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All Journal Eduvest - Journal of Universal Studies MDP Student Conference
Prania, Dona
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Aerospace Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Neuroscience Social Sciences

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Penerapan Aplikasi Mobile untuk Pembelajaran Angka dan Berhitung pada Anak Usia Dini Maulana, Fazri; Efendi, Dwi Marisa; Prania, Dona
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11195

Abstract

Learning numbers and counting is a fundamental foundation for the cognitive development of early childhood. However, conventional methods that are static and lack interactivity often make children easily bored and struggle to grasp concepts effectively. Therefore, innovation is needed in the form of an interactive mobile application that provides a more engaging, enjoyable, and flexible learning experience, allowing children to learn anytime and anywhere in a more effective way. This study employs a prototyping method, enabling iterative development with user feedback. The result of this research is a mobile-based learning application for early childhood education that presents number and counting materials in the form of text, images, and engaging animations. Additionally, it includes a quiz feature to assess children's understanding.
Penerapan Aplikasi Mobile untuk Pembelajaran Huruf dan Membaca pada Anak Usia Dini Pramudika, Tuta Arya; Efendi, Dwi Marisa; Prania, Dona
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11196

Abstract

Early childhood literacy and letter learning is an important phase in their basic literacy development. However, conventional methods are becoming less effective and less interactive as technology advances. This study aims to design and develop a mobile application as a means of interactive and interesting literacy and letter learning for early childhood by utilizing the prototyping development method. This method is implemented through several stages, namely needs analysis, prototype design, prototype evaluation, coding, system testing, user evaluation and improvements based on user feedback. In this study, a mobile application for literacy and reading learning will be created with Android Studio, and with the Kotlin programming language. The results of this study are a mobile application that functions as a tool to assist teachers and parents in the conventional teaching and learning process.
Expert System for Diagnosing Personality Disorders Using Forward Chaining and Certainty Factor Methods Husen, M. Khoirul; Triyanti, Dewi; Prania, Dona; Efendi, Dwi Marisa
Eduvest - Journal of Universal Studies Vol. 4 No. 12 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i12.50025

Abstract

This study aims to develop a web-based Expert System for Diagnosing Personality Disorders using Forward Chaining (FC) and Certainty Factor (CF) analysis methods, along with the Extreme Programming (XP) system development method. This system is designed to assist Mental Health Professionals and Patients in diagnosing Personality Disorders. The Forward Chaining (FC) and Certainty Factor (CF) methods were chosen as they are suitable for drawing conclusions and determining certainty based on existing facts, while the Extreme Programming (XP) system development method was selected for its ability to provide rapid responses to changing user requirements and produce high-quality software. The development of the web-based Expert System for Diagnosing Personality Disorders has successfully resulted in an efficient, effective, and high-quality system. Every process, from designing UML diagrams including UseCase Diagrams, Activity Diagrams, Sequence Diagrams, and Class Diagrams, was successfully completed up to the design of input and output processes. The results of this study indicate that the Expert System for Diagnosing Personality Disorders has successfully met the needs of Mental Health Professionals and Patients and possesses high quality. The system has undergone comprehensive testing and is free from bugs. Implementation trials within the local community demonstrate that this system is beneficial and can help improve efficiency and effectiveness in diagnosing Personality Disorders.
Co-Authors Efendi, Dwi Marisa Husen, M. Khoirul Maulana, Fazri Pramudika, Tuta Arya Triyanti, Dewi