Publication Search

This study aims to analyze the role of TikTok as a digital marketing tool in increasing the number of streams and musicians' income, with a case study of the viralization of the song "Mangu" by Fourtwnty. Using a qualitative approach with a case study method, this study explores the dynamics of the virality of music content on the TikTok platform and its impact on the digital music ecosystem. The results show that the virality of songs is not solely triggered by algorithms, but also by the power of emotional narratives, the relevance of lyrics to the user experience, and the active participation of the audience in the form of production. This phenomenon is driving cross-platform conversions, where TikTok users are switching to streaming services such as Spotify and YouTube, thereby increasing digital royalties and opening up live performance opportunities for musicians. Organic marketing strategies based on audience engagement have proven to be effective in creating broad and sustainable exposure, especially among the digital native generation. This research confirms that TikTok is not only an entertainment platform, but also a strategic medium in building music branding and monetizing works creatively. These findings provide important implications for independent musicians and the music industry in designing adaptive and participatory promotional strategies in an increasingly competitive digital economy.

Introduction: Experiential marketing has become a growing trend in promotional activities by emphasizing personalization and active customer involvement. Preliminary observations indicate a decline in outpatient visits among patients with general insurance and non-JKN coverage in 2023, which may be influenced by a decrease in their intention to use outpatient services. This condition highlights the need for hospitals to implement experiential marketing strategies to enhance patient interest and experience. Objective: This study aims to empirically examine the influence of patient experience and service perception on the intention to use outpatient services, with Strategic Experiential Modules (SEMs) as an intervening variable. Methods: This quantitative research employs a causal design involving outpatient service users as the population. A non-probability sampling technique was used, yielding 249 respondents. Data were collected using a questionnaire and analyzed using Structural Equation Modeling (SEM) with AMOS software. Results: The findings reveal that patient experience and service perception simultaneously have a significant positive influence on the intention to use outpatient services through SEMs. Service perception directly shows a significant positive effect on both SEMs and intention to use outpatient services, while SEMs also significantly enhance usage intention. Service perception emerges as the dominant variable in increasing SEMs and usage intention, whereas patient experience has the weakest effect. Conclusion: Patient experience and service perception collectively influence the intention to use outpatient services with SEMs as an intervening variable. Strengthening Customer Relationship Management is essential by improving human resources and optimizing service asset.

The study aims to evaluate the adoption of the Coretax system by government expenditure treasurers using the Technology Acceptance Model (TAM). We assesses the factors influencing users' attitudes and intentions toward using new technology. Primary data from local government public service agencies in Karanganyar and Wonogiri regencies are collected by using questionnaire, analyzed with linear regression and path analysis. Our analysis reveals that perceived usefulness and behavioral intention are scored high, indicating that the treasurers find Coretax beneficial and are strongly inclined to continue using it. However, perceived ease of use and attitude toward use showed moderate to high ratings, indicating room for improvement in terms of ease of use and user comfort. Regression analysis found that perceived ease of use significantly affects perceived usefulness, attitude toward use, and behavioral intention. However, perceived usefulness and attitude toward use did not significantly influence behavioral intention. The findings suggest that the ease of use of Coretax plays a more crucial role in shaping the treasurers' behavioral intentions than perceived usefulness or affective attitude. This study providing insights into key determinants affecting user intentions and offering empirical foundations for developing training policies, system design improvements, and implementation strategies tailored to the public sector's needs. The findings of this research are also expected to contribute to offer practical implications for strengthening national tax digitalization reforms.

The rapid development of information technology requires training institutions to adapt in order to provide services that are effective, efficient, and aligned with user needs. Don Bosco Sumba Vocational Training Center (BLK) as an institution focused on enhancing community skills faces challenges in providing a system that is easily accessible and usable by trainees, instructors, and administrators. This study aims to design and develop a web- and mobile-based application using the User-Centered Design (UCD) approach to produce a system that truly fits user needs and preferences. The UCD method was applied through several stages, including user and context identification, needs analysis, solution design, and iterative evaluation of the developed prototype. Data were collected through interviews, observations, and questionnaires administered to various users within Don Bosco Sumba BLK. The findings show that the implementation of the UCD method improved usability, streamlined administrative processes, and enhanced user satisfaction with the developed system. Therefore, the development of this UCD-based application not only supports the improvement of service quality but also strengthens the effectiveness of training management at Don Bosco Sumba BLK. The implications of this study highlight the importance of applying a user-centered approach in the development of information systems within the vocational training sector.

Digital transformation in the banking sector has introduced numerous conveniences in financial transactions, yet simultaneously opened opportunities for increasingly sophisticated and damaging new forms of crime. This article comprehensively analyzes criminal policy in combating digital banking crime in Indonesia, exploring the legal, technological, and institutional challenges faced, and formulating effective prevention strategies. Through systematic literature review and critical policy analysis, this research demonstrates that digital banking crime in Indonesia has experienced significant increases both in quantity and complexity of modus operandi, encompassing phishing, skimming, hacking, social engineering, banking trojan malware, and various technology-based fraud schemes. Financial losses amount to trillions of rupiah annually, excluding the psychological impact on victims and erosion of public trust in digital banking systems. Research findings identify fundamental challenges in combating digital banking crime, including limitations in legal frameworks that have not fully accommodated technological developments, gaps in law enforcement capacity for cyber investigation, complexity of evidence in digital cases, complicated cross-border jurisdiction, rapid evolution of crime modi outpacing regulatory adaptation, and low digital security literacy among banking service users. Policy analysis shows that penal approaches through criminalization and law enforcement, while important, are insufficient without comprehensive non-penal strategies.

In recent years, the Indonesian government has actively promoted digital transformation in public service delivery, including in rural and remote areas. However, digital adoption among communities in these regions remains inconsistent and often hindered by infrastructural and socio-cultural constraints. This study aims to assess the digital readiness of rural communities in adopting mobile-based public service information systems, with a specific focus on understanding the social and technological dynamics that shape their engagement. Employing a mixed methods approach with an explanatory sequential design, the research began with a structured survey involving 150-200 respondents per location, followed by in-depth interviews with key informants such as village officials, service operators, and local users. The quantitative data were analyzed using SPSS to identify general patterns in digital readiness based on the Technology Readiness Index and the Digital Readiness Framework, while qualitative insights were thematically analyzed using NVivo to uncover contextual factors. The findings reveal that while some respondents exhibit a moderate level of digital optimism, barriers such as unstable internet access, limited digital literacy, and fear of misusing technology significantly affect adoption rates. Furthermore, social support from family members emerged as a critical facilitator in overcoming these challenges. This study contributes to the discourse on inclusive digital transformation by highlighting the importance of integrating community-based support mechanisms into system design and policy planning. The implications suggest that successful digitalization efforts in rural areas must go beyond infrastructure development and address the social readiness of users through culturally sensitive and participatory approaches.

JakLingko is a digital-based public transportation integration system developed to facilitate access to various transportation modes in Jakarta. Along with the increasing number of users, reviews on the JakLingko application reflect user experiences and perceptions. This study aims to analyze the sentiment of user reviews on the Google Play Store using the Naïve Bayes method. Data collection was conducted through web scraping, resulting in 3,260 reviews. The data were preprocessed, sentiment-labeled, and classified using Orange Data Mining. The research applied a quantitative experimental approach with a machine learning framework. The classification results showed that neutral sentiment dominated user reviews, followed by negative and positive sentiments. The Naïve Bayes model achieved 100% accuracy based on the confusion matrix and other evaluation metrics such as precision, recall, and F1-score. The findings highlight that Naïve Bayes can be a reliable approach for analyzing public opinion and serve as a reference for evaluating and improving digital service applications.

A paradigm shift in public services has occurred rapidly due to the advent of digital technologies, which has led to the creation of more efficient, transparent and user-oriented systems. The study aims to examine how the quality of e-services, reputation, trust in e-services and electronic word of mouth affect user satisfaction with technology-enabled public services. A quantitative approach using multiple linear regression analysis is used to confirm the validity of the model. This method includes validity, reliability and classical assumptions testing. The results show that all four independent variables have a positive effect on user satisfaction both in general and individually. The quality of service, which encompasses factors such as ease of access, speed, system availability, and data security, has been demonstrated to enhance satisfaction. On the other hand, positive feedback and trust in the integrity and competence of the institution strengthen the relationship with users. Electronic word of mouth is crucial to create positive perceptions and attract consumers to services. The results show that to increase user satisfaction and loyalty in digital government services, the integration of these four elements is a key strategy.

In educational institutions, incoming and outgoing letters have important administrative and legal values ​​in educational operations. Therefore, the management of letter archives plays a strategic role in maintaining the smooth running of administrative activities and as a source of academic information for educational institutions. The formulation of the research problem is: (1) How is the validity of the Letter Archive SIM Based on Excel VBA User Form in improving the quality of administrative services at SDS Miftahul Falah Silo? (2) How is the practicality of the Letter Archive SIM Based on Excel VBA User Form in improving the quality of administrative services at SDS Miftahul Falah Silo? (3) How is the effectiveness of the Letter Archive SIM Based on Excel VBA User Form in improving the quality of administrative services at SDS Miftahul Falah Silo? This research was conducted at SDS Miftahul Falah Silo using the Research and Development (R&D) method of the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Product trials used internal and external trials involving validators and users. The data collected consisted of quantitative and qualitative data obtained through observation, interviews, documentation, and questionnaires. The results of the study indicate that (1) the system is highly feasible to use, as evidenced by the validity test results with an average value of 93.5%. (2) the practicality test results indicate the system is very practical with an average value of 91.6%. (3) based on the Wilcoxon signed rank test with a Z-value of -3.923 and a significance level of <0.001, and the N-Gain test results of 0.7254 indicate that the system is highly effective in improving the quality of administrative services.

This research aims to conduct an in-depth analysis of the administrative process for container Delivery Order (DO) handling implemented at Batu Ampar Port, Batam. The primary focus is to identify the procedural stages and evaluate the obstacles encountered during the DO issuance process. The Delivery Order is a crucial import document that serves as a transit permit, enabling service users to retrieve imported goods from the port area. The research methodology employs field research (field research) supported by a literature review (library research), allowing for the practical and thorough collection of operational data. The findings indicate that the administrative DO handling workflow commences with the receipt of documents from the shipping company representatives or service users, followed by the segregation of documents based on the company, recording the number of DOs, and culminates in the printing and validation of Form 2B, which serves as the official proof of cargo collection. This entire process demands close coordination among work units, particularly the administration and container depot sections. The study concludes that the effectiveness of DO management significantly impacts the smooth distribution of imported goods from the port. Common constraints frequently encountered include data inconsistency between the Bill of Lading and the received DO, as well as limitations in facilities and human resources within the administrative process. Recommended solutions include increasing supervision and refining the communication system between the applicant and the officials to ensure that the DO issuance process proceeds smoothly, promptly, and in compliance with established procedures.  

This study analyzes the role of millennials and Gen Z in driving the growth of halal e-commerce in Indonesia. The global halal industry is projected to reach US$3.36 trillion by 2028, underscoring the importance of strengthening halal e-commerce in Indonesia, which has the largest Muslim population in the world (Kawsar, 2025). Millennials and Gen Z are the dominant users of the internet and digital marketplaces, thus playing a strategic role in expanding the digital halal economic ecosystem. This study uses a qualitative approach with literature studies and in-depth interviews with consumers and halal digital business actors. The analysis focuses on digital behavior, halal product preferences, and awareness of sharia economic principles. The results show that millennials and Gen Z contribute through three main roles. First, as smart consumers who show high preference and loyalty to certified halal products. Second, as creative business actors who create sharia startups and marketplaces with innovative digital marketing strategies. Third, as agents of change who promote digital halal literacy and strengthen public awareness of the importance of halal products and services. In conclusion, the role of these two generations is not only in consumption, but also in creating a sustainable digital halal business ecosystem, strengthening Indonesia's competitiveness in the global halal industry, and supporting national sharia economic development.

This study aims to determine the effect of price discount (X1) and e-service quality (X2) on perceived value (Y) among Generation Z ShopeeFood users in Yogyakarta. This study used a quantitative approach with a sample of 60 Generation Z respondents aged 17-28 who had made a transaction on ShopeeFood in the past three months. Data were collected through an online questionnaire and analyzed using Structural Equation Modeling (SEM) with SmartPLS 4.0. The results of this study indicate that price discount has a positive and highly significant effect on perceived value, as evidenced by a strong path coefficient and a high t-statistic. E-service quality was also found to have a positive and significant effect on perceived value. Thus, both variables simultaneously significantly and strongly explain variation in perceived value, with the model demonstrating a good fit to the data. This study confirms that price discount strategies are a key driver in shaping perceived value among Generation Z consumers, and e-service quality also plays a crucial role in creating positive digital experiences. The practical implications of this study include recommendations for ShopeeFood managers to optimize discount strategies and continuously improve e-service quality to enhance consumer perceived value.

The development of the internet in Indonesia has opened up numerous opportunities, including in the field of online commerce. One widely used feature in online transactions is the "Paylater" system, as implemented by Shopee through its Shopee Paylater service. This feature allows users to purchase goods now and pay for them later, with relatively low interest rates. This study aims to examine the regulations and implementation of Shopee Paylater, as well as the legal protection available to consumers in cases of default or issues with the service. The study refers to the Indonesian Civil Code, Law No. 8 of 1999 on Consumer Protection, and the Financial Services Authority Regulation (POJK) No. 77/POJK.01/2016 on Information Technology-Based Lending Services. The research findings indicate that Shopee Paylater users are bound by a standard agreement with PT. Commerce Finance during the purchasing process. Shopee is responsible for protecting consumers in accordance with applicable regulations, but breaches related to network security can pose risks to consumers. In addition, while the service facilitates easier access to goods and services for users, it is crucial that consumers fully understand the terms and conditions of the service, including the consequences of late payments. The study also emphasizes the need for clearer and more comprehensive consumer protection regulations, especially in light of the rapid growth of digital financial services. This research highlights the importance of adequate legal protection for users of Paylater services to ensure their rights are safeguarded in the evolving digital economy.

The Emergency Severity Index (ESI) is a triage method that determines the escalation of treatment for patients based on the severity of their emergency condition. In order to improve the level of satisfaction of individuals receiving health services, it is necessary to provide quality services that are responsive to the expectations and needs of patients. This study aims to explore the relationship between the ESI (Emergency Severity Index) level and patient satisfaction in the Emergency Room of Pertamedika Ummi Rosnati Hospital. The research design applied is analytical with a cross-sectional method. From a total population of 500 patients in December, 51 respondents were selected using purposive sampling. The instruments used included the ESI (Emergency Severity Index) Questionnaire and CSQ-8 (Client Satisfaction Questionnaire), with univariate and bivariate data analysis using the Chi-Square test. The results showed that in the high ESI index category, most participants (37 people or 92.5%) expressed satisfaction with the services received, while 3 people (7.5%) were dissatisfied. In the moderate ESI group, 9 respondents (90.0%) reported satisfaction, while only 1 respondent (10.0%) reported dissatisfaction. Conversely, in the mild ESI level, there were no patients who were satisfied (0%), and one patient (20.0%) was dissatisfied. Through analysis using the Chi-Square statistical test, a ρ value of 0.009 (≤ 0.05) was obtained, indicating a significant relationship between ESI levels and patient satisfaction. Based on these findings, it can be concluded that there is a correlation between ESI classification and the level of satisfaction of service users in the Emergency Department. The researchers recommend that patients gain a better understanding of the ESI stages, and the Emergency Department is expected to provide education, such as putting up informative banners related to ESI (Emergency Severity Index) to increase patient understanding of the triage process in the Emergency Department.

This study aims to analyze the satisfaction level of Generation Z visitors at the Serang City Regional Library using Expectation Confirmation Theory (ECT). This theory explains that satisfaction is formed when the actual service meets or exceeds user expectations. The research employed a descriptive quantitative approach with a survey technique, involving 89 respondents aged 17–28 years, selected purposively. The data were collected using a questionnaire with a 1–4 Likert scale and analyzed univariately. The results show that the majority of Generation Z visitors are satisfied with the library services, with 85.4% expressing satisfaction, while 14.6% expressed dissatisfaction. The factors contributing the most to satisfaction were staff friendliness (58.4% reported being very satisfied), room comfort (59.6% reported being very satisfied), and the availability of basic facilities such as tables, chairs, and adequate lighting. However, dissatisfaction mainly stemmed from digital facilities. About 45% of respondents stated that the Wi-Fi connection was unstable, disrupting online information access. Additionally, 60% of respondents felt that the collection of the latest books was still limited, failing to meet the academic and current trends of Generation Z. These findings highlight the importance of improving digital services, enhancing internet network quality, and expanding the collection of up-to-date and popular books. Furthermore, staff competence in digital literacy needs to be enhanced to support the increasing digital needs of users. With these measures, the library is expected to not only maintain visitor satisfaction but also improve its relevance and loyalty in the digital era.

The rapid development of technology has greatly assisted human work in various fields, including education. One tangible outcome of technological progress is the availability of Microsoft Office applications, which consist of Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. Microsoft Word functions as a word processing software that allows users to create, edit, and format documents, while Microsoft Excel is used for managing numbers and data, and PowerPoint plays an important role in preparing engaging presentations. However, the teachers at SD Masehi Kadu Eta are not yet able to operate Microsoft Word, Excel, and PowerPoint optimally, as the school has never conducted any specific training. Therefore, this community service program focused on providing training on how to utilize Microsoft Office for teachers at SD Masehi Kadu Eta. The training aimed to improve teachers’ knowledge and skills in using information technology, particularly in operating Microsoft Word, Excel, and PowerPoint. Through this program, teachers gained not only new experiences but also basic skills that can support their daily tasks, such as preparing school administration documents, creating reports, and developing more systematic teaching materials. The results of the program showed that the training provided significant benefits. Teachers demonstrated strong enthusiasm, actively participated in every session, and showed improvement in their understanding of Microsoft Office applications. They also expressed their expectations for similar activities to be carried out regularly so that their skills could continue to improve and better equip them to face the ongoing development of information and communication technology in the future.

The company distinguishes itself from other retail stores through its unique approach, particularly in managing minimarkets by adhering to sharia principles in employee management. Ecommerce Reny Swalayan-ku merges traditional self-service elements with modern technology, positioning itself as a platform that facilitates the online purchase of daily necessities. The platform features user-friendly mobile applications and websites designed to streamline transactions, offering a variety of flexible payment options to enhance the shopping experience. Furthermore, goods are delivered using Reny Swalayan-ku own expedition service, with shipping costs calculated based on the distance from the customer's home to the minimarket. This research seeks to examine the impact of Service Quality, Discounts, and the Interactivity of Social Media Marketing on Shoppers’loyalty, with Online Trust serving as an intervening variable among users of Reny Swalayanku in Surabaya. An associative quantitative research methodology was employed, utilizing data gathered via questionnaires distributed to 94 respondents who are users of Reny Swalayan-ku Surabaya. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) through the SmartPLS software. The findings of the research suggest that Service Quality, Discounts, and the Interactivity of Social Media Marketing have a significant and positive impact on Online Trust. Additionally, Online Trust was determined to exert a positive and significant effect on Shoppers’loyalty. Moreover, both Discount and Social Media Marketing Interactivity directly and positively influence Shoppers’loyalty. In contrast, Service Quality does not demonstrate a significant direct impact on Shoppers’loyalty, indicating that its function may primarily serve as a foundation for establishing trust, which subsequently affects loyalty. These results highlight the critical role of fostering consumer trust through high-quality service, appealing discount promotions, and engaging social media interactions to enhance Shoppers’loyalty within the realm of retail e-commerce.

This community service program is designed to enhance the competence of English teachers at SMP N 33 Purworejo in utilizing Artificial Intelligence (AI)-based learning media, particularly deep learning technology. In the digital era, many teachers still face limitations in integrating intelligent technology into classroom activities, which affects the effectiveness of learning. The program was carried out in four stages: the provision of basic materials on AI and deep learning, technical training on the use of AI applications, practical development of learning media, and mentoring combined with evaluation. The results of this activity show an increase in teachers’ understanding and skills in operating AI tools, with each participant producing at least one AI-based learning media product. Through workshops, teachers learned to use applications such as chatbots, speech-to-text, text-to-speech, and AI-assisted language tools to enrich students’ learning experiences. In addition, teachers were guided to design contextual media tailored to curriculum goals and student needs. Mentoring ensured that the products created were tested, improved, and ready to be applied in the classroom. The novelty of this activity lies in its focus on practical implementation of deep learning in junior high school English teaching, positioning teachers not only as users but also as creators of innovative media. Beyond technical competence, this program fosters collaboration among teachers to sustain innovation. In the long term, the outcomes are expected to improve students’ engagement, motivation, and communication skills, and contribute to the establishment of a digital learning ecosystem that supports interactive, effective, and future-oriented education.

The waste detection application is a solution to identify and classify waste. With the increasing waste problem, this application aims to assist in classifying waste into organic, inorganic, and unknown categories. This research implements a waste detection application that runs on smartphones with the Android operating system. The application is the result of a capstone project from the Bangkit program in the MSIB batch 6. The development of this application is divided into several parts, namely backend, frontend, and deployment. The author focuses on the deployment process of the application using Google Cloud Platform. The Google Cloud Platform infrastructure was chosen due to its scalability and flexibility. The services utilized include Google Compute Engine (GCE), Google Virtual Private Cloud (VPC), and Google Cloud Storage (GCS). The deployment process involves creating a new project in Google Cloud, configuring virtual machines, and setting up Google Cloud Storage. The server VM configuration includes the installation of SQL Server (MariaDB), deployment of the Machine Learning API, and Backend API. Testing was carried out on the Machine Learning API using Postman and the Backend API through a browser. The results show that Google Cloud Platform can be implemented as a cloud computing infrastructure for waste detection applications. The Machine Learning API is able to read objects in the form of images sent by users.

This community service program is designed to enhance the competence of English teachers at SMP N 33 Purworejo in utilizing Artificial Intelligence (AI)-based learning media, particularly deep learning technology. In the digital era, many teachers still face limitations in integrating intelligent technology into classroom activities, which affects the effectiveness of learning. The program was carried out in four stages: the provision of basic materials on AI and deep learning, technical training on the use of AI applications, practical development of learning media, and mentoring combined with evaluation. The results of this activity show an increase in teachers’ understanding and skills in operating AI tools, with each participant producing at least one AI-based learning media product. Through workshops, teachers learned to use applications such as chatbots, speech-to-text, text-to-speech, and AI-assisted language tools to enrich students’ learning experiences. In addition, teachers were guided to design contextual media tailored to curriculum goals and student needs. Mentoring ensured that the products created were tested, improved, and ready to be applied in the classroom. The novelty of this activity lies in its focus on practical implementation of deep learning in junior high school English teaching, positioning teachers not only as users but also as creators of innovative media. Beyond technical competence, this program fosters collaboration among teachers to sustain innovation. In the long term, the outcomes are expected to improve students’ engagement, motivation, and communication skills, and contribute to the establishment of a digital learning ecosystem that supports interactive, effective, and future-oriented education.