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This study aims to analyze the implementation of efficiency, effectiveness, and consistency in the Standard Operating Procedure for goods procurement in the purchasing department of The Oberoi Beach Resort, Bali. This research employed a descriptive qualitative approach, with data collected through semi-structured interviews, observation, and documentation. The informants included parties directly involved in procurement activities, namely the Purchasing Manager, Purchasing Supervisor, Purchasing Staff, Receiving Staff, and user departments. Data were analyzed through data reduction, data display, and conclusion drawing and verification. The findings show that the goods procurement SOP has been implemented in a structured manner through Purchase Requisition submission, document approval, Purchase Order issuance, supplier ordering, and goods inspection by the receiving department. The SOP is effective in supporting hotel operational needs and relatively consistent because control stages are maintained even under urgent requests. However, efficiency has not been fully optimized because administrative and approval processes still rely on a manual paper-based system. Other barriers include inventory data input errors, supplier stock limitations, customs constraints, and weather-related distribution disruptions. This study recommends the implementation of e-procurement, stronger interdepartmental coordination, improved inventory data accuracy, and supplier diversification.

Logic gate learning is a fundamental topic in digital electronics; however, the learning process is often delivered theoretically with limited visualization of logic gate operations, making it difficult for students to understand the concepts. This study aims to design and develop an Augmented Reality (AR)-based learning media using a markerless approach with the 3D Object Tracking technique on Android devices. The application was developed using the Multimedia Development Life Cycle (MDLC) method, which consists of the stages of concept, design, material collection, development, testing, and distribution. The developed application provides three-dimensional visualization of logic gates, learning materials, interactive simulations, and quizzes. The application quality was evaluated based on the ISO/IEC 25010 standard, covering the aspects of Functional Suitability, Performance Efficiency, Usability, Compatibility, and Portability. The evaluation results showed that the application achieved a score of 100% in the Functional Suitability, Performance Efficiency, Compatibility, and Portability aspects. Meanwhile, the Usability evaluation obtained scores of 86,6% from respondents who had not previously studied logic gates and 89% from those who had, indicating that the application is categorized as highly feasible. Therefore, the developed markerless Augmented Reality-based learning media can serve as an interactive, engaging, and effective learning alternative for improving students' understanding of logic gate concepts.

This research aims to implement Business Intelligence and the TOPSIS method in a Decision Support System for selecting the best-selling products in retail stores through an analytical Dashboard. Retail businesses generate large amounts of transaction data every day, but the data is often only used for operational reporting and has not been optimally utilized for strategic decision making. This study integrates Business Intelligence technology, data Warehouse, ETL process, Dashboard Analytics, and TOPSIS method to analyze product sales patterns and determine the best-selling products based on several criteria such as sales quantity, stock turnover, profit level, customer demand, and sales frequency. The research method uses a system development approach consisting of data collection, dimensional modeling, ETL implementation, TOPSIS calculation, Dashboard design, and system evaluation. The results show that the implemented system can accelerate reporting processes, improve decision-making accuracy, and assist management in identifying strategic products quickly and interactively. The integration of TOPSIS with Business Intelligence Dashboards contributes to effective data-driven decision making in retail management.

The implementation of Income Tax Article 22 on import activities plays a strategic role in securing state revenue and controlling international trade flows. However, corporate taxpayers frequently encounter substantial barriers regarding regulatory compliance and technical administrative procedures. This study aims to analyze the compliance level of corporate taxpayers concerning the collection and reporting of Income Tax Article 22 on import activities, while identifying the primary obstacles faced during the process. The research employs a qualitative descriptive method with a case study approach conducted at the Tax Allowance Office. Primary data were gathered through semi-structured interviews with corporate taxpayers and tax authorities, supplemented by secondary data from tax compliance reports and related documentation. The findings indicate that while formal compliance regarding timely reporting has significantly improved due to digital administrative transformations like the e-Bupot system, substantial challenges remain in material compliance. Corporate taxpayers routinely face difficulties in classifying import tariff codes accurately and interpreting the frequent updates to tax incentives. This study implies that the tax authority needs to intensify specialized socialization programs and optimize the integration of data systems between the Directorate General of Taxes and the Directorate General of Customs and Excise. These strategic improvements are crucial to minimizing administrative discrepancies and enhancing overall tax compliance.

Differentiated instruction is an approach aimed at meeting students' learning needs based on their abilities, characteristics, and requirements. This study aims to describe the experiences of a fifth-grade teacher in implementing differentiated instruction at SD 3 Jepang Kudus. The study employs a qualitative approach using a phenomenological design. Data were collected through interviews, observations, and documentation, and subsequently analyzed using the Miles and Huberman model, which encompasses data reduction, data display, and conclusion drawing. Data validity was established through technique triangulation. The results indicate that the teacher perceives differentiated instruction as an effort to provide learning support tailored to students' needs. Implementation is carried out through adjustments to the learning process, guidance, peer tutoring, and the creation of an inclusive learning environment. This implementation has a positive impact on students' academic, social, and emotional development. Challenges encountered include the diversity of students' learning abilities and the suboptimal application of differentiation regarding learning products and assessments. These findings underscore the importance of teacher experience in optimally and sustainably accommodating students' learning needs.

Pierhead casting is a critical activity in toll road infrastructure projects that requires continuous concrete supply to maintain quality and execution time. Factors influencing the smooth casting process include the regularity of truck mixer arrival intervals and the work cycle of the truck concrete pump. This study aims to analyze the effect of truck mixer intervals and truck concrete pump performance on the productivity of pierhead casting at Pierhead P37S on the Solo–Yogyakarta–NYIA Toll Road Project, Section 2 Package 2.1A. The analysis method used field observation through time study techniques to measure the cycle duration of truck mixers and the operating time of the truck concrete pump. The analysis stages included calculating cycle time, productivity, production capacity, and working duration of each equipment. The results show that the truck concrete pump achieved a productivity of 0.425 m³/minute, while the truck mixer reached 0.989 m³/minute. These values were influenced by cycle time, equipment condition, work area condition, execution method, and work volume. Based on duration analysis, the truck concrete pump required about 4.7 hours to complete the casting of 120 m³ of ready-mix concrete, while the truck mixer required 2.022 hours to support the concrete supply process.

The role of guidance and counseling teachers in student career planning in vocational schools is still weak. The purpose of the study was to analyze the implementation of the BK service program in career planning for vocational school students. The study used a qualitative descriptive method. The study was conducted at SMK Muhammadiyah Paguyangan with research subjects being BK teachers, vice principals for curriculum, and vocational school students. Data collection through observation, interviews, and document studies. Data validation applied triangulation of sources and methods. Data analysis used the Atlas ti.8 application. Research stages; determining topics, compiling interview guidelines, selecting data collection methods, collecting data, analyzing data, and drawing conclusions. Research results; (1) the role of BK teachers in identifying students' potential, interests, talents, providing guidance in choosing education or careers, as motivators, facilitators, mediators, directors, program managers, and informants, (2) BK teacher strategies in student career planning; providing basic services to recognize self-potential, motivating, encouraging the use of technology, and digital platforms, and (3) implementation of BK programs through an integrated process, including; program planning, resource provision, implementation of evaluation services, feedback, and continuous improvement. Program innovation and monitoring are integral parts to maintain the relevance and effectiveness of BK services. The success of BK program implementation depends on the quality of coordination and commitment of all parties in developing the program.

Bendung Ranggah merupakan bendung yang terletak di DAS Sungai Ngeluk, Desa Materaman, Kecamatan Gembong, Kabupaten Pati, Provinsi Jawa Tengah yang mengairi daerah irigasi seluas 1,163,20 Ha. Bendung Ranggah  memiliki kerusakan pada komponen struktural yang dapat menurunkan kinerja. Oleh karena itu, penelitian ini bertujuan untuk mengevaluasi kinerja Bendung Ranggah berdasarkan kondisi fisik komponen utama bendung. Metode penelitian menggunakan pendekatan kuantitatif melalui observasi lapangan, pengumpulan data primer dan sekunder, serta analisis pembobotan Analytic Hierarchy Process (AHP) guna menentukan tingkat kepentingan per komponen terhadap kinerja bendung secara keseluruhan. Hasil penelitian menunjukkan bobot komponen pada mercu sebesar 56,81%, bangunan pengambilan 24,10%, bangunan penguras 13,33%, dan sayap 5,76%. Berdasarkan analisis kondisi, Bendung Ranggah mengalami kerusakan sebesar 26,56% dan masuk dalam tingkat kerusakan sedang. Secara keseluruhan bendung masih berfungsi, namun memerlukan rehabilitasi struktural secara terencana dan berkelanjutan agar kinerja bendung mampu mendukung sistem irigasi secara optimal.

Nugget is a high protein frozen food. Catfish is one of the raw materials that can be used to make nugget Catfish contains high protein, tastes good, has a soft texture and is relatively cheap. To increase the nutritional content, vegetables are added in the processing. Broccoli is one of the vegetables that can be added in making nuggets because contains high fiber and potassium. The purpose of this study was to determine the effect of adding broccoli with different concentrations on the crude fiber, potassium and organoleptic values of catfish nuggets. The research design used was a completely randomized design with 4 treatments, each with 3 replications. The treatment in this study was based on the concentration of broccoli added, namely B0 (0%), B1 (25%), B2 (50%) and B3 (75%). Parameters observed were crude fiber, potassium, and organoleptic value of catfish nuggets. The results showed that the addition of broccoli at various concentrations had a significant effect (P<0.05) on crude fiber, and potassium value but had no significant effect on organoleptic values. The most preferred nuggets with the addition of broccoli was treatment B1 (25%). The addition of broccoli in the processing of catfish nuggets can increase crude fiber and potassium.

This study aims to describe the morphological forms of slang, explain the processes of its formation, and analyze its frequency and distribution in the TikTok content of the account @shadirafirdausi. The study is motivated by the rapid development of slang on social media, particularly TikTok, as a platform where young people express identity, creativity, and social interaction. A qualitative descriptive method was employed using documentation techniques on three TikTok videos, including captions and comments with the highest numbers of views and likes during June–August 2025. Data were analyzed using the interactive model of Miles and Huberman, consisting of data reduction, data display, and conclusion drawing. The findings identified 36 slang words and phrases classified into four morphological processes: phonological modification (30.6%), shortening (30.6%), affixation (25.0%), and compounding with foreign element adoption (13.9%). Phonological modification and shortening were the dominant processes, while affixation and English borrowings further enriched the language forms. These findings demonstrate that slang in @shadirafirdausi’s TikTok content is formed through creative, productive, and adaptive morphological processes that reflect the preference of young speakers for concise, expressive, and easily understood language in digital communication.

Lake Rawa Pening is one of Indonesia’s priority lakes facing serious ecological pressure due to the rapid proliferation of water hyacinth. This study aims to classify and map the distribution of water hyacinth in Rawa Pening Lake during the 2021–2025 period and to analyze the seasonal distribution patterns of water hyacinth. Sentinel-2 imagery processed on the Google Earth Engine platform was classified using the Random Forest algorithm combined with hybrid sampling and spectral indices (NDVI, NDWI, MNDWI, and SRI). Classification accuracy assessment showed high performance with an Overall Accuracy of 97.45% and a Kappa coefficient of 0.949. The results indicate significant spatial-temporal fluctuations, with the highest coverage recorded in March–April 2021 (855.75 ha) and the lowest in May–June 2022 (108.44 ha). Seasonal-Trend Decomposition using Loess (STL) revealed consistent seasonal patterns, with peak expansion occurring during the rainy season, particularly in January–February. Although initial implementation of lake management policies reduced coverage, subsequent increases suggest that control measures remain insufficiently sustainable. This study demonstrates the effectiveness of cloud-based satellite monitoring for evaluating lake management policies and supporting evidence-based environmental management strategies.

The internship registration process at the Communication and Information Office of Tegal Regency is still carried out manually, resulting in several problems, such as lengthy registration procedures, difficulties in managing and retrieving data, and the risk of document loss. This study aims to design and develop a web-based internship registration information system that supports the registration, verification, selection, and information delivery processes in an integrated manner. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, and testing stages. The application was developed using the Laravel framework and MySQL database. System testing was conducted using the Black Box Testing method to ensure that all system functions operate according to user requirements.The results indicate that the developed system can simplify the internship registration process, improve data management efficiency, accelerate the selection process, and provide real-time registration status information to applicants. Based on the testing results, all system features function properly and meet the predetermined functional requirements.

Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

This study aims to analyze the relationship between epistemology and scientific logic in the development of scientific knowledge using a library research approach by reviewing relevant literature in the fields of philosophy of science, theory of knowledge, and principles of scientific logic. The findings indicate that epistemology serves as a philosophical foundation for understanding the origin, structure, and validity of knowledge, while scientific logic functions as a systematic tool that guides reasoning in constructing rational and consistent scientific truth. Both have a complementary relationship, where epistemology provides a normative framework for determining the criteria of knowledge validity, and scientific logic ensures that the reasoning process is structured, coherent, and free from fallacies. Therefore, the integration of epistemology and scientific logic plays a crucial role in producing scientific knowledge that is objective, measurable, and academically accountable, while also enhancing the overall quality and credibility of the scientific process.

Good study habits are an important factor in achieving success in elementary school learning. However, based on observations in class 3 of SDN 1 Bugel, it was found that students still show less disciplined behavior during the learning process, especially during group activities, such as talking without permission, not paying attention, and not following classroom rules. This study aims to improve students' study discipline in grade 3 of SDN 1 Bugel by using the Star Rewards system within the cooperative learning model called Numbered Heads Together (NHT). This study uses the Classroom Action Research (PTK) approach with a two-cycle design following the Kemmis and McTaggart model. The research subject is 17 third-grade students from SDN 1 Bugel. Data collection was done through observation, questionnaires, documentation, field notes, and interviews. Data analysis was done using both quantitative and qualitative descriptive techniques. The research results show that using the Star Rewards system in cooperative learning type NHT has significantly improved students' discipline in studying. The average score on the discipline questionnaire increased from 69.5 in cycle I to 85.5 in cycle II, showing an increase of 16.03 points. The minimum score for students has gone up from 50 to 75, showing that all students have improved in terms of discipline. Giving positive reinforcement through stars has been proven to motivate students to be more disciplined, focused, and responsible during learning. This finding suggests that combining the NHT model with the Star Rewards system can be an effective strategy for helping build discipline in elementary school students.

This study addressed the lack of visual communication media within PT Mensa BinaSukses, which resulted in a lack of togetherness. The visual media at the previous event failed to effectively convey the main message to the employees. To solve this problem, the researchers redesigned the visual communication tools, specifically banners and digital posters, using a User-Centered Design approach. The redesign process applied visual communication principles, focusing on color psychology, typography, and structured layouts to enhance message readability. The evaluation revealed a significant increase in the level of employee attendance. The survey results indicated that the redesigned visual media successfully captured employee attention, clarified event information, and fostered a strong sense of togetherness and collaboration with the company.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

This research focuses on developing an ERP application accessible through a web platform by utilizing the Laravel framework to support operational data integration within the company. The application development process adopted the Waterfall approach, which was carried out through several sequential stages including requirements identification, system design, implementation, evaluation, and maintenance. Laravel was used as the development framework and MySQL as the database management system. The findings indicate that the developed application is capable of consolidating operational information into a unified platform that can be accessed by different organizational units.

Local wisdom, particularly traditional snacks, constitutes an essential part of national cultural identity that needs to be introduced from an early age. However, observations at SDN 1 Tanggungharjo revealed that students' understanding of traditional snacks remains low, compounded by a lack of contextual and engaging visual learning media. This study aims to design an illustrated book titled "Belajar Jajanan Tradisional" (Learning Traditional Snacks) as a local wisdom-based educational medium for grades 3–6 students at SDN 1 Tanggungharjo. The Design Thinking method was employed through five stages: Empathize, Define, Ideate, Prototype, and Test. Data were collected through direct observation, teacher interviews, and student questionnaires. The outcome is a 20-page digital illustrated book in A5 PDF format covering four traditional snacks — klepon, dadar gulung, apem, and kue lapis — with content encompassing their origins, philosophy, cultural values, ingredients, and preparation processes. The applied design elements include character personification, vector cartoon style, bright color palettes based on the snacks' natural colors, rounded sans-serif typography, and a charactercentered layout tailored to the cognitive characteristics of students aged 9–12 years. Trial results demonstrated that the illustrated book effectively enhanced students' understanding of and interest in traditional snacks, while receiving positive feedback from teachers as a contextual and meaningful supplementary medium for thematic learning. 

Early Marriage in Pagar Alam City is currently still quite high, the Pagar Alam Religious Court only relies on a recap of the number of cases per year to draw conclusions about the early marriage data. This method has limitations in classifying early marriage factors, so the Religious Court has difficulty in monitoring and controlling the occurrence of Early Marriage in Pagar Alam City. The purpose of this research thesis is to produce a classification system for Early Marriage factors using the K-Nearest Neighbor Algorithm to find out what factors influence the occurrence of Early Marriage, the method used in this study is the Cross Industry Standard Process for Data Mining (CRISP-DM) which has 6 stages, namely: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The testing stage in this study uses Confusion Matrix and BlackBox Testing. The final results of this study indicate that the system can classify Early Marriage factors. The classification model built achieved an Accuracy of 94.12% and a Precise value of 85.71% and a Recall value of 100.00%, while testing using Black Box testing in the form of alpha obtained a feasibility value of 83.2%, so this system is very suitable for use.