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This research started from the difference in understanding of mathematical concepts found in students in grades XI-1 of SMA Kanjeng Sepuh Sidayu. The main purpose of this study is to analyze students' understanding of mathematical concepts based on extroverted and introverted personalities, with an ethnomathematical approach on the building of the Kanjeng Sepuh Sidayu Mosque. The research subjects consisted of four students who were selected with two personality categories, namely two students with introverted personalities and two students with extroverted personalities, which were determined through a personality questionnaire. Data collection techniques were carried out using questionnaires to find out personality types, mathematical concept understanding tests, and in-depth interviews to further explore students' understanding. The results showed that there were significant differences in the understanding of mathematical concepts between students with introverted and extroverted personalities. Students with introverted personalities show good ability to meet indicators 1, 3, and 5. This indicator includes the ability to restate a concept, provide examples and non-examples of a concept, and apply concepts or logarithms in problem solving. Students with extroverted personalities, on the other hand, excel in indicators 1, 2, and 4. This indicator includes the ability to restate a concept, classify objects according to the concept, and use and choose certain procedures or operations in solving problems. This study provides insight that the understanding of mathematical concepts is not only influenced by cognitive abilities alone, but also by students' personality factors. Introverted and extroverted personalities affect the way they absorb and apply mathematical concepts. Therefore, it is important for educators to pay attention to these differences in designing teaching approaches that suit the characteristics of the students.

Hashimoto's thyroiditis (HT) is an autoimmune disorder that leads to thyroid dysfunction and chronic inflammation, often resulting in hypothyroidism. The exact mechanisms driving HT are not fully understood, but recent research has highlighted the potential role of various molecular markers in the disease’s pathogenesis. This study investigated the roles of miRNA-375, miRNA-451, and interleukin-6 (IL-6) in HT. Serum samples were collected from 100 HT patients and 100 healthy controls, and their expression levels were analyzed using quantitative polymerase chain reaction (qPCR) and enzyme-linked immunosorbent assay (ELISA). The results revealed significant alterations in the levels of these molecules. miRNA-375 was significantly elevated in HT patients (5.85 ± 1.30 vs. 1.0, p < 0.001), while miRNA-451 was markedly reduced (1.43 ± 0.22 vs. 10.91 ± 2.44, p < 0.001). Additionally, IL-6 levels were found to be significantly higher in HT patients (115.79 ± 12.62 vs. 21.34 ± 4.03 pg/ml, p < 0.001). These findings suggest that these molecules play critical roles in the immunopathogenesis of HT. Receiver operating characteristic (ROC) analysis further confirmed that miRNA-375, miRNA-451, and IL-6 are excellent diagnostic markers, with area under the curve (AUC) values ranging from 0.956 to 1.000. miRNA-375 showed 96% sensitivity and specificity at a cutoff >1.66-fold, while miRNA-451 demonstrated 100% sensitivity and specificity at a cutoff <3.48-fold. IL-6 also exhibited perfect diagnostic accuracy with 100% sensitivity and specificity at a cutoff >53.73 pg/ml. No significant variations were observed across demographic or treatment subgroups, supporting the stability of these biomarkers in clinical applications. These findings suggest that miRNA-375, miRNA-451, and IL-6 are dysregulated in HT and could serve as reliable biomarkers for diagnosis and potential therapeutic targets, offering new strategies for the management of Hashimoto’s thyroiditis.

Archives, as information recorded in various media, including cassette tapes, hold significant historical, cultural, and commercial value. These materials are classified as audiovisual archives. Among them, cassette tapes containing national and international songs form part of the collection at the Museum Musik Indonesia, located in Malang, East Java, Indonesia. As a self-managed museum run by a community of music enthusiasts, the Museum Musik Indonesia provides public access to information about its song collections. Given the large number of cassette tapes preserved, an effective information arrangement system is essential. This study recommends the use of a geographical classification system to organize the collection. Archive data is entered into a database using Microsoft Excel, allowing for structured cataloging and easier retrieval. This research employs a qualitative method, involving interviews with several informants from the Museum Musik Indonesia. The findings indicate that applying a geographical classification system in organizing cassette tape archives significantly improves the museum’s management capabilities. This system facilitates the rediscovery of archived items, enhances organization, and supports accurate record-keeping. Furthermore, electronic storage of archive information reduces the risk of data loss and ensures long-term preservation. The implementation of this arrangement not only benefits internal management but also enhances the quality of service provided to museum visitors. By enabling quicker and more accurate access to the collection, the museum can offer a richer and more engaging visitor experience. This study demonstrates that systematic archival practices, even when implemented with accessible tools like Microsoft Excel, can yield substantial benefits in cultural heritage preservation. The approach can serve as a reference for other small-scale or community-based museums seeking efficient, low-cost methods for managing and safeguarding their archival assets.

This research aims to analyze the financial feasibility and marketing strategy of Etawa goat farming in Kaligesing District, which is recognized as one of the main centers for Etawa goat breeding in Indonesia. The case study was conducted at Setia Farm, a representative and active breeder in the region. The financial analysis employed several indicators, including Break-Even Point (BEP), Net Present Value (NPV), Internal Rate of Return (IRR), and Gross Benefit-Cost Ratio (Gross B/C). The findings show that the Gross B/C value reached 4.7, indicating a high return compared to investment cost. The NPV value was positive, and the IRR exceeded the prevailing loan interest rate, highlighting that the business generates significant profitability over time. Additionally, the BEP was achieved in a relatively short period, which signifies the business has strong potential for short-term capital recovery and low financial risk. From a marketing perspective, Setia Farm implements a combination of product excellence, adaptive pricing strategies, diverse distribution channels, and active promotional efforts. Their flagship products—mainly superior Etawa goats and processed dairy products—are positioned to meet market demand effectively. The farm also uses both direct marketing and digital platforms, such as social media and e-commerce, to expand its reach. Promotion is carried out through agricultural events, online campaigns, and collaboration with livestock communities. These strategies contribute to increasing brand awareness, building customer loyalty, and improving competitiveness. The integration of financial feasibility and strategic marketing supports the sustainability and growth of Etawa goat farming in Kaligesing. The results of this study can serve as a reference for livestock entrepreneurs, investors, and policymakers in developing similar agribusiness models that are profitable, resilient, and market-oriented.

The public’s demand for excellent service encourages the government to continuously innovate. In response, the Population and Civil Registration Office of Pangandaran Regency developed an innovation called the mobile service pickup program. This innovation integrates offline services to accelerate and simplify the processing of population documents, particularly in the issuance of birth certificates. The mobile service pickup program is designed to improve the efficiency, effectiveness, and transparency of public services in the field of population administration in Pangandaran Regency. This study refers to the innovation theory by Everett M. Rogers, as cited in Prabowo H. (2022), which states that there are five attributes of innovation that influence its acceptance: relative advantage, compatibility, trialability, and observability. The research method used in this study is qualitative descriptive, with data collected through interviews, documentation, and observation. Meanwhile, informants were selected purposively to obtain relevant and in-depth data. The research results reveal that the mobile service pickup program innovation has not yet been optimally implemented, with time effectiveness being a crucial factor for the community. Therefore, this innovation must continue to be developed to gain wider acceptance among the public.

Lymphoma is a type of cancer that begins in the lymphatic system, which is part of the body's immune system. The lymphatic system consists of lymph nodes (lymph nodes), lymph vessels, the spleen, bone marrow, and other organs. Lymphoma occurs when lymphocytes multiply abnormally. Lymphoma is one of the most common cancers, affecting approximately 8 million people worldwide annually. These statistics should not be underestimated, but should be taken into consideration. This study aimed to assess the level of knowledge of patients with lymphoma and to investigate the relationship between family history and risk of developing the disease.  A descriptive and analytical cross-sectional study was conducted at a final center in Wasit Governorate, Iraq, from January 2024 to March 2025. Forty patients were included in the study, who were diagnosed with lymphoma and had their lymph nodes sorted. Data were collected through a structured questionnaire covering demographics, family history, and knowledge about the disease. Data were analyzed using SPSS and Excel, with descriptive statistics and chi-square testing applied to determine statistical relationships (at a significance level of ≤ 0.05). The study was conducted using a descriptive analytical approach at the Oncology Center in Wasit Governorate, Iraq, from January 2024 to March 2025. The sample included 40 female patients diagnosed with lymphoma. Data were collected through a structured questionnaire covering demographics, family history, and knowledge about the disease. Data were analyzed using SPSS and Excel, using descriptive statistics and the chi-square test to determine statistical relationships (at a significance level of ≤ 0.05). Most of the participants (61%) had poor knowledge of lymphoma, particularly about its signs and symptoms, risk factors, and preventive measures.

Technological developments have penetrated various sectors of life, including in the transportation and communication lines in Indonesia. KAI Access is a digital service issued by PT Kereta Api Indonesia in the form of an application. This application is present as a strategic innovation to improve the convenience and comfort of customers in accessing various train services, from ticket bookings, schedule information, to cancellations and refunds. However, from the complaint data submitted by customers, there are two biggest problems that are often experienced, namely related to responsiveness and action from KAI Access which is considered slow in handling user complaints and technical problems. When quick response services are not accompanied by concrete settlement actions, customer trust tends to decline. This research is based on service theory with a service quality and excellent service approach, where the variables of responsiveness and action are the main focus in the analysis of customer loyalty. Using a quantitative approach, with data collection techniques in the form of questionnaires, interviews, and literature studies, the respondents in this study were KAI Access users from the Edan Sepur train loving community. The results showed that the action variable had a positive and significant influence on customer loyalty, while the responsiveness variable did not have a significant influence directly. An important conclusion from this study is that in the context of digital applications such as KAI Access, customers prioritize concrete problem solving rather than just quick response. Therefore, PT KAI needs to strengthen concrete actions in handling complaints to increase long-term loyalty. Therefore, PT KAI needs to strengthen concrete actions in handling complaints to increase long-term loyalty, especially in the era of digitalization of public services that continues to grow rapidly.

Hypertension is a chronic condition characterized by blood pressure exceeding the normal range, specifically 140/90 mmHg. One of the primary contributors to hypertension is insufficient potassium intake. Studies suggest that foods rich in potassium, such as pumpkin, can help regulate blood pressure. Pumpkin is an excellent source of potassium and dietary fiber, which are beneficial in managing hypertension. This health education program aimed to provide the Cot Paya community with knowledge about how pumpkin pudding can be used as a natural remedy to lower blood pressure. The method employed in this activity included a lecture followed by a question-and-answer session, allowing for an interactive exchange of information. The intervention focused on educating families and elderly individuals about the causes of hypertension, its impact on health, and the potential benefits of incorporating pumpkin pudding into their diet. The response from the Cot Paya community was positive, with many participants showing keen interest in the topic. Several parents and elderly residents actively engaged by asking questions related to hypertension and its management. The educational session not only improved awareness about hypertension but also provided practical knowledge on using pumpkin pudding as a dietary tool for managing high blood pressure. By the end of the session, participants demonstrated a better understanding of hypertension, its prevention, and the role of potassium-rich foods like pumpkin in reducing blood pressure. The activity was well-received and laid the foundation for continued health education within the community, particularly in promoting natural dietary interventions to prevent and manage hypertension.

The purpose of this study is to reveal the character education values of the superstar Cristiano Ronaldo, which have not been studied in depth before. The character research was selected with literature sources, and analyzed qualitatively. The discussion and analysis resulted in findings that Cristiano Ronaldo has several superior characters, namely: religious, honest, competitive, self-confident, professional, high work ethic, disciplined, love for the country, appreciate achievement, communicative, care for the environment, care for society, and responsibility. These character values make him a superstar who stands out both on and off the field. His religious devotion, honesty, and sense of responsibility reflect strong moral foundations, setting him as a role model for aspiring athletes and individuals seeking success. Ronaldo's competitive spirit and high self-confidence have helped him achieve excellence on the field, while his professional attitude and exceptional work ethic highlight the importance of dedication and perseverance in achieving success. Furthermore, his discipline in training and love for his country portray a deep commitment not only to his career but also to his community and country. Additionally, Ronaldo's appreciation for achievement, communicative nature, and care for the environment demonstrate that his character extends beyond personal success, as he values teamwork and the well-being of others. His contribution to various charitable causes and societal issues further establishes his role as a responsible individual who uses his fame and fortune for the betterment of society. These character values make him an ideal role model, both in the world of sports and in broader society. We recommend Cristiano Ronaldo's character values as a role model for those who hope for a successful career, and inspiration for the practice of Islamic education values, as they encompass integrity, hard work, and social responsibility.

This study compares the performance of two deep learning models, namely Convolutional Long Short-Term Memory (ConvLSTM) and Long-term Recurrent Convolutional Network (LRCN), in the task of recognizing human activity from videos. Human activity recognition is an important field in computer vision with many applications, such as security monitoring, human-computer interaction, and social media-based video analysis. ConvLSTM is a model that combines convolution operations with long-term memory LSTM, thus capable of capturing spatial and temporal information simultaneously. This approach is ideal for processing video data sequences that have spatial and temporal dimensions. On the other hand, LRCN combines the power of spatial feature extraction from Convolutional Neural Network (CNN) and temporal sequence modeling through Recurrent Neural Network (RNN), specifically LSTM, to understand movement patterns in videos. The study used the UCF50 dataset consisting of 50 activity classes, but was limited to five classes for the focus of the experiment. The dataset was divided into 80% for training and 20% for testing, and the model was drilled for 50 epochs using early stopping to prevent overfitting. The results show that both models have high training performance. ConvLSTM achieved a training accuracy of around 98% and a validation accuracy of 90%, while LRCN achieved a training accuracy of 99.5% and a validation accuracy of 88%. Although ConvLSTM demonstrated good stability on the validation data, further testing using TikTok videos as real-world data showed that LRCN had a higher confidence level in recognizing activities, with most predictions achieving confidence scores above 80%. This difference in performance indicates that while ConvLSTM excels in generalizing on training data, LRCN is more robust to real-world data variations.

Ultraviolet (UV) radiation has been known to cause various adverse effects on the skin, including erythema (commonly referred to as sunburn), premature aging, and, with prolonged exposure, the risk of developing skin cancer. To counteract these harmful effects, sunscreen products are commonly used to protect the skin from UV radiation. The development of natural-based sunscreens is gaining attention due to their potential safety and antioxidant benefits. One promising natural ingredient is thyme (Thymus vulgaris L.), a medicinal herb that contains several secondary metabolites such as flavonoids, alkaloids, and tannins. These compounds possess antioxidant and free radical scavenging properties, making them suitable candidates as active ingredients in sunscreen formulations. This study aims to determine the Sun Protection Factor (SPF) value of thyme herb extract using the UV-Vis spectrophotometric method. A qualitative approach was used to assess the photoprotective potential of the extract. The SPF values were measured at three different concentrations of the extract: 0.5%, 0.75%, and 1.0%. The absorbance of each concentration was recorded at wavelengths ranging from 290 nm to 400 nm using a UV-Vis spectrophotometer. The SPF values were then calculated based on the absorbance data processed using Microsoft Excel. The results revealed that the thyme herb extract exhibited high SPF values at all tested concentrations. Specifically, the SPF values obtained were 36.027 for 0.5%, 36.244 for 0.75%, and 36.516 for 1.0% concentration. All three concentrations fall under the "ultra protection" category, indicating strong UV protective potential. These findings suggest that thyme herb extract can be effectively utilized as a natural active ingredient in the formulation of sunscreen products. Further studies are recommended to explore its stability, safety, and efficacy in topical applications.

This study aims to develop a contextual learning-based mathematics test instrument focused on Statistics and intended for eighth-grade junior high school (SMP) students. The instrument developed consists of essay questions designed by integrating real-life situations to make them more relevant and meaningful for students. This contextual approach is expected to help students understand statistical concepts more deeply and improve their ability to solve mathematical problems related to everyday life. In the instrument development process, a series of analyses were conducted to test the quality of the test items, including validity, reliability, discriminating power, and difficulty level. The validity of the test items was tested using the correlation between item scores and total scores, with the results showing that all test items had a correlation coefficient greater than the r value of the table, thus being declared valid. Meanwhile, the reliability coefficient obtained was 0.84, indicating that this instrument has a high level of consistency and is suitable for use in measurement. Analysis of the discriminating power showed that each test item had excellent ability to differentiate students with high and low abilities. The analysis of the difficulty level showed balanced variations, namely from easy, medium, to difficult categories. This variation is important to accommodate differences in student ability levels and reflect the diversity in the context of the problems presented. Overall, the results of this study indicate that the developed test instrument is of excellent quality and can be used as an evaluation tool to measure students' mathematical problem-solving abilities. Furthermore, this instrument supports more contextual, interactive, and meaningful statistics learning.

The lips are one of the most sensitive parts of the body and are highly vulnerable to damage from ultraviolet (UV) radiation from sunlight. Unlike other parts of the skin, the lips lack oil glands, making them more prone to dryness, chapping, and inflammation when not properly protected. One common method to maintain lip moisture and health is the use of lip balm. Natural lip balms made from ingredients such as beeswax and coconut oil are widely used due to their excellent emollient properties, which help moisturize and provide a protective layer on the surface of the lips. However, using natural lip balm alone may not be sufficient to offer complete protection, particularly against the harmful effects of UV rays. Therefore, innovation is needed by incorporating Sun Protection Factor (SPF) into natural lip balm formulations to enhance protection from sun exposure. This study aims to evaluate the effect of adding SPF to lip balm formulations based on beeswax and coconut oil, focusing on UV protection effectiveness, product stability, and moisturizing ability. The method involved formulating two types of lip balm—one with SPF and one without. UV protection effectiveness was tested using in vitro spectrophotometry, while moisturizing ability was assessed by measuring skin moisture content on the lips. In addition, physical characteristics such as texture, color, and stability under various storage conditions were analyzed. The results showed that the lip balm with added SPF provided significantly higher UV protection compared to the formulation without SPF. Furthermore, the addition of SPF did not reduce the moisturizing performance of beeswax and coconut oil and did not interfere with the overall product stability. In conclusion, integrating SPF into natural lip balm formulations is an effective innovation to enhance the protective function of lip care products without compromising their moisturizing benefits or user comfort. This combination provides a holistic solution for maintaining lip health while preventing UV-induced damage.

Digital transformation in the world of education is a strategic step to improve efficiency and quality of services, including in terms of attendance recording. This study aims to examine the change in the manual attendance system to digital in an effort to improve the quality of learning documentation at PPTQ Al Huda. The method used is a descriptive qualitative approach with data collection techniques through distributing questionnaires to teachers and academic staff. The results of the study indicate that the implementation of digital attendance has been significantly beneficial for the majority of respondents. This system is considered more practical, accurate, and efficient than manual methods. Digital attendance not only makes it easier to record student attendance, but also strengthens transparency, accountability, and supports data-based decision making. In addition, this system plays a role in improving student discipline and responsibility. Digital attendance has also been proven to reduce the practice of asking for attendance, minimize recording errors, and facilitate real-time data access by Islamic boarding school administrators. Ease of use and convenience of the system are also supporting factors for successful implementation. Moreover, the adoption of digital attendance encourages the development of a technology-based culture within the institution. It fosters digital literacy among educators and students, enhancing their adaptability to technology in daily academic routines. This transformation aligns with the broader educational goal of integrating technology to create a modern, effective, and sustainable learning environment. Therefore, the shift to a digital attendance system is not only a technical innovation but also a reflection of institutional commitment to continuous improvement and educational excellence. This innovation proves to be a relevant and strategic solution for strengthening educational administration in Islamic boarding schools.

This community service program aimed to enhance the safety compliance and service quality of gas station (SPBU) operators in Semarang through a structured refresher training initiative. The training was conducted over eight days and involved 120 participants from eight different SPBU locations. The program adopted a comprehensive approach by combining theoretical sessions, practical simulations, and role-playing exercises tailored to address real-world scenarios faced by SPBU personnel. Key training components included emergency response protocols, customer service excellence, complaint management, and adherence to safety procedures. The outcomes of the program showed measurable improvements. Post-training evaluations revealed a significant increase in participants’ knowledge and understanding of operational safety and service standards. Additionally, a notable reduction in emergency response times was observed during simulated drills. Feedback collected from the participants indicated enhanced confidence in handling routine operations, responding to customer complaints, and executing emergency procedures. This reflects the program’s success in not only increasing technical competence but also in boosting the professional demeanor of SPBU staff. Despite its success, the program encountered challenges, particularly in aligning the training schedule with participants’ daily work commitments, which occasionally hindered full attendance. To ensure long-term impact and continuity, the program recommends implementing annual refresher training sessions in collaboration with local safety and regulatory authorities. This would foster a culture of continuous improvement and compliance among SPBU operators, ultimately contributing to safer and more efficient fuel service operations in the region. Overall, the initiative highlights the critical role of ongoing professional development in enhancing service delivery and maintaining high safety standards in the fuel retail sector.

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

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

Produksi perhiasan emas PT Gemopia Indonesia melibatkan proses bombing, yang membutuhkan keakuratan tinggi untuk memastikan kualitas produk.  Beberapa kelemahan sistem pencatatan yang masih dilakukan secara manual menggunakan Microsoft Excel termasuk keterlambatan laporan, kurangnya keamanan data, dan kesalahan input yang tinggi. Tujuan penelitian ini adalah untuk mengembangkan dan membangun sistem informasi bombing emas berbasis web yang akan mempercepat proses pencatatan, meningkatkan akurasi data, dan memperbaiki alur pelaporan.  Pengembangan sistem ini menggunakan metode Waterfall, yang mencakup tahapan analisis kebutuhan, perancangan sistem menggunakan UML, pengembangan dengan framework Laravel dan database MySQL, dan pengujian dengan metode black box. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan dengan baik dan sesuai dengan kebutuhan pengguna, dengan fitur seperti perhitungan otomatis, hak akses pengguna bertingkat, verifikasi dan koreksi data produksi, dan pembuatan laporan dalam format PDF. Sistem mampu menerima input, memproses data , dan menghasilkan output yang tepat dan sesuai dengan spesifikasi.Oleh karena itu, sistem ini dinyatakan layak untuk diimplementasikan secara penuh dalam rangka mendukung efisiensi dan transparansi pelaporan produksi di PT Gemopia Indonesia.

This study is motivated by the need for an Islamic education model that can integrate religious values and intellectual intelligence amid the challenges of globalization and modernization in education. The pesantren system has excelled in shaping religious character through the instillation of values, role models, and spiritual life, while modern schools excel in developing critical thinking, scientific literacy, and adaptive skills in technology. This study aims to identify the main elements of religious and intellectual education, analyze the opportunities for synthesis between the two, and evaluate the supporting factors and obstacles in their application in the context of Indonesian education. The research method used was library research with a descriptive qualitative approach through content analysis of various scientific sources, journals, books, and educational policy documents from 2020 to 2025. The results of the study show that the synthesis of Islamic boarding schools and modern schools can be realized through the integration of curriculum, learning methods, and institutional culture that balances the spiritual and intellectual dimensions of students. This integrative education model emphasizes the importance of teachers with dual competencies, institutional management support, and adaptive curriculum policies. The implications of this study are theoretical and practical: theoretically, it enriches the concept of holistic Islamic character education, while practically, it provides direction for Islamic educational institutions to develop learning models that produce graduates who are faithful, knowledgeable, and have noble character.

This study aims to develop a data security system for the Pancadaya Waste Bank web-based application by implementing a hybrid cryptography algorithm combining AES and RSA. The main problem identified is the vulnerability of manually recorded and unsecured transaction data. The research applied a qualitative approach through interviews with system users and the Environmental Agency, as well as literature reviews on hybrid cryptography algorithms. The system was developed using the Rapid Application Development (RAD) method and implemented using PHP, MySQL, and the OpenSSL library. The results show that the system successfully encrypts transaction data using AES and secures the AES key with RSA, thereby enhancing data security. Testing with GTmetrix indicates excellent application performance. Furthermore, the system can display and decrypt real-time transaction data in receipt form for both deposit and withdrawal processes. This application provides an innovative solution to data management and transaction security issues in digital-based waste bank systems.