Widya, Herma
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Identifying Student Misconceptions Using Three-Tier Test with Certainty of Response Index on Temperature and Heat Topics Oktavia, Popy; Suhadi, Suhadi; Widya, Herma; Putri, Jamiatul Khairunnisa; Mabruroh, Faizatul
KONSTAN - JURNAL FISIKA DAN PENDIDIKAN FISIKA Vol 9 No 02 (2024): KONSTAN (Jurnal Fisika dan Pendidikan Fisika)
Publisher : Universitas Islam Negeri (UIN) Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/konstan.v9i02.553

Abstract

This research aims to identify students' misconceptions using a Three-Tier diagnostic test assisted by the Certainty of Response Index (CRI) on temperature and heat material. The data analysis method used in this research is quantitative descriptive and equipped with a three-tier Certainty of Response Index (CRI). The population in this study was class XI 1 IPA MAN 1 Musi Banyuasin with 30 students, and the sample in this study was class. Data collection techniques were used during the observation, test, and documentation stages. The research results showed that the misconceptions identified regarding the concept of temperature and heat were 40%, 36% understood the concept, 6% understood the concept but needed clarification and 18% needed to learn the concept. The misconceptions experienced by students are classified as moderate-level misconceptions with a percentage range of 31% ≥ 60%. The cause of misconceptions is the students' errors in learning context and incomplete reasoning. It is hoped that the results of this research can provide information about misconceptions that occur in the matter of temperature and heat and can serve as a guide for further research to find out the causes of misconceptions and efforts to overcome them.
Pengembangan Buku Panduan Praktikum Fisika Berbasis Problem Solving pada Materi Listrik Statis Wulandari, Vira; Hartatiana, Hartatiana; Widya, Herma
Jurnal Pendidikan dan Ilmu Fisika Vol 3 No 2 (2023): December 2023
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v3i2.2684

Abstract

Penelitian ini bertujuan untuk menghasilkan bahan ajar berupa buku panduan praktikum berbasis problem solving pada materi listrik statis yang valid dan praktis. Penelitian ini dilakukan di SMA Negeri 6 Palembang pada semester genap tahun ajaran 2022/2023 dengan subjek penelitian yaitu peserta didik kelas XII IPA. Penelitian ini menggunakan model pembelajaran problem solving dengan metode penelitian Research and Development (R&D)  model Borg & Gall. Teknik pengumpulan data yang digunakan berupa observasi, wawancara, angket, dan dokumentasi. Instrumen yang digunakan pada pengumpulan data yaitu angket yang diberikan kepada ahli materi, ahli media, ahli bahasa dan responden yang bertujuan untuk menguji divalidasi dan kepraktisan dari bahan ajar yang telah dikembangkan. Hasil penelitian ini yaitu telah dikembangkan buku panduan praktikum berbasis problem solving pada materi listrik statis yang telah divalidasi oleh para validator. Hasil validasi ahli materi sebesar 88%, ahli media sebesar 96%, dan ahli bahasa sebesar 98% dengan kategori sangat valid. Hasil uji coba lapangan diperoleh persentase respons peserta didik sebesar 89% dan respons pendidik sebesar 89% dengan kategori sangat praktis. Berdasarkan hasil penelitian dapat disimpulkan bahwa bahan ajar berbasis problem solving pada materi listrik statis yang telah dikembangkan sangat valid dan sangat praktis serta dapat digunakan dalam proses pembelajaran.
Penerapan Algoritma Machine Learning dalam Analisis Pola Kesalahan Konseptual Siswa pada Pembelajaran Sains Diningrat, Mohammad Santosa Mulyo; Mabruroh, Faizatul; Widya, Herma; Nurhamidah, Nurhamidah
Jurnal Pendidikan dan Ilmu Fisika Vol 5 No 1 (2025): Juni 2025
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpif.v5i1.42586

Abstract

Science education often faces challenges related to conceptual errors made by students, which can hinder their understanding of the material being taught. This study aims to identify and analyze common conceptual errors through the application of machine learning algorithms. The method employed in this research is a literature review approach, where various relevant studies are analyzed to understand the application of machine learning in the context of science education. The findings of the study indicate that several machine learning algorithms, such as large language models and interactive visualization techniques, can be utilized to detect misconceptions in students with higher accuracy and provide more personalized feedback. Although there are some challenges related to the accuracy and reliability of the systems used, the application of these techniques shows significant potential in enhancing the effectiveness of science education. Overall, the application of machine learning in science education can make a substantial contribution to helping teachers analyze and correct the conceptual errors made by students, ultimately improving the quality of the learning process. The implications of this research suggest the need for further development to create technology-based education systems that can better respond to students' learning needs.
Rancang Bangun Media Pembelajaran Konversi Energi Berbasis Generator Mini untuk Pendidikan Fisika di Era Digital Learning Auliya, Nadifatul; Nurhamidah, Nurhamidah; Widya, Herma; Mawa, Galdah; Ira, Ira
SIBERNETIK: Jurnal Pendidikan dan Pembelajaran Vol. 3 No. 2 (2025): SIBERNETIK: Jurnal Pendidikan dan Pembelajaran
Publisher : UPT Publikasi dan Penerbitan Universita San Pedro

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

Abstract

Pembelajaran fisika pada era digital masih dihadapkan pada keterbatasan media eksperimen yang mampu menghadirkan kegiatan belajar secara interaktif, akurat, dan terintegrasi dengan teknologi. Di banyak sekolah, materi konversi energi masih disampaikan melalui demonstrasi tradisional, sehingga siswa sering mengalami kesulitan ketika harus memahami hubungan kuantitatif antara tegangan, arus, daya, dan intensitas cahaya. Kondisi ini menunjukkan perlunya pengembangan media pembelajaran yang lebih relevan, kontekstual, serta mendukung penerapan digital learning. Penelitian ini diarahkan untuk merancang dan mengembangkan media belajar mengenai konversi energi dengan memanfaatkan generator mini yang terhubung dengan perangkat digital sebagai alat bantu eksperimen fisika. Pendekatan yang digunakan adalah metode Research and Development (R&D), yang mencakup tahap perencanaan, pembuatan prototipe, pengujian kinerja, serta analisis data. Pengambilan data tegangan, arus, dan daya dilakukan menggunakan multimeter, sedangkan tingkat pencahayaan diukur melalui aplikasi Light Meterv. Hasil penelitian memperlihatkan bahwa semakin besar tegangan yang diberikan, semakin tinggi pula arus, daya, dan intensitas cahaya yang dihasilkan oleh sistem. Temuan tersebut menunjukkan bahwa media pembelajaran yang dikembangkan mampu merepresentasikan proses konversi energi dengan cara yang interaktif dan dapat diukur secara jelas. Keberadaan media ini memberikan kontribusi penting bagi pembelajaran fisika karena membantu siswa memahami konsep secara lebih nyata, meningkatkan partisipasi belajar, serta selaras dengan kebutuhan pembelajaran modern yang berbasis teknologi abad ke-21.
DEVELOPMENT OF A CLIMATE CHANGE E-MODULE THROUGH ANALYSIS OF RAINFALL TRENDS AND PATTERNS TO ENHANCE THE 4C SKILLS OF PROSPECTIVE PHYSICS TEACHERS Widya, Herma; Nurhamidah; Jhoni, Muhammad
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/ka9a1m03

Abstract

Climate change education demands innovative strategies that equip future educators with both scientific understanding and 21st-century teaching skills. This study aims to develop and evaluate an inquiry-based e-module on climate change, centered around local rainfall trend data, to enhance the conceptual knowledge and 4C competencies—critical thinking, creativity, collaboration, and communication—of pre-service physics teachers in Indonesia. The research employed the ADDIE instructional design model and involved validation by experts and pilot implementation with 57 student teachers. The e-module was developed using multimedia tools and structured around guided inquiry stages. Validation results indicated high content and media quality, while effectiveness testing showed a significant increase in cognitive learning, with a mean N-Gain score of 0.71. Performance assessments also revealed very high achievements across all 4C dimensions. Participants demonstrated improved analytical reasoning, contextual problem-solving, and scientific communication skills.These findings suggest that integrating local climate data into inquiry-based digital learning modules fosters both cognitive and competency-based outcomes. The module aligns with curricular standards and responds to the growing need for climate-responsive teacher education. It provides a scalable model for future implementation in diverse educational settings and contributes to the advancement of environmental literacy and data-driven pedagogy in science education..