Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Intelek Dan Cendikiawan Nusantara SEARCH: Science Education Research
Nofri Yuhelman
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Development of Acid-Base E-Modules Based on Guided Discovery Learning Using React Native to Improve Problem Solving Skills of Phase F High School Students Rivo Juita Sudirman; Yerimadesi; Andromeda; Riga; Nofri Yuhelman
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.12212

Abstract

The study aims to develop an acid-base e-module based on guided discovery learning using React Native to improve the problem-solving skills of senior high school students. The research method is Educational Design Research (EDR) using the Plomp model. The e-module using React Native is presented in the form of a mobile application that can be accessed on smartphones. The presentation of acid-base material in the e-module is adapted to the syntax of Guided Discovery Learning. The e-module was validated by 5 validators, including 3 subject matter experts and 2 media experts, using a questionnaire analysed with Aiken's V. Practicality was assessed by 9 students representing low, medium, and high ability categories using a questionnaire in the small group stage, analysed using achievement percentages. Effectiveness was determined by comparing pre-test and post-test scores of students using the N-gain formula. The validation results of the acid-base e-module using React Native were 0.90, categorized as valid, and the practicality of the e-module was 92%, categorized as highly practical. Effectiveness was obtained from N-gain data of 0.71, categorised as high (sufficiently effective). Hypothesis testing was conducted using the Wilcoxon test because the data was not normally distributed, with a sign of < 0.001, indicating that the acid-base e-module based on guided discovery learning using React Native can improve the problem-solving skills of senior high school students in phase F.
Pengembangan Pengembangan Instrumen Penilaian Penerapan Deep Learning dalam Pembelajaran Kimia: Analisis Model Rasch Yerimadesi; Iryani; Faizah Qurrata Aini; Fauzana Gazali; Nofri Yuhelman; Rivo Juita Sudirman; Diva Salsabila; Zaqiya Zahwa Alifa; Mentari Az Zahra
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14841

Abstract

This study aims to develop a valid and reliable assessment instrument for the application of deep learning in high school chemistry instruction. The development of the instrument is based on Wilson’s Four Building Blocks approach (2005), which includes construct maps, items, item scores, and measures. The study was conducted with 271 twelfth-grade students from three public high schools in West Sumatra, selected through purposive sampling. Data were collected using a student perception questionnaire designed based on the four pillars of deep learning implementation: graduate profile dimensions, learning principles, learning experiences, and learning frameworks. Content validity was analyzed using Aiken’s V, while empirical validity and reliability were tested using the Rasch Model. The results showed an average Aiken’s V value of 0.90, indicating excellent content validity. Rasch analysis yielded a respondent reliability of 0.97 and an item reliability of 0.95, with fit statistics within the ideal range and supporting construct unidimensionality. From the initial 116 items, the final instrument consists of 46 items that passed through a rigorous empirical selection process to ensure high measurement quality. Thus, this instrument is suitable for evaluating the level of deep learning implementation at the elementary to intermediate levels in high school chemistry education.
Tradisi Rewang Sebagai Kearifan Lokal Masyarakat Jawa Transmigran di Piruko Kabupaten Dharmasraya Alfia Khairani; Nofri Yuhelman; Annisa Febriana Yasmin; Husuatun Nisa; Tifa Andriani; Wulan Fitrianingsih
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 6 (2025): Desember 2025 - Januari 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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

Abstract

Tradisi rewang merupakan salah satu bentuk kearifan lokal masyarakat Jawa yang hingga kini masih hidup dan berkembang di Piruko, Nagari Sitiung, Kecamatan Sitiung, Kabupaten Dharmasraya. Di tengah arus modernisasi dan budaya instan, rewang tetap menjadi ruang sosial yang menghidupkan semangat gotong royong, kebersamaan, dan rasa saling peduli antarwarga. Penelitian ini bertujuan untuk menggambarkan makna, pelaksanaan, serta nilai-nilai sosial yang terkandung dalam tradisi rewang yang dikenal dengan istilah lir gumanti (bergilir dan berganti). Menggunakan pendekatan kualitatif deskriptif, data dikumpulkan melalui wawancara, observasi langsung, dan dokumentasi. Hasil penelitian menunjukkan bahwa rewang bukan hanya bentuk bantuan dalam hajatan, tetapi juga sistem sosial yang terorganisir, diwariskan lintas generasi, dan menjadi perekat identitas budaya masyarakat Jawa di tanah rantau. Rewang menjadi bukti bahwa kearifan lokal mampu bertahan, beradaptasi, dan tetap relevan dalam kehidupan masyarakat masa kini.
Implementation of Interactive Kahoot! Quizzes on Atomic Structure to Enhance Student Learning Motivation Wahyu Hidayati; Nofri Yuhelman; Rahadian Zainul
SEARCH: Science Education Research Journal Vol. 4 No. 2 (2026): April 2026
Publisher : IAIN Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47945/search.v4i2.3200

Abstract

This study aims to describe the improvement of students' learning motivation in chemistry, specifically on the topic of atomic structure, through the implementation of a series of instructional improvements incorporating the educational game platform Kahoot!. The study was motivated by the low level of student motivation observed during chemistry lessons, both in individual and group activities, which was presumed to be caused by conventional, low-interaction teaching approaches. This research employed a Classroom Action Research (CAR) design following the Kemmis and McTaggart model, comprising two cycles, with each cycle consisting of planning, action, observation, and reflection stages. The subjects were 40 tenth-grade students at SMA Negeri 3 Padang. Data were collected using a learning motivation observation sheet designed to assess seven indicators of student motivation, including student engagement, initiative, communication, collaboration, information-seeking, and respect for peers' contributions. The collected data were analyzed descriptively using percentage calculations, with the results of each cycle used as a basis for reflection and refinement of actions in the subsequent cycle. The results showed an increase in the average percentage of student learning motivation from Cycle I to Cycle II, from 44.72% to 82.6%, exceeding the predetermined minimum target of 75%. This increase is attributed to the cumulative effect of the instructional improvements implemented in Cycle II, in which Kahoot! served as one component alongside increased teacher-student interaction and expanded opportunities for student participation. Based on the observation results across the two cycles, it can be concluded that the combination of these improvements, with Kahoot! as a key gamification element, was associated with an improvement in students' learning motivation in chemistry.
Co-Authors Alfia Khairani Andromeda Annisa Febriana Yasmin Diva Salsabila Faizah Qurrata Aini Fauzana Gazali Husuatun Nisa Iryani Mentari Az Zahra Rahadian Zainul Riga Rivo Juita Sudirman Rivo Juita Sudirman Tifa Andriani Wahyu Hidayati Wulan Fitrianingsih Yerimadesi Zaqiya Zahwa Alifa