Membentuk kesadaran dampak sampah melalui pemahaman gaya hidup minim sampah

Salim, Mufid; Hakim, Lukman; Mayangsari, Dwiyan; Taryono, M. Dani; Aprilliya, Shella; Kahar, Virna Julia; Perwirayudha, Kesawa

doi:10.25139/cds.v2i2.2995

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Saat ini, persoalan sampah menjadi salah satu tantangan global yang berkaitan erat dengan keberlanjutan lingkungan dan kesehatan manusia [1]. Pertumbuhan populasi yang pesat dan gaya hidup konsumtif berbanding lurus dengan produksi sampah diseluruh dunia [2]. Sayangnya, manusia belum mampu mengolahnya dengan efektif, sehingga menimbulkan dampak negatif bagi lingkungan dan ekosistem kehidupan [3].…”

Section: Pendahuluanunclassified

Klasifikasi Bahan Biodegradable dan Non-Biodegradable Menggunakan Convolutional Neural Network (CNN)

Latief,

Azfa Riyyasy,

Ulya

et al. 2024

STRING

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Deep Learning adalah sebuah bidang keilmuan baru dalam bidang Machine Learning yang akhir-akhir ini berkembang. Deep Learning memiliki kemampuan yang sangat baik dalam visi komputer. Salah satunya kegunaannya adalah pada kasus klasifikasi objek pada bahan biodegradable dan nonbiodegradable. Dengan mengimplementasikan metode CNN pada kasus ini dapat mengklasifikasikan sampah biodegradable dan non-biodegradable secara tepat dan efisien. Penelitian ini menggunakan data citra bahan biodegradable dan non-biodegradable yang bersumber dari Kaggle. Tahapan pada penelitian ini terdiri dari enam tahap. Tahap pertama ialah mengambil dataset. Tahap kedua merupakan tahap preprocessing dengan melakukan rescaling gambar. Tahap ketiga adalah membuat model CNN. Tahap keempat ialah training model untuk mendapatkan akurasi lebih tinggi. Tahap kelima merupakan evaluasi model dan yang terakhir adalah menguji model. Dari uji coba klasifikasi menggunakan metode CNN ini mendapatkan akurasi 93%. Sehingga dapat disimpulkan bahwa metode CNN yang digunakan pada paper ini mampu melakukan klasifikasi dengan baik.

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Section: Pendahuluanunclassified

Klasifikasi Bahan Biodegradable dan Non-Biodegradable Menggunakan Convolutional Neural Network (CNN)

Latief,

Azfa Riyyasy,

Ulya

et al. 2024

STRING

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“…Selain praktis dalam hal penyediaan makanan dengan cepat, praktik tersebut juga secara praktis meningkatkan volume sampah (Ambarsari, 2021). Kedua adalah gaya hidup, salah satu penyumbang sampah plastik terbesar di Indonesia berasal dari pabrik-pabrik minuman yang dikonsumsi oleh penduduk (Salim et al, 2020). Tingginya penggunaan bahan plastik untuk kebutuhan sehari-hari menjadi salah satu penyebab sampah laut yang perlu ditanggulangi sebagai bagian dari tanggung jawab lingkungan dari produsen yang membuat produk menggunakan plastik melalui Expanded Producer Responsibility (EPR) (Sari et al, 2021).…”

Section: Pressuresunclassified

Potensi pariwisata dan penanggulangan marine debris di kawasan pesisir Kabupaten Pangandaran

Fauzan,

Malik,

Kini

et al. 2023

JIKK

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Pangandaran Regency is a potential area to become a global tourism area. However, to achieve this besides maximizing potential, it is necessary to pay attention to the impact of tourism activities in coastal areas, one of which is the problem of marine debris. The research method used in this study is a descriptive qualitative method of secondary data processing. This study aims to identify the potential and recommendations from several kinds of literature that are relevant to the tourism area preservation program. This study concludes that Pangandaran Regency has natural resource potential with the existence of geodiversity, biodiversity, and coastal characteristics. Limited access, lack of promotion, low budget, and low quality of service are some of the weaknesses that hinder tourism development. With DPSIR modeling, this study reviews several responses to the waste problem by providing several alternative points for handling marine debris as technology implementation, utilization of marine debris, and overall collaboration between the government and the community.

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“…Mindset and lifestyle towards low-waste lifestyle is an effort to be environmentally-friendly action and avoid everything that causes waste starting from yourself. The lifestyle of minimal waste is to minimize waste as much as possible so as to prevent the increasing amount of waste produced by humans (6). Consumption patterns by practicing low-waste lifestyle, can reduce a lot of waste, facilitate environmental preservation, and minimize the final environmental impact (7).…”

Section: Less Wastementioning

confidence: 99%

The Role of Minimal Waste Education on The Understanding and Habits of Students in Sidenreng Rappang

Nurmayanti¹,

Syamsunir²,

Damayanti

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The Inter-Governmental Panel on Climate Change (IPCC) states that climate change is caused by increasing global warming as a result of human activities in various sectors of life, including the problem of waste. Lifestyle, lack of public awareness in controlling the waste is one of the important keys in increasing global warming. The study aims to find out the extent of adolescents’ understanding related to waste, waste management, and low-waste lifestyle. It was also to know the relationship between waste education and students’ awareness in handling waste in the surrounding environment. The data was obtained through online instruments distributed to students, the observation and other supporting media. The research employed a quantitative approach with quantitative descriptive analysis techniques using percentages. The results of the data analysis showed that the level of students’ knowledge related to waste, waste control and low-waste lifestyle was in the good category, which reached an average of 83% correct answers. However, it was not in line with the students’ habits in minimizing food waste and plastic waste where 29.4% chose to throw away and 20.6% chose to burn. This was in line with the fact that there were still 14.6% of students who had not received education related to waste. It can be the basis for improving waste processing education in the educational environment as an effort to overcome climate change.

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Membentuk kesadaran dampak sampah melalui pemahaman gaya hidup minim sampah

Cited by 3 publications

References 4 publications

Klasifikasi Bahan Biodegradable dan Non-Biodegradable Menggunakan Convolutional Neural Network (CNN)

Klasifikasi Bahan Biodegradable dan Non-Biodegradable Menggunakan Convolutional Neural Network (CNN)

Potensi pariwisata dan penanggulangan marine debris di kawasan pesisir Kabupaten Pangandaran

The Role of Minimal Waste Education on The Understanding and Habits of Students in Sidenreng Rappang

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