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KAJIAN EMISI CO2 DARI PEMANFAATAN ENERGI RUMAH TANGGA DI KELURAHAN CANDI KOTA SEMARANG

Geo-Image Journal · Vol. 6 No. 2 (2017) · pp. 147–157

DOI
10.15294/geoimage.v6i2.19058
ISSN
2549-0362, 2252-6285
Published
2017-11-09
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The imbalance between the settlement area (53.27%) and the RTH (9.73%) in the Candi Village gave the GHG potential from high CO2. The extent of residential land affects the high emissions from energy consumption due to the large number of households, while at least green space causes the low absorption of CO2. The research objectives were: (1) analyzed carbon dioxide emissions by home energy consumption and (2) analyzed the absorption of carbon dioxide by trees from household energy consumption. The research population is household and tree. Sampling technique for household is purposive sampling and proportional random sampling. While the trees with a thorough enumeration technique. Variabel research consists of (1) emissions of carbon dioxide from energy utilization and (2) the absorption of emissions by trees. Methods of data collection are observation, interview, and documentation, and data analysis using formula calculation, comparative analysis, and descriptive percentage analysis. The results stated that total emissions from gasoline consumption amounted to 881.10 tons/year, LPG of 976,61 tons/year, and electricity 3.377,20 tons/year). The total emission is 5.243,48 ton/year, while total absorption is 1.072,45 ton/year, so there are 4.17102 ton/year of emission that can not be absorbed.

Collaboration network of the authors

40 authors · 147 co-authorship links · 5 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • University of Brawijaya
  • Tarumanagara University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Puji HardatiAffiliation unknown6
Hamdan Tri AtmajaAffiliation unknown5
Erni SuhariniAffiliation unknown5
Suroso SurosoAffiliation unknown5
Hariyanto HariyantoAffiliation unknown4
Tjaturahono Budi SanjotoAffiliation unknown4
Juhadi JuhadiAffiliation unknown3
Wasino WasinoTarumanagara University3
Purwadi SuhandiniAffiliation unknown3
Satya Budi NugrahaAffiliation unknown3
Ananto AjiAffiliation unknown2
Heri TjahonoAffiliation unknown2
Saptono PutroAffiliation unknown2
Fadly HusainAffiliation unknown2
Agustinus Sugeng PriyantoAffiliation unknown2
Hairumini HairuminiAffiliation unknown2
Eva BanowatiAffiliation unknown2
Apik Budi SantosoAffiliation unknown2
Andi Irwan BenardiAffiliation unknown2
Tukidi TukidiAffiliation unknown2
Muhammad AbdullahState University of Semarang1
Luchman HakimUniversity of Brawijaya1
Dian SiswantoUniversity of Brawijaya1
Thriwaty ArsalAffiliation unknown1
Rudiyanto RudiyantoAffiliation unknown1
Sarto SartoAffiliation unknown1
Afkar Jihad Al-afghani AfkarAffiliation unknown1
Ariyani IndrayatiAffiliation unknown1
Wiwit Lutfita SetianingrumAffiliation unknown1
Indah Nur SyafiraAffiliation unknown1
Ummi 'IsyaturadhiyyahAffiliation unknown1
Wahid Akhsin Budi NursidiqAffiliation unknown1
Anisa ShofianaAffiliation unknown1
ika budhi haryantoAffiliation unknown1
R SugiyantoAffiliation unknown1
Yudi AryantoAffiliation unknown1
Aji Setiyo NugrohoAffiliation 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">KAJIAN EMISI CO2 DARI PEMANFAATAN ENERGI RUMAH TANGGA DI KELURAHAN CANDI KOTA SEMARANG</dc:title>
	<dc:creator>Subkhan, Akhmad</dc:creator>
	<dc:creator>Setyowati, Dewi Liesnoor</dc:creator>
	<dc:creator>Setyaningsih, Wahyu</dc:creator>
	<dc:description xml:lang="en-US">The imbalance between the settlement area (53.27%) and the RTH (9.73%) in the Candi Village gave the GHG potential from high CO2. The extent of residential land affects the high emissions from energy consumption due to the large number of households, while at least green space causes the low absorption of CO2. The research objectives were: (1) analyzed carbon dioxide emissions by home energy consumption and (2) analyzed the absorption of carbon dioxide by trees from household energy consumption. The research population is household and tree. Sampling technique for household is purposive sampling and proportional random sampling. While the trees with a thorough enumeration technique. Variabel research consists of (1) emissions of carbon dioxide from energy utilization and (2) the absorption of emissions by trees. Methods of data collection are observation, interview, and documentation, and data analysis using formula calculation, comparative analysis, and descriptive percentage analysis. The results stated that total emissions from gasoline consumption amounted to 881.10 tons/year, LPG of 976,61 tons/year, and electricity 3.377,20 tons/year). The total emission is 5.243,48 ton/year, while total absorption is 1.072,45 ton/year, so there are 4.17102 ton/year of emission that can not be absorbed.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2017-11-09</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/19058</dc:identifier>
	<dc:identifier>10.15294/geoimage.v6i2.19058</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 6 No 2 (2017): Geo - Image; 147 - 157</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v6i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/19058/9017</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Geo-Image</dc:rights>
	<dc:rights xml:lang="en-US">http://journal.unnes.ac.id/sju/index.php/geoimage</dc:rights>
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