Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lulu Millatina Rachmawati"'
Autor:
Indra Chandra, Sherly Liana Putri, Rahmat Awaludin Salam, Lulu Millatina Rachmawati, Nabil Ananta Hasmul, Muhammad Fajri Hadi Syahputra
Publikováno v:
Jurnal Teknologi Lingkungan. 24:098-106
In this COVID-19 pandemic period, the majority of people do their activities indoors. A high number of activities could increase indoor pollution. Some of the pollutants easily found in the house include particulate matter with sizes of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b3f8a5310d9d9589622c4865585fccd
https://doi.org/10.55981/jtl.2023.236
https://doi.org/10.55981/jtl.2023.236
Publikováno v:
PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87f2bcc02fdce229f35fb7993aa2475e
https://doi.org/10.1063/5.0122348
https://doi.org/10.1063/5.0122348
Autor:
Lulu Millatina Rachmawati, Luthfi Wigi Avianto, Luthfi Rizqi Mubarak, Tazlila Rahmi Rasyid, Suwandi Suwandi, Suprayogi Suprayogi, Amaliyah Rohsari Indah Utami, Indra Chandra
Publikováno v:
Journal of Community Research and Service; Vol 6, No 2: July 2022; 141-147
One of the main factors that cause environmental damage in Indonesia is waste. Reducing waste by burning it directly without an incinerator will cause air pollution for the environment. CO2 is a substance produced by a complete combustion process. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a57ae846f9bbf8ebafa2d50739c1d610
https://jurnal.unimed.ac.id/2012/index.php/jcrs/article/view/33245
https://jurnal.unimed.ac.id/2012/index.php/jcrs/article/view/33245
Autor:
Lulu Millatina Rachmawati, Maiisy Jahja, Asep Suhendi, Muhammad Agfian Fadillah, D K Hertiana Bethaningtyas
Publikováno v:
Jurnal Infotel, Vol 12, Iss 3 (2020)
This study aims to make a device prototype for identifying vocal cord abnormalities based on Raspberry Pi. This prototype could classify the abnormalities into seven classes, i.e., cysts, granulomas, nodules, normal, papilloma, paralysis, and no voca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16fd5b6ca6a0ef8bd07ec7d28139c999
https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/487
https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/487