This study investigates the development of network simulation applications using visual programming languages, aiming to map current trends, tool preferences, and key implementation challenges in educational and experimental contexts. Through a structured literature review of 28 academic sources, the research identifies the increasing adoption of visual-based interfaces, such as VB.NET, C# WinForms, and tools like Cisco Packet Tracer, as essential platforms to support interactive learning in computer networking. Visual simulation environments are found to enhance conceptual understanding, reduce cognitive load, and improve student engagement, particularly among non-technical users. Despite these advantages, the study reveals several limitations inherent in visual simulation tools. These include lack of modularity, limited protocol validation, and constrained interoperability across different vendors and platforms. Moreover, most existing tools operate in standalone environments and have not yet adapted to cloud-based or scalable architecture. The findings suggest a pressing need for hybrid simulation models that combine the intuitive user experience of GUI-based applications with the technical depth and flexibility of CLI or open API backends. This research contributes a systematic synthesis of the strengths and gaps within the current ecosystem of visual network simulators. It provides practical recommendations for educators, developers, and researchers aiming to build more adaptive, extensible, and context-aware simulation environments that align with modern educational and technological needs.

Web-Based Augmented Reality (AR) is an emerging interactive technology that is increasingly adopted in the fields of visual communication design and digital education. This study aims to analyze trends in the use of Web-Based AR within interactive design contexts and to identify user preferences regarding its features. The research employs a literature review and secondary data analysis, drawing from academic publications, industry reports, and online surveys conducted between 2019 and 2024. The findings reveal a significant increase in the adoption of Web-Based AR both globally and in Indonesia. Key factors driving adoption include interactivity without installation, cross-device compatibility, and rapid browser-based access. Trend diagrams, comparative tables of AR platforms (such as 8thWall, ZapWorks, and WebXR API), and user preference visualizations are presented to support the analysis. The study discusses technological challenges, adoption gaps, and design implications, particularly in education and marketing. Limitations include reliance on secondary data and limited geographic scope. The study’s outcomes are expected to serve as a reference for interactive content developers, educators, and researchers in designing inclusive and adaptive AR-based user experiences.

Perkembangan teknologi informasi yang pesat telah mendorong kebutuhan akan platform pembuatan website yang profesional, terutama bagi bisnis, individu, maupun organisasi tanpa latar belakang teknis. Penelitian ini bertujuan untuk membangun sistem informasi jasa pembuatan website UpSite menggunakan metode prototyping, dengan integrasi fitur business intelligence. Metode ini dipilih karena bersifat iteratif dan memungkinkan penyesuaian sistem secara langsung berdasarkan umpan balik pelanggan. Kebaruan utama dari sistem ini adalah integrasi fitur Business Intelligence (BI) pada dashboard admin, yang menyajikan visualisasi data penjualan dan analisis layanan terlaris secara real-time untuk mendukung pengambilan keputusan. Proses pengembangan mencakup komunikasi kebutuhan, perencanaan awal, pemodelan sistem (use case diagram, activity diagram, dan class diagram), pembangunan prototipe, serta pengujian menggunakan metode black box dan User Acceptance Testing (UAT). Hasil pengujian menunjukkan bahwa seluruh fitur inti, termasuk BI, berjalan sesuai spesifikasi dan memperoleh respons sangat baik dari calon pelanggan. Dengan demikian, UpSite dinyatakan layak digunakan sebagai solusi layanan pembuatan website yang tidak hanya fungsional, tetapi juga inovatif dengan dukungan analitik berbasis data.
 
Kata Kunci - UpSite; Metode Prototyping; Pembuatan Website; Business Intelligence; Pengujian Black Box

In the digital age, efficient sales transaction management is crucial for business success. Point of Sale (POS) systems, such as Wingpos, are a solution for transaction recording, inventory management, sales reporting, and data analysis. However, software errors can disrupt operations and compromise security aspects. This research aims to assess the functionality and quality of the Wingpos website by using the Black Box Testing method, which tests software by comparing actual outputs to expected results based on given inputs. The Equivalence Partitioning technique was applied to focus on testing functional aspects of the login and register features. Through this testing, technical insights into the quality of the Wingpos software were gained, as well as a systematic approach to web-based application testing. The results of the study are expected to improve user experience and serve as a reference in the development of similar systems in the future.

Software testing is a critical phase in information system development to ensure the system's quality and reliability. This study aims to evaluate the reliability and functionality of PT Perta Sakti Abadi's financial information system using the black-box testing method with the Equivalence Partitioning (EP) technique. This technique allows input data to be grouped into valid and invalid categories, minimizing test cases without reducing testing coverage. The testing focuses on the login feature as the system's primary component by evaluating various input combinations. The testing scenarios include boundary conditions to ensure the system handles inputs correctly in various situations.The results indicate that the system successfully verifies valid credentials, rejects access with invalid data, and provides informative error messages. Additionally, the system demonstrates resilience in handling testing scenarios, including inputs with special characters and empty fields. Input validation mechanisms function optimally, supporting secure user access and ensuring the login feature aligns with functional specifications. This successful testing forms a strong foundation for testing other modules, such as multi-level authentication and data encryption. Thus, the Equivalence Partitioning technique within the black-box testing method proves effective in enhancing the quality of web-based financial information systems.

This study focuses on black-box testing of JivaJoy software, an online product stock management and ordering system. The primary goal of this research is to evaluate the functionality and performance of the system's key features, including profile management, CRUD operations for admin and customer accounts, product stock management, shopping cart, order management, and AI counseling. Black-box testing was applied to assess whether these features meet expected operational standards and user requirements without considering the internal code structure. The test results indicate that most features function as expected. However, some issues were identified related to input validation, particularly with email format, phone number length, file uploads, and product stock management. Additionally, the order management and AI counseling features showed deficiencies in error handling and input validation. Based on these findings, the study recommends improvements in input validation, product stock management, shopping cart functionality, and AI counseling systems to enhance the reliability and performance of the JivaJoy platform. These enhancements are essential to deliver more efficient, secure, and optimal services, ensuring better user experiences and customer satisfaction.

This research focuses on evaluating the Combox web application, a digital tool designed to help Food and Beverage (F&B) business owners strengthen their online presence. The analysis was carried out through Black Box Testing, specifically using the Equivalence Partitioning method, to assess core functionalities like login, logout, product management, and pagination. The findings reveal that while most features function as intended, there are issues with product addition and editing, as well as pagination when no data is available. These results highlight areas that need refinement to improve the application’s reliability and user experience. In summary, this research supports the advancement of a digital platform that enables F&B businesses to harness technology effectively in today’s competitive landscape.

Penggunaan beberapa bahasa pemrograman selama perangkat lunak berkembang adalah praktik umum dalam pengembangan perangkat lunak modern. Akan tetapi, penggunaan bahasa yang berbeda yang dapat memengaruhi pengembang produktifitas justru belum banyak diketahui. Studi yang disajikan dalam penelitian ini mereplikasi kontrol acak percobaan yang menyelidiki penggunaan beberapa bahasa dalam konteks pemrograman basis data tugas. Partisipan dalam penelitian ini diberi tugas pengkodean yang ditulis dalam Java dan salah satu dari tiga bahasa tertanam mirip SQL: SQL biasa dalam string, hanya metode Java, bahasa tertanam hibrid yang lebih mirip dengan Java. Selain merekam tanggapan kuesioner online dan solusi peserta terhadap tugas, gerakan mata peserta juga direkam menggunakan eye tracker. Eye Tracker sebagai metode untuk studi pengembangan perangkat lunak telah berkembang dalam beberapa tahun terakhir dan memungkinkan untuk mendapatkan informasi yang lebih mendalam tentang bagaimana pengembang menyelesaikan tugas pemrograman. Metode Eye tracking ini digunakan sebagai metode pengumpulan data dalam penlitian ini. Data pelacakan mata dikumpulkan dari 31 peserta (dari akademisi dan industri) untuk masing-masing dari enam tugas pemrograman yang berbeda. Untuk membandingkan efek variabel antar kelompok kelompok dan pengalaman profesional dan variabel tugas dalam kelompok pada variabel terikat Waktu dala peneyelesaiinya, penelitian ini menggunakan ANOVA model campuran. Hasil penelitian ini menunjukkan bahwa, efek signifikan pada produktivitas tidak ditemukan, ini berbeda dengan penlitian awal karena bahasa yang digunakan. Namun, efek yang sama ditemukan dari pengalaman peserta terhadap produktivitas pemrograman menunjukkan bahwa programmer yang lebih berpengalaman mampu menyelesaikan tugas pemrograman poliglot dengan cara yang lebih efisien. Selain itu ditemukan bahwa semua peserta melihat kode sampel dengan persentase waktu yang sama untuk tugas yang diberikan terlepas dari pengalaman atau varian bahasa yang diberikan. Perilaku navigasi tingkat atas juga sebagian besar tetap tidak berubah di seluruh pengalaman atau varian bahasa. Secara keseluruhan, dapat disimpulkan bahwa tingkat pemrograman poliglot tidak memiliki efek yang signifikan seperti tugas itu sendiri. Tingkat tinggi strategi yang digunakan peserta tampak serupa terlepas dari varian bahasa yang diberikan kepada mereka. Sebagai saran untuk penelitian dimasa depan, efek dari berbagai jenis pemrograman polyglot bahasa harus dipelajari secara mendalam untuk kesimpulan yang dicapai tetap benar di berbagai konteks pemrograman poliglot.