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This study aims to see the application of web-based administrative system innovation in maximizing administrative services. Using a qualitative approach, data was collected through interviews and literature study methods. The results of the study indicate that web-based administrative system innovation results in effective and efficient resource management, good data processing and information access, and transparency in administrative management. The findings outlined in this article have an important impact on the development and improvement of education in Islamic boarding schools.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

This research aims to determine the influence of Fixed Asset Turnover, Current Ratio, and Debt to Equity Ratio on Price to Earnings Ratio at PT. Wijaya Karya Tbk. Period 2012-2023. PT. Wijaya Karya Tbk. Is a construction company listed on the Indonesian Stock Exchange (BEI). This research recommends more efficient management of fixed assets and liquidity to improve company performance, the fixed asset turnover ratio reflects the efficiency of using fixed assets in a company to generate income, the current ratio represents the company's ability to meet short-term obligations, and the debt to equity ratio and shows the company's financial structure and influences the financial risks provided. This research method uses SPSS with the classic assumption test, t test and F test and from this research it results that Fixed Asser Turnover and Current Ratio have a strong influence on the Price to Earnings Ratio and Debt to Equity Ratio which have no influence on the Price to Earnings Ratio, and this research suggests further research by adding other variables to broaden the analysis.

Skipjack tuna (Katsuwonus pelamis) is a pelagic species that migrates long distances and inhabits all tropical and subtropical waters in the world's oceans. Proper and efficient processing is required in order to maintain the quality of the fish and obtain maximum final product results. One form of processing skipjack tuna is canned tuna. The aim of this research is to analyze the quality control of the canned skipjack tuna packaging process. The method used is data analysis using the seven tools method, data is processed using flowchart, check sheets, fishbone diagrams, scatter diagrams, Pareto diagrams, control charts and managerial implications. The results of this research were that within 11 days of canned tuna production, 3 types of product defects were found. Defects consisted of 54.63% dented cans, 25.00% lid scratches, and 20.37% can body scratches. These defects are caused by various factors such as humans, machines, methods and materials. The results obtained during 11 days of observing the production process, on the control chart there were no points that passed the Upper Control Limit (UCL) or Lower Control Limit (LCL), showed that the canned tuna production process is within control limits.

This research focuses on designing and simulating a makeup robot control system with a Human-Robot Interaction (HRI) approach. The main goal is to develop a robot that is not only efficient in applying makeup, but also able to interact directly with users. The design of this robot is designed with attention to anthropomorphism and non-verbal interaction, in order to improve user comfort and experience during the use process. This control system leverages cutting-edge sensor technology, such as facial recognition and expression analysis, to detect user emotions and adjust the robot's response in real-time. The simulation process is carried out using the Robot Operating System (ROS) to develop an algorithm that supports task coordination between robots and humans as well as interactive feedback. The results of the simulation show that the robot is able to recognize the user's emotions and adjust their actions, thus creating a more intuitive and responsive interaction experience. This research has made a significant contribution to the development of robotics technology in the field of beauty, thereby improving the user experience in personal care. The findings also pave the way for further research into more complex human-robot interactions that are responsive to individual needs.

The Zachman Framework is one of the methods that can be used to design systems in a structured and comprehensive manner. This study aims to apply the Zachman Framework to design the academic system at SMA Al Kautsar Bandar Lampung, resulting in a blueprint that serves as a guide for system development. The research method involves mapping each perspective in the Zachman Framework, namely Planner (scope), Owner (business model), Designer (system model), and Builder (technology implementation). The findings indicate that the Zachman Framework ensures that all essential aspects of the system are considered, resulting in a structured enterprise architecture design that is efficient and meets stakeholder needs. Furthermore, this framework has proven effective in integrating data and synergizing business functions in the academic section, supporting optimal operations. The implications of this study suggest that the Zachman Framework can serve as an alternative solution for designing and developing an organized, directed, and easily implementable academic system, thus improving the efficiency of business processes in educational institutions.

In the midst of the climate crisis and environmental damage that is increasingly real, the role of schools as educational centers is increasingly crucial. Not only producing a smart generation, schools have a great responsibility to become a motor of change towards a sustainable future. Green School Bali is an example of the application of the concept of green school that integrates the principle of sustainability in the design of buildings and the education system. By using natural materials such as bamboo that are environmentally friendly and sustainable, this school prioritizes energy conservation, natural lighting, natural ventilation, and efficient management of resources. This study aims to analyze the application of sustainable architecture principles in Green School Bali, using qualitative methods through secondary data analysis from documentation, reports, and related literature. The results show that building design not only minimizes negative impacts on the environment, but also supports the goals of continuing education. Green School Bali is an innovative model to create a learning environment that is in harmony with nature.

This study explores the implications of citizenship on land ownership rights within Indonesian agrarian law. It examines how citizenship status affects the rights to land ownership, focusing on the legal framework established by Indonesian laws, including the Basic Agrarian Law (UUPA) and other relevant regulations. The study employs a qualitative approach, utilizing literature review and case analysis to identify key issues and challenges in the implementation of land ownership laws. Findings reveal that full land ownership rights are exclusively granted to Indonesian citizens, while foreign nationals face significant restrictions. The research highlights several challenges in legal implementation, including bureaucratic inefficiencies and inconsistencies between laws and practical applications. The paper concludes with recommendations for regulatory reforms, improved administrative processes, and enhanced transparency to better support both domestic and foreign stakeholders in land ownership. These recommendations aim to address existing problems and facilitate a more equitable and efficient land management system in Indonesia.

The purpose of documenting the findings is to evaluate the extent to which the use of audio-visual media can implement learners' academic performance in Social Studies subjects at the primary school level. This research has been conducted using a qualitative method complemented by a descriptive approach, relying on data obtained from a literature review. Data sources include relevant scientific articles, books and journals that support previous findings and are in line with the main topic of this study.  The research shows that the use of audiovisual media has a significant impact on improving students' learning rubric in social studies subjects. Audio-visual media proved effective because it was able to encourage active student involvement through activities such as asking questions, discussing, and responding to the material presented. In this case, it was due to the efficient presentation of the video that was able to keep learners' attention and reduce the risk of boredom. Thus, this engagement contributes to their improved academic performance. The integration of audio-visual media in social studies learning in elementary schools has a major positive impact on students' academic achievement and learning motivation.

Microsoft Word is a word processing application widely used for creating, editing, and formatting text documents. This journal aims to explain the basics of operating and editing documents in Microsoft Word, from creating a new document, editing text, to formatting documents. The steps discussed include how to create a new document, edit and revise text, use the copy, cut, and paste features, as well as adjust text and paragraph formatting. In addition, this journal also covers the use of additional features such as spell check, track changes, and the insertion of images or tables. Through understanding these basics, users can utilize Microsoft Word more efficiently to produce well-structured and professional documents.

This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.

Educational administration is the entire process of working together by utilizing all available and needed resources to achieve educational goals that have been set effectively and efficiently. Educational administration is basically administration in processing, organizing and allocating the resources contained in the world of education. Facilities are all the facilities needed in the teaching and learning process, both moving and immovable, so that educational goals can be achieved and run smoothly, regularly, effectively and efficiently. Meanwhile, the definition of infrastructure is facilities that indirectly support the course of the educational process, such as; yard, garden or school garden, road to school, school rules, and so on. Administration of educational facilities and infrastructure is something that really supports the achievement of the goals of education, as education personnel we are required to master and understand the administration of facilities and infrastructure, to increase effective and efficient work power and be able to respect the work ethics of fellow educational personnel, so that harmony and comfort will be created which can create pride and a sense of belonging from both the school community and the surrounding community.

This study aims to analyze the performance of the mailing system information in an expedition company using the Unified Modeling Language (UML) approach. The mailing information system plays a crucial role in the smooth operation of the expedition company, particularly in managing the dispatch and delivery of letters and documents effectively and efficiently. This research uses a descriptive method with a quantitative approach to illustrate and analyze the extent to which the system's performance meets user needs. Data were collected through a questionnaire distributed to 25 respondents, consisting of 17 females and 8 males, to measure three key aspects of the system: user satisfaction, ease of use, and access speed. The results of the study show that the majority of respondents gave very positive assessments of the system. The easeof use aspect received the highest average score (4.4), followed by access speed (4.28) and satisfaction (4.24). However, there are areas that can still be improved, particularly regarding user satisfaction and system access speed for greater optimization. Overall, the study concludes that the mailing information system in the expedition companys functioning well, but the company needs to continue innovating and improving the system's performance to better meet user expectations.

The support for MSMEs (Micro, Small, and Medium Enterprises) is carried out through two different activities focused on business legality and the introduction of simple bookkeeping. First, a mentoring program for the use of the Buku Warung app helps MSMEs manage financial reports flexibly and efficiently. Through this training, MSMEs can record finances via a mobile app instead of manually, allowing for more consistent and streamlined record-keeping. Second, a mentoring program for obtaining a Business Identification Number (NIB) guides MSMEs in understanding the importance of NIB and the process to acquire it, which can open up access to funding and boost their economic growth. These two programs aim to strengthen MSMEs’ capacity in operational efficiency and business legality.

The study aims to measure the information content of the accounting profits of banks listed on the Iraqi Stock Exchange, as the sample included 10 banks for a period of 4 years (2016-2019). The study concluded that banks that have a high explanatory ability reflect greater stability in the stock price, which would reassure Investors and stakeholders, thus reducing dispersion and fluctuations in the stock price, while banks with weak explanatory power show higher volatility in the stock price, which indicates additional risks that increase the fluctuation in investor returns, and the influencing factors have a major role in enhancing or reducing the information content of profits. Which explains the discrepancy between banks, and the study recommended the need to enhance the quality of financial disclosure, especially banks with weak explanatory capacity, increase transparency, and work to enhance the informational content of profits, which in turn increases investors’ confidence in accounting information, as well as encouraging banks to strengthen their internal control systems, which helps in Reducing accounting errors and the accuracy of declared profits, thus stabilizing the share price. Strengthening the administrative capabilities of executive managers contributes significantly to enhancing the informational content of profits by allocating the company’s available resources efficiently and effectively.

This study aims to analyze the calculation of Cost of Goods Manufactured (COGS) and sales strategies at MSME Boembu Rumah Catering. Using a direct interview method with the business owner, this research explores the components of production costs which include raw materials, labor, and overhead costs. The results showed that Boembu Rumah Catering was able to determine a competitive and efficient selling price, thus achieving a profit of 98%. In conclusion, accurate COGS calculation and proper understanding of cost components can improve the efficiency and profitability of MSME businesses, while strengthening competitiveness in the catering market.  

The importance of utilizing digital learning resources for Social Studies (IPS) learning at Elementary School (SD) and Madrasah Ibtidaiyah (MI) levels is discussed in this article. The utilization of digital teaching materials is expected to improve IPS learning in a more interesting, dynamic, and efficient way along with technological advances. This study identifies various digital learning media, including web-based learning platforms, educational software, and instructional videos, that can be used in the context of IPS learning. The advantages and difficulties faced by teachers and students when incorporating digital media into the classroom are also discussed in this article. It is hoped that by using a digital approach, students will be able to better understand IPS content and develop 21st-century skills needed for everyday life. In addition, this article offers suggestions for the efficient use of digital learning resources that are appropriate to the needs of MI and elementary school students.

This research focuses on the development of automatic waste classification by applying the Convolutional Neural Network (CNN) method in a web-based application. This system is designed to help the waste management process through automatic sorting between organic and inorganic waste, so that it can support recycling efforts and reduce environmental impacts. In its application, this application utilizes the CNN algorithm to analyze images and recognize the type of waste with good accuracy. The development uses technologies such as Python and OpenCV to ensure efficient processing of image data, with the CNN model trained using a dataset of 22,564 images. Test results show excellent accuracy, reaching 99.27% for organic waste and 98.72% for inorganic waste.

OpenCV is a widely used library in the field of image processing and computer vision. Combined with Python's flexibility, OpenCV provides an extensive range of functions for efficient image processing, modification, analysis, and visualization. This paper aims to introduce the fundamental concepts of image processing using Python and OpenCV, including image reading, color conversion, edge detection, and image manipulation such as resizing and cropping. Furthermore, this study discusses basic analysis techniques like color distribution histograms and feature detection. By presenting these concepts, the paper aspires to help readers understand the foundations of digital image processing and explore the potential applications of OpenCV in practical fields such as pattern recognition, object detection, and image segmentation.

This study discusses the implementation of computer vision technology for face detection in photos using two sample images with variations in lighting and face pose. The developed system combines the Viola-Jones algorithm and Convolutional Neural Networks (CNN) to enhance resilience against lighting and face orientation variations. Experimental results show high accuracy even with only two sample images. This research also develops preprocessing techniques to handle extreme lighting conditions and demonstrates efficient implementation using Python and OpenCV.