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This article explores the effects of gamification on student motivation and achievement in online learning platforms. By examining gamified elements such as leaderboards, badges, and progress tracking, the study analyzes how these features impact students’ engagement and performance in virtual classrooms. Results indicate that gamification can significantly enhance motivation and encourage active participation, although the effectiveness may vary based on age and learning style. This research provides valuable insights into how gamified features can optimize online learning environments and improve academic outcomes, supporting the integration of gamification strategies in educational technology.

Teaching the Al-Qur’an is the core of Islamic education, with the main aim of guiding children in reading, studying and understanding the Koran from an early age. The Al-Qur'an Education Park (TPQ) serves as an important platform to instill a love of the Al-Qur'an in children. Even though many TPQs have been successful with good administration and management and a large number of students, there are still TPQs that have not developed, such as the TPQ in Glidah Kedamean Village, Gresik. Observations show that learning management at TPQ does not meet recognized management and curriculum standards in education, resulting in suboptimal educational attainment. Responding to this problem, the Glidah Village TPQ Teacher Management Optimization team, together with KSPPS BMT Khoiru Ummah, initiated an intensive community service-based mentoring program using the Participatory Action Research (PAR) method. The mentoring process involves several stages, starting from identifying problems through field observations, organizing and planning programs, to implementing program actions. The results of discussions and implementation of mentoring revealed a number of problems faced by teachers regarding TPQ management. The implementation of this mentoring activity has been empirically proven to have a positive impact, increasing the effectiveness of management and the quality of education at the TPQ.

Assistance in the use of social media for Micro, Small and Medium Enterprises (MSMEs) provides advantages and convenience in carrying out promotions to increase sales volume. The method used in community service is introduction, creation and assistance by choosing the right application is TikTok Shop. The TikTok Shop platform merges with TikTok as a TikTok platform that can share short videos without any time limits and has a wide reach and network with high traffic. The advantages of the TikTok Shop are expected to be able to help Mui Cat Shop to increase sales volume so that the expected profit is achieved.

Tujuan dari kegiatan pengabdian masyarakat pada UMKM ini yaitu untuk meningkatkan optimalisasi pemanfaatan platform digital. House of Duren merupakan UMKM yang membutuhkan bantuan berupa pelatihan dan pendampingan. Metode yang digunakan dalam kegiatan ini adalah dengan memberikan materi pelatihan dan pendampingan terkait optimalisasi media sosial dan merancang website UMKM House Of Duren. Kegiatan tersebut meliputi pelatihan dan pendampingan dalam merancang content plan menggunakan Google Spreadsheet, membuat desain konten menggunakan aplikasi Canva, dan mengembangkan website menggunakan Google Sites. Kegiatan-kegiatan tersebut dirancang sedemikian rupa sehingga nantinya House of Duren dapat secara mandiri terus melakukan perencanaan, perancangan, dan pemeliharaan konten & website.

Background: Public opinion analysis has become increasingly important in the digital era, where social media platforms generate large-scale textual data reflecting public perceptions toward environmental policies. Advances in Natural language processing (NLP) and machine learning enable systematic sentiment classification to support data-driven decision-making. Objective: This study aims to evaluate the effectiveness of several sentiment classification models in analyzing Indonesian-language social media data related to environmental policies. Method: The research employed a text mining pipeline including data crawling, preprocessing (case folding, tokenization, stopword removal, and stemming), and vectorization using TF-IDF. Three classification models Logistic Regression, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) were trained and evaluated using accuracy and F1-score metrics. Results: Experimental findings indicate that LSTM achieved the highest performance with 91.7% accuracy and 91.2% F1-score, outperforming SVM (88.5%) and Logistic Regression (84.2%). Sentiment distribution analysis shows that public opinion is dominated by positive sentiment (47.5%), followed by neutral (32.0%) and negative (20.5%). Overall: The results demonstrate that deep learning-based models provide more robust contextual understanding and more reliable sentiment mapping for environmental policy analysis.

This community service program was motivated by the suboptimal role of Dasawisma as a grassroots community organization in improving family welfare. Several Dasawisma groups still faced challenges in organizational management, low member participation, and limited understanding of productive and sustainable activity management. The objective of this program was to strengthen the organizational capacity of Dasawisma, increase member participation, and foster a spirit of solidarity and independence toward family welfare. The methods applied included a participatory approach through counseling sessions, group discussions, simple organizational management practices, and mentoring of Dasawisma activities. The results indicated an improvement in members’ understanding of organizational functions and the importance of structured activity planning. Members became more actively involved in preparing work programs, maintaining simple administrative records, and implementing productive and social activities. Behavioral changes were also observed, including increased collective responsibility, stronger cooperation among members, and the emergence of several local leaders. Furthermore, the program fostered a new awareness that Dasawisma is not merely a routine meeting forum, but a platform for empowering women and families toward sustainable welfare improvement.

The TikTok application has become a global phenomenon and is widely used by people of all ages, especially the younger generation, including high school teenagers. The prevalence of TikTok among Indonesian teenagers will undoubtedly affect the use of the Indonesian language in both direct and virtual communication. This study aims to investigate the influence of TikTok content on the use of proper Indonesian language, following the Enhanced Spelling System (E.Y.D), in communication through the WhatsApp application. The focus of this research is on high school students in Bandung City. The research method used is quantitative with a survey approach. Data was collected through a questionnaire created using Google Forms and distributed via the social media platform WhatsApp. The results show that the use of TikTok can influence the language used by students in communication. This study provides insights into how TikTok content affects the use of the Indonesian language among high school students. The implication is the need for a holistic approach in teaching language, including considering the influence of social media in language learning.

This study delves into the evolution of social media within marketing strategies, employing a bibliometric approach. It delineates substantial shifts in consumer behavior and business methodologies consequent to the proliferation of social media platforms. The primary aim is to offer a nuanced comprehension of social media's role in contemporary marketing landscapes, alongside identifying prevalent trends and patterns within pertinent literature. Employing bibliometric analysis, the study scrutinizes relevant articles to unearth significant insights. Findings underscore a heightened scholarly interest in social media marketing strategies and unveil collaborative frameworks among researchers and institutions. The implications underscore the imperative of comprehending social media's role and influence in shaping modern marketing paradigms, accentuating its pertinence in contemporary business practices. This research is poised to furnish invaluable insights for marketing professionals and academics, empowering them to craft efficacious marketing strategies tailored to the digital era.

As marketing strategies evolve, digital marketing is becoming increasingly integral to contemporary marketing approaches. Various promotional tactics, including social media marketing, live streaming, and online customer evaluations, are being utilized by companies to attract consumer interest in purchasing products. This study aims to examine the impact of social media marketing, live streaming, and online assessments on purchasing interest in The Originote products on the Shopee platform. The study population consists of The Originote's Instagram followers, with a sample size of 117 respondents. Data analysis is conducted using SPSS 26, encompassing validity and reliability assessments, classical assumption tests, multiple linear regression analysis, f-tests, and t-tests. The findings of the study suggest that while social media marketing (X1) does not significantly influence purchasing interest, live streaming (X2) and Customer online Review (X3) exhibits a significant impact on purchasing interest.

The aim of this research is to determine the role of educational technology in changing the landscape of Indonesian language education in the digital era. The methodology used includes a literature review to identify recent developments in the use of educational technology in language teaching. The results of this research show that educational technology has contributed significantly to improving the quality and efficiency of learning, facilitating distance learning through platforms such as Zoom and Google Meet, and encouraging innovation in educational strategies. This study shows that the role of educational technology does not only focus on technical aspects, but also influences the learning paradigm by changing the perspective on the role of teachers and students. However, the use of educational technology also presents challenges, including accessibility and socio- psychological impacts on students. Therefore, sophisticated strategies are needed to effectively incorporate educational technology into the language teaching curriculum. This study provides insight into how educational technology influences the transformation of Indonesian language education in the digital era. The methods and results of this research provide a better understanding of the complex role of educational technology in shaping education that is more adaptive and relevant to current developments.

The learning process at SMA Negeri 15 Pekanbaru is still dominated by traditional learning methods, such as lectures and questions and answers. This causes a lack of student interaction and participation in the learning process. In addition, the assessment method used is still dominated by written tests, which are less able to measure students' abilities thoroughly. Based on observations and interviews with teachers and students of SMA Negeri 15 Pekanbaru, several problems were found in the learning and assessment process including 1) Lack of student interaction and participation in the learning process. 2) The assessment method used is less able to measure students' abilities thoroughly. 3) Students' grades do not reflect their abilities optimally. 4) The learning process is less interesting and fun. One solution to overcome these problems is to utilize the Quizizz online learning platform. Quizizz is an online learning platform that allows teachers to create and conduct interactive quizzes for their students.

This study investigates the influence of social media and citizen science initiatives on astronomical literacy and its application in maritime navigation among transportation cadets. Through qualitative research methods, including interviews and observational studies, the perceptions and practices of 40 cadets at a transportation institute in Jakarta were explored. The findings reveal that social media platforms play a significant role in enhancing navigational knowledge and skills among cadets, providing access to diverse educational resources and fostering engagement with astronomical content. Similarly, participation in citizen science projects positively impacts astronomical literacy, offering hands-on learning experiences that reinforce theoretical knowledge. Moreover, the research highlights the importance of promoting cultural competence in maritime education to prepare cadets for navigating in multicultural environments. By aligning educational curricula with international standards and embracing emerging technologies, educational institutions can better equip transportation cadets with the necessary skills and knowledge to succeed in the globalised maritime industry.

The goal of this study was to analyze the effectiveness trends of digital marketing platforms with a comparison between two platforms, Google Ads and Facebook Ads. This research was conducted in January-February 2024 in East Ciputat District, South Tangerang City. The research subjects were 10 business owners who use both platforms, namely Google Ads and Facebook Ads. This research uses a qualitative method, namely by conducting in-depth interviews with 10 business owners who use both platforms. The results showed that the two platforms have different effectiveness, depending on the type of business and the target market. Google Ads is more effective for businesses that target consumers who are looking for information about certain products or services online. Meanwhile, Facebook Ads are more effective for businesses that target consumers who have a certain interest or interest in a particular product or service. This research implies that business owners need to choose the digital marketing platform that best suits their business type and target market. Choosing the right digital marketing platform will help business owners to increase their marketing effectiveness and achieve their business goals

PT XYZ, a building construction and design company in Palembang. The number of employees in this company is 30 employees with project, finance, marketing and also human resources (HR) divisions. PT XYZ has a need to improve the efficiency of human resource management. In the current condition, the company still relies on manual processes for recruitment, attendance, layoff data management, and employee leave applications. This Personnel Information System uses the Rational Unified Process (RUP) method as a system development method. System development uses the Laravel framework, PHP, CSS, HTML programming languages. In the analysis stage using PIECES and Usecase Diagram. System development uses two main approaches, namely using the FlutterFlow low-code platform and the Laravel Framework. The final result obtained is the implementation of a web-based Personnel Information System at PT XYZ. The implementation of this system makes a significant contribution in improving the efficiency and accessibility of staffing data at PT XYZ.

The creation of a web-based application management system is essential to assist organisations in maintaining their operational efficiency in the rapidly growing digital era. The purpose of this research is to apply the waterfall development method approach to the development of a web-based application management system. We compared the time efficiency and features of a low-code platform such as OutSystems and traditional coding using native PHP. By streamlining procedures for recruitment, leave, warning or dismissal data, and human resource management, the system can improve overall operational effectiveness and efficiency. This research can provide in-depth information on the efficiency of development time and overall features. Our contribution is to clarify the performance comparison in the context of application management system development between low-code platforms and traditional development approaches.

Collaborative filtering systems rely heavily on matrix factorization techniques, which often face scalability issues when handling large datasets. This paper presents an efficient parallel algorithm that leverages distributed computing to perform largescale matrix factorization. Experimental results show that our algorithm significantly reduces computation time while maintaining high accuracy. The approach has practical implications for recommendation systems, particularly in ecommerce and social media platforms.

Community service (PkM) is an activity carried out by FKIP students at HKBP Nommensen University, Medan, together with their supervisors, which aims to develop students in increasing their abilities and independence in society. The application of the Canva application is a platform that can design graphics, visual and audio themes that are used by students to design learning, especially in writing, increase digital literacy and creativity, design photos, posters, logos, banners with the available features. The Canva application is very easy to use and can be accessed via an application downloaded on a device or laptop and can also be accessed via the official website which students can use during learning training activities which can provide ideas and motivation in literacy-based learning which is used to be carried out. training for students at SMA Negeri 1 Kutalimbaru in increasing digital literacy and learning creativity through the use of the Canva application. Based on the results of implementing community service, the author concludes that the Pkm activities went well and received a good response from the Kutalimbaru State High School so that students were able to use the Canva application media so that students were more active in the learning process.

Web novels have gained popularity in recent years as a form of literature that is published and consumed online via specialized platforms. User generated comments and reviews play an important role in the web novel platform, providing valuable insight into reader sentiment and feedback. Manually analyzing sentiment from a large number ofcomments would be very time consuming, an efficient automated approach was required. This study uses the Latent Dirichlet Allocation (LDA) method to identify sentiment patterns (positive, negative, neutral) in user comments on web novels and analyze their distribution as a whole. LDA, originally designed for topic modeling, has proven effective in sentiment analysis, helping to group comments into relevant topics and uncover general sentiments related to each topic. This study aims to use the LDA method to identify sentiment patterns (positive, negative, or neutral) in user comments on web novels and analyze the distribution of sentiment as a whole. The results show the effectiveness of LDA in sentiment analysis, achieving quite good results, with 72% accuracy, 80% precision, 72% recall, and 65% F1 score.

This activity aims to explore the use of Google Colaboratory as a basic introduction tool to Python programming. The research methodology involves analyzing the features of Google Colaboratory, implementing basic Python code, and observing user experiences. Research findings indicate that Google Colaboratory provides high accessibility without the need for additional installation or configuration requirements, enabling users to quickly initiate Python programming. Furthermore, the platform offers sharing and online collaboration capabilities and provides computational resources suitable for intensive data processing tasks. The implications of this research suggest that Google Colaboratory can be an effective solution in supporting Python programming learning, especially for beginners. With a user-friendly interface and easy access, this platform has the potential to facilitate the development of programming skills for a broader audience.

Hypertension is still a significant problem in the global health sector today. The general public recognizes this condition as "high blood pressure" because blood pressure increases beyond the normal threshold. Health education has a major role in increasing public understanding about hypertension. So media outreach using the Tiktok social media platform can expand public knowledge and understanding regarding the urgency of hypertension. Objective: To determine the influence of the TikTok educational media platform on the knowledge of hypertension sufferers. Method: The design in this research uses a quasi-experimental approach using a one group pretest posttest design. Results: based on the results of statistical tests using the Paired Samples Test, the resulting P value is 0.000 < 0.05. Conclusion: it can be concluded that there is an influence of the TikTok educational media platform on the knowledge of hypertension sufferers in the Cireunghas Health Center working area. Suggestion: It is recommended for future researchers to measure the influence of respondent characteristics such as age, gender, education level, length of time suffering from hypertension, type of work and type of anti-hypertensive medication used on the knowledge of hypertension sufferers