Idealisme dan Dualisme Daur Ulang Sampah di Indonesia: Studi Kasus Kota Semarang

Setiadi, Rukuh; Nurhadi, Moh; Prihantoro, Feri

doi:10.14710/jil.18.1.48-57

Cited by 6 publications

(8 citation statements)

References 11 publications

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“…Dilation is the process of expanding or thickening the shapes or objects in an image. The dilation formula is calculated using Equation (2).…”

Section: Data Collectionmentioning

confidence: 99%

“…To this day, waste management is a persistent concern [1]. Numerous studies have identified waste as a serious barrier all across the world [1][2][3][4]. For example, during Eid al-Fitr, Yogyakarta, Indonesia, encountered waste accumulation issues due to all employees celebrating the holiday.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, it is critical to analyze the underlying causes of the problem and consider alternatives that do not rely exclusively on human intervention. In landfills, a large amount of waste has accumulated [2]. Slow waste management escalates waste accumulation.…”

Section: Introductionmentioning

confidence: 99%

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Image Processing Using Morphology on Support Vector Machine Classification Model for Waste Image

Fahmi,

Yudhana,

Sunardi

2023

matrik

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Sorting waste has always been an important part of managing waste. The primary issue with the waste sorting process has been the discomfort caused by prolonged contact with waste odor. A machinelearning method for identifying waste types was created to address this issue. The study’s goal was to create machine learning to solve waste management challenges by applying the most accurate categorization model available. The research approach was the quantitative analysis of the classification model accuracy. The Kaggle dataset was used to collect and curate data, which was subsequently preprocessed using the morphology approach. Based on picture sources, the data was trained and used to classify waste. The Support Vector Machine model was used in this investigation and feature extraction via the Convolutional Neural Network. The results showed that the system categorized waste successfully, with an accuracy of 99.30% and a loss of 2.47% across all categories. According to the findings of this study, SVM combined with morphological image processing functioned as a strong classification model, with a remarkable accuracy rate of 99.30%. This study’s outcomes contributed to waste management by giving an efficient and dependable waste classification solution compared to many previous studies.

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“…Dilation is the process of expanding or thickening the shapes or objects in an image. The dilation formula is calculated using Equation (2).…”

Section: Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Image Processing Using Morphology on Support Vector Machine Classification Model for Waste Image

Fahmi,

Yudhana,

Sunardi

2023

matrik

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“…Diperkirakan bahwa jumlah sampah secara global akan meningkat tiga kali lipat di tahun 2100 dan sekitar 11 juta ton sampah perkotaan akan dihasilkan per hari (Seacat and Boileau, 2018) dalam (Setiadi et al, 2020).Upaya pengelolaan sampah tidak saja menjadi tanggung jawab pemerintah saja, namun perlu dilakukan secara bersama-sama. Tidak dapat dipungkiri makhluk hidup sangat bergantung dengan alam, kita wajib menjaga, melestarikan dan membuat bumi menjadi tempat yang layak untuk ditinggali, tidak hanya untuk kebutuhan kita saat ini, tetapi juga untuk generasi yang akan datang.…”

Section: Pendahuluanunclassified

Pelatihan Pembuatan Kompos di Desa Pernek Kecamatan Moyo Hulu Kabupaten Sumbawa

Maliga¹,

Hasifah²,

Rafi'ah³

et al. 2022

abdira

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Along with the increase in population, there is no doubt that waste is also increasing. Household waste is grouped into organic and inorganic groups. Unlike inorganic waste, which can still be sold or reused, organic waste is identical to the process of decay if it is not disposed of immediately. Pernek Village is one of the villages that has not had access to waste transportation by garbage trucks to the TPA. This village only relies on vacant land as a temporary TPA, and most people carry out the process of burning waste. This will create new problems for the environment. The service program was carried out in Pernek Village in September 2021 involving 20 program participants. Implementation of service from providing materials and demos of making compost. As much as 95% of community service participants do not understand and have never done composting. After the training process, 100% of the participants agreed to carry out the composting process at home. This is very important so that household waste can be reduced from home.

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“…This waste problem also occurs in areas in Indonesia including Malang Regency. The issue of waste in Indonesia and other countries is a business that is decentralized to local governments (Setiadi et al, 2020). Data on waste management facilities from the National Waste Management Information Source (SIPSN) at the Malang Regency Landfill (Ministry of Environment and Forestry): The amount of waste in the Talangagung education tourism landfill is the most compared to other landfills in Malang Regency.…”

Section: Introductionmentioning

confidence: 99%

Waste Governance Through the "Waste to Energy" Program at the Final Processing Site of Talangagung Education Tourism in Malang Regency

Dewi

Roziqin

2022

JPPUMA

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This research aims to find out the governance at the Talangagung Education Tourism Final Processing Site (TPA) to overcome the waste problem. Waste is a community product that can cause environmental problems. Talangagung Educational Tourism Landfill, the largest landfill in Malang Regency has major challenges in waste management. The volume of waste at the Talangagung education tourism landfill every year continues to increase. Waste that is not managed properly will be based on the environment because it can cause pollution. This research is focused on waste to energy conducted by Talangagung Education Tourism Landfill in waste management. Paying attention to waste governance refers to Good Environmental Governance which involves all members of the public both from the government, the private sector, and the general public. This research uses qualitative descriptive methods with primary data through interviews and observations, as well as secondary data derived from researchrelated literature studies. The result in the implementation of waste governance at the Talangagung education tourism landfill with energy waste can meet the principles of good governance that produce benefits for the surrounding community. In conclusion, Talangagung Education Tourism Landfill can carry out waste governance with the latest energy for better environmental sustainability.

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Idealisme dan Dualisme Daur Ulang Sampah di Indonesia: Studi Kasus Kota Semarang

Cited by 6 publications

References 11 publications

Image Processing Using Morphology on Support Vector Machine Classification Model for Waste Image

Image Processing Using Morphology on Support Vector Machine Classification Model for Waste Image

Pelatihan Pembuatan Kompos di Desa Pernek Kecamatan Moyo Hulu Kabupaten Sumbawa

Waste Governance Through the "Waste to Energy" Program at the Final Processing Site of Talangagung Education Tourism in Malang Regency

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