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Delivery delays pose a major challenge in the e-commerce industry, often leading to decreased customer satisfaction and negatively impacting business operations. In this study, the XGBoost (Extreme Gradient Boosting) algorithm is applied to predict delivery delays based on a dataset containing 96,476 records. These records include various features relevant to the delivery process, such as shipping distance, carrier performance, and order characteristics. The model achieves a high overall accuracy of 93.24%, indicating strong general performance. In particular, XGBoost demonstrates excellent results in predicting on-time deliveries, achieving a precision of 93% and a recall of 100%. However, the model struggles to correctly identify delayed deliveries. The recall for delayed deliveries is 0%, and the F1-score is extremely low at 0.01. This significant discrepancy reveals a critical limitation in the model's performance — the inability to detect minority class cases (delayed deliveries) due to class imbalance within the dataset. The results highlight the importance of addressing data imbalance in predictive modeling for delivery outcomes. When the dataset is dominated by on-time delivery records, the model tends to be biased toward that class, failing to learn the patterns associated with delays. To improve performance, the study recommends integrating class balancing techniques such as SMOTE (Synthetic Minority Oversampling Technique) to generate synthetic samples of the minority class. Additionally, the use of alternative evaluation metrics beyond accuracy — such as precision, recall, and F1-score for each class — is suggested to provide a more comprehensive understanding of model effectiveness. Overall, the study provides valuable insights into the complexities of predicting delivery delays and outlines practical strategies for enhancing future models in e-commerce logistics analytics.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

Indonesia is prone to natural disasters because it is located at the confluence of three active tectonic plates. This condition causes high earthquake, volcano, and tsunami activity in Indonesia. Mount Kelud is the most active volcano in Indonesia with cycles that recur every 8 to 15 years. The community service method carried out is to collect data on the area, population, targets, capacity, vulnerability level, and empirical data on the 2014 eruption of Mount Kelud. Then conduct analysis, calculate estimates of health logistics needs, especially reproductive health, socialize the results of the analysis, and conduct disaster preparedness education. This activity was carried out for 6 weeks from March 12 to April 21, 2025. Based on the results of the risk assessment, the Ngancar District, Kediri Regency area has a score of frequent risk scale, severe impact scale, and priority and impact scale in the high category. To overcome the health crisis, a contingency plan is needed, especially for the reproductive health sub-cluster, which includes the preparedness of target data, existing capacity in the region, the level of vulnerability, and the estimated amount of health logistics needed to anticipate the eruption of Mount Kelud. Mount Kelud has a periodic eruption pattern in 8 to 15 years. The contingency plan for dealing with the health crisis of the eruption of Mount Kelud is very important for health service stakeholders because it can minimize the adverse impacts caused, increase rapid response, and ensure smooth coordination between related institutions in dealing with the natural disaster effectively and efficiently. It also supports disaster risk reduction efforts at the community level and strengthens the resilience of local communities.

This study aims to describe students' critical thinking skills in solving numeracy literacy problems by considering their mathematical dispositions. Critical thinking skills are an important competency in 21st-century learning because they play a significant role in understanding concepts, analyzing information, and solving problems with a logical and systematic approach. Numeracy literacy, as part of basic mathematical competencies, requires students not only to be able to calculate but also to understand the context and apply mathematical concepts in real life. In this context, mathematical disposition—which includes self-confidence in mathematics, persistence in solving problems, and curiosity—is seen as a factor that influences students' critical thinking skills. This study used a descriptive qualitative approach with student subjects selected based on high, medium, and low mathematical disposition categories. The instruments used consisted of a numeracy literacy test and a semi-structured interview guide. Data were collected through completing a mathematical disposition questionnaire, working on numeracy literacy problems, and in-depth interviews with selected subjects. Data analysis techniques included data reduction, data presentation, and inductive conclusion drawing. The results of the study indicate that students with a high mathematical disposition tend to have more developed critical thinking skills. They are able to analyze problems in depth, evaluate relevant information, and draw logical and structured conclusions. Conversely, students with medium and low dispositions tend to have limited critical thinking skills, particularly in the aspects of evaluation and conclusion drawing. This finding emphasizes the importance of strengthening mathematical dispositions as an integral part of learning strategies to improve students' critical thinking skills in the context of numeracy literacy.

 Matra Health is a form of health service specifically designed to maintain and improve public health in dynamic, complex, and constantly changing environmental conditions. This service plays a very vital role, especially in facing and handling various types of disasters, both natural disasters such as earthquakes, floods, and landslides, as well as non-natural disasters such as residential fires. One form of non-natural disaster that often occurs in densely populated areas is residential fires. This is caused by various factors such as unsafe electrical installations, a lack of public awareness of the dangers of fire, and buildings that are not resistant to heat or fire. Residential fires not only cause physical damage to buildings and infrastructure, but also cause various health problems, ranging from burns, respiratory problems due to smoke exposure, to psychological trauma, especially in vulnerable groups such as children, the elderly, and pregnant women. In response to these conditions, a dimensional health intervention activity was carried out from June 23 to 26, 2025 in areas affected by the fires under the coordination of the South Sumatra Regional Crisis Center. This activity aims to reduce health risk factors that arise after the fires through a series of actions such as multi-sector health surveillance, public health education, and distribution of logistical assistance. The activity also includes conducting rapid assessments using the Rapid Health Assessment (RHA) method, providing education on fire impact prevention, and distributing supplementary food to vulnerable groups. The results of the activity showed a significant increase in public understanding of the dangers of fire and the importance of preparedness for its impacts. Furthermore, the need to strengthen cross-sectoral coordination, such as health, disaster management, and social sectors, in disaster management was identified. It is hoped that this activity can serve as a model for strengthening community-based emergency response systems.

The use of office stationery (ATK) plays an important role in supporting the smooth operation and administrative activities of government agencies, particularly the Financial and Development Supervisory Agency (BPKP). As an institution whose primary function is to supervise and evaluate state financial management, BPKP requires adequate logistical support to ensure optimal implementation of its duties. One form of such support is the availability of sufficient, timely, and appropriate ATK. Common problems often encountered in ATK management are overstock, which is excess inventory that leads to wasted budget and storage space, and stockout, which is a shortage of inventory that can hinder work activities. This study aims to control ATK inventory by applying the Min-Max Stock method. This method helps in determining the minimum and maximum inventory limits for each type of ATK, so that procurement of goods can be carried out in a planned and efficient manner. With this approach, agencies can maintain a balance between availability of goods and efficient use of the budget. The results of the study indicate that the application of the Min-Max Stock method in the BPKP environment produces more rational inventory figures. For the type of HVS paper F4 size ATK, the minimum and maximum values are set at 12 reams. Meanwhile, for A4-sized HVS paper, the minimum and maximum values are 72 reams and 98 reams, respectively. For printer ink, the ideal minimum and maximum quantities are 74 and 92 bottles. Meanwhile, BPKP logo folders have a minimum value of 240 sheets and a maximum of 325 sheets. The implementation of this method has a positive impact on the efficiency of the procurement and control process of stationery at BPKP.

This research focuses on the development of an Android-based vegetable detection application by utilizing digital image processing technology and data communication through Application Programming Interface (API). This application is designed to make it easier for users to visually recognize different types of vegetables using the device's camera. The detection process is carried out by sending the image to a cloud server, where the image analysis process is carried out to identify the type of vegetable, displaying its name, characteristics, and benefits. The app's implementation includes an intuitive and user-friendly user interface, with key features such as login, registration, and an interactive dashboard. The dashboard displays user information, location, ambient temperature, vegetable detection history, and direct access to the camera for real-time detection processes. The utilization of cloud computing technology not only keeps application performance lightweight and responsive, but also enables high processing efficiency and data scalability. This allows the application to continue to evolve according to the increasing number of users and incoming data. Image processing is done with machine learning algorithms that are trained to recognize the shape, color, and texture of different types of local vegetables. In addition, this system is also equipped with a periodic data update feature to be able to adjust to the development of new vegetable classifications. The test results show that the app is able to recognize different types of vegetables with a high level of accuracy, as well as provide additional relevant information quickly and accurately. Tests are carried out on a variety of lighting and background conditions to ensure the reliability of the system. The success of the development of this application reflects the integration of modern technology in supporting the digital agriculture sector.

This article examines four essential elements of scientific writing: paragraphs, citations, bibliographies, and footnotes. These four elements play a vital role in ensuring the quality and integrity of academic writing. The primary objective of this study is to provide a comprehensive understanding of the definition, function, and application of these four elements within the context of correct and effective academic writing. This study is highly relevant given the crucial role of scientific writing in education, particularly for students writing scientific papers such as theses, dissertations, and journal articles. This study employed a qualitative descriptive approach through a literature review, conducted from July to August 2025. In this study, the authors analyzed various academic sources consisting of national and international publications to gain a deeper understanding of these four elements. This approach enabled the authors to observe how paragraphs, citations, bibliographies, and footnotes are widely used in various types of scientific works. The results of the study indicate that each element of scientific writing plays a crucial role. Paragraphs, for example, serve to organize ideas logically, allowing readers to easily follow the flow of the argument. Citations, on the other hand, serve to strengthen the author's argument by referencing valid sources, thereby enhancing the credibility of the writing. A bibliography is crucial for demonstrating scientific honesty, as it lists the sources used in research or writing. Footnotes, on the other hand, serve as additional explanations, providing further information without disrupting the main flow of the paper. However, this study also found that students still make numerous technical errors in their citations and references. These errors include inappropriate citation formatting, unclear use of sources, and errors in the bibliography. These errors can diminish the academic quality of the paper and undermine readers' confidence in the validity of the arguments presented.  

The development of information and communication technology has changed the global trade landscape, including in Indonesia. The city of Pekanbaru as the capital of Riau Province has great potential in the development of e-commerce that is integrated with the concept of a smart city. This research aims to analyze the optimization of e-commerce through the implementation of the smart city concept in Pekanbaru. Using a qualitative approach and secondary data analysis, this study examines technological infrastructure, government policies, and community participation in supporting the e-commerce ecosystem. The results show that the implementation of the smart city concept can improve the effectiveness of e-commerce platforms through improved digital connectivity, integrated payment systems, and more efficient logistics services. The adoption of technologies such as big data, Internet of Things (IoT), and geographic information systems (GIS) also supports more responsive decision-making, both by business actors and government agencies. In addition, the involvement of local MSMEs is an important component in expanding the adoption of e-commerce in an inclusive and equitable manner throughout the city. This research also highlights the importance of digital literacy among the public, including micro business actors, to optimize the use of digital technology in business transactions. The local government is expected to strengthen regulations, provide supporting infrastructure, and open cross-sector collaboration to accelerate digital transformation in Pekanbaru. A sustainable education strategy for the community is also needed through training, digital socialization, and technical support so that all levels of society can actively participate in the digital ecosystem. Thus, synergy between the government, business actors, academics, and the community is the main key in creating an adaptive, efficient, and sustainable digital ecosystem, as well as making Pekanbaru a smart city that excels in the field of electronic commerce.

Urban logistics is a significant source of carbon emissions in Indonesia, and effective decarbonization strategies are required. EVs offer a promising solution, but their impact requires quantitative evaluation within the local context. This study analyzes the effect of adopting an electric van fleet on total well-to-wheel carbon emissions within an urban distribution network in Indonesia. This study employs a comparative case study method. A baseline scenario consisting of 25 diesel vans is compared to an intervention scenario where electric vans replace the entire fleet. The emission analysis was conducted using the WtW framework, utilizing specific emission factors for diesel fuel from the IPCC (2006) and the Java-Madura-Bali (JAMALI) grid emission factor from IESR (2023) to ensure contextual relevance. The transition to an electric fleet successfully reduces the total well-to-wheel carbon footprint by 13.63%. This reduction is equivalent to an absolute CO2 emission decrease of nearly 3 tons of CO₂ per month. Nevertheless, indirect emissions from electricity generation still contribute a significant carbon footprint, indicating that the national energy mix is highly dependent on the environmental benefits of EVs. This study concludes that fleet electrification is a viable and effective decarbonization strategy for Indonesia’s logistics sector, even with the current state of the electricity grid. However, fleet decarbonization efforts must run in parallel with policies for a national transition toward renewable energy to maximize the emission reduction potential of electric mobility. Future research should include the total cost of ownership (TCO) and life cycle assessment (LCA) for a more holistic evaluation.

Penyakit jantung merupakan salah satu penyakit dengan angka kematian tertinggi di negara maju bahkan dunia. Penyakit jantung dapat mengancam jiwa jika tidak ditangani dengan serius. Jumlah penderita penyakit jantung meningkat setiap tahunnya. Penyakit jantung dapat disebabkan oleh beberapa faktor, yang utama adalah konsumsi alkohol berlebihan, kebiasaan merokok, dan faktor keturunan. Penelitian ini bertujuan untuk memprediksi dan mencegah penyakit jantung sejak dini menggunakan algoritma pembelajaran mesin, yaitu regresi logistik. Data yang digunakan untuk pelatihan dan pengujian algoritma regresi logistik sebanyak 1.190 data, yang terbagi menjadi 80% data pelatihan dan 20% data pengujian. Hasil pengujian menunjukkan bahwa model dapat memprediksi dengan akurasi sebesar 86%. Setelah model dibuat, model tersebut diimplementasikan ke dalam situs web. Penelitian ini diharapkan dapat berkontribusi pada diagnostik yang dapat membantu deteksi dini penyakit jantung.

Awareness of environmental health is an important factor in maintaining community welfare, especially in developing urban areas. The city of Medan, as one of the major cities in Indonesia, still faces various environmental problems such as poor sanitation, garbage accumulation, and water pollution, which have an impact on public health. This study aims to analyze the factors that affect the level of public awareness of environmental health in the city of Medan. This study uses a quantitative design with a cross-sectional approach. Data were collected from 100 randomly selected respondents using a structured questionnaire, which measures people's level of awareness of environmental health and various factors that influence it, such as education level, media exposure, and economic status. Data analysis was carried out univariately, bivariately with Chi-square test, and multivariate using logistic regression to determine the relationship between independent variables and the level of public awareness. The results of the study show that factors such as education level, media exposure, and economic status have a significant influence on the level of public awareness. People with higher levels of education, better media exposure, and better economic status tend to have higher awareness of environmental health issues. The implications of these findings suggest that improving environmental education and more effective dissemination of information can be an important effort in raising public awareness. Community-based programs that focus on education and strengthening environmental information can be a strategic step in overcoming environmental problems in urban areas. The results of this research are expected to be a reference for the formulation of more effective policies and programs in increasing environmental awareness in urban communities.

Blockchain logistics represents the integration of blockchain technology into the logistics sector, aiming to enhance efficiency, transparency, and security across supply chain processes. From an Islamic economics perspective, digital transformation must align with core values such as justice, transparency, and honesty to support the development of fair and sustainable logistics systems. The decentralized nature of blockchain offers promising solutions for building supply chains rooted in Islamic ethical principles. This study conducts a bibliometric analysis to examine the development and research trends of blockchain logistics within the context of Islamic economics. Using VOSviewer software, relevant scientific publications were analyzed based on bibliographic data sourced from reputable academic databases. Bibliometric parameters—such as the maximum number of authors per document and the minimum number of documents per author—were applied to identify key contributors and dominant research themes. The bibliometric mapping reveals the growth trajectory of blockchain logistics research framed by Islamic values. The visualization highlights research clusters, prominent authors, co-authorship networks, and publication trends that illustrate the evolution and scholarly interest in this interdisciplinary area. Emerging themes suggest a convergence between blockchain-driven logistics innovation and ethical economic practices advocated in Islamic teachings. The findings provide a comprehensive overview of the current landscape and collaboration opportunities in blockchain logistics research through an Islamic lens. This study contributes to the strategic positioning of future research by identifying gaps, potential synergies, and critical areas for development. Ultimately, it offers a foundational reference for scholars seeking to explore the integration of Islamic ethical principles within the advancement of blockchain-enabled logistics systems.

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

The reciprocal tariff policy has a significant impact on a number of countries, including Indonesia. In this scheme, Indonesian non-oil and gas products are subject to a tariff of 32% when entering the US market. Such a high tariff places Indonesian exporters in a less competitive position compared to other countries that have more favorable trade arrangements with the United States. This condition becomes more complex when viewed in the broader context of the US-EU trade war, which creates uncertainty and turbulence in the global economy. Indonesian exports are affected both directly and indirectly. Indirect impacts can be seen from disruptions to the global supply chain, the slowdown in the world economy, and decreased global demand. As global production networks become increasingly interconnected, any disruption in major economies will ultimately suppress demand for Indonesian export commodities. This means that even if Indonesian products are not directly targeted, the ripple effects of global trade tensions will still hinder Indonesia’s export performance. For instance, reduced consumption in Europe and the US due to rising product prices and inflation will diminish market opportunities for Indonesian goods.On the other hand, direct impacts arise because several Indonesian products have been explicitly subjected to tariffs by the US government. These include textiles and textile products (TPT), electronics and their components, footwear, furniture, and palm oil (crude palm oil/CPO). Such tariffs significantly reduce Indonesia’s competitiveness in the US market, potentially leading to decreased export volumes, lower revenues for domestic industries, and job losses in export-oriented sectors. Furthermore, the policy also makes European products much more expensive in the US market, which worsens the global supply chain, increases logistics costs, triggers inflation, and escalates uncertainty in international trade.

This study aims to develop interactive learning media for logic gate material in Industrial Electronics Engineering subjects at SMK Negeri 5 Batam by utilizing Adobe Flash CS6 integrated with CircuitVerse. This media is designed to provide a more interesting, interactive, and applicable learning experience, so it is expected to improve students' understanding of the concept of logic gates which is a basic material in the field of electronics. The study uses a Research and Development (R&D) approach with a 4D development model that includes the Define, Design, Develop, and Disseminate stages. Research data were collected through validation by material experts and media experts, as well as practicality tests involving students. Data collection instruments were in the form of validation sheets and student response questionnaires. The validation results showed that the developed learning media obtained a score of 88.20% from material experts and 93.88% from media experts, both of which are in the "very valid" category. The practicality test involving grade XI students obtained a score of 92.80%, indicating that the media is "very practical" to use in the learning process. This interactive media combines elements of text, images, animation, and digital circuit simulations using CircuitVerse, so students can learn logic gate concepts visually and directly practice them virtually. This integration not only makes it easier for students to understand the theory but also trains problem-solving and critical thinking skills. The findings of this study indicate that interactive learning media based on Adobe Flash CS6 and CircuitVerse has great potential to increase learning motivation, student engagement, and conceptual understanding of logic gate material. This media is also relevant to support the implementation of the Independent Curriculum, which emphasizes project-based learning, independent learning, and complete competency mastery.  

Improving the accuracy of emission monitoring in the Continuous Emission Monitoring System (CEMS) is crucial to support compliance with environmental regulations, especially in gas and steam-based power plants (PLTGU). At PT Jawa Satu Power's PLTGU, the purging system on the CEMS sample probe is still performed manually and limited to scheduled preventive maintenance, potentially reducing emission data reliability due to particle contamination. This study aims to design and simulate an automatic purging system based on a Programmable Logic Controller (PLC), taking into account technical parameters such as timer, gas pressure, temperature, and sample flow rate. The system design was carried out through the modeling of automatic control logic using CX-Programmer software, with a protection approach based on real-time conditions and timing. The design results show that the automatic purging system can improve cleaning consistency, reduce the risk of contamination, and enhance the integrity of emission monitoring data. This study is expected to serve as a foundation for developing a more applicable and integrated automated purging system for CEMS in the future.

This training activity on application development using the Thunkable platform was designed to enhance digital literacy, logical thinking skills, and strengthen the character of adolescents through a Project-Based Learning (PjBL) approach. In today’s digital age, digital literacy is an essential competency, and equipping young people with the ability to create meaningful technology empowers them to be not just users but also creators of impactful digital solutions. The training took place on May 17, 2025, at a member’s house from the GKI Kasih congregation in Perumnas, Sorong. It was attended by 20 participants aged between 12 and 17 years. The choice of a familiar and friendly setting was intended to create a comfortable and collaborative learning environment. The training materials were structured step-by-step, starting with an introduction to the Thunkable platform, user interface (UI) design, navigation logic development using visual block programming, and culminating in group presentations and reflections on the final projects. The project theme chosen for the training was "Prophets as Role Models," aimed at integrating spiritual values and character development into an educational digital application. Through this project, participants not only gained technical skills but also reflected on the moral and inspirational values of prophetic figures in the Christian faith. Evaluation results showed that the training had a significant positive impact. Participants demonstrated increased understanding of app development concepts, were able to explain their project workflows and features, and showed high levels of enthusiasm and creativity throughout the process. Furthermore, character values such as teamwork, responsibility, and a strong learning spirit were fostered. This initiative serves as a concrete example of how technology-based education can be effectively combined with character formation. It also provides a replicable training model for other communities, particularly for church-based youth development programs that aim to nurture digitally literate and morally grounded future generations.

In recent years, rapid advancements in digital technology have significantly transformed global healthcare delivery. The COVID-19 pandemic acted as a catalyst, accelerating the integration of information technology into healthcare systems, particularly through the increased adoption of telemedicine. In the field of internal medicine, which often involves long-term care and management of chronic illnesses, telemedicine presents a promising solution to enhance service accessibility, improve care efficiency, and sustain favorable clinical outcomes. This study aims to conduct a narrative review to explore the impact of telemedicine on patient clinical outcomes, healthcare worker workload, and healthcare system efficiency within internal medicine practice. The review is based on an analysis of peer-reviewed literature published between 2020 and 2025, sourced from major databases including PubMed, Scopus, and Web of Science. Article selection was based on relevance to the topics of telemedicine and internal medicine, contextual applicability, and full-text availability. The findings of the review reveal that telemedicine contributes positively by expanding access to care, reducing travel time and logistical barriers for patients, accelerating clinical response times, and decreasing patient congestion in healthcare facilities. These outcomes are particularly beneficial for patients with chronic conditions who require regular monitoring and consistent communication with healthcare providers. However, the implementation of telemedicine also introduces new challenges, including increased administrative responsibilities and digital workload for healthcare professionals. The study underscores the importance of equipping healthcare systems with adequate digital infrastructure, implementing supportive and flexible policies, and providing comprehensive training for healthcare workers. These measures are crucial to ensure the successful and sustainable adoption of telemedicine in internal medicine. Overall, telemedicine holds strong potential to reshape the future of internal medicine, provided that its integration is strategically managed to balance technological advancement with human-centered care.

Giving breast milk (ASI) exclusively during the first six months of a baby's life is very important in supporting the baby's growth and development and body resilience. However, the practice of giving formula milk is still quite high and is a challenge in fulfilling exclusive breastfeeding. This study aims to determine the determining factors for giving formula milk to babies aged 0-6 months in the work environment UPT Primary Health Care Pujon. This research design uses a descriptive analytical approach with a cross-sectional method to identify factors associated with exclusive breastfeeding. The research population was all mothers who had babies with a sample of 52 respondents obtained through total sampling. Data analysis was carried out using the Chi-Square test and logistic regression to determine the most dominant factors. The research results showed that all variables had a p value > 0.05, namely age (p=0.274), education (p=0.156), occupation (p=0.384), parity (p=0.280) and socio-culture (p=0.711), so there was no significant relationship between these variables and exclusive breastfeeding. The logistic regression model was also not significant (p=0.308), indicating that there were no dominant factors influencing the practice of exclusive breastfeeding among respondents. Thus, the low coverage of exclusive breastfeeding in this study may be influenced by other factors outside the variables studied.