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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 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.

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 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.

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 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%.

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.

Digitalization has become the driving force behind transformation in the logistics sector, particularly at seaports, which serve as key nodes in the global supply chain. Indonesian ports face persistent challenges such as high logistics costs and long vessel turnaround times. By implementing digital technologies such as the Port Community System (PCS), Artificial Intelligence (AI), and Blockchain, ports can enhance operational efficiency, accelerate service processes, and improve transparency and accountability. Digital systems also enable real-time integration among stakeholders, contributing to faster cargo flow and reduced national logistics costs. However, the implementation of digitalization is not without significant barriers, including limited information and communication technology (ICT) infrastructure, low digital competencies among the workforce, and high initial investment costs. Furthermore, ports face organizational cultural resistance to change and cybersecurity risks that threaten operational continuity. Smaller ports in developing countries often struggle to adopt these technologies independently due to budget constraints. To overcome these challenges, synergy between the government, port operators, and technology providers is essential. Programs such as the National Logistic Ecosystem (NLE) represent a strategic step to accelerate sustainable digital adoption. With a holistic approach encompassing technology, human resources, and business processes, digitalization can become a key catalyst in enhancing the competitiveness of Indonesian ports on a global scale.

This study aims to analyze the effect of firm size, profitability, and liquidity on firm value in the transportation and logistics sector listed on the Indonesia Stock Exchange during 2020–2023. This study uses a quantitative approach with secondary data obtained from annual financial reports. The sample was selected through purposive sampling and resulted in 11 companies over 4 years, totaling 44 observations. Panel data regression analysis was performed using STATA-14. The results show that partially, firm size and liquidity do not significantly affect firm value, while profitability has a significant positive effect. Simultaneously, all three variables significantly affect firm value. This finding implies that profitability is a main concern for investors when assessing firm value.

 The increasing use of electric vehicles in last-mile logistics distribution demands efficient and strategic charging infrastructure. This study aims to determine the optimal location for electric vehicle charging stations in Semarang City using the Set Covering Problem approach. A total of 17 last-mile distribution points operated by a logistics company were analyzed based on geographic data consisting of latitude and longitude coordinates, which were then processed into a distance matrix using the Euclidean formula. The optimization model was developed under the constraint of the electric vehicle’s maximum coverage radius and solved using binary linear programming. The analysis revealed that a single charging station located in Central Semarang is sufficient to cover all distribution points spread across the city. These findings reinforce the efficiency of the set covering approach in infrastructure planning and offer practical implications for logistics companies to optimize resources, minimize investment costs, and improve operational efficiency.

This article explores the concept of sets in mathematics, a fundamental foundation for various disciplines. The discussion includes the definition of a set as a well-defined collection of objects, as well as various methods of presenting them such as enumeration, description of properties, set-forming notation, and Venn diagrams. In addition, the article outlines the various types of sets (empty, universe, equal, part, disjoint, crossed, equivalent, power) and explains the fundamental properties of set operations (identity, dominance, complement, idempotent, absorption, commutative, associative, distributive, De Morgan). The primary objective is to provide a concise yet comprehensive understanding of sets as a foundational pillar of logical and mathematical thinking.

The rapid advancement of information technology demands higher education graduates to possess strong digital competencies, particularly algorithmic literacy. This form of literacy involves understanding data structures, programming logic, and computational thinking in problem-solving. This community service program aimed to strengthen algorithmic literacy among students as a foundational skill for building a professional career in the field of information technology. Conducted at the Information Technology Study Program of Universitas ‘Aisyiyah Yogyakarta, the program included need assessment, instructional material development, interactive training sessions, case-based group work, and evaluation through student presentations. The results showed significant improvement in students’ understanding of algorithms and their ability to design efficient and systematic solutions. By applying a problem-based and collaborative learning approach, students also developed essential 21st-century skills such as communication and teamwork. The case presentation-based evaluation provided comprehensive insights into their critical and logical thinking abilities. This program successfully contributed to preparing students not only as technology users but also as future innovators in the digital era.

Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level, urine albumin level, and serum creatinine. Initial analysis involved descriptive statistics and multicollinearity checks, followed by model estimation and evaluation using likelihood ratio and Wald tests. The final model identified four significant predictors: blood pressure, hemoglobin, urine albumin, and serum creatinine. The model achieved a high classification accuracy of 95.50% and an Area Under the ROC Curve (AUC) of 98.78%, indicating excellent predictive performance. These results highlight the importance of these clinical indicators in early CKD detection and support their use in risk assessment models for kidney disease screening Keywords: Chronic Kidney Disease, Binary Logistic Regression, Likelihood Ratio Test, Wald Test, Classification Accuracy

Microteaching is an essential component in preparing students of the Primary School Teacher Education (PGSD) program to become competent professional educators. This study aims to analyze effective strategies for mastering teaching materials during microteaching courses for PGSD students. Optimal mastery of subject matter requires not only a deep understanding of content but also the ability to adapt to the characteristics of primary school students, the use of varied teaching methods, and effective communication skills. This study employs a literature review methodology and analyzes best practices from various educational institutions. The results indicate that strategies for mastering teaching materials in microteaching involve five key dimensions: systematic material preparation through curriculum analysis and in-depth literature study; material organization using a logically structured approach; material presentation with diverse learning models and appropriate media; continuous evaluation using assessment for learning techniques; and self-development through continuous learning and consistent practice. The implementation of this integrated strategy has been proven to increase student confidence, improve the quality of material delivery, and optimize teaching readiness in primary school settings. These findings offer significant contributions to the development of PGSD curricula and the enhancement of the quality of future primary school teachers in Indonesia.

Based on the data obtained, 157 babies were born with LBW in 2016. In 2017 there were 142 babies born with LBW. In 2018 there were 134 babies born with LBW. Based on the results of an initial survey conducted by researchers at the TK IV 07.01 Lhokseumawe Hospital, the prevalence of LBW every month is still high from the last 3 years. The purpose of this study was to analyse the risk factors for the incidence of low birth weight babies at the Hospital TK IV 07.01 Lhokseumawe in 2024. The design of this study was quantitative research with a retrospective approach. The population of this study was 138 people, the sample was obtained by saturated sampling technique as many as 138 people. Univariate analysis, bivariate using chi-square and multivariate using multiple logistic regression at 95% confidence level. The results showed that the variables that had a risk with the incidence of LBW in Hospital TK IV 07.01 Lhokseumawe in 2024 were multiple pregnancies (p=0.026 <0.05) and a history of premature birth (p=0.017 <0.05). Variables that did not have a risk with the incidence of LBW were maternal age (p=0.847 >0.05), preeclampsia/eclampsia (p=1.000 >0.05), pregnancy distance (p=0.0322 <0.05) and premature rupture of membranes (p=0.439 >0.05). The study concluded that the incidence of LBW was influenced by 2 factors, namely multiple pregnancies and a history of preterm birth. The most dominant factor influencing it is the history of premature pregnancy.

The intention of this research is to examine the impact of workload on employee performance of PT. Semen Indonesia Logistik by using job burnout as an intervening variable. This research uses quantitative research methods. The research participants were employees at PT. Semen Indonesia Logistik. Determination of the sample using saturated sample technique as many as 37 employees. Data collection using questionnaires distributed to employees. Statistical analysis of Structural Equation Modeling (SEM) Partial Least Squares 4.0 was used to test the hypothesis. Based on the research results, workload has a significant negative effect on employee performance. Workload also has a considerable impact on employee performance due to job burnout.

This study aims to describe Ecocriticism and Ecological Logic of Ama Nara Short Story by Silvester Petara Hurit. This study uses an ecocritic approach with a descriptive qualitative research method. The results of the Ecocriticism and Ecological Logic research of Ama Nara Short Story by Silvester Petara Hurit are as follows, (1) nature is the highest manifestation of Lamaholot society. The ecological logic that being modern in Ama Nara's view does not have to leave nature and ancestors. Ecocriticism of the attitude of the main character of the short story, Ama Nara who is not tempted by the modern lifestyle, (2) the attachment of farmers and nature. Ama Nara's ecological logic to protect the environment, continue to care for the fertility of the soil naturally, and that is actually much more valuable. Ecocriticism lies in Ama Nara's attitude to persist in choices, and (3) empowerment of natural resources. Ama Nara's ecological logic creates a local food barn (hoku) so that food needs are met. Ecocriticism lies in Ama Nara's attitude to remain consistent in maintaining traditional life by continuing to empower existing natural resources that make her family happy.