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Mathematics is often referred to as a field of knowledge developed through logical reasoning and is considered essential in everyday life, particularly in problem-solving. One effective way to apply problem-solving skills in mathematics education is through the use of word problems. This study aims to explore and analyze the various obstacles students encounter when solving mathematical word problems. The research employs a descriptive qualitative approach, with data collection methods including tests, interviews, and a project involving the construction of a staircase using standard units of length. The subjects of the study were four third-grade elementary school students in Batusangkar who had previously studied standard units of length. The findings reveal that students faced a range of difficulties, such as challenges in understanding the problems, failure to organize solution steps systematically, and limited comprehension of the concept of standard measurement units. Additionally, a lack of interest in learning was found to negatively impact students’ ability to solve word problems. Therefore, conceptual understanding and increased motivation to learn are crucial factors in enhancing students’ mathematical problem-solving abilities.

Inquiry learning strategy is an educational approach that places students at the center of the learning process by encouraging them to actively seek, discover, and conclude knowledge through questioning, observing, and critically analyzing. In this strategy, students are not passive recipients of information from the teacher but are directly involved in learning activities that demand critical and analytical thinking skills. Through inquiry learning, students develop critical thinking abilities by engaging in stages such as problem formulation, hypothesis development, data collection, and drawing conclusions based on observations and analysis. This approach has been proven effective in enhancing students’ critical thinking skills as it promotes active and independent participation in learning, while also boosting motivation and self-confidence. The teacher acts as a facilitator who guides and motivates students to sharpen their critical thinking skills in solving problems systematically and logically. Thus, inquiry learning strategy not only enriches students’ understanding of the subject matter but also equips them with essential thinking skills to face future life and learning challenges.  

This study aims to analyze the influence of digital transformation and change management on the performance of investigators at the Ditreskrimum Polda Bali in implementing the Electronic Investigation Management (E-MP) application. The research focuses on understanding the extent to which these factors affect investigative effectiveness and identifying key drivers of investigator performance improvement in a digital system. A quantitative approach was employed using a survey method. Data were collected from 128 investigators at Ditreskrimum Polda Bali through questionnaires and analyzed using multinomial logistic regression. The analysis included the Likelihood Ratio Test, Wald Test, and Pseudo R-Square to assess model significance and explanatory power. Principal Component Analysis (PCA) was applied to address multicollinearity and enhance regression model stability. The findings indicate that digital transformation and change management significantly influence investigator performance. The Nagelkerke R-Square value of 0.866 suggests that the model explains 86.6% of variability in investigator performance. Furthermore, the Likelihood Ratio Test results confirm that predictor variables have a significant impact on the dependent variable with a p-value < 0.05. the regression equation is as follows ln(P(Y=0)P(Y=1))=β0+β1X1+β2X2. In conclusion, effective implementation of digital transformation and change management positively contributes to improved investigator performance in the use of E-MP. Therefore, enhancing digital technology training and strengthening change management strategies are highly recommended to optimize the utilization of E-MP in investigative environments.

The rapid growth of e-commerce has driven companies to seek more effective strategies to enhance logistics efficiency and customer satisfaction. This article examines the synergy between artificial intelligence, strategic location determination, and digital marketing in supporting the performance of digital supply chains. This multidimensional approach demonstrates that integrating cutting-edge technologies with precise location strategies and data-driven marketing can create superior customer experiences and more efficient operational costs. This study is based on a literature review of ten recent related studies. Moreover, it highlights consumer behavior shifts due to the digitalization and globalization of supply chains.  

The purpose of this study is to determine how the financial performance (Y) of transportation and logistics companies listed on the Indonesia Stock Exchange during the 2020-2023 period correlates with liquidity (X1) and solvency (X2) ratios. This research utilizes multiple linear analysis methods with secondary data and SPSS tools. The population consists of 37 companies, with 10 companies as research samples. The analysis results show that the liquidity ratio (X1) does not significantly affect the financial performance (Y) of transportation and logistics companies listed on the Indonesia Stock Exchange; the t-test probability value for this ratio is 0.078, greater than 0.05. In the same way, the t-test for the solvency ratio found a probability value of 0.259, which is also greater than 0.05, indicating that the solvency ratio also does not affect financial performance (Y). On the other hand, the f test value is 0.141, which is also greater than 0.05. Overall, the financial performance (Y) of transportation and logistics companies listed on the Indonesia Stock Exchange is not significantly affected by the liquidity ratio (X1) and solvency ratio (X2) variables. From these results, it can be concluded that only ten percent of financial performance is influenced by solvency and liquidity ratios. Other factors not considered in this study affect the other ninety percent.  

This study aims to evaluate the effectiveness of the Sea Toll Program, specifically Route T-26, with a focus on its outcomes and tangible benefits for the community in Fakfak Regency, West Papua. The research employed a descriptive quantitative method using statistical analysis through a paired sample t-test. Primary data were collected through field observations and interviews with relevant agencies such as the Directorate of Sea Traffic and Transportation and field implementation consultants, while secondary data were sourced from the 2024 operational report of Route T-26. Data collection techniques included field observation, primary surveys, document studies, and secondary data analysis. The findings indicate that the Sea Toll Program contributes to improving logistics distribution, lowering the prices of several key commodities, and reducing household expenditures, although statistical tests showed that the price differences were not significant. The implications highlight the need to optimize the volume and regularity of Sea Toll voyages to strengthen economic resilience in remote, outermost, underdeveloped, and border areas (3TP).

Manufacturing companies in the textile and garment sector play an important role in the national economy, contributing to global development every year, creating jobs and encouraging domestic and foreign investment. However, the influence of globalization triggered by the influence of internal and external parties can cause many companies to experience financial difficulties. So researchers are interested in conducting research using secondary data in the form of annual financial reports. This study aims to evaluate financial ratios related to the company's financial distress conditions and identify factors causing financial difficulties in companies in the textile and garment sector listed on the Indonesia Stock Exchange in 2022-2023. This study uses the Springate (S-Score) method and logistic regression analysis with the results of the analysis showing that liquidity has a significant negative effect on financial distress, leverage has a positive insignificant effect on financial distress, and profitability has a significant negative effect on financial distress, and activity has a positive insignificant effect on financial distress.

Character in the sense of attitude or behavior is closely related to language, and this relationship is logical or structural because language is a reflection of a person's attitudes and behavior.  Language is a symbol of human existence that can be known about their desires, educational background, customs, even their region or country of origin.  When someone communicates by choosing polite words and expressions, that person will use good sentences. Providing direction and socialization about positive language attitudes can improve language skills and foster polite and polite character among teenagers. This community service activity was held at youth youth organization Rt.001/Rw.004 Tanah Baru, Beji, Depok City, West Java. The way to select partners is based on survey and interview results, namely that the majority of teenagers still often use slang and viral language that is not educational. The method of implementing this activity is education as well as direction and socialization. The results of this community service activity are Karang Taruna youth have gained knowledge and experience regarding polite and polite character through positive language attitudes so that it will really help teenagers in socializing with their surrounding environment.

The development of digital technology has given birth to a new form of presentation of literary works, one of which is cyber literature. The short story “Sepotong Senja untuk Pacarku”by Seno Gumira Ajidarma, published on the medium.com site, is an example of how literary works are transformed in digital space, combining visual elements, interactivity, and hypertextuality. This study aims to analyze the short story “Sepotong Senja untuk Pacarku” by Seno Gumira Ajidarma through a structural approach. The method used is a qualitative method with a literature study technique. The results of the analysis show that this short story has a romance theme, uses a forward plot, first-person point of view, a poetic language style using various figures of speech, and a story message about love that encourages actions beyond logic. The main character is depicted as a romantic and unyielding figure. In addition, the presentation in digital media enriches the reader's experience through supporting images, comment features, and intertextual relationships with other short stories. This short story shows the typical characteristics of cyber literature, namely interactivity and intertextuality that allow for the expansion of meaning in the story.

Penelitian ini mengkaji pengaruh tekanan, peluang, rasionalisasi, dan stabilitas keuangan terhadap kecurangan laporan keuangan pada perusahaan properti dan real estat yang terdaftar di Bursa Efek Indonesia pada tahun 2023. Menggunakan analisis regresi logistik biner pada sampel 53 perusahaan yang dipilih melalui purposive sampling, studi ini mengukur kecurangan laporan keuangan menggunakan F-Score, sedangkan variabel independen diukur melalui rasio leverage, pemantauan yang tidak efektif, perubahan auditor, dan perubahan aset. Hasil penelitian mengungkapkan bahwa tidak ada faktor yang diteliti yang secara signifikan mempengaruhi penipuan laporan keuangan, dengan nilai signifikansi 0,179 untuk tekanan, 0,360 untuk peluang, 0,250 untuk rasionalisasi, dan 0,676 untuk stabilitas keuangan. Temuan ini menunjukkan bahwa perusahaan properti dan real estat mungkin menggunakan strategi alternatif untuk manajemen utang dan pertumbuhan aset tanpa menggunakan manipulasi laporan keuangan. Penelitian di masa depan harus mengeksplorasi faktor risiko penipuan tambahan dan mempertimbangkan periode pengamatan yang lebih lama untuk menangkap pola siklus potensial. Badan pengatur harus meningkatkan mekanisme pemantauan di luar persyaratan kepatuhan formal, sementara investor harus memasukkan model deteksi penipuan yang komprehensif saat mengevaluasi keputusan investasi di sektor properti.

This study aims to examine the historical development of the science of shorof with a focus on the contribution of classical scholars to the systematics of Arabic morphology, especially in the infaʽala verb pattern. Using a qualitative approach and literature study methods, this study traces the linguistic thoughts of figures such as Sībawayh, al-Mubarrid, Ibn Jinnī, to al-Raḍī. The results of the study show that the majority of classical scholars determine the infaʽala pattern as a non-transitive verb (lāzim) that contains the meaning of muṭāwaʽah, and is closely related to the basic pattern of faʽala. In addition, there were restrictions on certain letters as basic letters in this pattern to avoid sound assimilation (idghām). This study confirms that the Arabic morphological system is built on regular and logical rules, and the contribution of classical scholars is very significant in laying the scientific foundations of the science of shorof which are still relevant today

Indonesia is a developing country located at the convergence of four tectonic plates, making it highly prone to natural disasters such as earthquakes, tsunamis, landslides, and volcanic eruptions. These frequent disasters highlight the critical need for reliable electricity during emergencies. However, disaster-affected areas often struggle to restore power due to accessibility issues. To address this, alternative energy sources are needed, and Solar Power Plants (PLTS) offer a practical solution. PLTS are easy to implement, depend only on sunlight, and provide clean energy with low carbon emissions. Under clear skies, solar radiation can reach 1,000 Watts per square meter, making it a powerful energy source. Additionally, PLTS systems are adaptable and can be deployed in various formats, including mobile units. This study focuses on designing a Mobile PLTS to support BASARNAS operations in disaster zones. Data collection was conducted using resources from BNPB, BMKG, BASARNAS, and NASA. The analysis includes the geographical characteristics of the site, solar radiation intensity, and the operational dimensions of the BASARNAS Mobile Truck. The study aims to determine the suitable system specifications and estimate the energy production capacity of the Mobile PLTS. The proposed design features 20 solar panels, each with a capacity of 300 Wp, producing an average of 27.70 kWh per day. It also includes 16 batteries for energy storage. The remaining space in the truck can be used for transporting logistics or essential tools, making it a multifunctional unit ideal for disaster response scenarios.

Given the increasing prevalence of mental health challenges in digital work settings, especially among IT remote workers, early detection mechanisms have become critically important. This study aims to improve the prediction accuracy of mental health conditions among IT remote workers by integrating feature engineering techniques within machine learning models. Five algorithms consisting of Random Forest, Logistic Regression, K-Nearest Neighbors, Decision Tree, and Naive Bayes were evaluated. The Random Forest model achieved the best performance, with 83% accuracy, 83% precision, 100% recall, and a 90% F1-score, followed closely by Logistic Regression with 82% accuracy. Nevertheless, the results demonstrate the feasibility of applying machine learning to support the early detection of mental health risks, offering a strong foundation for future research in predictive analytics and the development of intelligent support systems within digital work environments.

Inquiry learning strategy is an educational approach that places students at the center of the learning process by encouraging them to actively seek, discover, and conclude knowledge through questioning, observing, and critically analyzing. In this strategy, students are not passive recipients of information from the teacher but are directly involved in learning activities that demand critical and analytical thinking skills. Through inquiry learning, students develop critical thinking abilities by engaging in stages such as problem formulation, hypothesis development, data collection, and drawing conclusions based on observations and analysis. This approach has been proven effective in enhancing students’ critical thinking skills as it promotes active and independent participation in learning, while also boosting motivation and self-confidence. The teacher acts as a facilitator who guides and motivates students to sharpen their critical thinking skills in solving problems systematically and logically. Thus, inquiry learning strategy not only enriches students’ understanding of the subject matter but also equips them with essential thinking skills to face future life and learning challenges.

With the times, cash transactions that used to use cash are now turning to credit cards. However, the increasing use of credit cards presents challenges, especially in maintaining customer loyalty. Customer churn is the loss of customers within a certain period for various reasons. Logistic Regression is a machine learning algorithm that studies the relationship between a dependent variable and several independent variables and Extreme Gradient Boosting (XGBoost) is a Gradient tree-boosting algorithm that offers out-of-core learning and sparsity awareness.The purpose of this study is to compare the performance between Logistic Regression and Extreme Gradient Boosting (XGBoost) algorithms in predicting customer churn in credit card services using evaluation metrics such as accuracy, precision, recall, and F1-score. Based on the research results, it can be concluded that XGBoost has better performance in all evaluation metrics, both in terms of precision, recall, F1-score, and accuracy. Based on the research, XGBoost shows superior performance compared to Logistic Regression in all evaluation metrics.

Handling natural disaster victims requires a fast, precise, and fair aid distribution process. In this context, expert systems can be utilized as a decision-making tool in determining the type and amount of aid that should be given to victims. This article develops a desktop-based expert system using the Java programming language, which is able to calculate the type of aid based on the condition of the victim, the level of damage, and the number of affected family members. The method used is a rule-based expert system with if-then logic. The results show that this system can assist field officers in accelerating the calculation and distribution of aid.

This study aims to explore innovative learning strategies in fostering students' critical thinking skills. Critical thinking skills are increasingly essential in today’s complex and challenging era. Approaches such as Problem-Based Learning (PBL), Project-Based Learning (PjBL), as well as open discussions and debates, are capable of encouraging students to think analytically, logically, and reflectively. These strategies emphasize the active role of students in the learning process—not merely as recipients of information, but also as seekers and processors of knowledge. Teachers serve as facilitators who create a learning environment that supports exploration and problem-solving. The evaluation of critical thinking skills is conducted through instruments such as rubrics, Higher Order Thinking Skills (HOTS) questions, and analytical essay tests, which allow for an in-depth assessment of students' abilities. The findings show that innovative learning is more effective than conventional methods in developing critical thinking skills. Therefore, these strategies are worth implementing widely in the education system to prepare students to face future challenges critically, creatively, and adaptively.

Human decision-making often occurs under conditions of uncertainty, where understanding probabilities is essential for making informed choices. This study investigates how people perceive and apply probabilistic information in various decision-making contexts. A combination of quantitative and qualitative methods was used to analyze the decision patterns of 200 individuals from diverse backgrounds through scenarios involving uncertainty. The results show that most participants prefer relying on intuition or personal experience rather than using statistical reasoning. Several cognitive biases, such as ignoring probability, overestimating confidence, and relying on readily available information, were commonly observed. However, participants with a stronger grasp of probability concepts demonstrated more logical and beneficial decision-making, particularly in financial and organizational settings. The study highlights a clear link between probability literacy and decision quality. Improving public understanding of probabilistic thinking could enhance decision outcomes, especially in situations involving risk. Educational efforts to integrate probability awareness into learning environments are recommended to support better decision-making both individually and collectively.

The purpose of this study is to investigate whether the use of infographic media can enhance the argumentative writing skills of eleventh-grade students at SMK Negeri Sragi, located in the Sragi District of Pekalongan Regency, Central Java. Argumentative writing is a critical academic skill that enables students to express opinions clearly, logically, and persuasively. However, many students struggle with organizing their ideas, building coherent arguments, and presenting supporting evidence effectively. To address this issue, the research employs a quantitative descriptive method with a pre-test and post-test design. A total of 30 students from grade XI were randomly selected as research participants. Infographics were introduced as an instructional medium to assist students in better understanding the structure of argumentative texts, including thesis statements, supporting arguments, counterarguments, and conclusions. The visual nature of infographics was expected to improve students’ ability to grasp and organize key components of argumentative writing. The results of data analysis indicate a significant improvement in students’ writing performance after the implementation of infographic-based instruction. Students demonstrated enhanced clarity, coherence, and persuasiveness in their arguments. Furthermore, the use of infographics increased student motivation and confidence in expressing opinions through writing. This research concludes that infographic media is an effective tool for improving argumentative writing skills among vocational high school students. It is recommended that educators incorporate visual learning tools such as infographics to support writing instruction. The findings are expected to contribute to the development of more engaging and innovative teaching strategies that promote critical thinking and communication skills in the classroom.

Agraria law is the law that regulates relations between people and land and other people. Sudikno Mertokusumo explained that the law, also known as land law, is the interest of people in other people regarding land. According to Subekti, agrarian law is the totality of legal provisions, whether civil, state administration or state administration law, which also regulates authorities that originate from certain relationships. For information, the basis of agrarian law is regulated in Law Number 5 of 1960 concerning basic regulations on agrarian principles or UUPA. In this agrarian law regulation, there are at least seven principles1. These are: the principle of control by the state, the principle of social function, the principle of customary law, the principle of nationality or nationhood, the principle of limiting land ownership for the sake of the public interest, the principle of general planning and the principle of land preservation. From various literature it is known that the history of the birth of the UUPA tells the long history of the struggle of national figures in reducing the impartiality of land law for the benefit of society at large. In the era of reform, the logical consequences between political existence and interests and legal certainty, especially regarding land issues, have become a trending topic that is interesting to discuss. The complexity of land issues in this country is increasingly increasing and complicated, and is exacerbated by friction between interests that are politically charged. Legal politics consists of a series of words politics and law. (Suderto, et., al 1983) explains that politics is used in various meanings, namely: 2 1. The word polik in Dutch, which means something related to the State 2. Means discussing state issues or those related to the State Furthermore, Sudarto emphasized that the meaning of politics is policy which is a synonym for policy. In this sense, the words economic politics, crime, legal politics and criminal law politics are found. The relationship between politics and law, according to (Mahfud et., al 1998) explains that law is a political product. Law is seen as an independent variable (variable influence) and politics as an independent variable (variable influence). With this assumption, Mahfud formulated the law as: 3 Legal policies that will be or have been implemented nationally by the government also include an understanding of how politics influences the law by looking at the configuration of forces behind the creation and enforcement of the law. Here the law is not only seen as articles that are imperative or mandatory, but must be seen as a sum system which in reality is not impossible, in fact it is not impossible which is very much determined by politics, both in the formulation of material and articles and in implementing them.