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All Journal IZUMI Jurnal Kridatama Sains dan Teknologi
Nugroho, Mario Raditya
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

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Pengujian Black Box Testing Pada Sistem Website Osha Snack: Pendekatan Teknik Boundary Value Analysis Kartono, Fatih Kawakib; Nursaadah, Syifa; Nugroho, Mario Raditya; Tama, Dimas Akbar; Mashudi, Ferrol Azki; Wicaksono, Aditya; Nasir, Muhammad
Jurnal Kridatama Sains dan Teknologi Vol 6 No 02 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v6i02.1407

Abstract

This study functional quality testing of the Osha Snack website was conducted using the Black Box Testing method with the Boundary Value Analysis (BVA) technique approach. Osha Snack is an e-commerce platform that provides online-based snack products. Black Box Testing was chosen because of its ability to rotate the system without checking the internal code, focusing on the input and output provided by the user. BVA tests input limits, such as minimum, maximum, and out-of-bounds values, to identify potential problems in the most vulnerable areas. The test results show that the system successfully handles valid input according to functional specifications and provides effective validation for input that exceeds the desired limits, with a percentage reaching 96% of all tested scenarios. This technique has been shown to improve the accuracy and stability of the system with wide test coverage but is efficient in terms of time and resources. However, BVA has limitations, namely it does not cover internal logic testing and does not detect errors outside the tested boundaries. This study significantly contributes to developing a more reliable e-commerce platform through an optimal software testing process.
Analisis Penggunaan Kakujoshi no (の) Pada Website Portal Berita NHK Japan Menggunakan Teknik Web Scraping Nugroho, Mario Raditya; Kurniawan, Fadly; Maryadi, Muhammad Rahmat; Pradipta, Rayhan ananda hafiz; Lestari, Humannisa Rubina
IZUMI Vol 14, No 2 (2025): December
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/izumi.14.2.198-209

Abstract

This study investigates the distribution and syntactic-semantic functions of the Japanese case particle no (の) in news articles published on NHK News Web Easy during March 2025. The aim is to provide a descriptive analysis of how the particle no operates within simplified Japanese news texts. Data were collected using web scraping techniques through the ParseHub platform, allowing automated and structured extraction of 80 articles. 508 instances of no were identified and manually analyzed to classify their linguistic functions. The findings show that the most dominant function is a nominal connector, accounting for 422 occurrences, followed by functions such as indicating origin, possession, spatial relationships, and conversational emphasis. The pattern Nominal₁ + no + Nominal₂ was found to be the most common syntactic structure across the dataset. This reflects the critical role of no in forming meaningful and information-dense phrases even within simplified Japanese texts. The combination of automatic data retrieval and manual linguistic analysis in this research highlights the effectiveness of integrating technology and qualitative approaches in language studies. The results contribute to understanding authentic Japanese grammatical usage and provide pedagogical insights for teaching Japanese as a foreign language. Future research is encouraged to expand the scope with longitudinal data and semi-automated analysis tools for broader linguistic coverage.
Co-Authors Aditya Wicaksono Kartono, Fatih Kawakib Kurniawan, Fadly Lestari, Humannisa Rubina Maryadi, Muhammad Rahmat Mashudi, Ferrol Azki Muhammad Nasir Nursaadah, Syifa Pradipta, Rayhan ananda hafiz Tama, Dimas Akbar