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This study was conducted based on the low level of student activeness and understanding in IPAS learning at the elementary school level. The objective of this research was to determine the effectiveness of the role play method in improving students’ activeness and learning outcomes. This study employed a classroom action research approach involving 27 students. The data were collected through observation and evaluation of student learning outcomes. The findings revealed a significant improvement in both student participation and understanding after the implementation of the role play method. Students became more active in asking questions, responding to the teacher, and participating in classroom activities. In terms of learning outcomes, 85.2% of students were able to answer questions correctly and demonstrated good understanding, while the remaining 14.8% also achieved the minimum criteria. These results indicate that learning through direct experience enhances students’ comprehension. The implication of this study suggests that the role play method can be used as an effective alternative teaching strategy to create an interactive, engaging, and student-centered learning environment in elementary education.

This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven manner. The research adopts a descriptive quantitative method using surveys and system testing with 50 respondents. Results indicate that the application functions as designed, with no significant bugs detected. User evaluation shows high satisfaction, with an average score of 4.3 out of 5, covering ease of use, interface design, and increased awareness of saving. The combination of gamification, reward systems, and adaptive personalization successfully motivates users to save regularly. This system demonstrates the potential of integrating AI-driven personalization to strengthen financial literacy and healthy financial habits among students in a fun and interactive way.methods, and a summary of the results. The abstract should end with a comment about the significance of the results or conclusions brief.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

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Along with the times, computer technology is developing very rapidly. The increasingly rapid development of computer technology means that everyone is required to utilize computer technology in their daily lives. Utilization of technology is one of the implementation roles of scientific disciplines. The reason behind the formation of this research is so that in the future it will become a fun learning concept in the introduction of objects and shapes in children and the motor development of children. children are usually more interested in seeing pictorial text, or pictures that contain lots of color. The Viola Jones method itself was chosen as the research completion algorithm. The Viola Jones method is usually used as a method in research that discusses the detection of objects, faces and others. The Viola Jones method was chosen because it has a high level of accuracy that can reach 100% probability.

This study aims to determine the soil classification of rock disintegration products based on the Unified Soil Classification System (USCS) and analyze its relation to sample depth variations on the lowwall slope of Pit North, PT Karya Putra Borneo, Kutai Kartanegara Regency, East Kalimantan. Soil samples were obtained through the Slake Durability test, simulating rock weathering from wetting and drying cycles, producing fine particles classified as weathered soil. These samples were analyzed for physical properties using Atterberg Limits tests and Grain Size Analysis. Observation point coordinates were X 508523.011 m, Y 9922791.186 m, at an elevation of 87.548 m. Drilling indicated soil material at 0–1.5 m depth; claystone with coal fragments at 2.97–4.44 m; siltstone with coal fragments at 4.44–10.55 m; and claystone at 12.05–29.36 m. USCS classification showed the materials were dominated by fine-grained soils: clay (CL) and silt (ML), with minor silty sand (SM). Correlation with borehole depth revealed no significant changes in soil classification, indicating that depth variations primarily affect soil physical properties rather than its classification type.  

The selection process for accepting new employees is one of the important stages in a company to ensure that the candidates accepted have qualifications that suit the company's needs. At WINMART, the selection process is still carried out manually, so it is less efficient and prone to errors. Therefore, a system is needed that can assist in more objective and efficient decision making. This Decision Support System (DSS) is designed to assist the selection process for recruiting new employees using the Simple Additive Weighting (SAW) method, which can assess several relevant criteria, such as work experience, education, skills and competency tests. This system was built on a web basis, so it can be easily accessed by parties involved in the selection process, such as HRD and managers. The SAW method was chosen because of its ability to convert various subjective criteria into more objective numerical scores, so that selection results can be more transparent and accountable. By using this system, it is hoped that it can increase efficiency, accuracy and transparency in the new employee selection process at WINMART, as well as facilitate decision making in selecting candidates who best suit the desired criteria.

This study aims to develop a sentiment classification method for YouTube user comments related to the game Love and Deepspace using the Naïve Bayes algorithm, focusing on improving the text data processing and understanding user perceptions. Comment data were collected through scraping from YouTube videos, followed by preprocessing including text cleaning, normalization, stopword removal, stemming, and translation into English. Initial labeling was conducted using TextBlob, then the data were randomly sampled for training the Naïve Bayes model. Evaluation involved comparing sentiment distributions and visualization using Word Cloud and bar charts. The Naïve Bayes model achieved an accuracy of 77.36% in sentiment classification. The sentiment distribution shows differences between TextBlob (positive: 1,011, neutral: 1,312, negative: 575) and Naïve Bayes (positive: 901, neutral: 1,627, negative: 370), with Naïve Bayes being more conservative. The Word Cloud visualization identifies dominant words such as "bang," "game," and "main," while the bar chart shows the largest proportion of neutral sentiment. Naïve Bayes is effective for sentiment classification on informal comment data, with significant differences from rule-based methods like TextBlob. This research contributes to the development of text data processing techniques and user perception analysis, as well as opening up optimization opportunities with other algorithms like SVM for better accuracy.

PT. X is a textile company that produces greige fabric. One of the crucial stages in the greige fabric production process is inspection. Currently, the facility layout of the inspection area at PT X is still suboptimal. This results in longer fabric movement distances and increased time, leading to delivery delays and higher material handling costs. This study aims to design an optimal facility layout in the inspection area using the Activity Relationship Chart (ARC) method and to determine the distances, times, and costs for the proposed layout. In the initial production layout, the fabric movement distance reached 26,130 meters in one working day, and the fabric movement time was 936 minutes. Furthermore, the initial production layout generated a relatively high OMH of Rp 13,742,980 per month. After designing the facility layout using the Activity Relationship Chart (ARC) and Blockplan methods, the proposed layout was arranged according to the production process sequence, resulting in a smoother material flow. The proposed layout yields 16,830 meters of fabric movement per workday, 660 minutes of required time, and a monthly OMH of Rp 7,945,622, with an efficiency of 39.32%.

Breast tumors are classified into two types, namely benign and malignant tumors, the latter commonly referred to as breast cancer. Breast cancer is one of the major health problems affecting women worldwide, including in Indonesia. According to WHO data in 2022, there were 2.3 million breast cancer cases with 685,000 deaths globally, while in Indonesia, 396,914 cases and 234,511 deaths were reported. The high incidence rate is exacerbated by low public awareness in recognizing early symptoms and performing early detection, resulting in 60–70% of cases being diagnosed at an advanced stage, supported by findings that 65.6% of female students still have a low level of knowledge. Female students were selected as research subjects because they are in a vulnerable reproductive age group and have an important role in increasing awareness of early detection, yet they still have limited knowledge. Based on this, this study aims to design a web-based early detection system for breast tumor risk using the Forward Chaining method, which functions as a tool to identify early symptoms, assess risk levels, and provide information on prevention and initial management. This study employed the method with the Expert System Development Life Cycle (ESDLC) model, consisting of the stages of assessment, knowledge acquisition, design, testing, and documentation, along with the Forward Chaining inference method.

This study aims to design and develop a web-based sales information system for a goat farming business at Herman Farm using the Rapid Application Development (RAD) method. The identified problems include manual transaction recording, stock management, and sales reporting processes, which are inefficient, prone to errors, and unable to provide real-time data access. The RAD method is selected due to its ability to accelerate system development through an iterative approach and active user involvement in each stage, including requirements planning, system design, construction, and implementation. Data collection techniques include observation, interviews, and literature studies. The developed system provides features for managing goat data, sales transactions, customer management, and integrated sales reporting within a web-based platform. The results show that the system improves efficiency in data management and transaction processes, while producing more accurate, structured, and accessible reports. Therefore, this system can assist Herman Farm in optimizing its sales operations and expanding its online marketing reach.

This final project was an audiovisual feature video that explored the issue of uncertainty among informal sector workers, particularly porters at train stations. The work was motivated by the limited representation of porters, despite their important role in supporting transportation services. This report aimed to explain the application of the three-act structure in scriptwriting, consisting of Act I (Set Up), Act II (Confrontation), and Act III (Resolution). The production process included pre-production, production, and post-production stages, with scriptwriting as the main focus in constructing a structured narrative. In Act I, the work introduced the station environment and the porter profession to build audience understanding. Act II developed the conflict through the portrayal of job uncertainty, income instability, and the daily life of the main subject. Act III presented a reflective conclusion through multiple perspectives and symbolic visuals. The result showed that the three-act structure effectively created a systematic narrative flow and strengthened message delivery. In conclusion, the human-interest approach combined with observational visuals effectively conveyed social realities and fostered audience empathy toward informal workers.

Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas.

Fiqh learning education activities play an important role in improving early childhood worship awareness, particularly in understanding the pillars of Islam as the foundation of Islamic teachings. This study was motivated by the low level of children’s understanding of the pillars of Islam, which was caused by learning methods that were less engaging and less interactive. Therefore, this study aims to improve the understanding, habituation, and worship awareness of early childhood through the use of a simple, communicative, and easy-to-understand lecture method at TPQ Al-Hidayah, Pacar Kembang, Surabaya. This study employed a Participatory Action Research (PAR) approach consisting of several stages, namely problem identification, learning planning using the lecture method, implementation of activities, evaluation, and joint reflection to enhance learning effectiveness. The results showed that fiqh learning through the lecture method had a positive impact on improving children’s understanding of the pillars of Islam, developing worship habits, and fostering full awareness in carrying out daily worship practices. Thus, the lecture method is considered effective in enhancing understanding and worship awareness among early childhood learners.

The Qiroati method is an instructional approach to reading the Qur’an that emphasizes direct practice of tartil recitation in accordance with the rules of tajwid. This method is practical, systematic, and implemented gradually, meaning that learners are not allowed to proceed to the next level before achieving fluency at the current stage. One of the main challenges in learning to read and memorize the Qur’an is the limited use of structured teaching methods, as some teachers still rely primarily on personal experience and conventional reading approaches. This condition contributes to students’ lack of fluency in reading and memorizing the Qur’an, as well as decreased learning motivation due to monotonous and less effective instructional practices. This study aims to examine the implementation of the Qiroati method in improving students’ Qur’anic reading ability within the Tahfidzul Qur’an program at SMP Daruttaqwa Full Day School. The findings are expected to provide useful insights for educators and contribute to academic knowledge. This research employs a field research design with a descriptive qualitative approach, focusing on describing the application of the Qiroati method in enhancing students’ reading ability in relation to Qur’an memorization. Data were collected through interviews, tests, and documentation, while data analysis involved data collection, data display, and conclusion drawing. The results indicate that the implementation of the Qiroati method effectively improves students’ ability to read the Qur’an in the Tahfidzul Qur’an program. This is evidenced by the improvement in students’ reading scores compared to their previous performance. In practice, the method involves teachers modeling correct recitation, followed by students reading collectively. Therefore, the Qiroati method not only enhances students’ accuracy in reading the Qur’an but also fosters a more engaging and effective learning environment.

Post section caesarea (SC) and method of operative female sterilization (MOW) are surgical procedures that may cause various problems, such as pain, limited mobility, decreased muscle strength, and risk of postoperative complications. Physiotherapy management through exercise therapy is an important intervention to accelerate the recovery process. Objective this study aimed to determine the effectiveness of exercise therapy in improving the functional condition of patients post SC and MOW in Annisa Ward 32 A at PKU Muhammadiyah Karanganyar Hospital. Method: used was a case report on a 33-year-old female patient following SC and MOW procedures. The physiotherapy interventions included deep breathing exercises, active range of motion exercises of the extremities, light abdominal muscle contractions, gradual early mobilization, as well as breast massage and oxytocin stimulation. The results showed a reduction in pain from a scale of 4–5 to 2–3 based on the Numeric Rating Scale (NRS), improvement in mobility such as independent position changes, and increased activity tolerance, including sitting and walking with minimal assistance. In addition, the patient showed increased confidence in performing daily functional activities. Conclusion: exercise therapy has a positive effect on improving mobility, reducing pain, and accelerating functional recovery in post SC and MOW patients. Therefore, exercise therapy is recommended as an essential component of postoperative physiotherapy management to improve patients' quality of life.

Low-rank coal generally has a high moisture content, which results in a low calorific value and suboptimal quality for utilization as an energy source. One method that can be applied to improve coal quality is the Upgrading Brown Coal (UBC) process, which functions to reduce moisture content and increase fixed carbon value. This study aims to analyze the effect of heating time and the ratio of used oil composition on improving coal quality based on proximate parameters. The research method includes collecting coal samples from four locations in Samarinda and its surrounding areas, namely SMAN 1 Samarinda, Bhineka Street, Palaran Stadium, and Tani Bakti Village. The samples were analyzed using proximate analysis, including inherent moisture (IM), ash content (AC), volatile matter (VM), and fixed carbon (FC), both before and after the UBC process. The upgrading process was carried out with variations in heating time and used oil composition as a coating medium to enhance coal stability and prevent moisture reabsorption. The final results of the upgrading process showed the best values of inherent moisture at 13.64%, ash content at 4.66%, volatile matter at 55.06%, and fixed carbon at 44.94%. The results indicate that the UBC process is capable of reducing inherent moisture and increasing fixed carbon, thereby improving coal quality. Variations in heating time and used oil composition have a significant effect on changes in proximate parameters. Longer heating time and an appropriate ratio of used oil composition result in a more optimal improvement in coal quality.

Tiku Beach in Tanjung Mutiara District, Agam Regency, West Sumatra is a 12.77 km coastal area experiencing continuous shoreline changes due to abrasion and accretion. This study aims to identify and map shoreline changes and calculate the area of abrasion and accretion in 2014, 2019, and 2024 using the Modified Normalized Difference Water Index (MNDWI) method based on Landsat 8 OLI satellite imagery. The MNDWI method utilizes the reflectance difference in the Green band (Band 3) and SWIR band (Band 6) to automatically separate the land-water boundary. Shoreline change analysis was performed using Net Shoreline Movement (NSM) and End Point Rate (EPR) methods through ArcGIS 10.8 software with the Digital Shoreline Analysis System (DSAS) extension. Analysis of 336 transects shows that accretion is more dominant than abrasion along Tiku Beach. The largest accretion was recorded at transect 230 with an NSM value of 71.3 m and an EPR rate of 7.12 m/year, while extreme abrasion occurred at transect 249 with an NSM value of -121.67 m and an EPR rate of -12.15 m/year. The evolution of the shoreline shows that in 2014 the coastline was still relatively stable, then in 2019 mild abrasion occurred in the west along with accretion in the east, and by 2024 this pattern became more pronounced. The results of this study are expected to serve as a scientific basis for decision-making in coastal disaster mitigation planning and sustainable coastal management in Agam Regency.

This study aims to analyze the implementation of the memorization method of the Jurumiyah book in improving students’ understanding of the yellow book at Al-Istiqomah Islamic Boarding School, identify supporting and inhibiting factors, and examine its contribution to students’ learning abilities. This research employed a descriptive qualitative field study conducted at Al-Istiqomah Islamic Boarding School in Tanjungsari Village, Petanahan, Kebumen, from December 2025 to February 2026. The research subjects included caregivers, khadimul ma’had, ustadz or ustadzah, and students. Data were collected through interviews, observation, and documentation, then analyzed descriptively. The findings show that the memorization method of the Jurumiyah book is implemented through stages of preparation, memorization deposit, and evaluation. In the memorization process, students not only memorize the text but also understand its meaning and apply nahwu rules in reading the yellow book. Several supporting techniques, such as lalalaran, association, the cantol system, and tikrar, help strengthen students’ memorization. Supporting factors include motivation, discipline, teacher guidance, and a conducive environment, while inhibiting factors include differences in students’ abilities, lack of concentration, and limited learning time. Overall, the method contributes positively to improving students’ ability to read and understand the yellow book.  

This study aims to design and develop a web-based New Student Admission System (PPDB) Website at MIS Chairul Bariyyah Medan Krio to overcome the limitations of manual registration systems. The method used is Agile, as it supports iterative, flexible, and adaptive system development according to user needs. Data collection techniques include observation, interviews, literature study, and documentation. The system is developed using the Python programming language with the Django framework and MySQL database. The results show that the developed system improves the efficiency of the registration process, minimizes data recording errors, and facilitates real-time management of applicant data. In addition, the Website also serves as an information and promotional medium for the school that can be accessed anytime. Based on Blackbox testing and User Acceptance Test (UAT), the system is proven to run well and is easy to use. Therefore, this web-based PPDB system is effective in improving the quality of Administrative services at MIS Chairul Bariyyah.