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This study aims to analyze the implementation of Islamic business ethics in the trading activities of Rumah Makan Nasi Padang Dua Al. Islamic business ethics emphasize principles of honesty, fairness, trustworthiness, good service, and the prohibition of fraud and exploitation. This research employs a descriptive qualitative approach through observation, in-depth interviews, and documentation. The findings indicate that most principles of Islamic business ethics are applied by the food vendors, including price transparency, friendly service, and maintaining food quality and hygiene. However, several aspects still require improvement, particularly environmental cleanliness management and consistency in food portions. Overall, the implementation of Islamic business ethics at this restaurant reflects a commitment to upholding values of justice and blessings in business practices. This study is expected to serve as a reference for improving Sharia-compliant culinary business practices and encouraging food entrepreneurs to adopt ethical values in their economic activities.

Cocoa fruit is one of the crops with a long history in Indonesia. Cocoa powder and chocolate are among the export commodities processed from cocoa fruit. Currently, cocoa product exports fluctuate annually. The challenges faced in cocoa product exports are diverse. This study aims to analyze the performance of cocoa product exports in the global market. The data used in this study was obtained from UN Comtrade and the Central Statistics Agency (BPS) from 2006 to 2024. The methods used in this study include Revealed Symmetric Comparative Advantage (RSCA) and Export Competitiveness Index (ECI). The results show that the export performance of cocoa powder is relatively good, while that of chocolate is not so good. This is based on the RSCA and ECI values of cocoa powder, which are better than those of chocolate. The average RSCA value of cocoa powder is 0.62, while the average RSCA value of chocolate is -0.93. The average ECI value for cocoa powder is 0.95 and the average ECI value for chocolate is 0.97. One of the factors contributing to the good export performance of cocoa powder is that the export value of cocoa powder is higher than that of chocolate. Strict safety standards in export destination countries also pose a barrier to chocolate exports

Bintan Island has abundant bauxite soil resources; however, its utilization as road construction material remains limited. The scarcity of high-quality granular material in the region necessitates the use of available local resources, particularly for pavement subgrade layers. This article aims to analyze the classification and mechanical properties of native soils in Bintan Island through a systematic literature review. The reviewed literature includes laboratory test results of bauxite soil. The findings indicate that bauxite soil exhibits low plasticity, relatively high CBR values (±35%), and is classified as CL (USCS) and A-2-4 (AASHTO). These results suggest that bauxite soil is suitable for subgrade applications, although require stabilization with binding agents. The implication of this review highlights that the utilization of local materials could support sustainable infrastructure development in island regions by reducing dependency on imported materials.  

The calculation of work volume and construction costs is a fundamental aspect of project management, as errors in the estimation process can directly affect the preparation of the project budget. Many projects still use conventional methods for estimation, which are based on 2D working drawings with the assistance of Microsoft Excel, as seen in the Sungai Raya Religious Court Building project. This method is considered prone to calculation errors and less efficient due to the considerable amount of time required. With the advancement of technology, Building Information Modeling (BIM) has emerged, enabling automatic and integrated calculation of work volumes and construction costs through a three-dimensional digital model. This study aims to examine the implementation of BIM in the Sungai Raya Religious Court Building project and to compare the results of work volume and construction cost calculations between the BIM method using Autodesk Revit and the conventional method based on the project’s Bill of Quantity (BoQ). The research method was conducted by modeling the structural elements of the building, including pile caps, tie beams, columns, beams, floor slabs, and reinforcements. The results of work volume and construction cost calculations obtained from Autodesk Revit were then compared with the project’s BoQ as the conventional method. Based on the analysis, an average difference of 6.3% in work volume and 5.6% in construction cost was found, with the Autodesk Revit calculations showing slightly lower values compared to the project’s BoQ.

This study is motivated by the problem faced by Toko Polirindo, where sales transaction data are stored only as archives and have not been utilized for analytical purposes, resulting in unstable product availability, recurring stock shortages, and difficulties in predicting customer purchasing behavior; therefore, this research aims to identify patterns of item associations that frequently occur together by applying the Association Rule Mining method using the FP-Growth algorithm, which is recognized for its ability to extract frequent itemsets efficiently without the need to generate candidate combinations as in the Apriori algorithm. The dataset consists of sales transactions recorded from January to September 2025. It undergoes several stages, including preprocessing, binary transformation, and analysis using RapidMiner to generate frequent itemsets and association rules, evaluated using support, confidence, and lift metrics. The results reveal that item 3 consistently appears as the most dominant consequent across almost all generated rules, with confidence values ranging from 0.322 to 0.347, indicating that this item is most strongly associated with other items and frequently appears as a complementary product in customer transactions. These findings provide practical contributions by offering insights to optimize stock management, improve product placement, and develop promotional strategies based on actual purchasing patterns, while also demonstrating that the FP-Growth algorithm is an effective analytical tool to support data-driven decision-making aimed at enhancing operational efficiency and customer satisfaction in retail environments.

This study discusses the position of women in the creation of humankind based on Amina Wadud's feminist hermeneutics perspective as an effort to critique classical interpretations of the Qur'an that tend to be gender biased. For centuries, the tradition of interpretation dominated by male exegetes has shaped a theological understanding that places women in a subordinate and inferior position, especially in the narrative of human creation. Amina Wadud, as one of the contemporary Muslim feminists, offers a feminist hermeneutics approach that emphasizes the importance of historical context, linguistic analysis, and women's experiences in understanding the Qur'anic text in a more fair and comprehensive manner. This study specifically examines Wadud's interpretation of QS. An-Nisa 'verse 1, which states that humans were created from nafsun wahidah (one soul). Wadud asserts that this concept indicates the equality of origin between men and women, thereby rejecting the patriarchal view that women were created from men's ribs as second-class beings. The research method used was qualitative with a literature study approach, through analysis of Amina Wadud's works and relevant academic literature. The results of the study show that Wadud's feminist hermeneutics not only serves as a critique of classical interpretations that are laden with patriarchal bias, but also provides a strong theological basis for the recognition of gender equality in Islam. This approach opens up space for women to play an equal role in the social, political, and religious spheres. Thus, Amina Wadud's thinking contributes significantly to building a more inclusive, egalitarian, and gender-equitable understanding of Islam in accordance with the universal values of the Qur'an.

Angklung is one of the traditional musical instruments originating from the Sundanese culture in West Java, Indonesia, and has been recognized as an Intangible Cultural Heritage by UNESCO since 2010. This research aims to analyze the functions, values, and development of angklung in West Java society. The study applies a qualitative descriptive approach through literature review, field observations, and interviews with cultural practitioners. The findings show that angklung plays an important role not only as a musical medium but also as a tool for social cohesion, educational development, and cultural identity preservation. Over time, angklung has experienced significant transformation in terms of performance, musical arrangements, and adaptation in modern contexts, such as tourism, creative industries, and international collaborations. However, challenges remain in maintaining authenticity amid commercialization and the declining interest of younger generations in traditional musical arts. This study highlights the need for continuous cultural education, community engagement, and government support to sustain angklung's legacy. The implications of this study contribute to cultural preservation strategies and provide insights into the sustainable development of traditional arts in the modern era.

This study elaborates on the concept of humanism in Islamic educational philosophy by highlighting in greater depth the role of humans as caliphs on earth. Humanism from an Islamic perspective not only focuses on humans as rational beings but also emphasizes the moral, spiritual, and social responsibilities inherent in the mandate of the caliphate. This study applies a qualitative approach with a literature study, where data is obtained from various written sources such as scientific articles and academic publications that discuss humanism in Islamic education and the concept of the human caliphate. The data collection process is carried out through searching, selecting, and organizing literature relevant to the focus of the study. The collected data are then analyzed using descriptive-qualitative techniques through the stages of simplifying information, grouping findings, and formulating systematic conclusions. The results of the study indicate that the position of humans as caliphs requires the development of intellectual, ethical, and spiritual potential in an integrated manner in the educational process. Therefore, Islamic education needs to be directed towards a holistic humanization process, which not only strengthens reasoning and social character but also fosters a transcendental awareness of human relationships with God, fellow humans, and nature. Thus, humanism in Islamic education is not secular, liberal, or anthropocentric, but is firmly rooted in divine values ​​that harmoniously unite the divine and human dimensions.

This study aims to analyze the factors that influence students' interest in continuing their education to college using a machine learning approach. Data was collected through an online questionnaire completed by 727 students between July 27 and August 22, 2025, covering 23 variables consisting of respondent identity (gender, grade level, major) as well as internal and external factors such as parental support, learning motivation, and preferred type of college. The data preparation stage was carried out through column cleaning, deletion of empty data, encoding of categorical variables, and division of the dataset into 80% training data and 20% test data. The Naive Bayes algorithm of the CategoricalNB type was used because it was suitable for the categorical nature of the data. The evaluation results showed that the model was able to predict student interest with 96% accuracy. For the class of students interested in continuing their studies, the precision, recall, and F1-score values were above 0.95, while the performance in the class of students who were not interested was slightly lower due to the smaller amount of data. These findings show that Naive Bayes is proven to be effective and reliable in classifying students' interest in continuing their studies and can be the basis for decision-making in designing more targeted educational strategies.