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All Journal Pragmatik : Jurnal Rumpun Ilmu Bahasa dan Pendidikan Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer International Journal of Computer Technology and Science
Wildan Holik
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Computer Science & IT Education Languange, Linguistic, Communication & Media

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Perancangan Desain Website VoksEat dengan Menggunakan Metode Prototipe Wildan Holik; Kanaya Sabila Azzahra; Muhammad Ilham Nufajri; Wien Kuntari
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.551

Abstract

This study aims to design the VoksEat website as a food delivery service platform targeted at students of the IPB Vocational School. The methodology employed is the prototype method, allowing iterative design based on user needs. The research process began with identifying requirements through interviews and observations, followed by creating an initial prototype using design tools such as Figma and testing the prototype to gather user feedback. Object-oriented modeling with the Unified Modeling Language (UML) approach was utilized to ensure a well-organized system structure, including diagrams such as use case, activity, and class diagrams. The results indicate that the prototype method is effective in producing a functional website design that aligns with user needs. The VoksEat website features ordering guides, restaurant recommendations, and an integrated order form that provides users with easy access. This study contributes to developing a locally-based digital solution to meet student needs and enriches the literature on applying the prototype method in web-based information system development.
Design GiggleGate as Desktop Virtual Assistant with Face and Speech Recognition Authentication System Jasmine Aulia Mumtaz; Kinaya Khairunnisa Komariansyah; Wildan Holik; Reza Pratama; Muhammad Galuh Gumelar; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Computer Technology and Science Vol. 1 No. 4 (2024): October: International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i4.113

Abstract

In recent years, virtual assistants have become an integral part of everyday life, simplifying routine tasks and allowing users to focus on more important matters. This research aiming to design GiggleGate, a virtual desktop assistant integrated with both face and speech recognition technology to enhance authentication security. The objective is to develop an authentication system that not only verifies user identity but also provides a more intuitive experience and seamless interaction. The research employs a development methodology to create and implement the system, which integrates face recognition via OpenCV and speech recognition via a Python library. The findings indicate that the integration of these technologies enhances security and user experience by offering dual-factor authentication. The system is expected to contribute to more secure and accessible virtual assistant applications, offering both a practical and efficient solution for users. The implications of this study suggest that the combination of face and speech recognition can provide an effective means to protect user privacy and improve the overall functionality of desktop assistants.
Analisis Sentimen Ulasan Aplikasi HeyJapan di Google Play Store Menggunakan Algoritma NLP Jasmine Aulia Mumtaz; Kinaya Khairunnisa Komariansyah; Wildan Holik; Muhammad Galuh Gumelar; Reza Pratama; Humannisa Rubina Lestari
Pragmatik : Jurnal Rumpun Ilmu Bahasa dan Pendidikan  Vol. 3 No. 3 (2025): Juli: Pragmatik : Jurnal Rumpun Ilmu Bahasa dan Pendidikan
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/pragmatik.v3i3.1801

Abstract

Digital learning applications like HeyJapan are increasingly popular. User reviews on platforms such as Google Play Store contain valuable information on user perceptions and experiences. To process this information systematically, this study employs a Natural Language Processing (NLP) approach to analyze sentiment toward the HeyJapan application. Data was collected using web scraping techniques with Python and the google play scraper library, resulting in 1,000 latest user reviews. The analysis included data collection, preprocessing, sentiment labeling using TextBlob, visualization, modeling with Logistic Regression, and evaluation. After preprocessing, 923 valid reviews were classified into three sentiment categories based on polarity which are positive, neutral, and negative. Results showed 71.4% of reviews positive, 26.1% neutral, and 2.5% negative. Visualizations in pie charts and word clouds provided an overview of user perceptions. Modeling with TF-IDF and Logistic Regression achieved 88% accuracy with the highest f1-score in the positive sentiment category. Evaluation indicates the model is fairly reliable in classifying sentiments, especially for positive and neutral categories, though negative sentiment classification needs improvement. This study shows the NLP approach can evaluate user perceptions of educational applications based on reviews and serve as a basis for improving foreign language learning app quality.
Co-Authors Endang Purnama Giri Gema Parasti Mindara Humannisa Rubina Lestari Jasmine Aulia Mumtaz Kanaya Sabila Azzahra Kinaya Khairunnisa Komariansyah Kuntari, Wien Muhammad Galuh Gumelar Muhammad Ilham Nufajri Reza Pratama