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.
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.
This study examines the importance of an efficient digital marketing strategy, particularly through Instagram, to increase public understanding of sports and recreation facility brands like Pondok Cabe Golf, especially amidst increasingly fierce competition in the digital world. The purpose of this study is to evaluate the digital marketing strategy implemented by Pondok Cabe Golf on Instagram to increase brand recognition among the wider public. A descriptive qualitative approach was used, with data collected through in-depth interviews with internal marketing and public relations teams, as well as external followers. Additionally, focus group discussions, observations, and non-participant documentation collection were conducted to supplement the analysis. The results reveal that Pondok Cabe Golf has successfully implemented a digital marketing strategy that aligns with the Marketing 4.0 concept and the 5A customer journey (Aware, Appeal, Ask, Act, Advocate). This strategy involves the use of consistent visual content, engaging user interactions, and focused promotions, which have significantly increased brand awareness and built positive relationships with the audience. The findings highlight the effectiveness of Instagram as a platform for building brand recognition and community engagement. This research offers valuable insights and practical recommendations for improving digital marketing efforts in the recreation sector, particularly for businesses looking to enhance their presence in the competitive digital landscape.
The misuse of social media in Indonesia has become an increasingly concerning issue, particularly among teenagers and university students who lack awareness of the legal consequences of digital activities. Students at Universitas Teknologi Mataram (UTM), as active social media users, are vulnerable to committing violations, whether consciously or unconsciously, due to limited understanding of the Information and Electronic Transactions Law (UU ITE). To address this, digital law literacy is necessary to help students become more aware of existing legal boundaries and to encourage them to use social media as a positive tool for self-development and academic purposes. This community service program was designed to provide digital law education as a preventive measure against social media misuse among students. The methods employed included interactive socialization through lectures, discussions, case studies, and the distribution of legal literacy materials such as leaflets and infographics. The results showed an improvement in students’ understanding of the importance of ethics, legal compliance, and the risks of digital misconduct, including hate speech, hoax dissemination, and other online violations. The program also introduced the latest provisions of Law No. 1 of 2024 concerning the amendment of Law No. 11 of 2008 on Information and Electronic Transactions (UU ITE). Overall, this activity highlights the importance of continuous digital law education to encourage UTM students to be wiser, more critical, and responsible in their use of social media.
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This study aims to analyze the effect of promotional strategies on consumer purchasing decisions for Freedom Street Wear products on the Shopee platform. The research population consists of Shopee users who have purchased products from official stores. A quantitative approach using a survey method was applied, and data was collected from 100 respondents selected through non-probability sampling. Multiple linear regression analysis was used to test the influence of each variable, both partially and simultaneously. The findings show that Double Date Discount has a positive and significant effect on purchasing decisions. Meanwhile, Free Shipping and Cash on Delivery (COD) did not have a significant effect, although COD showed a positive trend. Simultaneously, these three variables were found to have a significant effect on consumer purchasing decisions. In addition to examining the individual effects of promotional strategies, this study also explored the interactive relationships between the variables. It was found that while Free Shipping and COD did not individually influence purchasing decisions, their combination with other promotional strategies like Double Date Discount enhanced the overall effectiveness of the promotions. This suggests that promotional strategies should be strategically integrated to maximize their impact on consumer behavior. Furthermore, the study highlights the growing importance of e-commerce platforms like Shopee in influencing purchasing decisions and shaping consumer perceptions. As online shopping continues to grow, understanding the nuances of promotional strategies is essential for businesses aiming to attract and retain customers in a competitive market. The findings contribute to a deeper understanding of the factors driving consumer purchasing decisions and offer valuable insights for businesses looking to optimize their promotional efforts in the online retail environment.
This Community Partnership Program (PKM) was implemented to enhance the capacity of Micro, Small, and Medium Enterprises (MSMEs) in Balang Baru Subdistrict, Tamalate District, Makassar City, particularly in financial management. The main problems faced by local MSME actors include low financial literacy and the absence of systematic and sustainable financial recording practices, which hinder optimal business performance evaluation. Through this program, a team from Universitas Negeri Makassar designed and carried out training and mentoring activities focused on the use of digital financial recording systems that are user-friendly for MSME actors. The activities included the preparation of training materials on basic financial management, hands-on practice in preparing simple financial statements, the use of digital bookkeeping applications, and an evaluation of their implementation. The training was conducted intensively over three days using interactive and practical methods. The results showed a significant improvement in participants’ understanding and skills in managing business finances, recording transactions in an organized manner, and preparing financial reports that could be used for basic business analysis. Moreover, the program encouraged MSME actors to become more independent in making data-driven business decisions. This initiative is expected to have a long-term impact in promoting professionalism among MSMEs and serve as a replicable model for community empowerment through improved financial literacy.
This systematic literature review examines the philosophy of science approaches to user security in distributed devices, such as IoT and Federated Learning. The review was conducted in response to the exponential growth of connected devices and the increasing security threats, including cyberattacks, data breaches, and unauthorized access. As distributed systems become more complex, traditional security approaches, such as cryptography and differential privacy, are often insufficient to address the ethical, philosophical, and contextual challenges that arise in these ecosystems. Distributed devices, especially in IoT and Federated Learning contexts, rely on vast amounts of personal data. This data, often stored or processed in decentralized environments, creates significant risks to user privacy and system integrity. As the number of connected devices grows, security risks multiply, creating challenges in maintaining user trust, privacy, and overall system resilience. Conventional techniques, such as encryption, only focus on technical aspects, often neglecting the deeper philosophical dimensions, such as the nature of knowledge, privacy, and fairness in these systems. These gaps highlight the need for a more nuanced approach that incorporates philosophical perspectives into security frameworks. This study uses a systematic literature review method based on the PICOC (Population, Intervention, Comparison, Outcome, Context) framework to analyze the relevance of epistemology, ontology, and ethics in strengthening system security. By examining the foundational principles of how knowledge is constructed (epistemology), what entities exist in the system (ontology), and the ethical considerations around data and user privacy (ethics), the review provides a comprehensive understanding of how philosophical concepts can be integrated into the design and implementation of security systems in distributed environments. The results reveal that epistemological principles, such as the verification and validation of data sources and models, can significantly improve the reliability and trustworthiness of distributed systems.
The rapid growth of e-commerce platforms has significantly transformed the way consumers share and access product feedback. One of the widely used platforms in Indonesia is Shopee, where customers actively provide reviews of various products, including local skincare brands such as Kahf facial wash. Customer reviews on e-commerce platforms contain valuable information that can be analyzed to understand consumer opinions and preferences. Sentiment analysis, as a branch of natural language processing, enables the classification of textual data into categories such as positive, negative, or neutral. This study aims to classify Shopee user sentiments regarding Kahf facial wash products by implementing the Multinomial Naïve Bayes algorithm, a well-known probabilistic classifier suitable for text categorization. The research methodology consisted of several preprocessing stages, including data cleansing, case folding, tokenizing, stopword removal, and stemming, to prepare raw review texts for further analysis. For feature representation, the Term Frequency–Inverse Document Frequency (TF-IDF) method was applied to capture the importance of words across documents. To evaluate the classification performance, K-Fold cross-validation was employed with K values of 4, 5, 6, and 10 to ensure model reliability and robustness. Considering the issue of imbalanced datasets in user-generated reviews, the Synthetic Minority Over-sampling Technique (SMOTE) was utilized to balance the distribution of sentiment classes. Based on the confusion matrix, the Multinomial Naïve Bayes algorithm demonstrated effective performance in classifying sentiments, achieving satisfactory levels of accuracy, precision, and recall across different folds. These results indicate that the algorithm is capable of handling sentiment analysis tasks for local product reviews effectively. The findings of this study are expected to provide meaningful insights for businesses in understanding consumer perceptions, thereby supporting decision-making processes in product development, marketing strategies, and customer engagement for local brands.
The increasing number of mental health disorders in various countries has created an urgent need for innovation in the diagnosis and treatment process. This problem not only impacts individuals' quality of life but also creates a significant social and economic burden. One solution that is beginning to be widely researched is the use of artificial intelligence (AI) in the field of mental health. This research used a literature review of various previous studies discussing the role, application, and impact of AI. The results of the review indicate that AI technology, particularly in the form of digital applications such as chatbots, has great potential to support the recovery process for patients with mental disorders. AI-based chatbots can provide responsive, two-way interactions, so users feel heard and receive initial emotional support. One technical approach used is Natural Language Processing (NLP), which enables the system to understand natural human language. Simultaneously, Long Short-Term Memory (LSTM) algorithms are used to analyze language patterns and detect symptoms of depression more accurately. Various studies have reported that the application of NLP and LSTM can improve the reliability of diagnoses and provide responses tailored to user needs. Furthermore, AI can provide personalized recommendations, tailor interventions to the user's condition, and monitor mental health developments in real time. This has the potential to assist mental health practitioners in making faster and more informed decisions. However, the adoption of AI among practitioners remains relatively low. Influencing factors include limited technological understanding, limited infrastructure, and debates over ethical aspects and data privacy. Therefore, while AI has significant potential to improve the quality of mental health services, regulations, ethical guidelines, and synergy between technology and healthcare professionals are needed to ensure safe and effective implementation.
This study aims to determine the perceptions of library users towards the multicultural literacy program at the Sibolga City Public Library, as a response to the importance of literacy in building an inclusive society amidst cultural diversity. The method used is descriptive quantitative with a survey technique through a questionnaire to 73 active library users. The research instrument includes 15 statements on the independent variable (multicultural literacy program) based on James A. Banks' theory, and 10 statements on the dependent variable (librarian perception) based on the Ruch and Zimbardo framework. The results of the analysis show that library users' perceptions of the program are in the good category, with an average score of 40.23 out of a maximum of 50, and a standard deviation of 2.89, which indicates the consistency of respondents' responses. For the multicultural literacy program variable, an average score of 60.9 out of a maximum of 75, and a standard deviation of 3.68, is obtained. This indicates that library users feel that this program is very useful in increasing their understanding of cultural diversity. More than 78% of respondents agreed or strongly agreed that the program helped them understand other cultures, think critically about stereotypes, and feel proud of their own cultural identities. Furthermore, 54.79% of respondents expressed their willingness to promote the program to the surrounding community. These findings confirm that the Sibolga City Public Library has successfully fulfilled its role as an inclusive literacy space. The multicultural literacy program not only helps users improve their understanding of culture but also strengthens social cohesion and strengthens intercultural relationships. With this program, the library has functioned as an important agent of social change in creating a more inclusive and tolerant society. It is hoped that this program will continue to develop and be implemented more widely.
This study aims to explore how users' perceptions of the chatbot on the Shopee platform influence user satisfaction and loyalty. The research employs a qualitative approach with in-depth interviews to gather users' experiences and views on their interactions with the chatbot. The findings reveal that three key factors—clarity of responses, ease of access, and relevance of information—are crucial in determining user satisfaction. Users who found the chatbot's responses clear and easily understood, along with quick access, were generally more satisfied with the service provided. However, despite achieving user satisfaction, loyalty to the platform has not been fully established. This is due to the chatbot's limitations in building emotional connections with users and its inability to handle more complex issues. While the chatbot is effective in providing automated solutions for simple problems, it lacks the empathy and personalized attention necessary when users encounter more intricate issues or require a deeper level of interaction. These findings highlight that although chatbots can enhance the efficiency of basic customer service, they cannot fully replace human interaction, particularly in customer service contexts that require emotional engagement and a deeper understanding of the user's needs. To foster stronger user loyalty, a combined approach involving both technology and human interaction is essential. The chatbot can address routine issues, while more complex matters should be referred to customer service representatives who can offer empathetic and tailored solutions. The recommendation from this study is for Shopee platform developers and sellers to strategically optimize chatbot use while maintaining human interaction that is adaptable, in order to enhance user satisfaction and loyalty.
The production of pharmaceutical sterile products requires strict procedures to minimize the risk of microbial, particulate and pyrogen contamination that can be harmful to the user's health. The selection of the right sterilization method is the key to achieving the desired stability of the final product. Filtration sterilization is one of the oldest methods used for pharmaceutical sterile products. There are two types of feed flow in the method, namely through flow filtration and tangential flow filtration. This review article is prepared through literature search and download of national or international journals with inclusion or exclusion criteria that have been set. Literature sources are accessed online from various sites such as Google Scholar and Pubmed in the range of 2014-2024. The keywords used for journal searches are sterilization, through flow filtration, and tangential flow filtration. This review article reviews and compares the two methods to understand the differences, mechanism of action, and research objectives based on the review article on membrane filtration sterilization. This review aims to provide a better insight into the advantages and disadvantages of each membrane filtration sterilization method, as well as guidance in choosing the appropriate method based on the characteristics of the product to be sterilized. The results showed that through flow filtration is more commonly used in small volume and batch processes because of its simple design, but has limitations in reducing membrane fouling. In contrast, tangential flow filtration allows for continuous processing of larger volumes, with the advantage of minimizing particle build-up on the membrane surface, thus extending membrane life. The choice of method is also influenced by factors such as particle size, viscosity of the solution, sensitivity to heat, as well as operating costs. An in-depth understanding of the Working Principle and application of each method is essential for the pharmaceutical industry to ensure the quality, safety and efficiency of the production process. Thus, this review is expected to be a reference for researchers and practitioners in determining the optimal filtration sterilization strategy according to product needs.
This study aims to examine in-depth the forms and types of clauses that appear in everyday conversations on social media, particularly on the Facebook platform. The focus of the study is directed at how social media users form and use clauses in online interactions, and their implications for message comprehension. This study uses a qualitative descriptive method with data collection techniques consisting of observations of conversations and interactions between users. The collected data are then analyzed to identify patterns, variations, and characteristics of the clauses used. The results show that the language forms used tend to be non-standard, for example, short sentences, omissions of subject or predicate elements, and the use of informal vocabulary. However, these variations do not hinder the understanding of messages between users. Instead, the use of these forms reflects users' adaptation to the nature of online communication, which demands speed and efficiency. This phenomenon demonstrates the flexibility of language that is constantly evolving in response to changes in social and technological contexts. The research findings confirm that language dynamics in the digital era not only influence clause form and structure but also enrich the variety of contemporary Indonesian discourse. This has important implications for education, particularly in language learning. By understanding the role of clauses in online communication, educators can adapt teaching methods to be more relevant to the linguistic realities faced by students. This research contributes to the study of sociolinguistics and digital communication, while also opening up opportunities for further research. Future, more in-depth studies could explore the influence of online interactions on language development, the relationship between language and culture, and how technology shapes communication patterns in society.
The use of technology in education is essential, particularly in creating digital teaching materials. This Community Service (PKM) activity aimed to introduce teachers and educators to the process of creating e-modules using Canva, a user-friendly tool with templates, graphics, and features for designing interactive and visually engaging teaching materials. The training provided hands-on experience, enabling participants to create curriculum-aligned e-modules, enhancing both their teaching materials and student engagement. The goal was to equip educators with the skills to develop innovative, digital-friendly materials that cater to various learning styles. During the training, participants integrated multimedia elements like images, videos, and text to make the learning experience more interactive. Emphasis was placed on incorporating technology in both physical classrooms and online learning environments, improving the overall dynamic of lessons. The training also helped educators gain a deeper understanding of Canva as a versatile tool for educational purposes. Results showed significant improvement in participants' confidence and ability to use Canva effectively to create engaging and pedagogically sound materials. Many expressed that the skills gained would help them incorporate creative and interactive elements into their lessons, fostering a more dynamic learning environment. This PKM activity successfully empowered participants to enhance their digital competencies and adapt to the evolving educational landscape. It contributed to improving the quality of education, ensuring educators are better prepared to navigate the digital age and meet the needs of modern learners. Furthermore, the training emphasized continuous learning and adapting to new technological tools to improve teaching strategies and learning outcomes
Number recognition is a critical skill in early education, laying the foundation for digital literacy and mathematical understanding. However, traditional methods of teaching number recognition often lack the interactivity and engagement necessary for effective learning, particularly for young learners. This study proposes the development of a deep learning-based Android application aimed at enhancing the number recognition process by providing an interactive and visual learning experience. The application utilizes a Convolutional Neural Network (CNN), a type of deep learning model, to recognize handwritten numbers, offering users an innovative and engaging way to learn and practice number recognition.In the proposed application, users can draw numbers on their devices, and the system will immediately provide feedback regarding the accuracy of the drawn numbers. The CNN model will be trained on a comprehensive dataset of handwritten digits to ensure high accuracy in recognition. This real-time feedback loop is designed to help users learn the correct form of numbers while also introducing the foundational concepts of deep learning. The main objective of this application is to provide an accessible, interactive platform for learning number recognition, especially for novice learners who may be unfamiliar with basic concepts in machine learning and digital literacy. By integrating deep learning technology, the application not only supports the learning of number recognition but also serves as an introduction to artificial intelligence (AI) concepts in a practical, easy-to-understand format. Furthermore, the application is designed to be user-friendly, ensuring that it is suitable for a wide range of learners, including children and beginners. The application aims to combine the fundamental principles of deep learning with a practical, hands-on learning experience, fostering a deeper understanding of both number concepts and the potential of AI in everyday life.
The development of digital technology has brought about significant changes in the way humans communicate and live their daily lives. One important innovation is Artificial Intelligence (AI), one tangible manifestation of which is the chatbot as a virtual friend. This study aims to examine the role of chatbots as virtual friends through a literature review approach. The results of the study indicate that chatbots can serve as a potential, easily accessible tool for providing emotional support. Chatbots are able to create a safe space for users, especially Generation Z, to express themselves and overcome loneliness. However, the relationship between humans and chatbots is complex. Chatbots can mimic supportive responses, but as algorithmic systems, their ability to experience true empathy is very limited. Users' awareness that responses are coming from a machine also influences perceptions of trustworthiness and the quality of the interaction. On the other hand, the use of chatbots also raises serious ethical challenges, such as data privacy issues, the potential for over-dependence, and increased loneliness if chatbots are used as a substitute for real social interaction. Therefore, the development and use of chatbots as virtual friends must be carried out with a critical understanding and ethical approach. Technology design oriented towards humanitarian values is needed so that the presence of chatbots does not diminish the essence of human relationships but instead becomes a psychosocially beneficial complement.
This study was conducted with the motivation to analyze the impact of product innovation, word-of-mouth (WOM), and social media marketing on purchasing decisions at one of the English language courses located in Kampung Inggris, Pare, Kediri, namely Global English. In the digital era and increasingly fierce competition among non-formal educational institutions, understanding the factors that influence purchasing decisions is very important. This study used a quantitative approach with a survey method via Google Form, which was distributed to active students at the institution. The research instrument, a closed questionnaire, was designed to measure students' perceptions of the product innovation offered, the influence of word-of-mouth communication, and the effectiveness of marketing strategies through social media. The analysis results show that product innovation has a significant influence on purchasing decisions, particularly in terms of offering new programs that are in line with market needs, such as the "Studycation" program that combines learning and recreation. Word-of-mouth has also been shown to play an important role in building trust among potential consumers through positive experiences from previous users. In addition, social media marketing makes a real contribution to reaching a wider audience, increasing interaction, and strengthening the institution's image in the public eye. These three variables, both partially and simultaneously, had a positive and significant influence on purchasing decisions. These findings indicate that integrated, digital-based marketing strategies are key to attracting and retaining consumer interest in the informal education sector. This research is expected to serve as a reference for course providers and other educational institutions in designing innovative, efficient, and adaptive marketing strategies to address changing consumer behavior in the digital era.
This study aims to identify the forms of implicature and language styles employed by netizens when commenting on the TikTok account @owner daviena skincare. Using a qualitative descriptive method with a pragmatic approach, this research explores the linguistic phenomena occurring in the comment section of selected posts. Data collection techniques include non-participant observation, attentive listening, note-taking, and documentation. The theoretical framework is based on the concept of implicature, which covers both conventional and non-conventional implicatures. The findings reveal that the comment section displays a variety of implicatures, with the dominant purposes being to offer advice, deliver criticism, and express support toward the content creator. Conventional implicatures appear when the meaning conveyed is closely tied to specific linguistic expressions, while non-conventional implicatures are identified in cases where the intended meaning relies on contextual interpretation. In terms of language style, the majority of comments utilize informal and conversational expressions, characterized by colloquial vocabulary, slang, and abbreviations that are common in online interactions. The analysis also highlights that the interplay between implicature and informal language style reflects the spontaneous and dynamic nature of digital communication on social media. Such interactions not only serve as a platform for engagement but also illustrate how language is adapted to suit the immediacy and brevity of online discourse. The study concludes that understanding implicature in social media contexts is essential for interpreting the underlying meanings beyond the literal content of user comments. Furthermore, the predominance of informal styles demonstrates the influence of digital culture on contemporary language use, particularly among netizens engaged in beauty and skincare communities.
WhatsApp is one of the most widely used messaging platforms, offering fast and simple communication. Among its active users are students from Islamic boarding schools (santri), including those involved in micro, small, and medium enterprises (MSMEs). However, despite its convenience, many users lack awareness regarding digital safety and privacy, exposing them to cyber risks such as phishing, scams, and identity theft. In Nusukan, Surakarta, this issue is particularly relevant for santri who rely on WhatsApp for both academic and business communication. This community service initiative was conducted at Al-Mukminun Islamic Boarding School in Nusukan, Surakarta, with the aim of increasing awareness and understanding of safe WhatsApp usage among MSME santri. The program consisted of counseling sessions, which included lectures and interactive discussions tailored to the participants’ needs. Key topics included how to adjust privacy settings, identify suspicious links and messages, protect personal data, and recognize common cyber threats. Participants responded positively to the training. Feedback showed that 80% of them reported they would avoid clicking unknown links in messages. Another 80% stated they would refrain from sharing personal information with strangers. Furthermore, 80% expressed their commitment to regularly updating the WhatsApp application to ensure optimal security features are in place. This program successfully raised awareness and empowered santri with essential knowledge about digital communication safety. It highlights the importance of integrating communication psychology and practical digital literacy into community education to support secure online behavior for young entrepreneurs. Overall, this training shows that a contextual and applicable communication psychology approach is very effective in forming positive digital awareness and behavior in religious-based communities such as MSME students.