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This study aims to design and develop an Augmented Reality (AR)-based application for real-time data monitoring of an automatic weather station at PT. XYZ. The system was developed using a prototyping method, involving five key stages: sensor data acquisition via CBOX devices and the Modbus RTU protocol, data transmission through a Flask-based Web API, storage in a MySQL database, QR code-based target image creation using the Vuforia Engine, and a 3D visualization interface developed with Unity integrated with the Vuforia SDK on Android devices. The system successfully received and stored weather data—such as temperature, humidity, and wind speed—into the MySQL database. The AR application also displayed a stable 3D interface panel over QR code markers, providing real-time data updates through an HTTP-based mechanism. This research demonstrates the successful integration of SCADA, Flask, MySQL, and Unity, enhancing both the functionality and commercial appeal of PT. XYZ’s weather station products. Future research should focus on field testing, cloud network integration, and device compatibility.

Advances in information technology have changed the way humans obtain and manage information, including in the world of education. School websites have become an important medium for conveying academic, administrative, and school activity information quickly and efficiently. However, not all educational institutions are able to optimize the functions of their websites. This study was conducted to determine user satisfaction with the website of SMP Negeri 5 Kota Jambi using the Webqual 4.0 model and Importance Performance Analysis (IPA). The research method used was a descriptive quantitative approach with data collection through the distribution of questionnaires to 291 respondents from a total population of 1,065 students. The analysis was conducted by measuring the three main dimensions of Webqual 4.0, namely usability quality, information quality, and service interaction quality, then using IPA to map service improvement priorities. The results showed that most users were satisfied with the quality of the website, particularly in  terms of ease of use and service interaction. However, the timeliness of information updates and the responsiveness of the display on mobile devices still needed improvement. Recommendations for improvement focused on the dimensions in the "Concentrate Here" quadrant of the IPA analysis.

The rapid growth of e-commerce in Indonesia, particularly the Shopee platform, has generated a large volume of user reviews on the Google Play Store, which can be analyzed to understand consumer sentiment. This study aims to compare the performance of the Support Vector Machine (SVM) and Random Forest (RF) algorithms in binary sentiment classification (positive and negative) on Shopee reviews, as well as to statistically test the significance of their differences using One-Way ANOVA. A total of 400,498 reviews were collected via web scraping, preprocessed through text normalization, tokenization, and Indonesian language stemming, and then feature-extracted using TF-IDF and Count Vectorizer. Evaluation results show that SVM achieved an accuracy of 91.77%, precision of 91.49%, recall of 91.77%, and F1-Score of 91.56%, while RF achieved an accuracy of 90.07%, precision of 91.68%, recall of 90.07%, and F1-Score of 90.55%. ANOVA confirmed that the performance difference between the two algorithms is statistically significant (p-value = 0.0007) with a large effect size (η² = 0.1815). Therefore, SVM is recommended as a more optimal and consistent algorithm for automated sentiment analysis of Indonesian e-commerce reviews, while also providing a replicable methodological framework for similar future research.

This study presents ReflectAI, a web-based system designed to automate the creation of teaching materials tailored to students' learning styles using behavior data from a Learning Management System (LMS). Student digital activity data—such as logins, material access, forum participation, assignment submission, and quiz results—are extracted and processed using a Hierarchical Clustering algorithm to categorize students into three learning styles: visual, auditory, and kinesthetic. Based on the clustering results, the system automatically generates personalized learning modules using generative AI (ChatGPT API), aligned with each student's learning preferences. Employing a data-driven system development approach, the system was tested with data from 230 students in a mathematics course. The results show diverse learning style distributions and relevant, tailored content generation. ReflectAI is designed to reduce teachers’ administrative workload and enhance personalized and adaptive learning. This system contributes to educational transformation through deep, data-driven technology integration.

Pemanfaatan teknologi informasi menjadi kebutuhan penting bagi usaha jasa persewaan untuk meningkatkan efisiensi dan kualitas layanan. Toko Akasa Teknik sebagai usaha persewaan mesin vacuum cleaner masih menghadapi permasalahan dalam pengelolaan data penyewaan, transaksi, dan pelaporan yang dilakukan secara manual sehingga berpotensi menimbulkan kesalahan pencatatan dan keterlambatan informasi. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi persewaan berbasis web yang mampu mengintegrasikan seluruh proses bisnis secara terpusat. Metode pengembangan sistem yang digunakan adalah model Waterfall yang meliputi tahap analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan menggunakan bahasa pemrograman PHP dengan arsitektur Model–View–Controller (MVC) dan basis data MySQL. Pengujian dilakukan menggunakan metode Black Box Testing untuk memastikan setiap fungsi berjalan sesuai dengan kebutuhan pengguna. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan efisiensi pengelolaan data, mempercepat proses penyewaan, serta memudahkan pelanggan dalam melakukan pemesanan dan memantau status sewa. Dengan demikian, sistem informasi ini diharapkan dapat meningkatkan kualitas layanan serta mendukung daya saing Toko Akasa Teknik di era digital.

This research aims to design and build a web-based interactive photo booth application with layout, filter, and frame features using object-oriented programming concepts. The application was developed as an alternative solution to digital photo booths that can be accessed directly through a web browser without the need for additional installation. The system development method used is the Waterfall method which includes the stages of needs analysis, system design, implementation, and testing. The technology used in application development includes HTML, CSS, JavaScript, and the use of Web APIs to access the device's camera and process images in real-time. The results of the study show that this web-based photo booth application is able to run well on modern browsers, providing photo capture features, layout settings, filter application, and interactive frame addition. The implementation of object-oriented programming results in a more modular code structure, is easy to understand, and facilitates the development and maintenance of future systems. Thus, the developed application can become a practical, flexible, and easy-to-use digital photography medium.

This study aims to develop a web-based inventory information system to facilitate inventory data management and improve operational efficiency at Toko Anugerah Sticker. Currently, inventory management is still performed manually using paper, which complicates monitoring stock, recording incoming and outgoing items, and preparing reports accurately and promptly. To address these issues, the system was developed using the Waterfall method, consisting of five stages: requirement, design, implementation, verification, and maintenance. PHP was employed as the programming language for system development, while MySQL served as the database for storing inventory data. The system was tested using Blackbox testing to unsure that each function worked as expected. The result show that the web-based inventory information system successfully replaced the manual process, making inventory management more effective and efficient. It also enables real-time stock monitoring and generates reports faster and more accurately. The implementation of this system is expected to improve the quality of inventory data management at Toko Anugerah Sticker in the future.