Abstract:The rapid advancement of Artificial Intelligence (AI) introduced Virtual Influencers (VIs) as innovative digital marketing tools, yet their adoption in high-trust sectors like banking presented unique challenges. This study…
udy analyzed the potential impact of using VIs on consumer perception and marketing ethics within the context of digital security campaigns. A qualitative-contextual approach was employed, examining Bank Central Asia’s (BCA) “Don’t Know? Kasih No!” (DKKN) campaign as a primary case study. The research explored the implications of replacing a highly credible human figure, Indro Warkop, with a VI. Drawing on Source Credibility, Parasocial Relationship, and Marketing 6.0 theories, the analysis identified an inherent trust deficit in VIs. Results indicated that while the actual DKKN campaign successfully garnered over 100 million views and reduced customer financial losses by 41%, a hypothetical AI-led version would likely trigger consumer skepticism due to a lack of experiential authenticity. Furthermore, an ethical paradox was discovered where mandated AI transparency disclosure triggered skepticism among Gen Z users. It was concluded that for high-stakes financial communication, human influencers remained superior due to their emotional relatability and the "sentience factor" required for cybersecurity advocacy. This paper recommends that banking institutions limit VIs to functional roles rather than high-stakes security literacy.
Abstract:Implementation of Internet of Things (IoT) technology and microcontrollers as an automatic temperature control system on tools for proofing bread dough at the Oei Oei Pizza and Patisserie Micro, Small, and Medium Enterprise…
ise (MSMEs). The primary issue faced by partners was temperature instability during the dough fermentation process, leading to inconsistent product quality. The implementation method included problem identification, tool design and construction, implementation at partner locations, and mentoring and evaluation. The results of the activity showed that the tool can help IoT-based systems maintain stable fermentation temperatures, improve dough quality consistency, and increase production efficiency. This initiative also has a positive impact on increasing partners' capacity to utilize appropriate technology.
Abstract:Small and Medium Industries (SMEs) play an important role in the regional and national economy, especially in providing employment and increasing the added value of local products. T.A Rezeki is one of the SMEs that produces…
uces its products by purchasing raw materials from products at chemical stores, then marketing them to surrounding areas, several restaurants, mosques and laundries directly. The design of an IoT-based batch mixer is expected to help TA Rezeki SMEs to automate the base soap stirring process so that it is more efficient and consistent. With the implementation of IoT, it is expected to reduce operational costs, increase production capacity, and produce soap products with better and uniform quality. Based on the satisfaction survey conducted, the results showed that the digitalization of soap stirring tools carried out in this activity provided benefits to SMEs by providing convenience with equipment automation and more consistent stirring so that the resulting products are also of better quality.
Abstract:This study discusses the design and construction of a corn sheller with a capacity of 80 kg/hour using an internal combustion engine . A corn sheller is a machine that functions to shell corn to separate the corn kernels…
from the corn cobs. In Indonesia, corn is available in abundance in rural areas, especially during the harvest season. In the production process, generally, during the shelling process, many farmers still use the shelling method by hand or using simple tools, which takes quite a long time. The reason people still use the shelling method by hand or using tools is because the price of the machine is too expensive and they are not even aware of the existence of a corn shelling machine. This corn shelling machine with a 5.5 HP internal combustion engine is a tool designed to speed up and simplify the corn shelling process efficiently and produce a fairly large production capacity of 80 kg / hour. To extend the service life of this corn shelling machine, maintenance and cleanliness should be carried out so that the machine can operate optimally without problems. Safety also needs to be considered to avoid unexpected work accidents.
Abstract:Women, especially housewives, hold a number of central functions in the family and are important economic resources. Empowerment of women is very important because it can create conditions, atmosphere, climate, which allows…
ows the potential to develop. The main priority of empowerment is the creation of independence. Self-empowerment efforts have also been realized by groups of housewives who are PKM partners, consisting of three people joined in the "SMA HKBP" and three people from the "SMA HKBP" located in, Dolok Sanggul. The objectives of this PKM activity are: 1) help empower groups of housewives who desire to become entrepreneurs; 2) help PKM partners in creating skills and comfort in community life through entrepreneurship; 3) improve thinking, reading and writing skills or other skills such as internet use. The targets of this program are: 1) the formation of a new business in the field of handicrafts from rope or thread curry (macrame); 2) availability of production support tools to produce creative macramé products; 3) there is an increase in knowledge and skills in producing various types of creative macarame products and are in demand by consumers. The outputs of this program are: Entrepreneurship Module, Basic Financial Accounting Module, and Use of Technology, Information and Communication Module. The implementation method is carried out to achieve the purpose of community service through PKM activities through discussion methods, technical guidance/training, workshops, and mentoring. Through PKM activities, empowering partner groups to become entrepreneurs is expected to help empower groups of housewives who are PKM partners so that they can improve the welfare of families and surrounding communities in a concrete manner .
Abstract:This study aims to analyze the financial performance of PT. Askrindo with a focus on liquidity and solvency ratios. Insurance companies play a crucial role in providing services to address future risks. The performance of…
f these financial companies is evaluated using financial statements consisting of balance sheets and income statements. Liquidity and solvency ratios were chosen as the primary analytical tools in this study. The analysis results indicate that PT. Askrindo has good liquidity performance, where current assets can adequately cover current liabilities. The liquidity ratio during the period 2019 to 2022 showed a positive increase, reaching an average of 297% in 2022. However, there was a decline in the solvency ratio, especially in the debt-to-equity ratio, which decreased from an average of 1.05% in 2019 to 0.78% in 2022. This situation can affect the company's ability to bear high risks, especially due to high premiums. Therefore, PT. Askrindo needs to take steps to increase capital and ensure efficient use of assets to strengthen its overall financial position. In conclusion, although PT. Askrindo has good liquidity performance, so the company needs to increase capital and improve its solvency ratio. This is expected to increase creditor and investor confidence and strengthen the company's ability to face future risks.
Abstract:Abstrak Project-Based Learning (PBL) merupakan pendekatan inovatif yang mampu meningkatkan kualitas pembelajaran Bahasa Inggris di sekolah dasar melalui aktivitas kolaboratif dan berbasis proyek. Namun, guru di SDN 15 Padang…
dang Genting masih mengalami kendala dalam menyusun modul ajar, Rencana Pelaksanaan Pembelajaran (RPP), serta mengimplementasikan pembelajaran berbasis proyek secara efektif. Kegiatan pengabdian kepada masyarakat ini bertujuan mengembangkan model pendampingan berbasis Project-Based Learning untuk meningkatkan kompetensi guru dalam pembelajaran Bahasa Inggris. Metode pelaksanaan meliputi analisis kebutuhan, pelatihan, pendampingan implementasi di kelas, praktik penyusunan perangkat pembelajaran, dan evaluasi reflektif. Hasil kegiatan menunjukkan bahwa model pendampingan yang diterapkan mampu meningkatkan kemampuan guru dalam menyusun modul ajar dan RPP berbasis proyek dengan capaian sebesar 89,3% pada kategori sangat baik. Selain itu, guru menjadi lebih aktif, kreatif, dan mampu melibatkan siswa dalam pembelajaran yang komunikatif dan kolaboratif. Dengan demikian, model pendampingan berbasis Project-Based Learning efektif dalam meningkatkan kualitas pembelajaran Bahasa Inggris di SDN 15 Padang Genting.
Project-Based Learning (PBL) is an innovative approach that can improve the quality of English language learning in elementary schools through collaborative and project-oriented activities. However, teachers at SDN 15 Padang Genting still face difficulties in developing teaching modules, lesson plans, and implementing project-based learning effectively. This community service activity aimed to develop a mentoring model based on Project-Based Learning to improve teachers’ competence in English language teaching. The methods used included needs analysis, teacher training, classroom mentoring, practical implementation of learning tools, and reflective evaluation. The stages of the activity consisted of identifying teachers’ needs, designing the mentoring model, conducting training sessions, assisting classroom implementation, and evaluating the outcomes. The results showed that the mentoring model improved teachers’ ability to develop project-based teaching modules and lesson plans, achieving a score of 89.3% in the very good category. In addition, teachers became more active and creative in engaging students in collaborative and communicative learning activities. Therefore, the Project-Based Learning mentoring model was effective in improving the quality of English language learning at SDN 15 Padang Genting.
Abstract:Psychological measurement tools are fundamental in sports psychology for assessing mental toughness, performance anxiety, motivation, and resilience in athletes. Despite increasing research in this field, a comprehensive…
bibliometric analysis of global trends, collaboration networks, and thematic developments remains limited. This study conducts a bibliometric analysis of 489 Scopus-indexed articles published between 1977 and 2025 to examine publication trends, key contributors, and thematic structures. Results indicate that the United States (32.5%), United Kingdom (15.8%), Germany (9.6%), and Canada (7.3%) are the leading contributors, with emerging research from Slovenia (2.1%) and Uruguay (1.7%). Institutional collaborations highlight strong interdisciplinary ties, particularly between the Center for Addictive Disorders and the Faculty of Medicine and Health. Co-authorship analysis identifies Nikos Ntoumanis (98 publications) and Jennifer Cumming (76 publications) as pivotal researchers, while citation network analysis highlights influential clusters led by Joan L. Duda (4,532 citations) and Andreas Ivarsson (3,215 citations). Bradford’s Law identifies Psychology of Sport and Exercise and Journal of Applied Sport Psychology as core journals. Thematic mapping reveals that mental toughness (18.4%) and resilience (14.7%) are dominant topics, while psychometrics (6.3%) and competitive anxiety (5.1%) remain underexplored. These findings provide strategic insights for enhancing global research collaboration, bridging psychological theory and practice, and guiding future research directions in sports psychology.
Abstract:This study aims to analyze the effect of Debt to Asset Ratio (DAR) and Long Term Debt to Equity Ratio (LTDTER) on Return on Investment (ROI) at PT Semen Indonesia (Persero) Tbk during the period 2016–2023. The method used…
sed is descriptive associative with a quantitative approach, using secondary data in the form of the company's quarterly financial reports obtained through purposive sampling techniques. The analytical tools used include Pearson Product Moment correlation analysis, coefficient of determination (R²), t-test and F-test, and multiple linear regression. The results of the study show that DAR has a negative correlation with ROI of -0.607, while LTDTER also shows a negative correlation of -0.478, both of which are included in the weak relationship category. The coefficient of determination value of 50.4% indicates that half of the variation in ROI can be explained by the two independent variables, while the remaining 49.6% is influenced by other factors outside the study. The F test shows that DAR and LTDTER simultaneously have a significant effect on ROI. This finding confirms that a high debt-based capital structure has a negative impact on investment returns, making it important for financial management to consider the efficiency of long-term debt use and total debt in long-term financial strategies.
Abstract:Kanker payudara merupakan salah satu jenis kanker yang paling umum ditemukan pada wanita dan menjadi penyebab utama kematian akibat kanker di seluruh dunia. Ketepatan dalam diagnosis kanker payudara menjadi sangat krusial…
l untuk penanganan yang tepat. Penelitian ini bertujuan untuk membandingkan performa algoritma Naive Bayes dan Random Forest dalam mengklasifikasikan kanker payudara menggunakan dataset Breast Cancer Wisconsin. Metodologi penelitian dimulai dengan pengumpulan data dari dataset Breast Cancer Wisconsin yang terdiri dari 569 sampel dengan 32 atribut. Proses preprocessing data meliputi konversi data dari format nominal ke binominal untuk atribut diagnosis. Implementasi algoritma menggunakan tools RapidMiner dengan pendekatan cross validation (k=10) untuk evaluasi model yang lebih robust. Performa kedua algoritma dibandingkan menggunakan berbagai metrik evaluasi termasuk accuracy, precision, recall, dan analisis confusion matrix. Hasil penelitian menunjukkan bahwa algoritma Random Forest memberikan performa yang lebih unggul dengan tingkat akurasi 94,91% (±5,06%), precision 95,33%, dan recall 93,90%. Sementara itu, Naive Bayes mencapai akurasi 93,51% (±5,30%), precision 93,68%, dan recall 92,67%. Random Forest juga menunjukkan keunggulan dalam mengurangi false positive, dengan hanya 8 kasus dibandingkan 15 kasus pada Naive Bayes. Analisis confusion matrix menunjukkan bahwa kedua algoritma memiliki kemampuan yang baik dalam mengklasifikasikan kasus kanker payudara, meskipun Random Forest menunjukkan performa yang lebih stabil dan akurat. Kesimpulan dari penelitian ini menunjukkan bahwa kedua algoritma efektif untuk klasifikasi kanker payudara, dengan Random Forest menunjukkan keunggulan dalam hal akurasi dan presisi. Hasil ini dapat menjadi pertimbangan dalam pengembangan sistem pendukung keputusan untuk diagnosis kanker payudara, dimana Random Forest dapat menjadi pilihan utama ketika akurasi menjadi prioritas, sementara Naive Bayes tetap menjadi alternatif yang valid ketika kesederhanaan implementasi dan efisiensi komputasi diperlukan.