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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar DECODE: Jurnal Pendidikan Teknologi Informasi
Adyanata Lubis
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Computer Science & IT Education Languange, Linguistic, Communication & Media Other

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Classification Of Palm Oil Maturity Using CNN (Convolution Neural Network) Modelling RestNet 50 Prasiwiningrum, Elyandri; Adyanata Lubis
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 3: NOVEMBER 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i3.822

Abstract

Accurate classification of palm fruit maturity levels is very important to optimize harvest time and increase production efficiency in the palm oil industry. Traditional methods that rely on visual assessment of factors such as fruit shedding and skin discoloration are prone to human error. To overcome this limitation, this research applies deep learning techniques, specifically using Convolutional Neural Network (CNN) with ResNet-50 architecture, to classify Fresh Fruit Bunches (FFB) into two stages of maturity: unripe and ripe. The model is trained and validated using a combination of data augmentation techniques to improve model performance. Various configurations were tested, including variations in data sharing, optimizer, and learning rate. The optimal configuration—90/10 training and validation data split, Adam optimizer, and learning rate of 0.0001—resulted in excellent model performance. The ResNet-50 model achieved 97% accuracy, with 96% precision, 98% recall, and an F1 score of 97%. This metric reflects the high reliability of the model in classifying palm fruit maturity levels, significantly reducing classification errors compared to traditional methods. This research highlights the transformational potential of deep learning to improve maturity classification in the palm oil industry, by offering a more efficient, accurate and automated approach. Further research should focus on expanding the dataset to increase model robustness as well as exploring real-time implementation to further improve decision making in palm oil production. This approach promises to increase agricultural efficiency by ensuring optimal harvest timing and better resource management.
ADAPTIVE LEARNING DALAM DESAIN INSTRUKSIONAL: PENDEKATAN STRATEGIS MENINGKATKAN KETERLIBATAN MAHASISWA DI E-LEARNING PERGURUAN TINGGI Rani; Jihan; Adyanata Lubis; Agung Setiawan
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 2 (2025): Volume 10 Nomor2, Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i2.27204

Abstract

This study aims to examine the integration of adaptive learning in instructional design and its impact on student engagement in the context of online learning in higher education. Using a systematic literature review approach, this study analyzes ten scientific articles through thematic analysis and source triangulation methods to obtain credible and comprehensive findings. The results of the analysis reveal that adaptive learning supports the personalization of the learning process through the use of learning analytics, learning style mapping, and adaptive content arrangement. Adaptive instructional design serves as an implementation framework that allows for learning flexibility through formative assessment, scaffolding, and material modularization. The integration of the two components has a positive impact on student engagement, both in the affective, cognitive, and behavioral dimensions. This study produces a conceptual model that explains the logical relationship between adaptive learning, instructional design, and student engagement. The implications of these findings encourage the development of a more personalized e-learning system and learning that is oriented to individual student needs.
PENGEMBANGAN APLIKASI E-LEARNING BERBASIS ANDROID UNTUK MENINGKATKAN AKSESIBILITAS PEMBELAJARAN Nur Aisyah; Cossy Maychandra; Adyanata Lubis; Agung Setiawan
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 2 (2025): Volume 10 Nomor2, Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i2.27242

Abstract

Abstract contains a brief description of the research objectives, methods used, instruments, data analysis techniques, and research results. The emphasis of writing abstracts is mainly on research results. Abstracts are written in Indonesian and English. Abstract typing is done single-spaced with margins that are narrower than the right and left margins of the main text. Keywords need to be included to describe the realm of the problem under study and the main terms that underlie the implementation of the research. Key words can be single words or a combination of words. The number of key words 3-5 words. These key words are necessary for computerization. Searching for research titles and abstracts is made easier with these key words.
Co-Authors AGUNG SETIAWAN Cossy Maychandra Jihan Nur Aisyah Prasiwiningrum, Elyandri Rani