Pola Persebaran Spasial Pelanggan dan Intensitas Pemasaran Ulang Garam CV TMSB di Sumatera Barat Spatial Distribution Patterns of Customers and CV TMSB Salt Remarketing Intensity in West Sumatra

Crossmark

Article Sidebar

Page Numbers: 1064-1077
Download PDF
Published: Jul 27, 2026
Digital Object Identifier: 10.58578/aldyas.v5i3.11478
Save this to:
Save to Mendeley Download RIS

Article Metrics:
Viewed: 0 times
Downloaded: 0 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (USD 0.00)
Check for article on SINTA:

LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers

Connected Papers:
Connected Papers


Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.


Authors:
Siti Nurfani1*, Endah Purwaningsih2
Copyright :

Authors retain copyright and grant the journal right of first publication.

Explore Our Journals
Find the journal that best fits your research. If this journal does not match your manuscript’s scope, explore our portfolio below to select a more suitable publication venue.

Main Article Content

Siti Nurfani
Universitas Negeri Padang
Endah Purwaningsih
Universitas Negeri Padang

Abstract

CV Garam Tani Makmur Sejahtera Bersama (TMSB) markets salt products through three sales outlets serving various areas across West Sumatra Province. However, the company lacks spatial information on customer distribution, the reach of resale marketing, and regional market potential as a basis for marketing decision-making. This study aims to analyze the spatial distribution patterns of customers, the reach and intensity of salt resale marketing, and their relationship with regional market potential. The study employed a quantitative descriptive method with a spatial analysis approach. Data were obtained through observation, interviews, documentation, and customer location and resale marketing data and were subsequently analyzed using Average Nearest Neighbor (ANN), Point Distance, Kernel Density Estimation (KDE), and overlay analysis with ArcGIS 10.8. The results showed that 484 customers formed a clustered distribution pattern, with a Nearest Neighbor Ratio of 0.232779, while 51.86% of customers were located within a radius of 0–10 km from the sales outlets. The highest resale marketing intensity was concentrated in Padang City, while Agam Regency and West Pasaman Regency had high market potential but relatively low distribution intensity. These findings indicate that distance and market potential play a role in shaping customer distribution patterns and determining the reach and intensity of CV TMSB’s salt resale marketing in West Sumatra Province. This study provides a practical contribution in the form of spatial information that the company can use to evaluate marketing areas, optimize distribution, and develop market expansion strategies in high-potential areas.

Keywords:
Share Article:

Citation Metrics:

Scopus

Downloads

Download data is not yet available.

Citation Metrics & Similar Scopus Articles

Citation data unavailable from the configured source
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Roszkowska E. (2027)
    Group Assessment of Overall Airline Customer Satisfaction from Online Reviews: A B-TOPSIS Approach
    Lecture Notes in Business Information Processing, 595 LNBIP, 105-120
  2. 26th International Conference on Group Decision and Negotiation, GDN 2026
    Lecture Notes in Business Information Processing, 595 LNBIP
  3. Pal A. (2027)
    Network-Aware Customer Churn Prediction in Banking Using Graph Machine Learning Techniques
    Smart Innovation Systems and Technologies, 505 SIST, 238-249

Article Details

How to Cite
Nurfani, S., & Purwaningsih, E. (2026). Pola Persebaran Spasial Pelanggan dan Intensitas Pemasaran Ulang Garam CV TMSB di Sumatera Barat. Al-DYAS, 5(3), 1064-1077. https://doi.org/10.58578/aldyas.v5i3.11478

Creative Commons License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

References

Annaafi, R. D., Wijaya, A. P., & Wahyuddin, Y. (2022). Analisis Distribusi Spasial Sektor Informal Kuliner Non Platform Super Apps di Ruang Publik (Studi Kasus: Kecamatan Banyumanik, Kota Semarang). Elipsoida: Jurnal Geodesi dan Geomatika, 5(2), 37–43. https://doi.org/10.14710/elipsoida.2022.16464

Azwar, S. (2001). Metode Penelitian. Pustaka Pelajar.

Badan Pengawasan Keuangan dan Pembangunan. (2023). Optimalisasi Industri Garam Terpadu untuk Wujudkan Merdeka Garam 2024.

Bintarto. (1978). Metode Analisa Geografi. LP3ES.

Blazy, R., & Łabuz, R. (2022). Spatial distribution and land development parameters of shopping centers based on GIS analysis: A case study on Kraków, Poland. Sustainability, 14(13), Article 7539. https://doi.org/10.3390/su14137539

Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically weighted regression: The analysis of spatially varying relationships. Wiley. https://www.wiley.com/en-es/Geographically%2BWeighted%2BRegression%3A%2BThe%2BAnalysis%2Bof%2BSpatially%2BVarying%2BRelationships%2B-p-9780471496168

Haggett, P. (1975). Nearest-neighbor analysis. University of Bristol.

Hirsan, F. P., Kurniawan, A., & Yuniarman, A. (2022). Model Konstruksi Ruang Kecamatan Sekarbela Berdasarkan Interaksi Ruang Menggunakan Near Neighbourhood Analysis & Space Syntax. Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi, 6(2), 163–174. https://doi.org/10.29408/geodika.v6i2.6080

Kirabira, J. B., Kasedde, H., & Lwanyaga, J. D. (2017). Optimization of process parameters in the batch crystallization of sodium chloride from brine by the Taguchi method. International Journal of Scientific & Technology Research, 6(8), 160–165.

Liu, P. (2024). Spatial analysis. In B. Warf (Ed.), The encyclopedia of human geography. Springer. https://doi.org/10.1007/978-3-031-25900-5_317-1

Martina, A., & Witono, J. R. (2014). Pemurnian Garam dengan Metode Hidroekstraksi Batch [Research report]. Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Katolik Parahyangan. https://repository.unpar.ac.id/handle/123456789/633

Muta’Ali, L. (2015). Teknik Analisis Regional untuk Perencanaan Wilayah, Tata Ruang dan Lingkungan. Badan Penerbit Fakultas Geografi.

Rafni, H., Despica, R., & Suryani, A. I. (2021). Analisis Spasial Usaha Ikan Asin di Kecamatan Teramang Jaya Kabupaten Mukomuko. Jurnal Pendidikan Geografi Undiksha, 9(3), 238–244. https://ejournal.undiksha.ac.id/index.php/JJPG/article/view/39178

Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(sup1), 234–240. https://doi.org/10.2307/143141

Valgunadi, A. N., Zidanarta, M. B., Rahmalia, A., & Arrasyid, R. (2023). Analisis Hotspot (Getis Ord Gi*) dan Average Nearest Neighbour (ANN) pada Sebaran Pariwisata di Kabupaten Wonosobo. Jurnal Pendidikan Geografi Undiksha, 11(2), 204–214. https://doi.org/10.23887/jjpg.v11i2.58127

Wang, J. (2017). Economic geography: Spatial interaction. In D. Richardson, N. Castree, M. F. Goodchild, A. Kobayashi, W. Liu, & R. A. Marston (Eds.), The international encyclopedia of geography: People, the Earth, environment and technology (pp. 1–4). Wiley. https://doi.org/10.1002/9781118786352.wbieg0641

World Health Organization. (2012). Guideline: Sodium intake for adults and children. https://www.who.int/publications/i/item/9789241504836