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Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas.

The rapid digital transformation in educational institutions demands an efficient student grade data processing system capable of handling workloads responsively. This study aims to analyze and compare the efficiency of sorting algorithms (Merge Sort and Quick Sort) and searching algorithms (Linear Search and Binary Search) on a web-based platform. The research method employed is laboratory experimental, testing algorithm performance across various data volume stratifications, ranging from 50 to 1000 entities, using the V8 JavaScript engine. Research findings indicate that Quick Sort possesses superior speed compared to Merge Sort due to its efficient in-place sorting architecture, which minimizes memory overhead and Garbage Collection activity. Furthermore, a performance anomaly was discovered where the Just-In-Time (JIT) Compiler mechanism optimizes execution on large data volumes through a warm-up phase. In the searching aspect, Binary Search demonstrates superior O(log n) logarithmic stability compared to Linear Search, which risks causing interface freezing on massive data. The implication of this study is the critical importance of implementing data pre-sorting protocols to exploit logarithmic search speeds to ensure academic information system scalability. The integration of appropriate algorithms proves to be a crucial foundation in maintaining web application responsiveness amidst the ever-increasing escalation of educational data.

Indonesian culinary comments on social media platforms such as Instagram are characterized by informal spelling, regional language mixing, slang expressions, and emojis, posing substantial challenges for automated sentiment classification. While IndoBERT has demonstrated strong performance across Indonesian natural language processing tasks, the contribution of individual preprocessing components to fine-tuning performance on informal text remains underexplored, particularly in the culinary domain. This study addresses this gap by conducting a systematic preprocessing ablation study on IndoBERT-Base fine-tuning for Indonesian culinary sentiment classification, accompanied by a comparative evaluation against Naive Bayes with TF-IDF, SVM with TF-IDF, and BiLSTM as representative baselines. A dataset of 3,500 manually labeled Instagram culinary comments across three sentiment classes was used, with a stratified 80/10/10 split. Six preprocessing variants were evaluated under identical experimental conditions to isolate the contribution of each component. The results show that slang normalization is the most impactful single preprocessing step, yielding a macro F1-score gain of +0.0609 over the no-preprocessing baseline, while the full pipeline achieves an accuracy of 0.8800 and a macro F1-score of 0.8465. IndoBERT-Base with the full pipeline outperforms all baselines across all evaluation metrics. Per-class analysis reveals that the negative class achieves the lowest F1-score of 0.7600, with sarcastic expressions and Banjar regional vocabulary identified as primary sources of misclassification. These findings indicate that preprocessing decisions have a measurable and non-uniform effect on IndoBERT fine-tuning performance. In this study, slang normalization provides the most substantial individual contribution in bridging the vocabulary gap between informal user-generated text and the model’s pre-training distribution.

This study examines the role of digital philanthropy in fostering social solidarity in Indonesia through community-based social actions. The rapid growth of digital philanthropic practices in the post-pandemic era, mediated by social media and online platforms, has transformed collective humanitarian engagement. This study aims to explore how digital philanthropy contributes to the formation of social solidarity and social cohesion. A qualitative approach using a case study method was employed. Data were collected through in-depth interviews with fifteen community-based philanthropic actors, participant observation, and social media document analysis. Data analysis followed Miles and Huberman’s interactive model, including data reduction, data display, and conclusion drawing. The findings reveal that digital philanthropy strengthens social solidarity through digital empathy, trust-building, and collective participation. Social media functions as an inclusive interactive space that expands cross-group solidarity networks. However, challenges such as digital inequality and algorithmic bias remain significant. This study concludes that digital philanthropy holds strategic potential to enhance social solidarity when supported by inclusive and sustainable governance frameworks.

This article examines the phenomenon of interfaith solidarity rapidly flourishing in Indonesia’s digital sphere during Ramadan, specifically through the viral "war takjil" trend involving active participation from non-Muslim communities. With national social media users reaching 180 million, digital platforms have transformed into crucial interaction spaces facilitating fluid and participatory interfaith communication. This research employs a qualitative approach using literature review, phenomenological analysis, and theological reflection within the Catholic tradition to understand the meaning behind this social behavior. Main findings indicate that this phenomenon is a concrete manifestation of bottom-up pluralism, emerging organically from daily social interactions. Based on the Contact Hypothesis, these digital interactions successfully reduce prejudice by achieving common goals and maintaining equal status in public spaces. Theologically, the phenomenon reflects the spirit of universal brotherhood and solidarity emphasized in the documents Fratelli Tutti and Nostra Aetate. The article concludes that healthy pluralism is the capacity to maintain one's own faith identity while actively building bridges of love with those of different beliefs. The implications emphasize the importance of media literacy for faith educators and catechists to guide the community in responding to digital social dynamics constructively without compromising theological truths. This study serves as a reference for developing inclusive, love-based interfaith communication strategies within Indonesia’s diverse digital society.

The development of digital platforms such as TikTok has encouraged the emergence of affiliate-based marketing practices in e-commerce activities. Affiliate marketing is a digital marketing system that promotes another person's product or service through a special affiliate link and earns a commission if a purchase or transaction is made through that affiliate link. Product promotion content has become one of the most effective marketing methods in the digital world. However, in practice, there are cases where affiliates reuse video content belonging to creators for promotional purposes and to earn sales commissions without permission. This study aims to analyze the provisions of digital video copyright protection under Law Number 28 of 2014 concerning Copyright and to examine forms of copyright infringement in the use of TikTok videos by affiliates. The method used is a normative study, employing a legal approach, a conceptual approach, and factual analysis. Primary and secondary legal materials were used in this study, which was analyzed descriptively and qualitatively. The results of the study show that TikTok videos fall under the category of cinematographic works that are protected as stipulated in Article 40 paragraph (1) letter m of the Copyright Law. Copyright protection arises automatically based on the declarative principle since the creation is realized in a tangible form, covering moral and economic rights. The use of TikTok videos by affiliates for promotional purposes and to earn sales commissions constitutes commercial use which, if done without the creator's permission, violates the creator's economic rights as stipulated in Article 9 paragraph (3) and potentially violates moral rights under Article 5 of the Copyright Law.

This study is motivated by the importance of information literacy among students in using the Shopee e-commerce platform. The purpose of this study is to determine the level of information literacy of 2022 cohort students at the Faculty of Languages and Arts, Padang State University, in using the platform e-commerce Shopee. This research employs a quantitative approach with a descriptive method. The population in this study consists of all 2022 cohort students of the Faculty of Languages and Arts, Padang State University, totaling 1,208 students, with a sample of 92 respondents selected using a simple random sampling technique based on the Slovin formula. Data collection in this study was conducted using a questionnaire developed based on the The Seven Faces of Information Literacy model, which was distributed online via WhatsApp in the form of Google Forms and directly through QR codes.Based on the confidence interval calculation, the average level of students’ information literacy falls within the range of 3.05 < μ < 3.27, indicating that the information literacy level of 2022 cohort students in using the platform e-commerce Shopee at the Faculty of Languages and Arts, Padang State University, is categorized as high. In general, it can be concluded that students have a good level of information literacy, particularly in aspects of information technology use, utilization of information sources, information searching processes, information control, knowledge construction, knowledge development, and wisdom in using information on the Shopee e-commerce platform.

Micro, Small, and Medium Enterprises (MSMEs) in Kemasantani Village have considerable potential in developing cassava-based products using MOCAF flour, particularly Antari chips. However, limited brand identity, unattractive packaging, and the underutilization of digital marketing have constrained product competitiveness and revenue growth. This community service program aimed to strengthen branding and optimize digital marketing strategies to support MSME revenue growth. A qualitative participatory approach was employed through surveys, interviews, observations, documentation, and direct assistance in brand identity development, packaging redesign, and social media management. The results indicate improvements in product image, packaging attractiveness, and market reach through digital platforms. The integrated application of branding and digital marketing successfully increased consumer engagement and led to an approximate 35% increase in MSME revenue within a three-month period. These findings suggest that strategic branding and digital marketing are effective approaches for enhancing competitiveness and ensuring the sustainability of locally based MSMEs in rural areas.

Marriage confirmation services are often hampered by manual procedures, leading to delays and administrative errors. This study aims to design and implement a web-based Marriage Confirmation Information System to facilitate registration, document uploads, and online monitoring of verification status and court schedules. The system was developed using the PHP programming language and MySQL database using the Waterfall method, encompassing analysis, design, implementation, and testing. The results show that the system is capable of optimally performing all managerial functions, from document validation to report automation. Black Box testing confirmed that all features functioned as expected and were easy to use. In addition to improving bureaucratic efficiency, the system ensures data security through login encryption and provides transparency through real-time status tracking. The presence of this platform significantly saves time and transportation costs for the public, as bureaucratic processes can be monitored from anywhere. In conclusion, this system successfully supports the digitalization of public services and improves the quality of administration within the Office of Religious Affairs (KUA) and Religious Courts, thereby realizing more effective, efficient, accountable, and modern governance for all levels of society

This study aims to analyze the phenomenon of slang usage on the TikTok social media platform as a form of linguistic adaptation in digital communication. Using a qualitative descriptive approach, this research examines how users modify language structures to create more effective, expressive, and socially meaningful interactions. Data were collected through participatory observation of content appearing on the For Your Page (FYP) feature and analyzed using textual and contextual methods. The findings reveal that slang formation on TikTok occurs within three main domains: phonological transformation through sound reduction to produce linguistic aesthetics, morphological modification through the creation of efficient acronyms, and cognitive-semantic shifts that redefine the meanings of existing vocabulary. These findings demonstrate that slang is not merely a temporary communication trend, but also functions as an important sociolinguistic instrument for constructing group identity, strengthening emotional connections, and reflecting the cognitive and cultural dynamics of contemporary digital society amid the rapid development of information technology.

This study aims to describe the transformation of Biology learning through the integration of Artificial Intelligence (AI) to strengthen 21st-century skills at a State Senior High School in Waingapu, East Sumba. Amidst the limitations of physical laboratory facilities, AI emerges as an innovative solution to visualize abstract biological concepts. This research employs a qualitative approach, with data collection techniques involving observation, interviews with teachers and students, and documentation studies. The results indicate that the utilization of AI platforms, such as Generative AI and virtual simulations, significantly shifts the student learning paradigm from rote memorization to active inquiry. The integration of AI has proven effective in reinforcing the 4C skills (Critical Thinking, Creativity, Collaboration, and Communication). Students have become more critical in validating information, creative in designing science projects, and more collaborative in classroom discussions. Furthermore, AI assists teachers in streamlining instructional time, allowing for deeper conceptual exploration. Despite challenges regarding local internet stability, this transformation represents a strategic step in narrowing the educational quality gap between peripheral and urban areas. In conclusion, the implementation of AI, coupled with adaptive teacher guidance, is highly effective in developing competitive students in the digital era.

This study explored how a teacher’s writing habit functions as emotional expression within a demanding teaching routine. Specifically, it examined four aspects like writing as emotional release, writing as reflective practice, writing within a demanding teaching routine, and writing as an emotional coping strategy. A qualitative single-case study design was employed. The participant was one female teacher at SD Negeri 060 Pekkabata, Polewali Mandar, Sulawesi Barat, who had a very hectic schedule including full-time teaching, administrative duties, and private tutoring. Data were collected through semi-structured interviews conducted via Zoom and WhatsApp chat, as well as document analysis of the teacher’s syllabus, lesson plans, blog, Instagram posts, journal book, and mobile phone notes. Thematic analysis was used to analyze the data. The findings revealed that writing served as a powerful emotional release, helping the teacher process anxiety and accept difficult situations. Reflective writing occurred primarily during professional training periods and motivated her to improve classroom practice. Despite her demanding routine, the teacher maintained a writing habit by using multiple platforms, writing during natural breaks, and prioritizing short, happiness-focused notes. She considered writing equally effective as talking to others for emotional expression and strongly recommended writing to fellow teachers. The study concludes that a flexible writing habit focused on emotional release and small positive moments can be a sustainable, low-cost coping strategy for teachers facing overwhelming professional demands. These findings have implications for teacher well-being program and teacher education.

The development of the digital era is driving the growth of the creative economy and opening up significant opportunities for Generation Z, who are highly familiar with digital technology. This generation has the potential to become key players in the development of digital-based businesses if equipped with adequate knowledge and skills. The community service activity carried out in Ngemplak Village, Boyolali Regency, aims to equip Generation Z with an understanding and skills in digital marketing so they can play an active role in the creative economy. The activity was carried out through socialization methods and direct practice in managing an online store using the Shopee platform, supplemented by materials on the concept of the creative economy, digital business opportunities, online marketing strategies, and the use of social media as a promotional tool. The results of the activity showed an increase in participants' understanding of digital marketing, improved technical skills in managing online stores, and increased motivation and confidence to start independent businesses. This program is considered effective in encouraging the use of digital media as a productive tool that has economic value and is sustainable for Generation Z.

This study aims to examine the influence of advertising appeal, influencer marketing, and online customer reviews on purchasing decisions in Tokopedia’s e-commerce platform. The research applied a quantitative method using survey questionnaires distributed to 109 Tokopedia users in Jakarta. Data were analyzed using path analysis with SmartPLS. The results indicate that advertising appeal and influencer marketing significantly and positively affect purchasing decisions, while online customer reviews show no significant impact. These findings suggest that Tokopedia consumers, particularly in electronic products, are more influenced by attractive advertising and influencer endorsements than by online reviews. The study is limited by its sample size, geographic scope, and product focus on electronics. Future research is recommended to expand respondents and product categories for broader insights.

The development of digital content on the YouTube platform encourages creators to produce more engaging and informative podcast videos through the editing process. This study discusses the video podcast editing workflow of the Tikitalk program on the Ampu Studio YouTube channel using Adobe Premiere Pro. This research also aims to understand how the editing stages are carried out in improving the quality of video podcast presentation. The research method used is descriptive qualitative through direct observation during internship activities, so that the data is obtained based on real field experience. The results of the study show that the editing process, such as video cutting, transition settings, audio adjustment, audio censoring, and the addition of motion graphics, can significantly improve the quality of video podcast presentation. In addition, this process also helps make the content more organized, informative, and engaging for viewers. Thus, the role of the editor in the production process is very important in supporting the quality of digital content on the YouTube platform. Therefore, it can be concluded that editing is not only a technical process, but also an important part in increasing the attractiveness and professionalism of a video podcast.

This study aims to qualitatively analyze the impact of order cancellations and customer ratings on the performance, performance, and income of online motorcycle taxi (Gojek) drivers in the Slawi region. The research method used a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation of a number of active drivers. The results show that the high rate of order cancellations, both from customers and the system, negatively impacts driver income stability and reduces work time efficiency. Furthermore, customer ratings play a crucial role in determining driver access to orders, incentives, and account sustainability. Drivers with low ratings tend to experience decreased performance due to limited opportunities to receive orders. On the other hand, the pressure to maintain high ratings also affects drivers' psychological state and work strategies. This study concludes that order cancellations and customer ratings are crucial factors that are interrelated in influencing the work quality and welfare of online motorcycle taxi drivers. Therefore, fairer and more transparent platform policies are needed to maintain a balance between customer satisfaction and driver protection.

This study aims to elaborate on the determinants of consumer purchasing decisions by emphasizing the role of social media, trust levels, and product quality in the Blibli e-commerce ecosystem in Batam City. The applied methodological framework is based on a descriptive quantitative approach involving 204 respondents with active transaction track records, selected through a purposive sampling technique based on the Jacob Cohen formula to ensure proportionality and validity of sample representation. Empirical data were collected through a structured questionnaire, then processed using comprehensive statistical analysis stages that include instrument validity and reliability testing, classical assumption evaluation, multiple linear regression modeling, and hypothesis testing through partial (t) and simultaneous (F) tests. The analysis results revealed that social media intensity contributed 14.1% to purchasing decisions, trust influenced 36.0%, while product quality influenced 40.4%. The coefficient of determination (R²) value of 86.4% indicates that the three exogenous variables simultaneously have substantial explanatory power towards variations in purchasing decisions. The t-test and F-test findings consistently confirm the significant influence of both individual and collective factors, thus confirming that strengthening digital presence, platform credibility, and consistent product quality are strategic foundations in guiding the preferences and purchasing intentions of Blibli consumers in Batam City.

This study aimed to examine the influence of promotional strategies and user-friendliness on consumer purchasing decisions on the ShopeeFood platform in Batam City. The research used a descriptive quantitative approach, involving 100 actively transacting respondents, selected through purposive sampling based on Lemeshow's calculation guidelines to ensure sample representativeness. Data were collected through a structured questionnaire and analyzed using a series of validity and reliability tests, classical assumption checks, multiple linear regression, and hypothesis testing using t- and F-tests. The research findings indicated that promotions contributed 42.4% to purchasing decisions, while user-friendliness contributed 26.0%. The coefficient of determination (R²) of 78.9% confirmed that these two variables collectively explained most of the variation in purchasing behavior. The results of the t- and F-tests confirmed that promotions and user-friendliness had a significant influence, both partially and simultaneously, emphasizing the importance of integrating effective digital marketing strategies and an intuitive application interface to drive consumer decisions on ShopeeFood in Batam City.

This study was motivated by students’ low conceptual understanding of temperature, heat, and thermal expansion at SMP Negeri 28 Batanghari, where learning achievement remained below 50%. Instruction predominantly used PowerPoint-based media, resulting in passive learning and limited contextual engagement. This study aimed to develop web-based interactive multimedia (GlidesApps) integrated with Cepak Kapung ethnoscience that is valid, practical, and effective in improving seventh-grade students’ conceptual understanding. The study employed a Research and Development (R&D) approach using a development model consisting of five stages: analysis, design, development, implementation, and evaluation. The resulting product, named LokaSains, is a web-based learning application accessible via smartphone, laptop, or computer without installation. It presents learning content on temperature, heat, and thermal expansion integrated with the ethnoscience of Cepak Kapung, a traditional cake from Batanghari Regency. Content expert validation obtained a score of 91.07% (very valid), while media expert validation reached 87.50% (very feasible) after two revisions. Teacher practicality assessment produced 98.33% (very practical), and student responses in small-group and large-group trials reached 94% and 90.35%, respectively (very good). During implementation with 28 seventh-grade students, the mean pretest score increased from 46.07 to 76.79 in the posttest. A paired samples t-test produced t = −13.053 with Sig. (2-tailed) = 0.000 < 0.05, indicating a significant difference in conceptual understanding before and after using the multimedia. The N-Gain score of 0.57 indicated moderate effectiveness in improving learning outcomes. Accordingly, the LokaSains interactive multimedia is considered valid, highly practical, and effective for teaching temperature, heat, and thermal expansion at junior high school level.

The development of information technology, particularly the use of smartphones, has changed human activity patterns and significantly impacted the education sector. The "one-stop-shop" concept reflects the use of mobile devices as centers for various activities, including learning. This situation drives the need for innovation in the development of adaptive and interactive learning media. One solution that can be developed is an Android-based mobile application using Flutter, which can increase the effectiveness and efficiency of the learning process. The Association of Multimedia and Information Technology Professionals (PPMultindo), an organization focused on technology, has developed an Android-based learning platform. This platform is designed to provide flexible access to materials, support interactivity, and facilitate collaboration between educators. Features such as learning analysis, material recommendations, and automatic evaluation are expected to improve the quality of the learning experience. However, the implementation of this technology still faces various challenges, including limited technological competence of educators, inadequate infrastructure, and adjustments to curriculum needs. Therefore, collaborative efforts are needed to optimize the use of mobile technology to support educational transformation in the digital era.