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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) · hlm. 147–157

DOI
10.15294/geoimage.v6i2.19058
ISSN
2549-0362, 2252-6285
Terbit
2017-11-09
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

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.

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  • State University of Semarang
  • University of Brawijaya
  • Tarumanagara University
  • Universitas Halu Oleo
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Puji HardatiAfiliasi tidak diketahui6
Hamdan Tri AtmajaAfiliasi tidak diketahui5
Erni SuhariniAfiliasi tidak diketahui5
Suroso SurosoAfiliasi tidak diketahui5
Hariyanto HariyantoAfiliasi tidak diketahui4
Tjaturahono Budi SanjotoAfiliasi tidak diketahui4
Juhadi JuhadiAfiliasi tidak diketahui3
Wasino WasinoTarumanagara University3
Purwadi SuhandiniAfiliasi tidak diketahui3
Ananto AjiAfiliasi tidak diketahui3
Satya Budi NugrahaAfiliasi tidak diketahui3
Heri TjahonoAfiliasi tidak diketahui2
Saptono PutroUniversity of Brawijaya2
Fadly HusainAfiliasi tidak diketahui2
Agustinus Sugeng PriyantoAfiliasi tidak diketahui2
Hairumini HairuminiAfiliasi tidak diketahui2
Eva BanowatiAfiliasi tidak diketahui2
Muhammad AminUniversitas Halu Oleo2
Apik Budi SantosoAfiliasi tidak diketahui2
Andi Irwan BenardiAfiliasi tidak diketahui2
Tukidi TukidiAfiliasi tidak diketahui2
Muhammad AbdullahState University of Semarang1
Luchman HakimUniversity of Brawijaya1
Dian SiswantoUniversity of Brawijaya1
Puji HardatiState University of Semarang1
Thriwaty ArsalState University of Semarang1
Rudiyanto RudiyantoAfiliasi tidak diketahui1
Sarto SartoAfiliasi tidak diketahui1
Afkar Jihad Al-afghani AfkarAfiliasi tidak diketahui1
Ariyani IndrayatiAfiliasi tidak diketahui1
Wiwit Lutfita SetianingrumAfiliasi tidak diketahui1
Indah Nur SyafiraAfiliasi tidak diketahui1
Ummi 'IsyaturadhiyyahAfiliasi tidak diketahui1
Wahid Akhsin Budi NursidiqAfiliasi tidak diketahui1
Anisa ShofianaAfiliasi tidak diketahui1
ika budhi haryantoAfiliasi tidak diketahui1
Yudi AryantoAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/geoimage/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (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>
</oai_dc:dc>