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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.

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.

Software Defined Network is a popular computer network concept today because of the ease of managing network traffic with the control plane. Massive internet usage makes web server services on SDN networks overloaded. There are many load balancing concepts to overcome this problem, one of which is implementing the K-NN algorithm. This study aims to maximize the performance of the K-NN algorithm on SDN networks by optimizing the K value using Grid Search Cross Validation, and adding server status selection logic based on the smallest disk if the server status calculated by K-NN has the same. All implementations of the load balancing concept in this study were created virtually using Open vSwitch and virtualbox. Testing was carried out using CPU, MEMORY, and DISK parameters sent by the server with the help of the psutils component. JMeter software was used for testing by sending data using the POST method. The data type is text/plain with a data size of 1MB, testing was carried out in stages with threads 100, 200, 300, 400. The test results showed that the performance of the K-NN algorithm was running optimally. There was no significant difference in the distribution of the load to the server, this made the optimization and addition of logic successful.

Gethsemane Salatiga website using Jakob Nielsen’s heuristic evaluation method combined with a triangulation approach. The evaluation involved 20 respondents, consisting of 7 UI/UX experts and 13 general users and guests, who assessed the website based on Nielsen’s ten heuristic principles, including visibility of system status, match between system and the real world, user control and freedom, consistency and standards, error prevention, recognition rather than recall, flexibility and efficiency of use, aesthetic and minimalist design, error recovery, and help and documentation. To minimize potential bias, the study integrated heuristic evaluation with user context analysis and empirical validation through usability testing, thereby providing a more comprehensive assessment. The results indicate that the overall UI/UX quality of the website is relatively good, with average scores ranging from 3 to 4 on a 5-point scale. Most identified issues fall within minor to moderate severity levels, with no critical problems affecting core functionalities. Consistency and standards received the highest average score (4.0), while alignment with user expectations and visual comfort still need improvement. Recommendations include enhancing system feedback, strengthening error prevention mechanisms, and improving help and documentation features. The differences in assessments between expert and non-expert respondents highlight the importance of professional evaluation in identifying usability issues. This study contributes to the refinement of a more reliable and contextually relevant UI/UX evaluation framework, particularly within the hospitality and tourism sector.

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.

Best graduate selection is crucial for academic achievement and contributes to the accreditation value of the institution. Instituto Profissional de Canossa (IPDC) is a higher education institution founded by the Canossian Sisters in Timor-Leste. To improve the effectiveness of assessment and decision-making processes, an information system is needed to assist in selecting the best graduates based on multiple criteria. This research develops a web-based Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method. MAUT is a multi-criteria decision-making method that evaluates alternatives based on their utility scores across several criteria. The study uses four main criteria: attendance, academic performance, ethics, and discipline. The system is implemented as a web application for universal access. The MAUT calculation results provide valid and accurate recommendations for the best graduates. System testing showed that the application successfully ranked candidates based on defined weights and criteria, providing objective and consistent selection results.

PT. XYZ is one of the largest retail companies in Indonesia. PT. XYZ has a website-based application that functions to help employees who work in IT Support to handle operational problems. However, this website has not implemented a session management system which can affect the level of security. Therefore, a system design was created for real-time session management using Firestore, Python, and Javascript. Firestore is used as a database to store sessions and Firestore has a feature called the Firestore snapshot listener which functions to detect changes in real-time. The research method includes identifying needs, initial prototype design, prototype creation, prototype evaluation, prototype refinement, and system implementation. Black Box Testing is used as a method for testing this system, where the results are in accordance with the needs and interviews are conducted with the admin of this website to test the session management system and find out the admin's response regarding the designed session management system. The results obtained are satisfactory because security can be further improved, user experience is improved, and the company's needs can be achieved.

This study aims to describe the structure, syntactic function, and semantic role of the nominal clause in JawaPos.com news texts published in August 2025. By using a descriptive qualitative approach, this study applied syntactic analysis to explore how the nominal clause operates within the linguistic and contextual framework of media discourse. Data were collected from online news articles and analyzed using Indonesian syntactic and semantic theory. The results show that nominal clauses play a crucial role in constructing discourse structure and meaning through their syntactic functions as subjects, objects, complements, and adverbs. In semantics, nominal clauses perform various roles, including as agents, objects, recipients, and markers of condition or location. The pattern of nominal clause use reflects the concise, efficient, and communicative nature of journalistic language. The correlation between syntactic function and semantic role shows a cohesive relationship that enhances clarity and accuracy in conveying information. This study contributes to the development of syntactic and media linguistic research and serves as a valuable reference for journalists and language educators in promoting effective and ethical language use in journalism.

This study aims to analyze and identify various types of phrases found in educational opinion texts published on the Pundi.or.id website, 2025 edition. The research is based on the importance of syntactic understanding, particularly the use of phrases, in constructing effective and meaningful sentence structures in opinion texts. A qualitative descriptive method was applied using the observation and note-taking technique. The data were collected by examining, recording, and classifying different types of phrases, including nominal, verbal, adjectival, numerical, and adverbial phrases. The findings reveal that each type of phrase functions differently in shaping sentence meaning and enhancing the clarity of the writer’s arguments. Nominal and verbal phrases were found to dominate the texts, indicating their significant role in presenting ideas and logical reasoning. This research contributes to the development of syntactic studies and provides practical benefits for teachers and students in learning Indonesian, especially in mastering sentence structure and improving opinion writing skills. Furthermore, the study serves as a reference for future linguistic research within the context of digital media and education.

This research is driven by the urgency of maintaining the quality of the Indonesian language in the realm of online journalism, particularly on major media platforms such as CNN Indonesia. Online media plays a central role as the primary source of information, but the speed of publication often encounters linguistic errors that have the potential to damage credibility and lead to misinterpretation among readers. The focus of the study on syntactic errors is crucial because errors in sentence structure, diction, and conjunctions directly affect the meaning and effectiveness of communication. This study aims to analyze and describe the forms of syntactic errors (including sentence pattern errors, non-standard diction, and conjunction redundancy) and offer recommendations for improvement based on standard Indonesian language rules. The method used is a qualitative descriptive approach with a syntactic approach. Data in the form of linguistic units at the phrase, clause, and sentence levels from all CNN Indonesia news texts for the period of August 2025, collected using the Listen and Note Technique. The findings are anticipated to show a dominance of sentence ineffectiveness, incorrect use of conjunctions, and temporally illogical diction errors. This research is expected to contribute as a practical guide for editors and news writers to improve the quality of editing, while also supporting literacy efforts and the use of good and correct Indonesian in the digital public space.

In today's digital landscape, rapid and accurate access to information has become a fundamental requirement for educational institutions. Previously, SMP Swasta Karya Bhakti Medan relied heavily on conventional methods for disseminating information, such as verbal communication or limited printed media. This situation frequently resulted in delays in delivering news to guardians and limited the promotional reach to the broader community. Addressing these issues, this internship project focuses on the design and development of a school profile website as a solution for information digitalization. The system development process involved several stages, including field data collection, user-friendly interface design, and the coding implementation phase. The website is designed to host essential information, ranging from the institutional profile, vision and mission, and facilities, to student activity documentation. To ensure optimal accessibility, the site is hosted using the Netlify service, allowing for continuous online access. The final outcome of this project is a responsive and easily accessible digital information portal. The presence of this website is expected to enhance the school's image and facilitate parents and prospective students in obtaining valid information regarding SMP Swasta Karya Bhakti Medan without distance or time constraints.

The increasing complexity of competition in the healthcare industry requires hospitals to adopt adaptive and strategic management practices to enhance organizational competitiveness. This study aims to analyze the role of strategic management in improving hospital competitiveness through a Systematic Literature Review (SLR) approach. A total of 41 national and international scientific articles published between 2014 and 2025 were reviewed, sourced from Scopus, Web of Science, Google Scholar, and Sinta databases, following the PRISMA guidelines for literature selection. The synthesis of findings indicates that strategic management plays a significant role in strengthening hospital competitiveness through clear strategy formulation, consistent implementation, and continuous performance evaluation. Key factors contributing to competitive advantage include strategic leadership, adaptive organizational culture, effective human resource management, utilization of information technology, and integration between strategic planning and operational processes. The results emphasize that hospitals implementing strategic management comprehensively are better equipped to respond to environmental dynamics, improve service quality, and sustain competitive advantage in the long term. This study highlights the importance of strategic management as a foundational element in modern hospital governance and provides a conceptual basis for future empirical research in healthcare management.

This study aims to analyze the performance of Android-based attendance applications used at PT PLN ULP West Sumba by integrating two evaluation methods, namely WebQual 4.0 and Importance Performance Analysis (IPA). This attendance application functions to monitor employee attendance digitally so that it is expected to be able to improve the efficiency and accuracy of data recording. Evaluations are conducted to assess the extent to which the application meets the needs of users as well as the expected performance. WebQual 4.0 is used to measure the quality of user experience in terms of ease of access, interactivity, trust, and satisfaction, while IPA is used to compare the level of user interest with application performance based on four main attributes: system quality, information quality, service quality, and usage quality. The research data was collected through a survey with questionnaires compiled according to WebQual 4.0 and IPA indicators, involving application users at PT PLN ULP West Sumba. The results show that the majority of users are satisfied with the ease of use and performance of the application, but there are aspects that need to be improved, especially the speed of the system and a more user-friendly interface design. The science analysis emphasizes that the quality of systems and information is a crucial factor that must be a priority for development. This research provides strategic recommendations for PT PLN ULP West Sumba to improve the performance of the attendance application and support the company's operational needs in a sustainable manner.

The development of automation and robotics technology has driven innovation in various industrial fields, particularly in automatic sorting systems. Manual sorting processes often lead to inefficiencies and human errors, creating the need for an automatic, fast, and accurate system. This research employs a qualitative method which includes experimentation, testing, and system documentation. The system is designed as a robotic arm for sorting objects based on color, utilizing a TCS3200 color sensor and an ESP32 microcontroller. An ultrasonic sensor detects the presence of objects, while the sorting results are displayed through a real-time web monitoring system. The test results show that the prototype successfully sorts four primary colors (red, green, blue, and yellow) with a high level of accuracy. This research is expected to serve as a reference for the development of automation systems and robotics learning tools in both educational and industrial applications. In addition, this research also contributes to the development of technology that can increase efficiency and accuracy in industrial production processes and provide more environmentally friendly solutions by reducing the need for manual labor.

The rapid expansion of internet usage has led to a significant increase in cybersecurity threats, particularly phishing attacks delivered through malicious links. Phishing links are designed to imitate legitimate websites in order to deceive users and steal sensitive information. This study presents the implementation of a phishing link detection website based on SSL validation and URL scoring mechanisms. The proposed system integrates heuristic-based URL analysis with real-time SSL certificate validation obtained through the SSL handshake process. Digital certificates are verified using RSA-based digital signature verification issued by trusted Certificate Authorities (CAs). In addition, the SHA-256 hash algorithm is employed to generate certificate fingerprints and URL hashes to ensure data integrity and uniqueness. The system also evaluates HTTPS usage, domain and certificate consistency, certificate validity period, and RSA public key strength. All validation results are processed using a URL scoring system to generate a security score ranging from 0 to 100, which classifies links into safe, suspicious, or dangerous categories. Experimental results demonstrate that the proposed website is capable of effectively identifying phishing indicators and providing transparent cryptographic evidence in real time. This approach can assist users in making informed decisions and improving protection against phishing threats in web environments.

This study aims to analyze the influence of port infrastructure, logistics connectivity, and fleet capacity on the performance of sea tolls in Indonesia. The approach used in this literature review study is descriptive qualitative. The data collection technique used is a literature study or review of relevant previous articles published between 2021 and 2026. The technique used in this literature review is comparative analysis. The data used in this descriptive qualitative approach came from previous studies relevant to this study and sourced from academic online media such as Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Q2-Q4 Emerald, Elsevier, Sage, Web of Science, Sinta 2-5 Journal, DOAJ, EBSCO, Google Scholar, Copernicus, and digital reference books. The results of the study show that: 1) Port infrastructure affects sea toll performance; 2) Logistics connectivity affects sea toll performance; 3) Fleet capacity affects sea toll performance.

The aim of the research is to find out the process of developing knowledge learning media based on Android applications.Learning media is very much needed as a tool used in practical learning.Changes in educational progress require innovation in learning media to keep them up to dat and able to overcome new problems that arise. The research method used is the R & D research and development method with the 4D model. The stages of the 4D development model are 1) Definition; 2) Design; 3) Development; 4) Distribution. This research produces android-based textile knowledge learning media. The software used is iSpring Suite Toolkit Authoring based on Power Point; and Website 2 APK Builder.The iSpring Suit software is used in the design and development of learning media, while the Website 2 APK Builder software is used to change Android application programs. Based on the results of the learning media feasibility questionnaire, it can be seen that the textile knowledge learning media is very feasible to use, reaching 90%.

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.

The success of Guidance and Counseling services relies heavily on adherence to fundamental principles such as confidentiality and voluntariness, yet field implementation faces complex challenges regarding educational levels and modern developments. This study aims to analyze the implementation of fundamental guidance and counseling principles and their relevance to religious value integration and technology adaptation. The method used is qualitative with a library research design, analyzing 20 scientific journal articles published between 2020 and 2025. The results show that the implementation of principles is dynamic. At the elementary level, the expertise principle is hindered by classroom teachers doubling roles, while secondary levels face service management challenges. Current relevance is realized through adapting the principle of currentness with web-based technology and the principle of normativeness through Islamic approaches. This study implies the need for strengthening counselor digital competence and providing professional personnel at the elementary level to ensure service integrity.

The implementation of e-government in government administration can make services more efficient, transparent, and reliable, as well as provide faster service to the public. The Sidoarjo Regency Population and Civil Registration Office launched the PLAVON website as a digital service. This study aims to describe the strategy for improving digital service quality from a public value perspective, focusing on the PLAVON website of the Sidoarjo Regency Population and Civil Registration Office. This research employs a descriptive qualitative approach, with data collected through interviews, observations, and documentation. The findings indicate that the quality of PLAVON’s digital services can be analyzed through three dimensions of public value: improved public service, improved administration, and improved social value. In the improved public service dimension, PLAVON enhances the ease and speed of population administration services; however, these improvements are still constrained by technical system disruptions and unstable website performance. In terms of improved administration, the implementation of digital services through PLAVON contributes to greater transparency and improved employee professionalism. Meanwhile, within the improved social value dimension, PLAVON plays a role in strengthening public trust in government institutions. This study emphasizes that the improvement of digital service quality is not solely dependent on technical factors but also on the government’s capacity to generate tangible and sustainable public value for the community.