The Influence of Social Media Influencers on Consumers’ Purchase Intentions for Electric Cars Mediated by Brand Image, Consumer Attitude, and Moderated by Green Attitude

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The purpose of this study is to aim to analyze the effect of Social Media Influencers on consumer purchase intentions on Electric cars with Brand Image variables as mediation and Green Attitude Variables as moderation. The research sample in this study were consumers who used and did not use electric cars with knowledge about electric cars in Indonesia in the 2020-2024 research year. This research method uses a quantitative approach with data collection techniques through questionnaires distributed to social media users, users and non-users of electric cars in Indonesia. The theoretical framework is built based on the latest literature review on digital marketing, consumer behavior and sustainability issues in the automotive industry. The results of the study can be expected to contribute new insights into the effectiveness of Social Media Influencers in the context of environmentally friendly products on the topic of Electric cars. The practical implications of this study can help marketers and policy makers in designing effective communication strategies to increase the adoption of Electric vehicles in Indonesia.

Pain Level in Clear Aligners and its Effects in Speech- Literature Review

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In place of traditional braces for orthodontic treatment, clear aligners are becoming more and more popular because of their aesthetic appeal and convenience. Nonetheless, many patients report experiencing pain and discomfort, particularly during the initial adjustment period or when switching to a new set of aligners. The aligners’ pressure, which shifts teeth into their desired positions, primarily causes this discomfort. Research shows that pain levels usually peak within the first 24 to 48 hours after starting a new aligner and gradually subside over time. Various factors, including an individual’s pain threshold, the complexity of tooth movements, and the fit of the aligners, contribute to differences in pain intensity. Moreover, clear aligners can impact speech, especially during the early phases of treatment. Patients frequently experience temporary lisping or challenges in articulating certain sounds because of the thickness and placement of the aligners. Although these speech changes are generally mild and improve as patients adapt, they can lead to short-term discomfort in social and professional situations. In conclusion, both the pain and speech issues associated with clear aligners are typically manageable and tend to diminish as treatment progresses, although they may influence patient compliance and satisfaction during the initial adjustment phase.

Extended Spectrum β-Lactamase: Tackling Antibiotic Resistance and Overcoming Treatment Challenges

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Antibiotics, also known as antibacterials, kill or inhibit bacterial growth but are ineffective against viruses, fungi, or parasites, often leading to misuse. They are categorized by molecular structure, mode of action, and spectrum of activity. Antimicrobial Resistance (AMR) occurs when pathogens no longer respond to antimicrobial drugs, arising naturally or through acquisition. Resistance mechanisms include enzymatic (most common), genetic and physical. Bacteria produce various β-lactamases, such as Extended Spectrum β-lactamases (ESBLs), AmpC enzymes, and carbapenemase to exert resistance to Beta-Lactam (βL) class of antibiotics. ESBL families include TEM, SHV, and CTX-M, with E. coli being the most prevalent host. Any Gram-Negative Bacteria (GNB) can be an ESBL producer, but most common ones are the Enterobacteriaceae including Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca and Proteus mirabilis. ESBL-producing Enterobacteriaceae (ESBL-E) resist penicillin, aztreonam, and cephalosporins except cephamycins and carbapenems, posing a significant public health risk. Genetic resistance mechanisms involve random mutations and horizontal gene transfer through either of the following processes namely conjugation, transformation, transduction. Physical mechanisms include efflux pump production and decreased porin channels. In some microbiological laboratories, ESBL production are often not determined, rather resistance based on MIC values to third generation Cephalosporins are considered as resistance due to ESBL production. Antibiotic use in agriculture and medicine has increased Multi-drug resistant (MDR) ESBL-producing E. coli and evidenced in retail meat and among meat shop employees. Community-acquired ESBL-E infections are a growing concern, with hospital transmission primarily occurring among patients sharing rooms with ESBL carriers. Empirical and definitive therapies for ESBL-E infections must be adjusted based on Antibiotic Susceptibility Testing (AST). The MERINO trial identified urinary tract infections as the most common source of ESBL-E bacteremia, with E. coli being predominant. For critically ill patients with non-urinary tract infections, Meropenem or Imipenem-cilastatin are recommended. For uncomplicated UTIs, Nitrofurantoin, Cotrimoxazole, and Piperacillin-Tazobactam (Pip-Taz) are effective, while Cotrimoxazole, Fluoroquinolones, and Ceftolozane-tazobactam are suitable for complicated UTIs. New β-lactamase inhibitors like avibactam, vaborbactam, and relebactam are promising for treatment. Misuse of antibiotics, such as inappropriate dosing and duration, contributes to AMR, a growing global challenge. Deaths from AMR, estimated at 1.27 million in 2019, could reach 10 million by 2050. ESBLs drive the use of broad-spectrum antibiotics, accelerating resistance development. Inadequate therapy exacerbates infections, leading to prolonged hospital stays, complications, and increased mortality. Balancing new drug development with resistance emergence is crucial to combat AMR.

 

Rediscovery and Restoring Forgotten Principles: Returning to the Past to Transform and Shape VET for the Future. Back to the Basics in VET

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The article explores the historical foundations and contemporary practices of Vocational Education and Training (VET), uncovering a cyclical relationship between past and present methodologies. It begins by analysing the traditional apprenticeship systems of medieval Europe and their counterparts in Asian contexts, demonstrating how these early models laid the groundwork for modern vocational education. The article then traces the historical origin of VET in response to shifting economic conditions and technological advancements, identifying key contemporary practices—such as competency-based education, work-based learning, and experiential learning—as rebranded versions of historical approaches. The analysis emphasizes that many of these so-called “innovations” are not entirely new but are instead adaptations of time-tested methods that have been revitalized to address current educational demands. This historical perspective underscores the importance of integrating traditional practices to enhance the effectiveness and relevance of modern VET systems. The discussion stresses the importance of learning from historical experiences to inform future developments in vocational education, suggesting that a deep understanding of VET’s historical context can provide valuable insights for educators and policymakers alike. The article also addresses the potential pitfalls of renaming and rebranding educational approaches, which can lead to misleading perceptions and adverse effects, hindering educators and policymakers from recognizing foundational principles that remain pertinent today. Additionally, the uncritical dismissal and rejection of past educational principles signifies a denial of the cultural and educational traditions that informed their development and shaped them. Acknowledging and recognizing these historical influences can enrich contemporary educational frameworks and promote a more nuanced understanding of the current educational landscape.

Identification and Population Density of Primate Animals in the Stik Jantho Aceh Besar Educational Forest

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Long tail macac (Macac fascicularis) and black langur (Trachypitecus auratus) are two species of primates protected by law. The conservation status of both is listed as vulnerable in the IUCN and appendix II status in CITES. The very sharp population decline in the monkey population is due to declining habitat quality and poaching. The STIK educational forest is a secondary forest, which is disturbed by illegal logging and forest fires. The vegetation that forms the habitat for the lives of kedih and black langur primates in this area is not yet known. There is no data on primates from the kedih and langur groups in the STIK Jantho educational forest. This is the reason why this research is important to be conducted. The purpose of this study was to obtain data on monkeyand black langurs including the number of groups, the number of species, age structure and sex ratio in the STIK Jantho educational forest. Data collection in this study used the transex path method by recording the number of groups, the number of individuals, age structure and sex ratio. Data analysis using Arch GIS 10.1 to determine the distribution of monkey and black langur by plotting each coordinate obtained, using GPS visualized in the form of a map. Determination of the density of kedih and black langur using the formula: P = D x A. Found 2 types of primate animals (Trachypitecus auratus and Macaca fascicularis), each 1 group. The number of Trachyipitecus auratus individuals 10 individuals and Macaca fascicularis 50 individuals. Both species of primate animals are included in the developing age structure and have a complete composition (adult males and females, infant and juveneel. The results are presented in the form of a distribution map of black langur groups, and the population density of kedih and black langur primates, narrated in the form of a research reporthis document.

Cloud-Native Data Science for Edge Computing and IoT Applications

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The use of edge computing and the Internet of Things are now considered essential subcategories of contemporary data systems. There is a new wave of data science application deployment approaches and management modularity, also referred to as cloud-native which caters for the required distribution to edge devices. The factors under consideration in this paper are emerging cloud-native technologies that include containerization, microservices, and the serverless model in data science workflows for edge computing and the Internet of Things. The above insights reveal the effectiveness of using this approach in supporting organizations for data science to create highly generalized, safe, and efficient data systems that meet the demands of edge working settings. Innovative city solutions, health care, and industrial Internet of Things are the important areas examined, and additional prospects and concerns are introduced.

Optimizing Strategy for Property Development Plan Changes: A Multi-Criteria Decision-Making Approach Using AHP Methods (Case Study: Project Bumi Cipta 3 Jakarta)

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This study examines the optimization strategy of property development plan changes for Bumi Cipta 3 Jakarta, a project by PT Cipta Bangun Property, one of the largest property companies in Indonesia. The analysis uses the Analytic Hierarchy Process (AHP), a multi-criteria decision-making (MCDM) method. The project is motivated by significant post-pandemic shifts in office space demand within Jakarta’s Central Business District. The study identifies four alternative development options: continuing with the office tower plan, or pivoting to an apartment, data center, or hospital. By interviewing key decision-makers and using the AHP method, the research evaluates financial and non-financial criteria, such as market attractiveness and site analysis. The findings suggest that the hospital alternative offers the highest potential in both financial returns and market alignment, followed by the data center and apartment projects. Strategic recommendations are provided to prioritize the hospital project while keeping the other alternatives in consideration for phased development, thus ensuring flexibility in response to future market conditions.

Maturity Assessment of Knowledge Management in the Transition of Organizational Transformation at PT Telkom Indonesia (Persero) Tbk

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The telecommunications industry is rapidly and significantly changing due to rising customer demands and digitization. Telecom businesses are exploring new strategies to maintain a competitive advantage. As the biggest telecommunication provider, PT Telkom Indonesia (Persero) Tbk (Telkom) consistently innovates and collaborates to foster a fair digital environment. This drive motivates Telkom to accelerate its transformation and lead Indonesia’s digitalization efforts. During this transformation process, Telkom needs to assess its knowledge management (KM) maturity level. This study will explore Telkom’s KM maturity, highlight gaps, and recommend business solutions. Using a mixed-methods approach, quantitative data were collected from surveys based on the Asian Productivity Organization (APO) framework, while qualitative data were gathered through in-depth interviews. This holistic approach ensures a comprehensive understanding of the key success factors of knowledge management. The research shows that the KM maturity level of Telkom is categorized as the 4th level or refinement level. This level indicates that Telkom’s KM progress aligns with the organization’s vision, mission, objectives, and priorities. However, there is still potential for continuous evaluation and improvement. Based on the data analysis, Telkom can implement several proposed business solutions, informed by 11 key success factors, to enhance the critical programs for organizational transformation.

Integrating The Directed Reading Thinking Activity (DRTA) and The Survey, Question, Read, Recite and Reviews (SQ3R) Strategy to Enhance Students’ Reading Comprehension of Descriptive Text in Senior High School

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This research aims to find out whether there is any significant improvement in students’ reading comprehension after the students were taught through the integrated Directed Reading Thinking Activity (DRTA) and Survey, Question, Read, Recite and Reviews (SQ3R) strategy. This is a quasi-experimental research design that conducts a quantitative method with 30 students as the samples. The students were tested through the reading test before and after the treatment namely the integrated DRTA with SQ3R. The data were statistically analyzed using paired samples t-test through SPSS version 22. The finding shows that there is a significant improvement in students’ reading comprehension after the students are taught using the integrated Directed Reading Thinking Activity (DRTA) and Survey, Question, Read, Recite and Reviews (SQ3R) strategy. The average score in the pre-test is 54.33, while in the post-test, it is 72.53. The sig (2-tailed) is 0.000 which is lower than 0.05. It means that there is a significant difference between the score of pre-test and post-test. Then, it is suggested for teachers to apply this new integrated strategy at class because this is a very good choice to embrace students to the effective steps in answering the questions of reading comprehension. Last, this research could be a reference for further researchers who want to conduct similar researches.

Distance Learning and Challenges of Technologies by Students in Uganda

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This study was conducted to examine the challenges students face in Uganda when it comes to distance learning. Uganda is a developing country and this has put a strain on the resources available to students in terms of access to technology. Therefore, this study looks to understand the challenges that students in Uganda have experienced in the shift to distance learning and the strategies that students have used to cope. A non-probability sampling technique of snowball was used to identify initial participants who meet the research criteria. In all, thirty (30) students across all levels of education in Kampala district were selected. The results showed that the majority of students reported experiencing some form of challenges related to distance learning. The most commonly reported challenges were technical problems with the learning platform and lack of access to the internet. The results of this study can inform policy decisions to better equip students and teachers for effective teaching-learning program across various educational institutions.