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Journal

EVALUASI SEBARAN LOKASI DAN TINGKAT KEPUASAN KONSUMEN STASIUN PENGISIAN BAHAN BAKAR UMUM BERBASIS APLIKASI SISTEM INFORMASI GEOGRAFIS DI KABUPATEN DEMAK

Geo-Image Journal · Vol. 6 No. 2 (2017) · pp. 98–107

DOI
10.15294/geoimage.v6i2.19023
ISSN
2549-0362, 2252-6285
Published
2017-11-08
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Business development of Gas Station increases every year. This is in line with the level of consumption of oil so that it affects what is required by consumers. Therefore, it takes a thought to overcome it. The population is SPBU in Demak Regency as many as 20 pieces and all gas stations used as sample. Samples for customer satisfaction use incidental sampling technique. The research variables are (1) Variable distribution of gas stations location: number, distance, and location of gas station, number and type of motor vehicle, traffic density; (2) Variable levels of customer satisfaction: tangible, empathy, reliability, assurance, and responsiveness. The research analyzes used Geographic Information System analysis, nearest neighbor analysis, and quantitative descriptive. The results showed that the distribution pattern of gas stations has a uniformly distributed pattern; The location suitability class of 20 gas stations is included in the appropriate criteria (S2) with the calculation of 70%; And customer satisfaction to the service provided from the SPBU of 4,991 which, when included in the assumption of research calculation included in the Good category. With the results of these shows that the distribution of location and level of consumer satisfaction SPBU in Demak Regency region including good criteria.

Collaboration network of the authors

40 authors · 140 co-authorship links · 2 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.

  • University of Brawijaya
  • Sebelas Maret University
  • 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
Sriyono SriyonoAffiliation unknown10
Puji HardatiAffiliation unknown8
Andi Irwan BenardiAffiliation unknown8
Hariyanto HariyantoAffiliation unknown7
Juhadi JuhadiAffiliation unknown4
Apik Budi SantosoAffiliation unknown4
Wahyu SetyaningsihAffiliation unknown4
SriyantoAffiliation unknown3
Muhammad Dwi Utomo AjiAffiliation unknown3
Sriyanto SriyantoAffiliation unknown3
Rahma HayatiAffiliation unknown3
Heri TjahjonoAffiliation unknown3
Ariyani IndrayatiAffiliation unknown3
Tjaturahono Budi SanjotoAffiliation unknown3
Tukidi TukidiAffiliation unknown2
Suroso SurosoAffiliation unknown2
Yassirli AmriAffiliation unknown2
Fahrudin HanafiAffiliation unknown2
Muh. SholehAffiliation unknown2
Satyanta ParmanAffiliation unknown2
Viera WardhaniUniversity of Brawijaya1
Siswanto SiswantoSebelas Maret University1
Deby Luriawati NaryatmojoAffiliation unknown1
Andri Sumihar SimbolonAffiliation unknown1
Nana Kariada Tri MartutiState University of Semarang1
Lutfian NazarAffiliation unknown1
Lina HerlinaAffiliation unknown1
Mochamad Zanuar Imam FaizinAffiliation unknown1
Nur FauziyahAffiliation unknown1
Bayu ArdhiansyahAffiliation unknown1
Andina Ahya PrameswariAffiliation unknown1
Bella Zulfia Aisyatul WahidahAffiliation unknown1
Lucky Hikmatun Nazal FurqonAffiliation unknown1
Indah Nur SyafiraAffiliation unknown1
Heri TjahonoAffiliation unknown1
Muhamad FadliAffiliation unknown1
Dwi JatmikoAffiliation 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">EVALUASI SEBARAN LOKASI DAN TINGKAT KEPUASAN KONSUMEN STASIUN PENGISIAN BAHAN BAKAR UMUM BERBASIS APLIKASI SISTEM INFORMASI GEOGRAFIS DI KABUPATEN DEMAK</dc:title>
	<dc:creator>Astutik, Erna Puji</dc:creator>
	<dc:creator>Aji, Ananto</dc:creator>
	<dc:creator>Putro, Saptono</dc:creator>
	<dc:description xml:lang="en-US">Business development of Gas Station increases every year. This is in line with the level of consumption of oil so that it affects what is required by consumers. Therefore, it takes a thought to overcome it. The population is SPBU in Demak Regency as many as 20 pieces and all gas stations used as sample. Samples for customer satisfaction use incidental sampling technique. The research variables are (1) Variable distribution of gas stations location: number, distance, and location of gas station, number and type of motor vehicle, traffic density; (2) Variable levels of customer satisfaction: tangible, empathy, reliability, assurance, and responsiveness. The research analyzes used Geographic Information System analysis, nearest neighbor analysis, and quantitative descriptive. The results showed that the distribution pattern of gas stations has a uniformly distributed pattern; The location suitability class of 20 gas stations is included in the appropriate criteria (S2) with the calculation of 70%; And customer satisfaction to the service provided from the SPBU of 4,991 which, when included in the assumption of research calculation included in the Good category. With the results of these shows that the distribution of location and level of consumer satisfaction SPBU in Demak Regency region including good criteria.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2017-11-08</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/19023</dc:identifier>
	<dc:identifier>10.15294/geoimage.v6i2.19023</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 6 No 2 (2017): Geo - Image; 98 - 107</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/19023/9003</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>