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dc.contributor.authorAMALIA, Anggi Farika
dc.date.accessioned2024-08-08T01:41:58Z
dc.date.available2024-08-08T01:41:58Z
dc.date.issued2024-06-20
dc.identifier.nim201810201005en_US
dc.identifier.urihttps://repository.unej.ac.id/xmlui/handle/123456789/123009
dc.descriptionFinalisasi repositori tanggal 8 Agustus 2024_Kurnadi_Lanaen_US
dc.description.abstractThe monitoring well located at the Pakusari landfill was detected to contain the heavy metal manganese. Removal of manganese in contaminated water wells can be done using activated carbon and membrane-based air treatment techniques. The incorporation of activated carbon into membranes is a topic that is currently being developed a lot. The aim of this research is to reduce manganese in polluted water wells using a nylon-carbon membrane. Synthesis of activated carbon from coconut shells was carried out at a carbonization temperature of 500 ᵒC for 1 hour, then activated using 25 wt% NaOH (1:3). Nylon-carbon membranes are made by mixing nylon and activated carbon from coconut shells in various mass fractions of 100%:0% (membrane A); 90%:10% (membrane B); 80%:20% (membrane C); 70%:30% (membrane D); 60%:40% (membrane E). The performance of the membrane in reducing manganese in contaminated air wells was carried out by measuring the swelling degree, membrane flux, and rejection coefficient. The results of the research showed that the best membrane performance was produced by membrane E with the smallest swelling degree of 10,89%, the membrane flux and rejection coefficient were the largest at 44,28 L/m2.hour and 64,04% respectively.en_US
dc.language.isootheren_US
dc.publisherFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.subjectMembran Nilon-Arangen_US
dc.subjectLogam Berat Manganen_US
dc.titleKinerja Membran Nilon-Arang pada Proses Penjernihan Air Sumur Terkontaminasi Logam Berat Manganen_US
dc.typeOtheren_US
dc.identifier.prodiFisikaen_US
dc.identifier.pembimbing1Wenny Maulina, S.Si., M.Sien_US
dc.identifier.pembimbing2Dr. Artoto Arkundato, S.Si., M.Si.en_US
dc.identifier.validatorvalidasi_repo_ratna_juni_2024en_US


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