological capability, unreliable internet access, and poor public digital literacy. Collaboration between the government and community is starting to develop through local projects, but it remains informal and does not have a sustainable coordination structure. The research suggests improving the digital skills of officials and citizens, creating organized digital collaboration platforms in villages, and adopting participatory assessment methods to guarantee an inclusive and flexible digital transformation. These results are anticipated to act as a guide for local authorities in enhancing governance of digital-based public services.

This study aims to identidy and examine how people’s views on product quality and brand image affect their decision to buy Shell fuel in Surabaya City. The study fecoses on three key areas: first, how both product quality perception and brand image together influence purchase decisions; second, how product quality perception alone impacts purchase decisions; and third, how brand image alone affects purchase decisions. The group of people studied are those who buy and use Shell fuel in Surabaya. To select participants, a non-probability sampling method was used, with the criteria that respondents must be at least 17 years old, live in Surabaya, and have purchased Shell fuel. After distributing questionnaires, 100 people met these criteria. The data was analyzed using Partial Least Squares-Structural Equation Modelling (PLS-SEM) with SmartPLS 3.0 software. The findings show that both product quality perception and brand image together have a significant effect on purchase decisions. Individually, product quality perception has a positive and significant impact on purchase decisions, and brand image also shows a positive and significant effect. These results suggest that improving product quality and enhancing brand image can help Shell increase consumer purchase decisions in Surabaya.