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All Journal Indonesian Journal of Data and Science Journal of Community Dedication
I Made Marthana Yusa
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Social Sciences Other

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PENERAPAN KONSEP EKONOMI KREATIF PADA KOMUNITAS LOKAL UNTUK PENGEMBANGAN PARIWISATA BERKELANJUTAN I Made Marthana Yusa; Melyana R Pugu; Azy Athoillah Yazid; Al-Amin
JOURNAL OF COMMUNITY DEDICATION Vol. 5 No. 2 (2025): MEI
Publisher : CV. ADIBA AISHA AMIRA

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The purpose of this research is to see how Application of the Creative Economy Concept to Local Communities for Sustainable Tourism Development. The method of this research is This research is a type of literature research; This means that the information materials used come from library sources in the form of books, encyclopedias, magazines, journals, newspapers, journals, and others. The form of this research is descriptive, analytical, and critical. The application of the green economy concept in the local agricultural sector can have a positive impact on increasing productivity, especially with an approach that focuses on sustainability and wise management of natural resources. By involving the community in the development of creativity-based products, as well as introducing educational and environmentally friendly tourism, local communities can become the main actors in creating tourism that is not only economically beneficial, but also socially and ecologically responsible. However, challenges such as access to capital, infrastructure, and managerial knowledge need to be addressed with support from governments, the private sector, and educational institutions to ensure that the creative economy can develop sustainably in context.
Classification of Cavendish Banana Ripeness With CNN Method Tjokorda Istri Agung Pandu Yuni Maharani; I Gusti Agung Indrawan; Gede Dana Pramitha; Christina Purnama Yanti; I Made Marthana Yusa
Indonesian Journal of Data and Science Vol. 6 No. 2 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i2.259

Abstract

Cavendish bananas are one of the most widely consumed tropical fruits in Indonesia due to their sweet taste and high nutritional content. However, as they ripen, the sugar content in bananas increases, which can be a problem for diabetics. To help diabetics choose bananas with the right level of ripeness, this study developed a Cavendish banana ripeness classification model using artificial intelligence technology, namely the ResNet50 Convolutional Neural Network (CNN) architecture. The banana data is divided into five ripeness categories: green, yellowish green, yellow, spotted yellow, and spotted brownish yellow. The model was trained with two approaches, with and without data augmentation, using two types of training algorithms (optimizers), namely Adam and SGD, as well as a k-fold cross-validation method to ensure accurate results. The results showed that the ResNet50 model produced the highest accuracy of 98% when trained using data augmentation and the Adam optimizer with a learning rate setting of 0.0001.
Co-Authors Al-Amin Azy Athoillah Yazid Christina Purnama Yanti I Gusti Agung Indrawan Melyana R. Pugu Pramitha, Gede Dana Tjokorda Istri Agung Pandu Yuni Maharani