Claim Missing Document
Check
Articles

Found 14 Documents
Search

Development of Application-Based Interactive Learning Media in Automotive Engineering Anwar, Choyrul; Umara, Andi Maga; Nurtanto, Muhammad; Sutrisno, Valiant Lukad Perdana; Nendra, Fadly; Febriyanto, Rusdi
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1538

Abstract

Learning media significantly impacts the effectiveness of the learning process. The automotive industry is experiencing rapid development, resulting in a high demand for technicians with expertise in the automotive field. The purpose of this study was to test the development of Smart Apps Creator (SAC) to create interactive learning resources for Engine Management Systems (EMS). This research and development (RD) project used the ADDIE development approach. Five subject matter experts and five media specialists comprised an expert assessment group that validated and evaluated the media to ensure its feasibility. In addition, 62 students reviewed the learning materials as users of the application. The media specialists' evaluation of the feasibility of the learning media construction resulted in a score of 4.02, which is considered practical. The subject matter experts' evaluation of the feasibility of the learning media material resulted in a score of 4.15, which is considered practical. The students' evaluation of the acceptance of the learning media as users resulted in a score of 4.07, which is classified as practical. Meanwhile, the application implementation in the learning process proved to increase learning success among students who used the program development. All things considered, the findings of this study can be used as evidence that application-based learning materials are worthy of widespread use, which will further improve teaching standards. Furthermore, vocational teachers must innovate in developing learning media by utilizing and integrating technology into the process. The creation of such media is necessary in the 21st century to provide easily accessible and understandable learning materials so that students can effectively absorb the information.
Model Pembelajaran SIMAS ERIC : Dampak Terhadap Komunikasi Matematis dan Self Efficacy Siswa Az-zahra, Nadia; Netriwati, Netriwati; Andriani, Siska; Nendra, Fadly
Jurnal Riset Pendidikan dan Inovasi Pembelajaran Matematika Vol. 6 No. 2 (2023): JRPIPM APRIL 2023
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jrpipm.v6n2.p143-153

Abstract

SIMAS ERIC yaitu Skimming, Mind Mapping, Questioning, Eksploring, Writing, dan Communicating merupakan model pembelajaran inovatif dengan 6 tahapan didalamnya. Model ini mampu menggiring siswa menjadi aktif dan mandiri dalam proses pembelajaran. Penelitian ini menggunakan metode kuantitatif dengan jenis penelitian quasi eksperimen design. Populasi pada penelitian ini dilakukan di kelas 8 SMPN 6 Metro. Penelitian ini menggunakan dua kelas yaitu penelitian kelas kontrol dan kelas eksperimen dengan teknik random sampling. Teknik pengumpulan data pada penelitian ini menggunakan tes, angket, wawancara, dan dokumentasi. Instrumen pada penelitian ini menggunakan tes dan angket. Teknik analisis data pada penelitian ini menggunakan uji normalitas,  homogenitas, dan hipotesis. Uji hipotesis menggunakan uji MANOVA (Multivariate Analisis of Variance).  Hasil penelitian menunjukkan bahwa diperoleh dampak positif dari model pembelajaran SIMAS ERIC terhadap komunikasi matematis dan self efficacy.
Aplikasi Deep Learning untuk Prediksi Hasil Belajar Matematika Berdasarkan Gaya Belajar Siswa Tulloh, Irza As-sajdah; Dwitasari, Putri; Pratama, Ayoudya Shakthi; Netriwati, Netriwati; Nendra, Fadly
Griya Journal of Mathematics Education and Application Vol. 5 No. 4 (2025): Desember 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i4.934

Abstract

This study aims to analyze the application of deep learning in predicting students’ mathematics learning outcomes based on their learning styles. This research employs a quantitative approach using descriptive, inferential, and predictive analysis techniques based on deep learning. The research sample consisted of 61 eleventh-grade students from SMAN 12 Bandar Lampung. Data were collected through a learning style questionnaire based on the VARK model (Visual, Auditory, Read/Write, and Kinesthetic) and a mathematics achievement test (posttest). Descriptive analysis results showed that the most dominant learning style was read/write. The Kolmogorov–Smirnov normality test indicated that the data were not normally distributed, so the analysis was continued using the Kruskal–Wallis test. The results showed an Asymp. Sig value of 0.684 (> 0.05), indicating no significant difference in mathematics learning outcomes among dominant learning style groups. Nevertheless, the implementation of deep learning still shows potential in assisting the prediction of learning outcomes by considering various factors such as motivation, teaching methods, and learning environment.
Mathematical Modeling of the Reinforcing the Profitability of Traditional Markets Netriwati, Netriwati; Qulyasry, Fadila; Nabila, Siti Ulfa; Nendra, Fadly; Sari, Meta
Ensiklopedia: Jurnal Pendidikan dan Inovasi Pembelajaran Saburai Vol 5, No 02 (2025): ENSIKLOPEDIA: Jurnal Pendidikan dan Inovasi Pembelajaran
Publisher : Universitas Sang Bumi Ruwa Jurai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24967/esp.v5i02.4439

Abstract

This study aims to develop a mathematical model to analyze the impact of the revitalization program at Koga Market, Bandar Lampung, on traders’ profits by examining the influence of sales volume, marketing costs, staple-goods prices, and infrastructure costs. Using a quantitative survey approach involving 50 randomly selected traders, data were collected through questionnaires, interviews, and documentation, and analyzed using descriptive statistics, classical assumption tests, and multiple linear regression. The results show that staple-goods prices and infrastructure costs have a strong and significant positive effect on traders’ profits, marketing costs also contribute positively, while sales volume shows a negative but insignificant effect. All classical assumptions were met, indicating that the regression model is valid for explaining the profit determinants. The findings confirm that market revitalization has generated measurable economic benefits through improved infrastructure and stable commodity prices, suggesting the need for continued infrastructure enhancement and strengthened marketing strategies to further support traders’ economic sustainability.