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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Deep Learning, Computer Vision and Digital Image Processing
Nur Aisyah
Universitas Negeri Makassar
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Materials Science & Nanotechnology Physics

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Kombinasi Tekstur dan Warna dalam Mengidentifikasi Kualitas Buah Rambutan Menggunakan Metode Jaringan Syaraf Tiruan Jumriah; Nur Aisyah; Andi Nur Humairah; Sasmita; Wahyu Hidayat M
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 2 Issue 2 September 2024
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v2i2.550

Abstract

Penelitian ini menekankan pentingnya meningkatkan produksi dan menilai kualitas buah rambutan di Indonesia, sebuah tanaman tropis yang bernilai gizi tinggi. Meskipun manfaat kesehatannya sudah diakui, evaluasi kualitas masih bergantung pada metode manual yang kurang akurat dan efisien. Beberapa penelitian sebelumnya telah mengusulkan metode berbasis teknologi, seperti pengolahan citra digital dan pendekatan kecerdasan buatan, untuk meningkatkan keakuratan penilaian kualitas buah rambutan. Namun, tingkat akurasi klasifikasi masih perlu ditingkatkan. Oleh karena itu, penelitian ini bertujuan untuk mengidentifikasi kualitas buah rambutan dengan memadukan analisis warna dan tekstur kulit menggunakan jaringan syaraf tiruan. Proses ini terdiri dari enam tahap utama yaitu akuisisi citra, preprocessing, segmentasi, operasi morfologi, ekstraksi fitur, hingga klasifikasi. Proses klasifikasi bergantung pada warna dan tekstur kulit, memanfaatkan dataset yang terdiri dari 300 citra rambutan dibagi menjadi tiga kelas yang berbeda. Untuk evaluasi lebih mendalam guna meningkatkan hasil klasifikasi citra secara signifikan.
Investigating the Interaction between Inquiry Learning Models and Cognitive Styles in Predicting Students’ Physics Learning Outcomes Nur Aisyah; Khaeruddin; A Sri Astika Wahyuni; Aulia Cahyani
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14484

Abstract

This study is a quasi-experimental study with a 2x2 factorial design. The aim of this research is to determine the effect of applying inquiry learning model and cognitive styles on the physics learning outcomes and the interaction between learning models and cognitive styles on physics learning outcomes. The population in this study were all physics students of grade XI, while the sample was taken from grades XI 2 and XI 6, which were selected based on the Cluster Random Sampling Technique. The research data were obtained by giving the GEFT test to students before using the learning model in this study, and the physics learning outcomes test was conducted after the application of the inquiry learning model. The data analysis technique used was ANOVA. Based on the inferential analysis, the Fcount (5.12) > Ftable (4.04), can be concluded that there’s a significant difference between students taught with GI and OI learning models, the Fcount (12.63) > Ftable (4.04), can be concluded that there’s a significant difference between students who have FI and FD cognitive styles, and the interaction value Fcount (4.19) > Ftable (4.04), can be concluded that there’s an interaction between learning models and cognitive styles on physics learning outcomes.
Co-Authors A Sri Astika Wahyuni Andi Nur Humairah Aulia Cahyani Jumriah Khaeruddin Sasmita Wahyu Hidayat M