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This study aims to design a web-based information system for vehicle management and monitoring at Bengkel Merdeka Motor, which previously relied on manual recording processes. Manual data management caused several problems, including data loss, inaccurate records, difficulties in monitoring service progress, and delays in report generation. This research applies the Object-Oriented Analysis and Design (OOAD) method supported by Unified Modeling Language (UML) to analyze system requirements and design the proposed system. The research methodology includes requirements analysis, analysis of existing and proposed systems, system design, and user interface design. The proposed system integrates vehicle data management, service offers, work orders (SPK), service progress monitoring, invoice generation, and automatic monthly reporting into a single web-based platform. The results show that the designed system improves data accuracy, operational efficiency, and transparency of service information. In addition, real-time monitoring features support better coordination between administrators and mechanics. The implementation of this system is expected to enhance service quality, reduce administrative errors, and support managerial decision-making at Bengkel Merdeka Motor.

Currently, the skills needed to advance a tourist area are influenced by the availability of human resources who can speak English and understand local culture well. Unfortunately, improving English proficiency remains a challenge. Additionally, another issue appears as the Alpha generation is exposed to a great deal of English-language social media content; however, this does not appear to be directly correlated with an improvement in their English proficiency. It appears that the English Club instructors at SMA Fons Vitae 1 Jakarta were also aware of these two problems. Therefore, on September 11, 2025, an ABDIMAS activity entitled "Giving and Asking for Direction" training was held with the production of a short film. This activity was attended by 15 participants, 10 boys and 5 girls, a combination of students from grades 10 and 11. The results of the training showed that the pre-production process of making a short film provided a space for participants to recognize and explore Indonesian cultural heritage. Furthermore, the production process of making a short film made participants not afraid of speaking English. In the post-production process, participants can also edit parts of the video that are less than satisfactory because they can re-record if there are errors in pronunciation and grammar.

The attendance recording system at PLN ULP Tanjungbalai still relies on manual, paper-based methods, resulting in delays in data recap, reduced efficiency, and a high potential for recording errors. This condition affects the accuracy of employee attendance information, which is essential for administrative activities and managerial decision-making. Based on these issues, this practical work aims to design and develop a web-based e-attendance application as a solution to enhance efficiency, processing speed, and the accuracy of attendance recapitulation. The system was developed using PHP as the programming language and MySQL as the database management system, following several stages including requirement analysis, system design using UML, and implementation of a web-based user interface. The application provides essential features such as user login, daily attendance recording, employee data management, attendance notes (permission, sickness, etc.), and automatic attendance report generation. The system is designed for two types of users—Admin and Employees—each with specific access rights. The implementation results indicate that the e-attendance application significantly improves the efficiency of attendance administration at PLN ULP Tanjungbalai. Data collection and recapitulation become faster, more structured, and less prone to errors, while also enabling administrators to monitor employee attendance in real time. Therefore, this web-based e-attendance application serves as an effective solution to support operational activities and enhance the quality of employee attendance management.

The use of protective equipment in the form of helmets is an important aspect of ensuring motorcycle rider safety. However, violations of helmet usage still frequently occur and are difficult to monitor continuously. This study proposes a real-time helmet detection system using the YOLOv8 object detection method. The YOLOv8n model was trained using a helmet and no-helmet image dataset that underwent data augmentation to improve the model’s robustness against variations in environmental conditions. The system was implemented using the Python programming language with the support of the Ultralytics and OpenCV libraries. The system input was obtained from a webcam with a resolution of 640×640 pixels, where each video frame was processed in real time to detect the Helmet and No Helmet classes. The system displays bounding boxes and class labels in real time and is equipped with a violation duration calculation mechanism. When a no-helmet condition is detected continuously, the system generates pop-up alerts and automatic notifications via the Telegram application. The experimental results show that the system is capable of detecting helmet usage and no-helmet violations in real time with stable performance. The integration of violation duration calculation helps reduce momentary detection errors and improves the reliability of identifying valid violations

Hijaiyah letters have varying shapes, and some of them are very similar, often causing errors in the manual character recognition process. This study aims to classify Hijaiyah letters based on digital images using the Convolutional Neural Network (CNN) method. This method was used in this study with a dataset consisting of 28 letter classes and a total of 4,480 images obtained from various public sources and private data. All images underwent a preprocessing stage that included labeling, resizing, normalization, and augmentation, then were divided into three parts, namely training data, validation data, and test data with a ratio of 70:20:10. The training process was carried out using the Python programming language with the help of the TensorFlow and Keras libraries on the Google Colab platform. The test results showed that the CNN model achieved an accuracy of 97.10%, with an average precision, recall, and F1-score of 0.97, respectively. Classification errors only occurred in letters that had similar shapes, such as Syin and Sin. Based on these results, the CNN method proved to be effective, efficient, and accurate in recognizing Hijaiyah letter image patterns, so it can be used as a basis for developing classification models with higher accuracy in the future.  

This study aims to optimize Indonesian language development, especially in correcting language errors in seventh-grade students through French fries as an interactive learning tool. This classroom action research was conducted in one cycle on 30 students of grade VII-E of SMP Negeri 12 Tasikmalaya in the 2025/2026 academic year. A qualitative approach with data collection techniques in the form of observation, sentence correction tests, interviews, and documentation was used in this study. The results showed that the use of French fries media with incorrect sentences in it can improve students' ability to identify and correct errors in spelling, grammar, and word choice. The percentage of completeness of sentence correction skills increased from 33.33% (pre-action) to 86.67% after the implementation of the action. This media can also increase student motivation and involvement in learning. It can be concluded that this French fries media is effective to be used as an aid in Indonesian language development that is fun and highly contextual.  

Indonesian Sign Language (BISINDO) serves as a primary communication medium for the deaf community; however, limited public understanding often creates barriers during daily interactions. This study aims to develop a real-time BISINDO word-level translation system using hand landmark extraction and temporal modeling with Long Short-Term Memory (LSTM). The system employs MediaPipe Hands to detect 21 hand landmarks per frame, which are then processed as sequential motion patterns to classify five BISINDO words: saya, terima kasih, maaf, nama, and kamu. A total of 250 gesture samples were recorded under controlled lighting conditions as the primary dataset. The processed sequences were used to train the LSTM model, which was subsequently integrated with an ESP32 microcontroller and a DFPlayer Mini module to produce direct audio output. Experimental results show that the model achieved an average accuracy of 86%, with precision and recall values ranging from 0.81 to 0.94. The confusion matrix analysis indicates that most gestures were correctly classified, although some errors occurred in gestures with similar initial motion trajectories. Integration testing demonstrated an average system latency of 3.8 seconds and an audio output success rate of 85%. These findings indicate that the proposed system is capable of translating BISINDO word-level gestures accurately, responsively, and consistently in real-time conditions. This study provides a strong foundation for the broader development of sign language translation systems, with potential enhancements in vocabulary expansion, multi-user datasets, and hardware optimization for deployment in real-world environments.

Financial administration plays a crucial role in village-level governance, requiring transparency, accountability, and efficiency in the use of public funds. Currently, the Hameli Ate Village Office still relies on manual methods to manage its financial administration, including recording cash receipts and expenditures using notebooks and simple spreadsheets. This approach presents various issues, such as the risk of data loss, calculation errors, delays in report preparation, and difficulties in tracking and collecting financial transaction data. This study aims to develop a web-based financial administration information system to assist village officials in managing financial data more effectively, efficiently, and in an integrated manner. The methods applied include observation, interviews, and document collection to understand system requirements, while the system development process is implemented using the Waterfall model, which consists of the stages of analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language and a MySQL database and is designed to generate financial reports automatically and in real time. The testing results show that the system can handle income and expenditure data more quickly, accurately, and in a user-friendly manner. With the implementation of this information system, the financial administration process at the Hameli Ate Village Office becomes more transparent, accountable, and facilitates data-driven decision-making.

This study aims to describe the implementation of Indonesian grammar coaching through language quizzes and examine its effectiveness in improving the language skills of fifth-grade students at SDN Nyantong. The background of this study is based on the low ability of students to understand and use standard words, spelling, and punctuation in accordance with the applicable rules of Indonesian language. This condition requires more interesting, creative, and interactive learning innovations so that students are more motivated to learn grammar. The research method used is descriptive qualitative with data collection techniques through direct observation, interviews with teachers and students, and documentation of learning activities carried out in the classroom. The results showed that coaching activities through language quizzes increased students' activity, motivation, and interest in learning Indonesian. Through these activities, the learning process became more enjoyable and interactive, encouraging students to participate actively and express their opinions. Students showed a significant improvement in the correct use of standard words, spelling, and punctuation in both written and spoken contexts. However, there were still obstacles in the form of difficulties in distinguishing between standard and non-standard words and errors in the use of prepositions due to the influence of everyday language habits. Overall, language quizzes have proven to be an effective and relevant innovative learning strategy for improving Indonesian grammar skills in elementary schools.

The advancement of digital technology has driven many service companies to transform toward faster, more efficient, and accurate systems. Himeji Express Banjarmasin, a company engaged in the field of goods delivery services, still faces challenges in data management and service processes that are mostly carried out manually. This condition leads to delays in shipment tracking, data entry errors, and limitations in report generation. To address these issues, a digital application was designed to optimize the delivery service processes at Himeji Express Banjarmasin. The application was developed using the Unified Modeling Language (UML) approach to model system requirements through use case, activity, sequence, and class diagrams. The implementation process utilized Sublime Text and XAMPP software, supported by an integrated database. The results show that the developed digital application can improve the effectiveness of managing customer, employee, pricing, cargo, and transaction data while generating automatic and real-time reports. This application enhances operational efficiency, transparency, and responsiveness to customer needs at Himeji Express.

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.

This study investigates students’ perceptions of Smalltalk2Me, an artificial intelligence (AI)-powered conversational assistant designed to improve speaking skills in classroom learning. The main objective of this research is to explore how students perceive the tool’s effectiveness, usefulness, interactivity, and overall learning experience when using it for speaking practice. The research employed a qualitative descriptive method, with data collected through semi-structured interviews involving students who had used Smalltalk2Me as part of their English-speaking activities. The interview data were analyzed thematically to identify emerging patterns related to engagement, motivation, and skill development. The findings reveal that students view Smalltalk2Me as an effective and accessible tool that enhances speaking fluency and confidence since it allows practice anytime and anywhere. Students also appreciate its realistic conversation simulations and personalized feedback, which help them recognize pronunciation errors, improve vocabulary use, and refine sentence structure. Additionally, the AI assistant creates a supportive and low-anxiety learning environment, making learners more comfortable expressing themselves in English. Overall, the study concludes that Smalltalk2Me serves as a valuable supplementary tool for improving students’ speaking competence and fostering autonomous learning in technology-enhanced language classrooms.

The administrative system implemented at the Tangerang City PMI Headquarters is still semi-computerized, causing several issues such as inconsistent document formats, higher risk of recording errors, longer processing times, and excessive paper use. Additionally, delays in determining the leader’s availability often hinder the disposition and signing process, resulting in postponed activities. To address these problems, a Web-Based Administrative Management Information System was developed, named “Si-Markot”. This system aims to improve the efficiency of managing incoming and outgoing correspondence through digital archiving, electronic disposition, and digital signature features for leaders. Si-Markot functions as a structured digital repository that enables quick document searches and real-time tracking. The research methodology includes observation and literature study, with system development based on the Rapid Application Development (RAD) approach. System modeling was conducted using Unified Modeling Language (UML), implemented with PHP programming language and phpMyAdmin as the database. The system was tested using the Black Box Testing method. The results of this study produced a web-based administrative management application specifically designed for managing correspondence at the Tangerang City PMI Headquarters, improving efficiency, reducing paper usage, and accelerating document disposition and processing.

The current advancements in information technology have brought significant benefits to the industrial world, particularly in the automotive sector. Website development in business and computer- based academic information system development are among the utilization of information technology. With information technology, Carsentro dealer data can be processed quickly and easily, enabling the presentation of accurate, fast, transparent, and efficient administrative information reports. The purpose of developing this system is to address existing issues in the old system by creating an administration information system for Carsentro dealer rental payment data. The implementation of a new system for Carsentro dealer data can improve record-keeping accountability, thus avoiding manual input recording errors that cannot be monitored by dealers renting space at Carsentro. In the development of this administrative information system, the data to be inputted includes information on when dealers joined the Carsentro ecosystem, the amount of monthly rental fee invoices, payment data, and dealer debt or receivables data. The software used is DBMS (Database Management System) MySql as the data storage medium, while programming languages such as PHP, CSS, JavaScript, and HTML are used for interface development. This aims to facilitate both users and administrators in managing data.

The development of information technology has affected a large number of sectors, one of which is the culinary industry, namely Cafe D'Carlos located in Parepare. This cafe has problems with the manual catering ordering process due to impracticality, recording errors, and long processing times. This study aims to design and develop a web-based catering ordering application to improve operational efficiency and service quality. In general, the development method for various applications tends to be the same depending on the case being handled. The method used includes several stages, namely: literature study, observation, system design using UML, implementation with PHP programming language and testing with the black box method. The features available in this application consist of main features including user registration, menu package selection, online ordering, payment, order and data management by the admin. The results of the application testing indicate that the system has run according to its function, namely it can reduce frequent order compliance, speed up the ordering process and increase customer satisfaction.

The Web-Based Academic Service Management Information System at SMA Negeri 2 Kodi Utara was developed to improve the effectiveness and efficiency of academic data management at the school. Currently, academic data management, including grade input, class schedules, teacher information, and academic reports, is still done manually, often causing delays and potential errors in recording. This study aims to design and create a web-based information system that can assist educational institutions in managing academic services in an integrated and real-time manner. The software development method used is the Waterfall model, which includes the phases of needs analysis, system design, implementation, testing, and maintenance. The programming language used is PHP with a MySQL database system. The result of this study is an academic management information system that can facilitate various academic activities, such as managing student data, teacher data, grades, class schedules, and academic reports. This system also makes it easier for teachers to input grades and provides fast and accurate access to academic information for students and the principal. With this system, the academic administration process at SMA Negeri 2 Kodi Utara becomes more organized, efficient, and transparent.

The Population and Civil Registration Office of Situbondo Regency faces challenges in improving the efficiency of recording and reporting the performance of Non-ASN employees, which has so far been conducted through temporary notes and documents. This approach is prone to delays, input errors, and suboptimal data management. To address this issue, this study aims to design a web-based information system capable of recording, managing, and displaying Non-ASN employee performance reports in a structured and real-time manner. The system is developed using PHP programming language and MySQL database to support dynamic and integrated data management. The system development follows the V-Model approach, which emphasizes verification and validation at each development stage, including requirement analysis, system design, module design, implementation, unit and integration testing, and maintenance. The result of this study is an information system that facilitates performance data entry, accelerates report generation, and improves accuracy and transparency in evaluating Non-ASN employee performance. In addition, the system is designed with a responsive web interface that is easy for stakeholders to use.

This article analyzes language errors in essays written by high school students and published on the Mojok.co website in the March 2025 edition. It employs a descriptive qualitative approach with purposive sampling. Five essays were selected based on topic relevance and language difficulty levels appropriate for high school students. The analysis reveals language errors in four main categories: spelling, grammar, diction, and punctuation. Spelling errors are the most frequent, involving incorrect word forms that deviate from standard Indonesian spelling conventions, such as improper capitalization and the use of numerals where they are inappropriate. Grammar errors include issues in sentence structure, particularly in the incorrect placement of subjects and predicates. Diction errors often involve the use of inaccurate or informal vocabulary, while punctuation errors are evident in the misuse or misplacement of commas and periods. These findings suggest that students’ language proficiency in essay writing still requires improvement. To enhance their skills, the following recommendations are proposed: increasing students’ understanding of spelling, grammar, diction, and punctuation based on the General Guidelines for Indonesian Spelling; providing structured and continuous writing practice; incorporating technology such as spell checkers and grammar tools; and fostering an understanding of language variations, especially the differences between spoken and written language. Improving students’ writing skills is essential, as language errors can impede effective communication and undermine a writer’s credibility. This article aims to serve as a reference for both teachers and students in recognizing common writing errors and enhancing the overall quality of student essays.

This research analyses the effectiveness of descriptive text sentences on the January 2025 edition of Good News From Indonesia as a reading text feasibility. This research is motivated by the writer's analysis of sentences in descriptive texts that do not follow Indonesian language rules. This study aims to review the effectiveness of sentences in four description texts published on the Good News From Indonesia page, which are examined based on cohesion and coherence, word inefficiency, word inflexibility, and spelling errors, to produce more effective sentences, following Indonesian language rules. The method used in this research is a descriptive and theoretical approach using syntax to analyse the effectiveness of sentences. The analysis results in the 4 Good News From Indonesia description texts show several ineffective sentences, including word inefficiency, word inflexibility, spelling errors, and cohesion and coherence between sentences. With this research in analysing sentence effectiveness, it is hoped that it can increase readers' knowledge and insight into understanding the importance of effective sentences in descriptive texts.

This research analyses the effectiveness of descriptive text sentences on the January 2025 edition of Good News From Indonesia as a reading text feasibility. This research is motivated by the writer's analysis of sentences in descriptive texts that do not follow Indonesian language rules. This study aims to review the effectiveness of sentences in four description texts published on the Good News From Indonesia page, which are examined based on cohesion and coherence, word inefficiency, word inflexibility, and spelling errors, to produce more effective sentences, following Indonesian language rules. The method used in this research is a descriptive and theoretical approach using syntax to analyse the effectiveness of sentences. The analysis results in the 4 Good News From Indonesia description texts show several ineffective sentences, including word inefficiency, word inflexibility, spelling errors, and cohesion and coherence between sentences. With this research in analysing sentence effectiveness, it is hoped that it can increase readers' knowledge and insight into understanding the importance of effective sentences in descriptive texts.