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The development of digital technology has brought significant changes in the patterns of social interaction in society. Social media, especially TikTok, now functions not only as a means of entertainment but also as an effective medium for disseminating social, cultural, and humanitarian values. One interesting phenomenon in this context is the emergence of altruistic content, namely messages that represent caring, kindness, and selfless assistance. Content with altruistic nuances has its own appeal because it can create emotional closeness with the audience and has the potential to be used by business actors as a communication strategy to build a positive brand image. This study aims to identify and describe the forms of altruistic messages displayed in the TikTok account @mr.kingthread owned by Batik Benang Raja. The study used a descriptive qualitative approach with a content analysis method based on the altruism theory of Eisenberg and Mussen, as well as the six stages of content analysis according to Klaus Krippendorff. Data were collected from 24 videos uploaded between January 1–31, 2025, through observation and documentation techniques. Then, they were analyzed and categorized into six indicators of altruism: sharing, cooperation, helping, donating, honesty, and generosity. The results of the study show that @mr.kingthread's content consistently displays altruism through sincere, emotional, and easily accepted actions by the audience. The aspect of donating emerged as the most dominant element, followed by aspects of cooperation, helping, and sharing. The natural, authentic, and uncontrived message delivery strengthens emotional closeness with the audience and increases public trust in Batik Benang Raja's image as a brand that cares about humanitarian values. In conclusion, the altruism-based communication strategy through TikTok has proven effective in spreading humanitarian values, strengthening the company's positive image, and fostering a spirit of sharing among the audience.  

Dyslipidemia is a health problem characterized by impaired fat metabolism in the body, characterized by changes in blood lipid levels, either increasing or decreasing. This condition is generally seen through increased levels of total cholesterol, low-density lipoprotein (LDL), triglycerides, and decreased levels of high-density lipoprotein (HDL). This imbalance in the lipid profile, if persisted over the long term, has the potential to accelerate the formation of atherosclerotic plaque on artery walls, which can lead to cardiovascular disease. This study aims to determine the effectiveness of papaya leaf (Carica papaya L.) ethanol extract microcapsules in reducing cholesterol levels in white rats induced by a high-fat diet. The high-fat diet is formulated from a mixture of beef fat, eggs, and lard to increase cholesterol levels in a controlled manner. After the induction phase, the rats were divided into six treatment groups: a negative control group, a positive control group (simvastatin 0.36 mg), and three treatment groups with doses of papaya leaf ethanol extract microcapsules of 0.25%, 0.50%, and 0.75%. The treatment was given orally for 14 consecutive days. Total cholesterol levels were measured before and after treatment to evaluate the effectiveness of the intervention. The results showed that administration of papaya leaf extract microcapsules significantly reduced cholesterol levels. The 0.50% dose provided the most optimal effect, with a reduction reaching 77 mg/dL, greater than the simvastatin group. However, increasing the dose to 0.75% did not show a significant additional reduction effect, indicating an optimal dose-response point. Therefore, the 0.50% concentration can be considered the most effective dose and has the potential to be developed as an alternative natural cholesterol-lowering therapy. These findings also strengthen the potential use of papaya leaves as a bioactive source to support efforts to prevent and control dyslipidemia.  

Dyslipidemia is a lipid metabolism disorder characterized by elevated levels of total cholesterol, triglycerides, and low-density lipoprotein (LDL) accompanied by decreased levels of high-density lipoprotein (HDL). This condition is a major risk factor for atherosclerosis, coronary heart disease, and stroke. One plant with potential as an antidyslipidemic agent is bay leaves (Syzygium polyanthum). These leaves are known to contain active compounds such as flavonoids, saponins, tannins, alkaloids, and polyphenols that have antioxidant and hypolipidemic activities. The potential of natural compounds from medicinal plants to reduce blood cholesterol levels has gained significant attention in recent years. This study aims to evaluate the effectiveness of microencapsulated ethanol extract of bay leaves in reducing total cholesterol levels in white rats (Rattus norvegicus) induced by a high-cholesterol diet. The experimental study design employed was a laboratory-based true experimental method with a post-test control group design. A total of 25 male rats were used and divided into six groups: normal control, negative control (high cholesterol diet without therapy), positive control (simvastatin), and three groups treated with bay leaf extract microencapsulates at doses of 0.25%, 0.5%, and 0.75%. The treatment was given for 14 days, then total cholesterol levels were measured using an enzymatic method. The results showed that the group with a dose of 0.75% experienced the highest decrease in total cholesterol levels, namely -70 mg/dL, greater than the simvastatin group (-49 mg/dL). Statistical analysis using One Way ANOVA showed a significant difference compared to the negative control (p < 0.001). These findings indicate that the 0.75% dose of microencapsulated Syzygium polyanthum extract demonstrated an effect equal to or greater than simvastatin. Thus, it can be concluded that bay leaf ethanol extract microencapsulates are effective in reducing total cholesterol levels in hypercholesterolemic rats. This suggests that Syzygium polyanthum microencapsulation has the potential to be developed as an alternative phytotherapy for cholesterol reduction.

Dyslipidemia is a lipid metabolism disorder characterized by an increase or decrease in blood plasma fat levels. This condition includes high levels of total cholesterol, low-density lipoprotein (LDL), and triglycerides, as well as decreased levels of high-density lipoprotein (HDL). In general, dyslipidemia is divided into two types: primary, which is influenced by genetic factors, and secondary, which is caused by other diseases or an unhealthy lifestyle. Dyslipidemia is one of the major risk factors for cardiovascular disease, making its prevention and treatment very important. In this study, male white mice were used and induced with a high-fat diet to trigger dyslipidemia. The test animals were then divided into six groups: a negative control, a positive control (given simvastatin at a dose of 0.36 mL/day), and three treatment groups with microcapsules of Chinese betel leaf herb ethanol extract (EEHSC) at concentrations of 0.25%, 0.5%, and 0.75%. The treatment was administered orally for 14 days. Cholesterol levels were measured before and after treatment using a digital cholesterol tester and laboratory analysis to ensure more accurate results. The results showed a decrease in cholesterol levels with varying percentages in each group. The negative control decreased by 24.8%, the positive control by 36.1%, the 0.25% EEHSC by 24.1%, the 0.5% EEHSC by 34.7%, and the 0.75% EEHSC by 45.5%. This indicates that the 0.5% EEHSC treatment produced cholesterol reductions almost comparable to simvastatin. Interestingly, the highest effect was observed in the 0.75% group, indicating a dose-dependent response. In contrast, the 0.25% concentration only produced a less than optimal effect. Thus, microcapsules of ethanol extract of the Chinese betel leaf herb have potential as an alternative agent for lowering cholesterol levels, particularly in dyslipidemia. These findings suggest that natural-based therapies could complement conventional treatments in managing lipid disorders.

This study aims to analyze the influence of content marketing and live streaming on purchasing decisions for fashion products among Generation Z users of the TikTok platform. In the era of digitalization and social media dominance, TikTok has emerged as one of the most influential platforms shaping consumer behavior, particularly for the younger generation. The research adopts an associative quantitative approach using a questionnaire survey distributed to 102 respondents who actively use TikTok for fashion-related content. The collected data were analyzed through Structural Equation Modeling–Partial Least Squares (SEM-PLS) using SmartPLS 4 to test the hypothesized relationships between variables. The results indicate that both content marketing and live streaming significantly and positively affect purchasing decisions. The path coefficients of 0.361 for content marketing and 0.521 for live streaming demonstrate their substantial contribution. Furthermore, the research model yields an R-squared value of 0.640, suggesting that these two independent variables collectively explain 64% of the variance in purchasing decisions among Generation Z. In addition, the validity and reliability tests confirm that all constructs fulfill the eligibility criteria, reinforcing the robustness of the measurement model. These findings emphasize that content-based marketing strategies, when designed to be engaging, interactive, and visually appealing, are highly effective in fostering consumer interest and driving purchase intention. Live streaming, in particular, serves as a powerful marketing tool by offering real-time interaction, product demonstration, and a sense of authenticity that resonates strongly with Generation Z’s consumption patterns. The implications of this research highlight the strategic importance for fashion brands to optimize their digital marketing practices by integrating creative content marketing and live streaming features on TikTok.

This study explores the influence of digital marketing, service quality, and product innovation on customer satisfaction among Skintific skincare consumers on TikTok Shop. Employing a quantitative, explanatory research design, the study used purposive sampling to collect 200 valid responses from consumers who had purchased Skintific products via TikTok Shop. Data were collected through an online questionnaire and analyzed using multiple linear regression with SPSS, preceded by validity, reliability, and classical assumption tests. The results revealed that product innovation had the most significant impact on customer satisfaction (β = 0.589, p < 0.001), followed by service quality (β = 0.343, p < 0.001). However, digital marketing did not have a significant direct effect on customer satisfaction (β = 0.019, p = 0.746). The model explained 86.9% of the variance in customer satisfaction (R² = 0.869), indicating strong combined effects from the three factors. These findings suggest that post-purchase factors, particularly product innovation and service quality, are more decisive in influencing customer satisfaction than promotional efforts alone. Managerial implications highlight the importance of continuous product development, enhancing service responsiveness and reliability, and integrating digital marketing with value delivery to optimize customer satisfaction. The study contributes to social commerce literature by clarifying the distinct roles of marketing, service quality, and innovation in the context of TikTok Shop, providing both theoretical insights and practical guidance for brand strategy in social commerce platforms. This research adds to the understanding of how businesses can strategically leverage product innovation and service excellence to enhance consumer satisfaction and foster long-term customer loyalty in the competitive social commerce landscape.

Koenyaheun is a small business in Bandung that sells food that has been established since 2010. Initial observation results indicate a need for online marketing assistance for this business. During the community service activities, several things were found including more online customers than customers who ordered directly from this business, word of mouth marketing and also the use of social media. Observations and interviews with business owners and employees were conducted to obtain information in this community service activity. Several problems were also found such as logos, product photos, packaging, marketing. Solutions to the problems have been conveyed to the business owner so that it is hoped that this business will gain greater profits and better future prospects. It is recommended to market products on various social media platforms such as Tokopedia, TikTok, Instagram, Facebook, YouTube, Twitter, WhatsApp or cooperation with food delivery service applications such as GrabFood, GoFood, ShopeeFood, so that they can reach a wider range of consumers.

The TikTok application, which now offers the TikTok Shop feature, is one example of how significant changes in the digital commerce industry have been fueled by information technology advancements. This feature creates a real-time interactive experience by enabling customers to shop directly through live broadcasting. The purpose of this study is to examine how using the live streaming feature affects purchasing decisions, particularly for students at STAI Sangatta. 64 students enrolled in STAI Sangatta's Islamic Economics Study Program were given a questionnaire as part of this quantitative field study. Validity tests, reliability tests, t and f tests, simple linear regression, and classical assumptions were used to assess the data. The analysis's findings indicate that live broadcasting significantly influences consumers' decisions to buy. The resulting regression equation is Y = 10.166 - 0.742X. The hypothesis is supported since the t-value of 10.178 is greater than the t-table of 1.999 and has a significance level of 0.000 (p < 0.05). At 103.584, the F test is likewise significant. The influence of the live streaming variable is indicated by the coefficient of determination (R2) of 62.6%, whilst other elements not included in this research model influence 37.4%.

This study was conducted to examine the influence of ticket prices, facilities, and location on visitor satisfaction at Tirta Bening Swimming Pool. The approach used was quantitative with data collection through primary and secondary sources. The study population consisted of all visitors to Tirta Bening Swimming Pool. Data analysis techniques used included validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, and hypothesis testing. The results of the study indicate that partially, the three variables—ticket prices, facilities, and location—influence visitor satisfaction, as indicated by the t-test results. Meanwhile, based on the F-test, all three simultaneously also have a significant influence on the level of visitor satisfaction. More specifically, the facility variable has a dominant influence on visitor satisfaction. This indicates that comfort, cleanliness, completeness of facilities, and the quality of service provided by the management significantly influence visitors' perceptions of their experience at the swimming pool. Affordable ticket prices are also a major attraction, especially for families and student groups seeking cost-effective recreational alternatives. Meanwhile, the strategic and easily accessible location is also an added value, especially for visitors from the surrounding area. The implications of these findings are the importance of regularly upgrading and maintaining facilities, as well as providing additional services such as a cafeteria, comfortable changing rooms, and responsive security personnel. Management is also advised to periodically evaluate ticket pricing to maintain competitiveness while still supporting operational and service development. Furthermore, location promotion through social media and digital platforms can also expand visitor reach. This research provides an important contribution to the development of tourism destination marketing and management strategies based on visitor needs and satisfaction.

This study aims to analyze the influence of service quality and facilities on customer satisfaction at Tiki 0259 Outlet in Bekasi Regency. In the era of increasingly competitive logistics service industry, customer satisfaction is the key to the sustainability and growth of the company. Tiki 0259, as one of the providers of goods delivery services, must be able to maintain service quality and provide adequate facilities to maintain customer loyalty. The research method used is quantitative with a survey approach. Data were collected by distributing questionnaires to customers who have used Tiki 0259 services in the last six months. Data analysis techniques used validity and reliability tests, multiple linear regression, and t-tests to test the influence of each independent variable on customer satisfaction as the dependent variable. The results showed that service quality and facilities had a positive and significant effect on customer satisfaction. The test showed that the facility variable had a more dominant influence compared to service quality, evidenced by the t-value of 20.075 which was greater than the t-table of 2.021 and a significance value of 0.000 <0.05. This means that improved facilities, such as comfortable waiting rooms, comprehensive digital services, and easy access to information, have a direct impact on customer satisfaction. These findings indicate the importance of continued investment in facility improvements and staff training to enhance service. Tiki management is advised to continuously evaluate available facilities and ensure professional, prompt, and friendly customer service. This way, Tiki 0259 can maintain customer loyalty and increase its competitiveness in the delivery services market. This research also provides empirical support for customer satisfaction-based service development strategies in the local logistics sector.

This study aims to comparatively analyze the effects of two types of inhalation anesthetics, ether and chloroform, on Wistar rats, focusing on three main parameters: induction time, duration of anesthesia, and side effects. Selecting the appropriate anesthetic method is crucial in animal studies to ensure animal welfare and the validity of the results. Twenty male Wistar rats, with an average body weight of 200–250 grams and 10–12 weeks of age, were randomly divided into two treatment groups of 10 rats each. The first group was anesthetized using ether, while the second group was anesthetized using chloroform, with doses adjusted to achieve adequate levels of anesthesia. Measurements were made of the induction time, which is the interval from the start of anesthetic exposure until the loss of the pedal reflex; the duration of anesthesia, which is the length of time until the rat regains consciousness; and clinical observations of any side effects that appear, both during and after anesthesia. The results showed that the ether group had a relatively longer induction time than the chloroform group. However, ether provided a longer and more stable duration of anesthesia, with a better recovery rate. In contrast, chloroform produced a shorter induction time but was accompanied by a shorter duration of anesthesia and a higher risk of side effects, particularly liver dysfunction and respiratory depression. These findings reinforce previous reports that chloroform has significant potential toxicity, and its use in animal research should be limited. Based on these results, ether is recommended as a relatively safe inhalation anesthetic option for laboratory procedures in Wistar rats, although its use still requires strict supervision and appropriate handling procedures to ensure the safety of both researchers and experimental animals.

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.

This study aimed to compare the inhalation anesthetic profiles of ether and chloroform in white rats (Rattus norvegicus) using a modern pharmacological approach. Five healthy male rats (8–10 weeks old) were randomly divided into three groups: ether, chloroform, and control (ketoprofen). The main parameters observed were the onset time of loss of the righting reflex and the duration until its recovery. In theory, ether works by enhancing GABAergic transmission and inhibiting NMDA channels, thus having a slow but stable induction effect (IKAPI, 2009; Arqom, 2023). In contrast, chloroform works by stabilizing the neuronal membrane through activation of the K₂P TREK-1 channel and inhibition of Na⁺/Ca²⁺ currents, resulting in rapid induction with a short duration (Pavel et al., 2020). The experimental results support this theory: chloroform showed an average onset of 167.83 seconds and an anesthesia duration of 84.67 seconds, while ether had a slower onset (307.17 seconds) but a longer duration (169.33 seconds). The difference between the two was statistically significant (ANOVA, p<0.05). The coefficient of variation for chloroform was nearly four times higher than that of ether, indicating that ether provides a more consistent anesthetic effect across individuals. These findings are consistent with previous studies, such as Fathiyah & Anretha's (2023) report on the variability of chloroform effects and the results of in vivo amethyst anesthesia studies (Aprira, 2022; Genta et al., 2021). Overall, ether is more suitable for medium-term procedures requiring stable anesthesia, while chloroform is suitable for short interventions requiring rapid induction. This study emphasizes the importance of controlled inhalation environments, adequate sample sizes, and chamber standardization to enhance the external validity of the results.

This study aims to analyze the influence of TikTok social media and store atmosphere on impulsive buying behavior among Generation Z at the Minisopink Store PVJ Mall Bandung. Impulsive buying is often triggered by emotional and external stimuli, and this phenomenon is often found among Gen Z, who are strongly influenced by social media content and store atmosphere. Although the implemented marketing strategy has followed consumer trends, its implementation is considered not optimal in utilizing the potential for impulsive buying. This study uses a quantitative approach with descriptive and verification methods to understand the influence of these two variables. The research sample was obtained through a questionnaire distributed to respondents who met specific criteria, namely having shopped at the Minisopink Store PVJ Mall Bandung, following the store's official TikTok account, and actively using TikTok social media. The distributed questionnaire measured the extent of the influence of TikTok social media and store atmosphere on impulsive buying behavior. The results show that TikTok social media has a positive and significant influence on impulsive buying among Gen Z. Engaging TikTok content, such as promotional videos and other creative content, can trigger emotions and encourage the desire to buy products impulsively. On the other hand, store atmosphere, including elements such as interior design, lighting, and music, also showed a positive influence on impulse buying behavior. However, the effect was not significant, indicating that the store atmosphere is not yet fully capable of creating a strong enough emotional appeal to encourage impulse buying. This finding indicates that Minisopink's digital marketing strategy through TikTok has not maximized the potential of features such as hashtags and interactive videos (stitch), which can further increase user engagement. Furthermore, store atmosphere elements such as music also need to be improved to create a more immersive and engaging shopping experience.

This study aims to analyze the influence of Online Advertising on purchasing decisions for Skintific products by considering the mediating role of Trust and Social Media Engagement. Skintific, as a digital-native skincare brand, actively utilizes digital marketing strategies through various social media platforms such as Instagram, Tiktok, or e-commerce like Shopee to increase consumer appeal, especially in Malang City. This study uses a quantitative approach with the Partial Least Squares Structual Equation Modeling (PLS-SEM) method to test the relationship between variables. The sample was obtained through a purposive sampling technique with 114 respondents who are active consumers of Skintific. The results of this study indicate that Online Advertising has a significant effect on purchasing decisions, both directly and through the mediation of Trust and Social Media Engagement. Theoretically, this study extends the application of the Theory of Reasoned Action (TRA) in explaining the formation of attitudes and subjective norms of consumers towards digital advertising, as well as the Technology Acceptance Model (TAM) which shows how perceived ease and usefulness of digital advertising content affect user engagement. Customer Trust Theory in E-Commerce is used to explain how trust is formed in online transactions, while Relationship Marketing Theory emphasizes the importance of long-term interactions between brands and consumers. The Theory of Planned Behavior (TPB) expands this framework by adding the construct of behavioral control, which explains how consumers' perceptions of ease and barriers contribute to purchasing decisions. Social Influence Theory is used to understand the influence of social norms and online community opinions on purchase intentions, and Uses and Gratifications Theory (UGT) to examine consumer motivations in accessing and interacting with digital content based on information needs, affection, and self-identity. This research provides theoretical contributions in strengthening the relevance of integrating several consumer behavior theories in a digital context.

This study compares the performance of two deep learning models, namely Convolutional Long Short-Term Memory (ConvLSTM) and Long-term Recurrent Convolutional Network (LRCN), in the task of recognizing human activity from videos. Human activity recognition is an important field in computer vision with many applications, such as security monitoring, human-computer interaction, and social media-based video analysis. ConvLSTM is a model that combines convolution operations with long-term memory LSTM, thus capable of capturing spatial and temporal information simultaneously. This approach is ideal for processing video data sequences that have spatial and temporal dimensions. On the other hand, LRCN combines the power of spatial feature extraction from Convolutional Neural Network (CNN) and temporal sequence modeling through Recurrent Neural Network (RNN), specifically LSTM, to understand movement patterns in videos. The study used the UCF50 dataset consisting of 50 activity classes, but was limited to five classes for the focus of the experiment. The dataset was divided into 80% for training and 20% for testing, and the model was drilled for 50 epochs using early stopping to prevent overfitting. The results show that both models have high training performance. ConvLSTM achieved a training accuracy of around 98% and a validation accuracy of 90%, while LRCN achieved a training accuracy of 99.5% and a validation accuracy of 88%. Although ConvLSTM demonstrated good stability on the validation data, further testing using TikTok videos as real-world data showed that LRCN had a higher confidence level in recognizing activities, with most predictions achieving confidence scores above 80%. This difference in performance indicates that while ConvLSTM excels in generalizing on training data, LRCN is more robust to real-world data variations.

This study investigated the phytochemical screening and antibacterial activity against various microorganisms including E. coli, Staphylococcus aureus, Klebsiella pneumoniae, Enterococcus faecalis, and Candida albicans. Active compounds were isolated and identified from Aleppo Oak Gallnut, obtained from the Iraqi plant Quercus Infectoria L. Plant extracts were prepared using a continuous extraction apparatus, Soxhlet, with a successive solvent system based on polarity differences, including petroleum ether (60-80°C), ethanol (78°C), and hot aqueous extracts. Acid hydrolysis was performed on the raw ethanol and hot water extracts to obtain free phenolic compounds, including Gallic acid, Apigenin, Rutin, Kaempferol, Chlorogenic acid, and Caffeic acid, using high-performance liquid chromatographic (HPLC) techniques. The inhibitory activity of Aleppo Oak Gallnut extracts (Ethanol and Hot Aqueous) after acid hydrolysis was tested using four concentrations (25%, 50%, 75%, 100%) against various microorganisms. The Ethanol extract exhibited a significant inhibitory effect on Enterococcus faecalis. The Hot Aqueous extract showed a modest inhibitory effect on Enterococcus faecalis. The Ethanol extract demonstrated strong inhibition against Klebsiella pneumoniae. The Hot Aqueous extract at 100% and 75% showed high inhibition. The Ethanol extract exhibited significant inhibitory effects against Staphylococcus aureus at 100%. The Hot Aqueous extract at 75% and 100%  demonstrated weaker inhibition against Staphylococcus aureus. The Ethanol extract demonstrated weaker inhibition against E. coli, and the Hot Aqueous extract showed no effect at 50%  and 25%, and slight inhibition at 100%  and 75%. For Candida albicans, the Ethanol extract showed minimal inhibition at all concentrations and no effect at 25%. The Aqueous extract had a slight effect at 100%  and no inhibition at 75%, 50%, and 25%.

As technology rapidly advances and social media adoption becomes widespread, Instagram and TikTok have evolved into essential marketing platforms, particularly for Micro, Small, and Medium Enterprises (MSMEs). This report aims to develop and implement a digital marketing strategy for the Seblak Opat Lima MSME using these two platforms. The business faced challenges in optimizing its digital marketing to reach a broader market, primarily due to a limited understanding of digital marketing among employees and a lack of consistency in social media account management. Our methodology involved field observation, which included creating a content timeline and content scripts to ensure consistency and relevance of published material. The analysis results show a significant increase on both social media platforms after the strategy was implemented, with a growth in followers and enhanced audience engagement, especially on TikTok and Instagram. Furthermore, analytics indicate that trend-aligned content combined with appropriate hashtag usage successfully expanded reach, increased profile visits, and encouraged more active audience interaction. Thus, the implemented digital marketing strategy proved effective in expanding the market and boosting sales for Seblak Opat Lima MSME.

Mbak Siti Bagus's Warung Seribu Berkah UMKM is located in the Karang Jahe Beach tourist area, Punjulharjo Village, Rembang District, Rembang Regency, Central Java. Within 10 years of running the business, the UMKM experienced obstacles in developing the business, namely branding that was not optimal, which was indicated by: 1) Not having a business identity; 2) the location of the UMKM was difficult to identify with other UMKM; and 3) the business did not have an online marketing channel. From these obstacles, the Business Work Lecture (KKU) Team provided assistance with a program to maximize branding by: 1) Creating a logo design for cup packaging; 2) Creating a logo on the packaging; 2) Creating proof of payment receipts, 3) Creating Google Maps aimed directly at the UMKM stall, and 4) Creating social media accounts in the form of TikTok and Instagram. The KKU implementation method includes: 1) Pre-survey to the MSME Location, 2) Identifying problems in the MSME Warung Seribu Berkah Mbak Siti Bagus, 3) Program preparation, 4) Program implementation, 4) Mentoring, 5) Evaluation. The program results obtained are as follows: 1) MSMEs have a unique logo for cup packaging, 2) MSMEs already have a note to add up orders, 3) MSMEs already have Google Maps which are directly centralized in the MSME stall, and 4) MSMEs have social media accounts to facilitate marketing

The use of social media has become an inseparable part of daily life for Indonesian teenagers. Platforms such as Instagram, TikTok, and WhatsApp are widely used for communication, self-expression, entertainment, and information. However, behind these benefits lie significant negative impacts, particularly the rise of juvenile delinquency and digital violence. Phenomena such as cyberbullying, the spread of negative content, hoaxes, hate speech, and online exploitation are increasingly prevalent. Data from GoodStats and the 2024 National Survey on the Life Experiences of Children and Adolescents (SNPHAR) reveal high rates of violence experienced and perpetrated by teenagers in digital spaces. Furthermore, reports from the Indonesian Child Protection Commission (KPAI) show a yearly increase in cases of juvenile misbehavior linked to social media usage. This study employs a descriptive quantitative approach using secondary data from KPAI, GoodStats, and SNPHAR. The objective is to identify various forms of juvenile delinquency triggered by social media use and to explore both existing and potential strategies for prevention. The analysis indicates that low levels of digital literacy among teenagers, weak parental supervision, and the influence of social media algorithms that often amplify extreme content are major contributing factors to deviant behavior. This research emphasizes the importance of collaborative efforts among families, schools, the government, and digital platforms to create a safe and healthy digital environment for teenagers. Comprehensive digital literacy education, character development, stronger child protection regulations on the internet, and increased parental involvement are key strategies that need to be strengthened. Through an integrated approach, it is hoped that the risks of delinquency and digital violence can be minimized, enabling Indonesian youth to grow into a generation that is intelligent, critical, and responsible in their use of social media.