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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.

In perceiving the quality of service, satisfaction, or image, a person would base the perception on the values felt by the patients. The research aimed at analyzing the influence of service quality on the reuse of inpatient services at Hospital X. This was an analitic survey research with the cross sectional study design. Responden taken as samples were as many as 120 people. Data collected through an interview, questionnaire, and documentation. Data were analyzed using the descriptive statistics analysis namely calculating the average, percentage, frequency tables and inferential statistics through the Chi-square test, multivariate analysis through the multiple logistic regression analysis. The research result indicates that the influence of service quality with the inpatient reutilization in general hospital X was significant, that is service quality of administration (p = 0,032), service quality of doctors (p = 0,001), service quality of nurses (p = 0,000), service quality of pharmacist (p = 0,000), service quality of instruments (p = 0,020), and quality service of treatment rooms (p = 0,009). The variable of the nurses service quality and pharmacist’s quality are the most influential variables on quality service with the inpatient reutilization.

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.

This study focuses on the development and implementation of “Pasar Kita,” a web-based marketplace system designed to facilitate digital transactions for traditional market sellers and consumers. The system was developed using PHP as the backend programming language and MySQL as the database management system. The purpose of this project is to address the digital gap experienced by traditional market vendors who have limited access to modern e-commerce platforms. The research includes a needs analysis, system design using UML diagrams, implementation of main features such as registration, login, product management, transactions, checkout, and order tracking, followed by system testing. The results show that all major functions operate properly, including user authentication, product uploads, order processing, and payment simulations via transfer or cash-on-delivery (COD). System testing indicates that the platform meets usability, functional, and responsiveness criteria. The findings highlight the system’s capability to support local economic digitalization by providing an accessible and user-friendly marketplace for traditional market vendors and consumers.

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 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.

The study of eschatology and logic in Islam represents a significant and intellectually rich area within the broader discourse of ʿAqidah (Islamic creed) and Islamic philosophy. Eschatology, derived from the Greek word eschatos meaning "last," concerns matters of the afterlife, including death, the apocalypse (al-Sāʿah), resurrection (al-Baʿth), judgment (al-Ḥisāb), heaven (Jannah), and hell (Jahannam). These concepts are elaborated extensively in both the Qur'an and the prophetic traditions (ḥadīth). Meanwhile, logic in Islam is not merely a philosophical exercise but serves as an epistemological framework for interpreting divine revelation and deducing legal and theological principles. Islamic logic (al-manṭiq) is rooted in both Greek logical tradition—particularly Aristotelian logic—as well as unique Islamic methodologies that integrate rationality with scriptural fidelity. This research aims to analyze selected verses and prophetic traditions related to eschatology and logic, with the objective of understanding not only their linguistic and theological meanings but also their practical implications for human belief systems and ethical behavior. The study employs an interpretive and analytical method (manhaj taḥlīlī wa tafsīrī), focusing on exegesis (tafsīr) of Qur’anic verses QS. Al-A'raf: 187–188 and QS. Al-An'am: 30, as well as relevant ḥadīths concerning eschatological events and rational thought. These verses were selected due to their direct references to the knowledge of the Hour (ʿilm al-sāʿah) and the human tendency to demand evidence while rejecting spiritual truth. The findings indicate that Islamic eschatology is framed not around speculative prediction but rather spiritual and moral readiness. The Qur'an clearly asserts that knowledge of the exact time of the Day of Judgment belongs solely to Allah (QS. Al-A’raf: 187), highlighting the limitations of human knowledge and emphasizing submission to divine wisdom.

Relations in mathematics are a fundamental concept that describe the connection between two sets. This concept is crucial because it forms the foundation for understanding functions and various other mathematical topics. In everyday life, relations can be found in numerous real-world situations, such as the relationship between teachers and their students, sellers and buyers, or students and their exam scores. By understanding relations, students can see how elements from one set are linked to elements in another set based on specific rules. Unfortunately, many students still find it difficult to grasp the concept of relations because it is often taught in an abstract way, filled with mathematical symbols that are not connected to their real-life experiences. As a result, students may feel that the topic is irrelevant to their lives, leading to a lack of interest and poor comprehension. In fact, if taught contextually and practically, the concept of relations can serve as a key bridge to help students understand functions and their relevance in the real world. This article aims to explain the concept of relations through a more practical and relatable approach. For example, it can be illustrated by connecting students' names with their attendance numbers, or linking foods with their nutritional contents. Through these examples, students can see that relations are not just rigid parts of a math lesson but also reflect meaningful connections in everyday life. In this way, it is expected that students will gain a more comprehensive understanding of relations—not only mathematically but also in terms of practical application and functionality. A solid understanding of relations will make it easier for students to learn advanced concepts such as functions, mappings, and mathematical logic. Therefore, a learning approach that emphasizes contextual understanding is essential, so that students are not merely memorizing formulas but are also capable of applying the concept of relations in real-world situations.

Financial statement restatements often negatively impact investor perceptions and a company's market value. Previous studies have shown that companies conducting restatements experience significant share price declines, with an average decline of 20% following the announcement. This phenomenon reflects investors' high sensitivity to negative information related to the reliability of financial statements and suggests that a company's reputation can be damaged quickly. Financial statement restatements are generally associated with material errors or manipulation of financial information, and are therefore often linked to indications of fraud or deception in prior financial reporting. This study aims to analyze the factors influencing financial statement restatements and their impact on firm value, focusing on infrastructure companies listed on the Indonesia Stock Exchange (IDX) from 2021 to 2023. The research method used is a quantitative approach with secondary data obtained from financial statements and official company publications. The analysis was conducted using logistic regression to examine the influence of fraud factors (pressure, opportunity, and rationalization) on restatements, and linear regression to assess the impact of restatements on firm value. The results of the study indicate that of the three main factors of fraud, only rationalization significantly influences financial statement restatements. Meanwhile, pressure and opportunity do not show significant effects. Furthermore, financial statement restatements were not shown to significantly impact the value of companies in the infrastructure sector during the study period. These findings provide important insights for stakeholders in understanding financial reporting risks and the urgency of strengthening ethics and internal controls in companies.

This study aims to explore the strategic role of e-commerce in increasing the export of handicraft products by Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, with a case study on CV. Palm Craft in Kediri. In the context of globalization and digitalization, e-commerce is an important means for MSMEs to reach the international market, especially in the midst of the challenges of the COVID-19 pandemic that limit conventional export activities. This study uses a descriptive qualitative approach with data collection techniques through observation, in-depth interviews, and documentation. The main focus of this study is how CV. Palem Craft utilizes various digital platforms such as social media (Instagram, Facebook), marketplaces (Tokopedia, Shopee), and global platforms (Amazon, Etsy) to expand market access, build product branding, and increase the selling value of local handicrafts. The results of the study show that the strategic use of e-commerce has helped companies overcome export barriers such as limited distribution networks, logistics constraints, and lack of international promotion. In addition, e-commerce also allows CVs. Palem Craft to build direct relationships with global consumers, get faster feedback, and make product adjustments according to market needs. This research also identifies supporting factors such as digital literacy, product quality, and production capacity as crucial aspects in the success of e-commerce strategies.  The implications of this study provide relevant insights for other MSMEs that want to develop exports through the use of digital technology. Continuous support from the government and related institutions is needed in terms of training, access to capital, and digital export facilitation so that Indonesian MSMEs can compete in the global market in a sustainable manner.  

This study aims to determine the influence of students' learning habits on learning outcomes in Mathematics subjects in grade IV students of SD Negeri 200307 Padang Sidempuan. The background of this research is the importance of the role of structured and consistent learning habits in supporting the achievement of optimal learning outcomes, especially in logical and analytical subjects such as Mathematics. This study uses a quantitative approach with a descriptive survey method to obtain an objective picture of the relationship between variables. The population in this study is all grade IV students, and the sampling technique was carried out by purposive sampling, with a sample of 26 students selected based on certain criteria. Data collection was carried out through an instrument in the form of a Likert scale questionnaire as many as 60 previously validated statements, in order to measure the level of students' learning habits. Meanwhile, student learning outcome data is obtained from their academic scores in Mathematics subjects. Data analysis was carried out using a parametric statistical test in the form of a t-test to test the proposed hypothesis. The test results showed that the tcount value of 1.909 was greater than the ttable of 1.695, which means that there was a significant influence between students' learning habits on Mathematics learning outcomes. Thus, it can be concluded that good study habits make a real contribution to improving student learning outcomes. These findings are an important basis for teachers and schools to continue to encourage and foster positive learning habits among students. The implications of this study also recommend the need to strengthen independent learning strategies and effective study time management as part of the learning program in elementary schools.  

Digital transformation in government bureaucracy has become a strategic step to improve efficiency, accountability, and transparency, including in the management of regional legal products. In the Regional Secretariat of Tegal Regency, the process of submitting legal products is still done manually, which causes inefficiencies, delays, and a lack of document traceability. To address these issues, a web-based legal product submission application has been developed with document tracking features. This research uses the Waterfall system development method, and implements a FIFO (First In First Out) queuing system in the submission process, along with Role-Based Access Control (RBAC) for managing user access rights. The goal of this system is to create a faster, more transparent, and digitally documented application process. The implementation results show that the application is able to systematically and integratively manage the flow of submissions, corrections, verification, and the ratification of legal products. Features such as a Login page with CAPTCHA, analysis dashboards, tracking, and monthly reports enhance the monitoring and security functions of the system. This application can be an effective solution in supporting the digitization of regional legal bureaucracy, as well as providing ease and efficiency for regional officials in preparing and submitting drafts of legal products digitally.

This study aims to improve the critical thinking skills of fourth-grade elementary school students in understanding the concept of fractions through the application of the Problem Based Learning (PBL) model. The background of this study focuses on students' still low abilities in: (1) analyzing mathematical problems; (2) planning solution strategies; (3) drawing logical conclusions when working on fraction problems. This study uses the Classroom Action Research (CAR) design model Kemmis & McTaggart which was implemented at SD Negeri 2 Tahunan during the even semester of the 2024/2025 academic year. The research subjects consisted of 23 fourth-grade students who were selected purposively based on the results of the initial diagnosis. Data collection techniques were carried out by triangulation through: (1) formative evaluation tests; (2) participatory observation sheets; (3) learning video documentation; and (4) field notes. Data were analyzed quantitatively and qualitatively with a comparative descriptive approach. The results showed that the application of the PBL model was proven to be effective in improving: (1) students' critical thinking skills on average from 39.13 (low category) to 92.61 (very good category); (2) classical completeness from 8.7% to 91.3%; and (3) learning activities became more meaningful. Statistical analysis of paired sample t-test showed a significant difference (t=19.09; p<0.05) between before and after treatment. Other important findings include: (1) an increase in students' questioning skills by 78%; (2) an increase in the ability to provide arguments by 82%; (3) an increase in problem-solving skills by 85%. In addition, there was an increase in the following aspects: (1) group cooperation; (2) self-confidence; and (3) active involvement in class discussions.

This research focuses on exploring the mathematical reasoning abilities of Madrasah Aliyah students in solving problems that integrate mathematical concepts with the Islamic science of faraidh (inheritance law), specifically within the topic of fractions. The study employs a qualitative approach with a case study design and was conducted among 11th-grade students enrolled in the Religious Program at MA Raudlatul Ulum Putri. Data collection techniques included written tests, semi-structured interviews, and classroom observations, focusing on three selected students who represented high, moderate, and low levels of mathematical ability. The analysis centers on several key indicators of mathematical reasoning: identifying problems, formulating hypotheses, presenting logical arguments, and drawing conclusions. The results show that most students fall into the moderate reasoning category, while a smaller number are categorized as high or low. Students in the high category demonstrate a strong capacity to approach problems systematically and accurately, combining mathematical logic with a proper understanding of Sharia-based inheritance rules. In contrast, students in the low category struggle with interpreting problem contexts and executing fraction calculations correctly, which indicates gaps in both conceptual understanding and application skills. These findings underscore the importance of contextual and integrative learning, particularly the combination of mathematics with Islamic values, to enhance deeper comprehension. By embedding religious relevance into mathematical instruction—especially through real-life contexts such as inheritance laws—educators can support the development of more meaningful reasoning abilities. The study suggests that integrating mathematics and Islamic teachings can significantly benefit student learning outcomes and foster stronger conceptual foundations.

Distribution is the process of moving, managing, and storing goods from suppliers to customers in the supply chain. This process includes not only the delivery of raw materials from suppliers to manufacturers, but also the distribution of finished products to the end consumer. Distribution plays an important role in a company's profitability because it affects operational costs, delivery efficiency, and perceived value by customers. Successful well-managed distribution will increase customer satisfaction and strengthen the company's competitiveness in the market. PT. XYZ is one of the LPG distributors that provides 3 kg cylinders. This company serves a variety of consumers, ranging from households, small businesses, to retailers, with a coverage of distribution areas in Serang City. The distribution process is carried out based on sales orders and needs in 14 bases, where each base has a different level of demand according to consumer needs. However, PT. XYZ faces obstacles in achieving the optimal level of service, where the average service level only reaches 97.40%. An imbalance between inventory and demand at the base often leads to an oversupply or understock, resulting in backorders on some demands. This condition has a negative impact on customer satisfaction and overall distribution effectiveness. To overcome this problem, PT. XYZ developed a distribution dashboard by applying the Distribution Requirements Planning (DRP) method. Through this approach, distribution planning becomes more systematic, base needs can be met appropriately, and stocks can be managed more effectively. This dashboard also supports delivery scheduling and more coordinated marketing activities. The results of the implementation of the DRP dashboard in 2023 show a significant increase with a service level that has successfully reached 99%, minimizing backorders, and increasing customer trust and satisfaction.

This research aims to be able to meet the water supply of lettuce plants automatically by using three sensors such as soil moisture, water level, and water discharge. The goal is to provide water needs to plants automatically and regularly. The developed tool uses YL-96 sensor for soil moisture, HC-SR04 for water level and YF-S201 for water discharge. Sensor data is sent to the arduino to be processed using the fuzzy mamdani method so that these three data values affect the movement of the tap servo motor that flows to the lettuce plant. Fuzzy logic here as a decision maker from the value of 3 sensor data and then processed automatically by arduino using fuzzy mamdani to determine how many degrees the servo motor moves. The result is that the Lettuce Plant Water Needs Analysis System Automation Tool is able to maintain the water supply of lettuce plants and soil moisture ideally at 76% with a servo motor movement system success rate of 100%.

As shipping activities through various modes of transportation increase, the need for adequate understanding of dangerous goods is becoming increasingly important, especially among the younger generation. Unfortunately, many students still do not understand the classification and risks associated with transporting these goods. This community service activity aims to increase awareness and understanding of high school students in the Philippines regarding the classification of dangerous goods and the importance of safety in the shipping process. The activity was carried out through an interactive outreach method that included visual presentations, case studies, and simple simulations to make the material easier to understand and apply. The material provided refers to international standards, namely the International Maritime Dangerous Goods (IMDG) Code and ICAO Technical Instructions (ICAO-TI), which are important references in the classification and handling of dangerous goods globally. Evaluation was carried out through pre-tests and post-tests to measure the level of student understanding before and after the activity. The results showed a significant increase in students' ability to recognize symbols, types of dangerous goods, and initial actions to be taken when faced with these goods. These findings confirm that the right educational approach can increase early awareness among students as potential actors in the logistics chain. It is hoped that similar programs can be implemented widely and sustainably in various educational institutions to minimize the risk of sending dangerous goods due to a lack of public knowledge.

This study aims to examine the influence of service quality dimensions tangibles, reliability, responsiveness, assurance, and empathy on customer satisfaction at Bank BRI Pandanaran Branch in Semarang. The research integrates service quality theory and the Service-Dominant Logic (SDL) approach as its theoretical foundation. Service quality theory assesses how well the services provided meet customer expectations, while SDL emphasizes that service value is co-created through interaction and collaboration between companies and customers. A quantitative method was employed, using a sample of 41 respondents who are offline customers at BRI Pandanaran. Data were analyzed using multiple linear regression. The results show that overall service quality has a positive and significant effect on customer satisfaction. However, the tangibles and reliability dimensions were not statistically significant. In contrast, empathy, assurance, and especially responsiveness showed significant impacts. These findings support the SDL perspective, highlighting that active customer involvement, along with speed and accuracy in service delivery, are crucial elements in value co-creation, which directly influence customer satisfaction in the banking sector

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

Pendistribusian bantuan yang efisien menjadi tantangan utama dalam proses penyaluran. Penelitian ini bertujuan untuk merancang sistem cerdas yang mampu memetakan dan menyalurkan bantuan secara optimal dengan pendekatan algoritmik. Metodologi yang digunakan meliputi pemodelan sistem dengan menggunakan Unified Modeling Language (UML), perancangan struktur basis data relasional, dan perancangan algoritma penyaluran berdasarkan kriteria prioritas dan efisiensi logistik. UML digunakan untuk menggambarkan arsitektur sistem secara visual, meliputi use case, class, dan diagram aktivitas. Perancangan basis data dilakukan untuk memastikan integritas data dan kemudahan pengelolaan informasi bantuan, lokasi, dan kebutuhan penerima. Algoritma yang dikembangkan memanfaatkan pendekatan heuristik untuk menentukan rute penyaluran dan prioritas penerima berdasarkan parameter lokasi geografis. Hasil penelitian ini berupa prototipe model konseptual yang dapat digunakan sebagai dasar pengembangan sistem cerdas berbasis teknologi untuk mendukung proses penyaluran bantuan yang adaptif dan responsif.