Article Per Year (5 Year)
p-Index From 2021 - 2026
3.128
P-Index
This Author published in this journals
All Journal Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) ORBITA: Jurnal Pendidikan dan Ilmu Fisika Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Psychology, Evaluation, and Technology in Educational Research UPEJ Unnes Physics Education Journal JURNAL PENDIDIKAN MIPA Journal of Intelligent Decision Support System (IDSS) Jurnal Ilmiah Wahana Pendidikan Kognitif: Jurnal Riset HOTS Pendidikan Matematika JUSTIN (Jurnal Sistem dan Teknologi Informasi) J-Intech (Journal of Information and Technology) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Archive: Jurnal Pengabdian Kepada Masyarakat Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia JOINCS (Journal of Informatics, Network, and Computer Science) Journal Focus Action of Research Mathematic (Factor M) Innovative: Journal Of Social Science Research Jurnal MIPA dan Pembelajarannya Konstruktivisme : Jurnal Pendidikan dan Pembelajaran
Puspitasari, Wahyu Dwi
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
Development of a basic physics practical guide with PhET interactive simulation on the topic of kinematics and dynamics Puspitasari, Wahyu Dwi; Febrinita, Filda; Andrea, Tarra Hyuga
ORBITA: Jurnal Pendidikan dan Ilmu Fisika Vol 11, No 2 (2025): November
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/orbita.v11i2.35290

Abstract

Due to the lack of practical tools for supporting Basic Physics lecture activities, lecturers have turned to PhET Interactive Simulations. However, there is currently no guide to help lecturers and students conduct practical activities using these simulations. This research aimed to develop a guidebook for Basic Physics practicum activities utilizing PhET, evaluated by experts and small-scale users for feasibility. The research followed Borg and Gall’s R&D model, consisting of: (1) data collection, (2) planning, (3) product development, (4) product validation, (5) product revision, and (6) product trials. Data were gathered through observation, interviews, and questionnaires. Product validation was carried out by three experts—one each in material, media, and language. A small-scale product trial involved five randomly-selected students from the 2024/2025 Academic Year. Validation and trial data were analyzed by comparing scores to the maximum possible per question. The resulting product was a basic physics practicum guide using PhET for kinematics and dynamics. Expert validation indicated: (1) very worthy (3.88) by the material expert; (2) worthy (3.12) by the media expert; and (3) very worthy (3.80) by the language expert. The small-scale trial produced an average feasibility score of 3.33. Further research should include large-scale trials of the guide.
Persepsi mahasiswa fakultas teknologi informasi terhadap pembelajaran daring matematika komputasi pada masa pandemi covid-19 Febrinita, Filda; Puspitasari, Wahyu Dwi
Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Vol 7 No 2 (2021): Jurnal Math Educator Nusantara
Publisher : Program Studi Pendidikan Matematika, Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmen.v7i2.16606

Abstract

The implementation of online learning in computational mathematics courses has encountered various obstacles in addition to the decline in student learning outcomes. Therefore, research is aimed to explore student perceptions of online learning that has been carried out. The research used a descriptive method with a quantitative approach. The research subjects were students of the Information Technology Faculty of Unisba Blitar who had taken computational mathematics courses during the Covid-19 pandemic. The results showed that students had a positive perception of the aspects of the learning process although some students felt difficulty understanding theory and skills improvement. Positive perceptions are also shown in the competence aspect of lecturers, who become facilitators in the learning process. Furthermore, in the aspect of facilities and infrastructure, positive perceptions are shown in the ease of access to learning materials, the availability of online learning tools and the use of video conferencing in learning. Meanwhile, the negative aspect is shown in the fulfilment of the internet quota for online learning.
Analisis Sentimen Pengunjung Terhadap Fasilitas Dan Layanan Di Pantai Pudak Menggunakan Algoritma Lstm Yusuf, Muhammad Zidan Asrori; Lestanti, Sri; Puspitasari, Wahyu Dwi
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 5.A (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze visitor sentiment toward the facilities and services at Pudak Beach using the Long Short-Term Memory (LSTM) algorithm. The research adopts an applied study approach with text mining and deep learning-based sentiment analysis techniques. A total of 628 reviews were collected from Google Maps and processed through text preprocessing stages, including cleaning, case folding, tokenizing, stopword removal, and stemming, resulting in 419 clean data ready for analysis. The reviews were then classified into three sentiment categories: positive, neutral, and negative. The classification results showed that 306 reviews (73.03%) were positive, 69 reviews (16.47%) were neutral, and 44 reviews (10.5%) were negative. Model performance was evaluated using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The test results showed that the LSTM model achieved an accuracy of 96% on the training data and 74% on the test data. The highest precision, recall, and F1-score were obtained in the positive sentiment category, while the neutral and negative categories performed lower due to imbalanced data distribution. This study provides a real picture of visitor perceptions and demonstrates the potential of applying big data and Natural Language Processing (NLP) in strategic decision-making in the tourism sector.
Co-Authors Ahsan, Muhammad Fahmi Andrea, Tarra Hyuga Dewi, Dini Puspita Febrinita, Filda Indra Kurniawan Karina, Putri Merly Deleo Kartika, Kurnia Paranita Kurniawati, Naning Lestanti, Sri Prawitasari, Prawitasari Primasari, Yusniarsi Rahma, Ika Ayu Nur Ratika Sekar Ajeng Ananingtyas Rohman, Nanda Fatkhur Rohmiati, Dyah Palupi Saiful Nur Budiman Santi, Indyah Hartami Saputro, Ronggo Bayu Wahid Ibnu Zaman Wulandari, Dimas Cici Yusuf, Muhammad Zidan Asrori