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Education plays a crucial role in improving human resource quality to achieve national goals. Universitas Muhammadiyah Riau (UMRI), through the Faculty of Teacher Training and Education (FKIP) Informatics, equips students with academic and pedagogical competencies to produce professional future teachers. The School Field Introduction Program (PLP) at Ma Dar-El Hikmah Pekanbaru serves as an experiential learning platform that enables students to observe school culture, build competencies, and understand the teaching-learning process directly. This study employs observation, interviews, and documentation methods to provide in-depth insights into the teacher’s role in managing the educational environment. The findings of this program are expected to enhance students’ understanding of the education sector and develop their skills as professional and adaptive future educators.

Penelitian ini bertujuan untuk menganalisis pengaruh persepsi kemudahan, persepsi keamanan, dan kualitas pelayanan samsat online terhadap kepatuhan pembayaran pajak kendaraan bermotor di UPPD Kota Semarang III. Metodologi yang di gunakan dalam penelitian ini adalah pendekatan kuantitatif dengan teknik pengumpulan data melalui penyebaran kuesioner kepada masyarakat pengguna layanan samsat online. Hasil penelitian ini menunjukkan bahwa persepsi kemudahan dan persepsi keamanan memiliki pengaruh positif yang signifikan terhadap kepatuhan pembayaran pajak. Selain itu, kualitas pelayanan samsat online juga berpengaruh signifikan dalam meningkatkan kepatuhan wajib pajak. Hasil penelitian ini memberikan kontribusi yang berarti bagi pengembangan sistem pelayanan pajak yang lebih baik melalui platform digital. Selain itu, penelitian ini juga memberikan masukan bagi kebijakan pemerintah dalam rangka meningkatkan tingkat kepatuhan pajak masyarakat.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

This research aimed to examine the influence of social media marketing and live streaming on purchasing decisions for skintific products through the TikTok platform in Jambi City. This research is a type of quantitative research. Determination of the number of samples in this research was 96 respondents with the sampling technique used as Purposive Sampling and the sampling method used was Non-Probability Sampling. The primary data used was obtained through a digital questionnaire, namely Google Form with a Likert scale. The data analysis method in this research uses SPSS (Statistical Product and Service Solution) using IBM SPSS Statistics 25 For Windows software. The results of this research indicate that social media marketing and live streaming have a positive and significant effect on purchasing decisions for skintific products through the TikTok platform in Jambi City.

Speed reading is an essential skill in modern education, requiring students to quickly and effectively comprehend information. This study aims to examine innovative and effective strategies for developing students' speed reading abilities in the era of modern learning. The research method used is library research, involving an extensive review of books, scholarly journals, and previous studies relevant to speed reading instruction. The findings indicate that the most effective strategies for improving speed reading skills include a combination of skimming and scanning techniques, minimizing subvocalization, and practicing word visualization. Additionally, the integration of digital technologies, such as AI-based learning applications and interactive platforms, has been shown to enhance both reading speed and comprehension. Constructivist and cognitive learning theories also play a crucial role in developing adaptive strategies tailored to students' needs. Despite the proven effectiveness of these strategies, several challenges remain, such as low reading motivation, difficulties in maintaining focus, and limited access to technology in certain educational settings. Therefore, educators must foster a conducive learning environment and incorporate appropriate technological tools to support the development of speed reading skills. This study contributes to the development of more innovative and adaptive speed reading instructional models in the digital era. The findings are expected to serve as a reference for educators in implementing more effective strategies to enhance students' speed reading abilities.

Penelitian ini bertujuan untuk mengevaluasi efektivitas Blackbox.ai dalam pengembangan website menggunakan metode Systematic Literature Review (SLR). Dengan menganalisis literatur dari artikel jurnal, prosiding konferensi, dan laporan industri, penelitian ini mengidentifikasi dampak Blackbox.ai terhadap kinerja website, pengalaman pengguna, dan efisiensi pengembangan. Hasil penelitian menunjukkan bahwa Blackbox.ai meningkatkan otomatisasi dalam penulisan kode, mengoptimalkan proses desain, dan mempercepat pengembangan website. Namun, terdapat tantangan dalam integrasi, kustomisasi, dan adaptasi terhadap berbagai platform. Implikasi dari temuan ini menunjukkan bahwa meskipun Blackbox.ai menawarkan banyak manfaat, diperlukan penyempurnaan dan penerapan strategis untuk memaksimalkan potensinya dalam pengembangan website. Penelitian ini memberikan wawasan bagi pengembang, pelaku industri, dan akademisi mengenai peran kecerdasan buatan dalam pengembangan website modern.

Penelitian ini bertujuan untuk mengevaluasi efektivitas Blackbox.ai dalam pengembangan website menggunakan metode Systematic Literature Review (SLR). Dengan menganalisis literatur dari artikel jurnal, prosiding konferensi, dan laporan industri, penelitian ini mengidentifikasi dampak Blackbox.ai terhadap kinerja website, pengalaman pengguna, dan efisiensi pengembangan. Hasil penelitian menunjukkan bahwa Blackbox.ai meningkatkan otomatisasi dalam penulisan kode, mengoptimalkan proses desain, dan mempercepat pengembangan website. Namun, terdapat tantangan dalam integrasi, kustomisasi, dan adaptasi terhadap berbagai platform. Implikasi dari temuan ini menunjukkan bahwa meskipun Blackbox.ai menawarkan banyak manfaat, diperlukan penyempurnaan dan penerapan strategis untuk memaksimalkan potensinya dalam pengembangan website. Penelitian ini memberikan wawasan bagi pengembang, pelaku industri, dan akademisi mengenai peran kecerdasan buatan dalam pengembangan website modern.

The development of e-commerce has transformed companies’ marketing communication strategies, including CV. Rintis Usaha Bersama, which operates in the sales of medical and industrial gas cylinders. Increasing competition has driven the company to optimize its digital communication strategies to enhance sales and maintain its market competitiveness. An effective marketing communication strategy is essential in attracting customers and fostering their loyalty. Therefore, this study aims to analyze the marketing communication strategies of CV. Rintis Usaha Bersama through e-commerce and evaluate their effectiveness in boosting product sales.  This research employs a qualitative method with an in-depth interview approach involving the company’s management. The analysis is conducted using the SOSTAC model, which includes situation, objectives, strategy, tactics, action, and control in digital marketing strategies. The findings indicate that CV. Rintis Usaha Bersama implements the 4P marketing communication mix (product, price, place, promotion) through e-commerce platforms such as Shopee and Tokopedia. The strategies adopted include clear product information dissemination, transparent pricing, promotional discounts, paid advertising, and flash sale campaigns. However, the main challenges faced by the company include intense price competition and an increasing number of competitors in the e-commerce sector. To improve the effectiveness of marketing communication strategies, the company is advised to develop educational content about its products, enhance customer engagement through responsive services, and collaborate with influencers or affiliate marketers to expand its audience reach. Regular evaluations are also necessary to ensure the strategies remain relevant to the dynamic market trends. 

The use of digital media in education is increasingly important to support a more interactive and interesting learning process, including in literature learning. This article discusses a community service program that aims to empower teachers in schools to utilize digital media as a means for more effective and enjoyable literature learning. Through training and workshops, teachers are given an understanding and skills in using various digital platforms, such as videos, learning applications, and e-books, to increase students' interest in reading and appreciation of literature. The results of this activity show an increase in teachers' skills in integrating digital media in literature learning as well as an increase in students' enthusiasm in learning literature. Thus, teacher empowerment through the use of digital media is expected to optimize the literature learning process in schools, as well as answer the challenges of education in the digital era.

This research uses a deep learning-based sentiment analysis approach with several main stages, namely data collection, preprocessing, model preparation, and model building. In addition, this research also evaluates the impact of data splitting techniques on the model's performance during the training process.The evaluation results show that the LSTM-GRU model achieved the best performance on the character aspect, with an F1-score of 0.72 in the 90:10 splitting scenario. Meanwhile, the lowest F1-score was found in the editing aspect, with a value of 0.51 in the 80:20 splitting scenario. These findings indicate that the model is more effective in recognizing sentiment in narrative aspects compared to technical aspects. Furthermore, the data splitting technique significantly influences model performance, both in determining accuracy levels and in optimizing the model's effectiveness in identifying sentiment patterns more accurately.

Social media marketing expands market reach through platforms such as Instagram, Facebook, and TikTok, while video marketing displays products more attractively on TikTok, Instagram Reels, or YouTube to increase customer engagement. Social media analytics functions to analyze customer data, measure campaign effectiveness, and optimize promotional strategies to be more targeted. This research used a quantitative method with 100 samples from Medan Selayang District using the cluster sampling method. The research results show that social media marketing has a positive and significant effect on increasing sales (t-statistics 6.249 > 1.66, p-values ​​0.000), while video marketing has no significant effect (t-statistics 0.784 < 1.66, p-values ​​0.433). Social media analytics has a positive and significant influence (t-statistics 2.589 > 1.66, p-values ​​0.010). Adjusted R-Square of 0.482 shows that 48.2% of the variation in the increase in MSME sales is explained by these three variables, while 51.8% is influenced by other factors outside this research.

This study analyzes the potential of local wisdom in the development of tourism villages in Indonesia, with a focus on local economic empowerment. Local wisdom, which includes traditions, culture, art, and social systems, is often not documented or utilized to its full potential in the tourism sector. Through a qualitative approach, this study explores how local wisdom can be used as the main attraction in the development of independent and sustainable tourism villages. Several tourist villages that have managed local wisdom effectively, such as Osing Village and Reog Village, are used as examples in this study. The findings show that although many villages have great cultural potential, many have not yet utilized digital technology in promoting their local wisdom. Better documentation and the use of technology such as digital platforms can increase the visibility of tourist villages and expand the market. In addition, local economic empowerment is achieved through the management of local wisdom that involves the community in all development processes. This study provides recommendations for strategies to optimize the utilization of local wisdom, including increased documentation, community involvement, and the use of digital technology, to create highly competitive tourist villages and make a real contribution to local economic empowerment.

The circulation of alcoholic beverages is often unlicensed, particularly traditional alcoholic beverages, which are frequently distributed without a license due to being considered cultural heritage or customs specific to certain regions in Indonesia. This situation raises concerns regarding both legal compliance and public health. This research examines the licensing process for the sale and purchase of traditional alcoholic beverages in Indonesia, focusing on the Presidential Regulation of the Republic of Indonesia Number 74 of 2013 concerning the Control and Supervision of Alcoholic Beverages as an analytical framework. The study aims to explore the regulatory environment surrounding the distribution of these beverages and evaluate the challenges and opportunities for obtaining proper licenses. The research further discusses the role of the Online Single Submission Risk Based Approach (OSS-RBA) system, a digital platform designed to simplify the licensing process for businesses. This study is expected to serve as a valuable reference and knowledge resource for the public, providing clarity on the licensing process for alcoholic beverages. It also aims to raise awareness of the legal framework and facilitate smoother and more transparent processes for distributing alcoholic beverages in Indonesia.

The House of Representatives of the Republic of Indonesia has adopted various digital communication strategies to maximize the use of social media. One of the strategies implemented is Cyber Public Relations Instagram @dpr_ri seeks to utilize every opportunity provided by social media platforms to deliver accurate, relevant, and interesting information to the public.The purpose of this study is to measure Cyber Public Relations of DPR RI on the @dpr_ri Instagram account, Fulfillment of information needs of followers of the @dpr_ri Instagram account, and How much influence does cyber public relations of DPR RI have on fulfilling the information needs of followers of the @dpr_ri Instagram account. The theories used in this research are Cyber Public Relations Theory, Philips & Young (2009) and Information Needs, Guha (1978). The approach in this study uses a quantitative approach. The method used in this research is a survey. Data collection by providing questionnaires to followers of the @dpr_ri Instagram account. Based on the calculation results of the research data, the tcount value of 5.095 is greater than the ttable value of 1.668. Then H0 is rejected and H1 is accepted. So the results show that there is an influence of cyber public relations of the DPR RI on Fulfilling the Information Needs of Followers of the @dpr_ri Instagram account.There is data from the coefficient of determination showing that the equation is 37.7% while the remaining 62.3% is influenced by other factors outside the study.There is a strong influence between cyber public relations of the DPR RI and Fulfilling the information needs of Followers of the @dpr_ri Instagram account.

This study aims to analyse the influence of flash sales and free shipping on consumer purchasing decisions for Shopee products. The research was conducted from October to December with a quantitative approach, involving 100 respondents as a sample. Data analysis includes data quality tests, classical assumption tests, hypothesis tests, multiple regression analysis, and determination coefficient tests with IBM SPSS 25 software. The results of the partial test showed that flash sale (X1) had no significant effect on consumer purchase decisions (Y) with a T value of -0.996 < 1.661 and a significance of 0.322 > 0.05. On the contrary, free shipping (X2) had a significant effect on consumer purchase decisions (Y) with a T value of 5.982 > 1.661 and a significance of 0.000 < 0.05. The F test shows that simultaneously flash sale (X1) and free shipping (X2) have a significant influence on consumer purchase decisions (Y) with an F value of 17.947 > F table 3.090 and a significance of 0.000 < 0.05. These results indicate that the two variables together have a positive influence on consumer purchase decisions on Shopee products.  

Scratch is a visual programming platform that allows people without advanced programming knowledge to create interactive projects such as games, animations, and quizzes. The purpose of this research is to create an interactive listening quiz design for university students using the scratch website. The method in this research is using SDLC with waterfall model. The results of this study was the design of interactive listening quizzes by applying the SDLC-Waterfall model by involving five stages, namely 1) requirement (Planning), 2) design (design), 3) Implementation (implementation), 4) Verification (operation), and 5) Maintenance (maintenance). The conclusion of this study is that there were five stages in designing interactive listening quizzes for students using the scratch website.

This study aims to analyze the legal review of legal protection for consumers related to the circulation of drugs that do not have a distribution permit in Indonesia. The research method used in this study is the normative legal research method. The main data source in this study is a secondary legal source, consisting of laws and regulations governing the circulation of drugs. The results of this study indicate that legal protection for consumers related to the circulation of drugs without a distribution permit in Indonesia has been strictly regulated in various regulations. Law Number 8 of 1999 concerning Consumer Protection, Law Number 36 of 2009 concerning Health, and Regulation of the Head of BPOM Number 26 of 2017 provide a strong legal basis to ensure that drug products circulating in the market are safe and have obtained a valid distribution permit from BPOM. This aims to protect consumer rights so that they are not exposed to health risks caused by drugs that are not guaranteed to be safe. However, a major challenge faced is the high number of illegal drugs circulating, both on the black market and online platforms that are difficult to monitor. In addition, the lack of awareness from consumers also exacerbates this problem. Suboptimal supervision is also another challenge in this legal protection. The lack of utilization of technology in supervision is also a significant obstacle. Although there are regulations and supervisory authority from BPOM and pharmaceutical personnel, the distribution of drugs without a distribution permit remains a complex problem

. This study examines expressive speech acts of praising in the comment sections of TikTok posts on the @amuhaiminiskandar account. The research aims to analyze the forms, functions, and contexts of praising speech acts based on the speech act theory proposed by John Searle. This study employs a qualitative descriptive method with a documentation technique, where data are collected from comments on TikTok posts of the @amuhaiminiskandar account. The findings reveal that praising speech acts reflect various expressions of appreciation toward the content, the public image of Cak Imin, and his political attitudes and style. This research contributes to understanding the dynamics of digital communication through social media, particularly TikTok, as one of the most widely used platforms in Indonesia.

This abstract explores the role of artificial intelligence (AI) in enhancing consumer satisfaction in Sichuan's online customer experience and service efficiency. With the rapid growth of e-commerce, understanding consumer preferences and behaviors has become crucial. AI technologies like chatbots, predictive analytics, and personalized recommendations are integrated into online platforms to streamline service delivery and improve user interactions. By leveraging data-driven insights, businesses can tailor their offerings to meet the specific needs of consumers, thereby increasing satisfaction levels. Furthermore, AI facilitates faster response times and more efficient problem resolution, leading to a seamless shopping experience. This study was conducted through an online questionnaire distributed to 380 Sichuan participants to measure their optimization and service efficiency satisfaction. The findings underscore that technical infrastructure, user acceptance and engagement, and service quality positively correlate with consumer satisfaction in AI experience improvement.

The global fashion industry continues to experience rapid growth, driven by changes in consumer preferences that increasingly emphasize personalization in clothing products. This study aims to analyze Generation Z's preferences for customization trends in fashion products and identify their impact on marketing strategies in the fashion industry. A qualitative approach with a descriptive method was used to understand the factors influencing Gen Z's preferences when selecting customizable fashion products. Primary data was collected through interviews with Gen Z consumers who are active shoppers on e-commerce platforms. The results show that 60% of Gen Z consumers are interested in customizable fashion products, with the main reasons being to express individuality and enhance emotional attachment to the brand. Social media, especially Instagram and TikTok, plays a significant role in shaping consumer preferences, as more than 70% of informants acknowledge that influencer recommendations influence their decision to purchase customized products. Based on these findings, it can be concluded that customization is not just an additional feature but a marketing strategy that can enhance consumer loyalty. Recommendations from this study include implementing personalized marketing strategies, improving customization features on e-commerce platforms, and collaborating with influencers to expand market reach.