skip to main content

SERVICE RANGE OF EXISTING TEMPORARY WASTE COLLECTION SITES (TPS) IN MOJOKERTO REGENCY

*Mohammad Alvi Aldi Bani  -  Departement Urban and Regional Planning, Faculty of Civil Planning and Geo Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Fendy Firmansyah  -  Departement Urban and Regional Planning, Faculty of Civil Planning and Geo Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Open Access Copyright (c) 2025 Mohammad Alvi Aldi Bani, Fendy Firmansyah

Citation Format:
Abstract

Waste management in Mojokerto Regency still faces spatial service gaps because existing temporary waste collection sites (TPS) do not reach all built-up areas. This study identifies areas that remain outside the service range of existing TPS and proposes priority locations for new facilities. Using a quantitative spatial analysis, waste generation was distributed with binary dasymetric mapping and the service range of existing TPS was analysed with the Huff Gravity Model in a GIS environment. Existing TPS serve 5,303.44 ha of built-up area (5.45% of the regency), whereas 19,209.28 ha (19.73%) remain unserved. Areas with a service probability below 37% are classified as unserved and grouped into four development priorities: 0–10% (Priority 1), 10–20% (Priority 2), 20–30% (Priority 3), and 30–37% (Priority 4). Areas with a probability above 37% are considered adequately served. These findings provide a spatial basis for planning new TPS locations and improving service equity.

Keywords: Temporary Waste Collection Site; Service Range; Huff Gravity Model; Dasymetric Mapping; GIS

Article Metrics:

Article Info
Section: ARTICLES
Language : EN
  1. Al-Refaie, A., Al-Hawadi, A., & Fraij, S. (2021). Optimization models for clustering of solid waste collection process. Engineering Optimization, 53(12), 2056-2069. doi: 10.1080/0305215X.2020.1843165
  2. Arisal, Z. (Producer). (2023). Permasalahan sampah di Kabupaten Mojokerto, kesadaran warga masih rendah. Retrieved from https://majamojokerto.net/2023/01/09/permasalahan-sampah-di-kabupaten-mojokerto-kesadaran-warga-masih-rendah/
  3. Bahari, P. R., Antomi, Y., Dewata, I., & Syah, N. (2025). Planning a waste management system by utilizing geographic information systems. Jurnal Penelitian Pendidikan IPA, 11(8), 867-878. doi: https://doi.org/10.29303/jppipa.v11i8.12171
  4. Beigl, P., Lebersorger, S., & Salhofer, S. (2008). Modelling municipal solid waste generation: A review. Waste Management, 28(1), 200-214. doi: https://doi.org/10.1016/j.wasman.2006.12.011
  5. Blazquez, C., & Paredes-Belmar, G. (2020). Network design of a household waste collection system: A case study of the commune of Renca in Santiago, Chile. Waste Management, 116, 179-189. doi: https://doi.org/10.1016/j.wasman.2020.07.027
  6. Budiyarto, A., Clarke, B., & Ross, K. (2025). Overview of waste bank application in Indonesian regencies. Waste Management & Research, 43(3), 306-321. doi: 10.1177/0734242X241242697
  7. Chen, X., Chen, G., Yang, Q., Li, J., Yuan, Z., & Jiang, S. (2021). A Periodic Assessment System for Urban Safety and Security Considering Multiple Hazards Based on WebGIS. Sustainability, 13(24), 13993. Retrieved from doi: 10.3390/su132413993
  8. Cheng, X., Yang, J., Han, Z., Shi, G., Pan, D., Meng, L., . . . Shen, Z. (2024). Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing. International Journal of Applied Earth Observation and Geoinformation, 135, 104219. doi: https://doi.org/10.1016/j.jag.2024.104219
  9. Damanhuri, E., Handoko, W., & Padmi, T. (2014). Municipal Solid Waste Management in Indonesia. In A. Pariatamby & M. Tanaka (Eds.), Municipal Solid Waste Management in Asia and the Pacific Islands: Challenges and Strategic Solutions (pp. 139-155). Singapore: Springer Singapore
  10. Eicher, C. L., & Brewer, C. A. (2001). Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation. Cartography and Geographic Information Science, 28(2), 125-138. doi: 10.1559/152304001782173727
  11. Ferronato, N., & Torretta, V. (2019). Waste mismanagement in developing countries: A review of global issues. International Journal of Environmental Research and Public Health, 16(6), 1060. doi: https://doi.org/10.3390/ijerph16061060
  12. Ghiani, G., Laganà, D., Manni, E., & Triki, C. (2012). Capacitated location of collection sites in an urban waste management system. Waste Management, 32(7), 1291-1296. doi: https://doi.org/10.1016/j.wasman.2012.02.009
  13. Guerrero, L. A., Maas, G., & Hogland, W. (2013). Solid waste management challenges for cities in developing countries. Waste Management, 33(1), 220-232. doi: https://doi.org/10.1016/j.wasman.2012.09.008
  14. Hong, I., & Murray, A. T. (2020). Obstacle-limited service coverage: A new geospatial approach. Transactions in GIS, 24(1), 213-229. doi: https://doi.org/10.1111/tgis.12593
  15. Huff, D. L. (1964). Defining and Estimating a Trading Area. Journal of marketing, 28(3), 34-38. doi: 10.1177/002224296402800307
  16. Kaza, S., Yao, L., Bhada-Tata, P., & Van Woerden, F. (2018). What a waste 2.0: a global snapshot of solid waste management to 2050: World Bank Publications
  17. Kementerian Lingkungan Hidup dan Kehutanan Republik Indonesia. (2024). Sistem Informasi Pengelolaan Sampah Nasional (SIPSN): Capaian kinerja pengelolaan sampah tahun 2024. https://sipsn.menlhk.go.id/sipsn/
  18. Kwikima, M. M., & Ngole, F. (2025). GIS-based optimization of solid waste collection points and routes: A case study of Majengo Ward, Sumbawanga Municipality, Tanzania. Cleaner Waste Systems, 12, 100372. doi: https://doi.org/10.1016/j.clwas.2025.100372
  19. Leyk, S., Gaughan, A. E., Adamo, S. B., De Sherbinin, A., Balk, D., Freire, S., . . . Frye, C. (2019). The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use. Earth System Science Data, 11(3), 1385-1409. doi: https://doi.org/10.5194/essd-11-1385-2019
  20. Malczewski, J. (2006). GIS‐based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703-726. doi: 10.1080/13658810600661508
  21. Mennis, J. (2009). Dasymetric Mapping for Estimating Population in Small Areas. Geography Compass, 3(2), 727-745. doi: https://doi.org/10.1111/j.1749-8198.2009.00220.x
  22. Mennis, J., & Hultgren, T. (2006). Intelligent Dasymetric Mapping and Its Application to Areal Interpolation. Cartography and Geographic Information Science, 33(3), 179-194. doi: 10.1559/152304006779077309
  23. Nagle, N. N., Buttenfield, B. P., Leyk, S., & Spielman, S. (2014). Dasymetric Modeling and Uncertainty. Annals of the Association of American Geographers, 104(1), 80-95. doi: 10.1080/00045608.2013.843439
  24. Norhadini, K. (2022). Pembuangan sampah liar terus bertambah, warga Mojokerto evakuasi sampah. from Jatimnet.com https://jatimnet.com/pembuangan-sampah-liar-terus-bertambah-warga-mojokerto-evakuasi-sampah
  25. Parsons, T., Seo, J., & Livesey, D. (2023). Waste Collection Area Generation Using a 2 Stage Cluster Optimization Process and GIS Data. IEEE Access, 11, 11849-11859. doi: 10.1109/ACCESS.2023.3241626
  26. Ramadan, B. S., Ardiansyah, S. Y., Sendari, S., Wibowo, Y. G., Rachman, I., & Matsumoto, T. (2024). Optimization of municipal solid waste collection sites by an integrated spatial analysis approach in Semarang City. Journal of Material Cycles and Waste Management, 26(2), 1231-1242. doi: 10.1007/s10163-023-01876-5
  27. Sharholy, M., Ahmad, K., Mahmood, G., & Trivedi, R. C. (2008). Municipal solid waste management in Indian cities – A review. Waste Management, 28(2), 459-467. doi: https://doi.org/10.1016/j.wasman.2007.02.008
  28. Su, M.-D., Lin, M.-C., Hsieh, H.-I., Tsai, B.-W., & Lin, C.-H. (2010). Multi-layer multi-class dasymetric mapping to estimate population distribution. Science of the Total Environment, 408(20), 4807-4816. doi: https://doi.org/10.1016/j.scitotenv.2010.06.032
  29. United Nations Environment Programme. (2015). Global waste management outlook. https://www.unep.org/ietc/index.php/resources/publication/global-waste-management-outlook-2015
  30. United Nations Environment Programme, & International Solid Waste Association. (2024). Global waste management outlook 2024: Beyond an age of waste—Turning rubbish into a resource. from United Nations Environment Programme https://doi.org/10.59117/20.500.11822/44939

Last update:

No citation recorded.

Last update:

No citation recorded.