Semantic Scholar Open Access 2023

Simulation Design Of Animal Waste Treatment Installation System Using Water Level Control System

I. N. Gunung I. N. L. Antara I. Sutarna Kadek Agus Mahabojana D. P. Made Dika Nugraha

Abstrak

The simulation design of this animal waste treatment plant is a design that applies the sewage treatment plant system which is made to cope with environmental pollution, especially rivers due to indiscriminate disposal of animal waste. Making this animal waste treatment plant provides information to readers or the public about how to design an animal waste treatment plant system and the performance of the sewage treatment system so that people know how to deal with environmental pollution caused by the livestock themselves. The manufacture of this installation system uses data collection methods from direct farmers and theories obtained from books, journals, articles related to sewage treatment plant theory, plumbing, electricity, and others. Finally, the data was collected by testing the animal dung waste treatment system where the test data was taken from the pH content of the water used for processing the animal dung waste treatment system. The test results on the sewage treatment plant system concluded that in order to obtain optimal results or water pH content, namely the pH content of 6, it is necessary to deposit animal manure between two to three days, while the maximum processing of this system is the pH content of 6.5. and processing of animal manure, which is on the fourth day to get the maximum pH content.

Penulis (5)

I

I. N. Gunung

I

I. N. L. Antara

I

I. Sutarna

K

Kadek Agus Mahabojana D. P.

M

Made Dika Nugraha

Format Sitasi

Gunung, I.N., Antara, I.N.L., Sutarna, I., P., K.A.M.D., Nugraha, M.D. (2023). Simulation Design Of Animal Waste Treatment Installation System Using Water Level Control System. https://doi.org/10.31940/logic.v23i1.8-15

Akses Cepat

Lihat di Sumber doi.org/10.31940/logic.v23i1.8-15
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.31940/logic.v23i1.8-15
Akses
Open Access ✓