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ANALISIS KETERSEDIAAN POHON SEBAGAI PENYERAP EMISI KARBON DI KAMPUS UNNES.

Geo-Image Journal · Vol. 7 No. 1 (2018) · pp. 1–10

DOI
10.15294/geoimage.v7i1.23387
ISSN
2549-0362, 2252-6285
Published
2018-05-30
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Emissions are substances, energy and or other components resulting from an activity which enter and or in the ambient air of stuffed into that have and or have no potential as polluter. On-campus UNNES emissions resulting from two sources, namely, from motor vehicles and the use of the genset. The population of this study is the tree and emissions. The variable in this study i.e. the distribution of the trees, the fuel consumption and carbondioxide emissions of the oil, the ability of tree in absorbing emissions. Data analysis technique use is describtive analysis, analysis of the quantity of emissions, absorptions analysis and comparison analysis. The result showedthat the area that has the most land is the Rectorat, ith a total of 10.264 tree. Total direct emissions generated in the campus UNNES is 1,395,709.52 Kg/year, and emission absorption by trees in UNNES is 6,289,250.38 Kg/year. This means that all existing on-campus area of UNNES was able to absorb the emissions it generates. This research shows that the more wide open green space then the number of trees that exist therein are also more and more, but the number of trees that many donot guarantee the magnitude of emission absorption ability on a tree because every region has different in absorbing emissions. This research shows that the more wide open green space then the number of trees that exist therein are also more and more, but the number of trees that many do not guarantee the magnitude of emission absorption ability on a every region because every tree because has different capabilities in absorbing emissions.

Collaboration network of the authors

40 authors · 94 co-authorship links · showing the 40 most connected

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  • University of Brawijaya
  • University of August 17, 1945 Banyuwangi
  • Universitas Islam Negeri Salatiga
  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Apik Budi SantosoAffiliation unknown2
Saptono PutroUniversity of Brawijaya2
Sriyanto SriyantoAffiliation unknown2
Arif PurnomoAffiliation unknown2
Ferani MulianingsihAffiliation unknown2
Erlina WahyuningtyasAffiliation unknown1
Hariyanto HariyantoAffiliation unknown1
Agus ArifinAffiliation unknown1
Anisa RistiyaniAffiliation unknown1
Sunarko SunarkoUniversity of August 17, 1945 Banyuwangi1
Diana IndriastutiAffiliation unknown1
Eka Nurul HidayahAffiliation unknown1
Agus PurnomoUniversitas Islam Negeri Salatiga1
Suroso SurosoAffiliation unknown1
Wahyu SetyaningsihAffiliation unknown1
Siva SafitriAffiliation unknown1
Nafi’atul UliaAffiliation unknown1
Arina SholihaAffiliation unknown1
Utik Milati HanifahAffiliation unknown1
Dewi Liesnoor SetyowatiState University of Semarang1
Migawati Hari Dwi JayantiAffiliation unknown1
Sriyono SriyonoAffiliation unknown1
Elina Rifda RakhmawatiAffiliation unknown1
Handayani HandayaniAffiliation unknown1
Satyanta ParmanAffiliation unknown1
Latifunnisa YesyAffiliation unknown1
Aji AnantoAffiliation unknown1
Rahayu Eklesia OkiAffiliation unknown1
Ana Sholihatin SeptiningsihAffiliation unknown1
Totok Sumaryanto FlotentinusAffiliation unknown1
Abdul MuntholibAffiliation unknown1
Lilik YuliantoAffiliation unknown1
Asep GinanjarAffiliation unknown1
Satrio Awal HandokoAffiliation unknown1
Aisyah Nur Sayidatun NisaAffiliation unknown1
Oktania Nelly KusaniAffiliation unknown1
Fatrikha Najma UntsaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/geoimage/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">ANALISIS KETERSEDIAAN POHON SEBAGAI PENYERAP EMISI KARBON DI KAMPUS UNNES.</dc:title>
	<dc:creator>Abdul, Chamid</dc:creator>
	<dc:creator>Liesnoor, Setyowati Dewi</dc:creator>
	<dc:creator>Tukidi, Tukidi</dc:creator>
	<dc:description xml:lang="en-US">Emissions are substances, energy and or other components resulting from an activity which enter and or in the ambient air of stuffed into that have and or have no potential as polluter. On-campus UNNES emissions resulting from two sources, namely, from motor vehicles and the use of the genset. The population of this study is the tree and emissions. The variable in this study i.e. the distribution of the trees, the fuel consumption and carbondioxide emissions of the oil, the ability of tree in absorbing emissions. Data analysis technique use is describtive analysis, analysis of the quantity of emissions, absorptions analysis and comparison analysis. The result showedthat the area that has the most land is the Rectorat, ith a total of 10.264 tree. Total direct emissions generated in the campus UNNES is 1,395,709.52 Kg/year, and emission absorption by trees in UNNES is 6,289,250.38 Kg/year. This means that all existing on-campus area of UNNES was able to absorb the emissions it generates. This research shows that the more wide open green space then the number of trees that exist therein are also more and more, but the number of trees that many donot guarantee the magnitude of emission absorption ability on a tree because every region has different in absorbing emissions. This research shows that the more wide open green space then the number of trees that exist therein are also more and more, but the number of trees that many do not guarantee the magnitude of emission absorption ability on a every region because every tree because has different capabilities in absorbing emissions.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2018-05-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/geoimage/article/view/23387</dc:identifier>
	<dc:identifier>10.15294/geoimage.v7i1.23387</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 7 No 1 (2018): Geo-Image; 1-10</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v7i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/23387/10933</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Geo-Image</dc:rights>
	<dc:rights xml:lang="en-US">https://journal.unnes.ac.id/sju/index.php/geoimage</dc:rights>
</oai_dc:dc>