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Deteksi Jamur Beracun dan Tidak Beracun Menggunakan CNN dan YOLO Fajria, Nurul; Lifwarda, Lifwarda; Ramiati, Ramiati; Yulindon, Yulindon
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.453

Abstract

In Indonesia, which has a tropical climate there is a lot of wood which is very suitable for mushroom growth. However, some of these mushrooms are poisonous and should be avoided. By examining the morphological characteristics of the mushroom, such as the shape of the mushroom cap, color, smell, and other characteristics it is possible to identify between poisonous and non-poisonous mushrooms. However, some poisonous mushrooms have the same morphological characteristics as non-poisonous mushrooms, making it difficult for us to differentiate them when seen with the naked eye. As a solution to this problem, machine learning is needed to identify which mushrooms are poisonous and which are not. As in this research, Convolutional Neural Network (CNN) and You Only Look Once (YOLO) were used as methods for identification. The stages in this research include collecting datasets, modeling and training data, and the final process, namely deployment. CNN Method got an accuracy value of 55% and succeeded in identifying 5 correct and 5 incorrect images from the 10 images given. Meanwhile, using YOLOv5, we got a high accuracy value of 91% and succeeded in identifying 9 correct and 1 incorrect image out of the 10 images provided. From a comparison of the 2 methods, it was found that detecting poisonous and non-toxic mushrooms was better using the YOLO method than the CNN method
PRINSIP ETIKA LINGKUNGAN HIDUP DALAM BUKU CERITA RAKYAT SINGKAWANG 2019 (PENDEKATAN EKOLOGI SASTRA) Fajria, Nurul; Wirawan, Gunta; Mulyani, Sri
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 4 (2024): Volume 09 No. 04 Desember 2024 In Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i4.19167

Abstract

The purpose of this study is to analyze and describe the principles of environmental ethics in the “Buku Cerita Rakyat Singkawang 2019” and describe the implementation of research in Senior High School. This research was conducted on the basis of environmental problems that continue to occur and the existence of folklore that began to fade. The method used in this research is qualitative method with descriptive form. The approach used in this research is literary ecology. Literary ecology in this research is studied through the Sonny Keraf’s principles of environmental ethics. The result of this study show 9 principles of environmental ethic in “Buku Cerita Rakyat Singkawang 2019” with a total of 67 data. The data obtained are 12 principles of respect for nature, 13 principles of responsibility to nature, 10 principles of cosmic solidarity, 5 principles of caring for nature, 4 principles of no harm, 14 principles of living simply and in harmony with nature, 4 principles of justice, 4 principles of democracy, and 4 principles of moral integrity. The implementation of the result of this study is in the form of “Kurikulum Merdeka” teaching module on learning materials related to folklore in grade X Senior High School (SHS), namely on the material of “Hikayat” in Chapter 3: Tracig Values in Stories Across the Eras. The result of this study can be useful as a guide for the community in environmental ethics as well as the preservation of folklore as a culture.