The Estimation of Waste Generation in Palangka Raya City, Central Kalimantan

Open Access
Article Info
Submitted: 2020-06-04
Published: 2020-06-05
Section: Peri-Urban Development
Language: EN
The urban development’s planning and the rapid population growth require optimal waste service. This study aims to project waste generation in Palangka Raya city for the next 20 years in order to plan sustainable waste management. Estimation of waste generation is made with multiple linear regression models using waste generation, population and real GDRP data in 2014-2018. Based on the analysis result, the waste generation model has an index of determination (R2) of 0.988, which means that the number of inhabitants and the real GDRP influence waste generation up to 98.8%, while the value obtained by F test is 84.96 with Sig. 0.012 which means the regression model is suitable. Based on the estimated model, the handled waste in the Palangka Raya city in 2038 would be 232,379.66 m3/year. The increase in waste generation requires the addition of 31 TPS containers and 13 units of arm roll trucks in 2038 and it also needs performance improvement of garbage transport rites. Furthermore, the local government needs to optimize the performance of 4 units of TPS 3R and 43 waste bank organizations so that organic waste is processed into fertilizer and used for agricultural land around the city. The use of organic waste will provide economic and ecological benefits and reduce the volume of waste transported to landfill.

Keywords

Palangka Raya; sustainable waste management; waste generation

References

  1. Asteria, D., & Heruman, H. (2016). bank sampah sebagai alternatif strategi pengelolaan sampah berbasis masyarakat di Tasikmalaya. Jurnal Manusia dan Lingkungan, 23(1), 136–141.
  2. Bandara, N. J. G. J., Hettiaratchi, J. P. A., Wirasinghe, S. C., & Pilapiiya, S. (2007). Relation of waste generation and composition to socio-economic factors: A case study. Environmental Monitoring and Assessment, 135(1–3), 31–39. doi:10.1007/s10661-007-9705-3.
  3. BPS. (2013). Proyeksi penduduk Indonesia. Badan Pusat Statistik.
  4. BPS. (2018a). Produk domestik regional bruto Kota Palangka Raya Menurut lapangan usaha. Badan Pusat Statistik Kota Palangka Raya.
  5. BPS. (2018b). Statistik daerah Kota Palangka Raya 2018. Badan Pusat Statistik Kota Palangka Raya.
  6. Ghinea, C., Drăgoi, E. N., Comăniţă, E. D., Gavrilescu, M., Câmpean, T., Curteanu, S., & Gavrilescu, M. (2016). Forecasting municipal solid waste generation using prognostic tools and regression analysis. Journal of Environmental Management, 182, 80–93. doi:10.1016/j.jenvman.2016.07.026.
  7. Khajuria, A., Yamamoto, Y., & Morioka, T. (2010). Estimation of municipal solid waste generation and landfill area in Asian developing countries. Journal of Environmental Biology, 31(5), 649–654.
  8. Sunarsih, & Farikhin. (2016). Buku diktat statistik lingkungan. Program Magister Ilmu Lingkungan Universitas Diponegoro.
  9. Suryani, A. S. (2014). Peran bank sampah dalam efektivitas pengelolaan sampah (Studi Kasus Bank Sampah Malang). Aspirasi, 5(1), 71–84.
  10. Tampuyak, S., Anwar, C., & Sangadji, M. N. (2016). Analisis proyeksi pertumbuhan penduduk dan kebutuhan fasilitas persampahan di Kota Palu 2015-2025. Jurnal Katalogis, 4(4), 94–104.
  11. Triani, E. (2017). Optimalisasi kinerja pengelolaan sampah di Kota Palangka Raya. Institut Teknologi Sepuluh Nopember.
  12. Yong-Hwan Lee, Sang-Min Lee, Y.-J. L. and D.-H. C. (2004). Rice cultivation using organic farming system with organic input materials in Korea. 4th International Crop Science Congress.

  1. H Herianto  Master Program in Environmental Science, Universitas Diponegoro, Indonesia
  2. M Maryono  Department of Urban Regional Planning, Universitas Diponegoro, Indonesia
  3. Mochamad Arief Budihardjo  Department of Environmental Engineering, Universitas Diponegoro