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
- 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-author | Organisation | Joint articles |
|---|---|---|
| Sriyono Sriyono | Affiliation unknown | 10 |
| Puji Hardati | Affiliation unknown | 8 |
| Andi Irwan Benardi | Affiliation unknown | 8 |
| Hariyanto Hariyanto | Affiliation unknown | 7 |
| Juhadi Juhadi | Affiliation unknown | 4 |
| Apik Budi Santoso | Affiliation unknown | 4 |
| Wahyu Setyaningsih | Affiliation unknown | 4 |
| Sriyanto | Affiliation unknown | 3 |
| Muhammad Dwi Utomo Aji | Affiliation unknown | 3 |
| Sriyanto Sriyanto | Affiliation unknown | 3 |
| Rahma Hayati | Affiliation unknown | 3 |
| Heri Tjahjono | Affiliation unknown | 3 |
| Ariyani Indrayati | Affiliation unknown | 3 |
| Tjaturahono Budi Sanjoto | Affiliation unknown | 3 |
| Tukidi Tukidi | Affiliation unknown | 2 |
| Suroso Suroso | Affiliation unknown | 2 |
| Yassirli Amri | Affiliation unknown | 2 |
| Fahrudin Hanafi | Affiliation unknown | 2 |
| Muh. Sholeh | Affiliation unknown | 2 |
| Satyanta Parman | Affiliation unknown | 2 |
| Viera Wardhani | University of Brawijaya | 1 |
| Siswanto Siswanto | Sebelas Maret University | 1 |
| Deby Luriawati Naryatmojo | Affiliation unknown | 1 |
| Andri Sumihar Simbolon | Affiliation unknown | 1 |
| Nana Kariada Tri Martuti | State University of Semarang | 1 |
| Lutfian Nazar | Affiliation unknown | 1 |
| Lina Herlina | Affiliation unknown | 1 |
| Mochamad Zanuar Imam Faizin | Affiliation unknown | 1 |
| Nur Fauziyah | Affiliation unknown | 1 |
| Bayu Ardhiansyah | Affiliation unknown | 1 |
| Andina Ahya Prameswari | Affiliation unknown | 1 |
| Bella Zulfia Aisyatul Wahidah | Affiliation unknown | 1 |
| Lucky Hikmatun Nazal Furqon | Affiliation unknown | 1 |
| Indah Nur Syafira | Affiliation unknown | 1 |
| Heri Tjahono | Affiliation unknown | 1 |
| Muhamad Fadli | Affiliation unknown | 1 |
| Dwi Jatmiko | Affiliation unknown | 1 |
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.