Development of A Parametric Cost Estimation Model for Landfill Construction Projects

Authors

  • Nurhayati Junaedi Universitas Tarumanagara
  • Ridho Bayuaji Institut Teknologi Sepuluh Nopember (ITS)
  • Alfred Jonathan Susilo Universitas Tarumanagara

DOI:

https://doi.org/10.26877/asset.v7i4.2424

Keywords:

cost estimation, landfill construction, cost significant model

Abstract

Indonesia’s waste management system is still dominated by the collect–transport–dispose approach, making landfills crucial for environmental sustainability. Landfill construction is a complex process requiring accurate cost estimation to prevent overruns and delays. This study develops a landfill construction cost estimation model using the Cost Significant Model (CSM) approach. Data were obtained from landfill project budgets in Java, Indonesia (2013–2021) and analyzed using multiple linear regression in SPSS. Results show that landfill block, leachate treatment installation, and operational road are the most significant cost components, the estimation model is Y = 3698103502.04 + 1.301X3 + 0.371X4 + 1.236X5. The model falls within the class 4 cost estimation accuracy range according to AACE International standards, making it suitable for feasibility study use. This study introduces a model, context-specific cost estimation model for landfill projects in Indonesia, supporting effective planning and sustainable infrastructure development

Author Biographies

  • Nurhayati Junaedi, Universitas Tarumanagara

    Civil Engineering Doctoral Program, Universitas Tarumanagara, Jakarta Barat 11450, Indonesia

  • Ridho Bayuaji, Institut Teknologi Sepuluh Nopember (ITS)

    Department of Civil Infrastructure Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia

  • Alfred Jonathan Susilo, Universitas Tarumanagara

    Civil Engineering Program, Faculty of Engineering, Universitas Tarumanagara, Jakarta Barat 11450, Indonesia

References

[1] Aulia U, Hadju VA, Masyarakat JK, Olahraga F, Kesehatan D, Kunci K, et al. “Analisis Faktor Yang Berpengaruh Terhadap Angka Timbulan Sampah”. Artikel Penelitian. Jurnal Kolaboratif Sains 2024;7:2239–45. https://doi.org/10.56338/jks.v7i6.5535.

[2] Sukarmawati Y, Hikmah Ayu Murti R, Abdus Salam Jawwad M, Studi Teknologi Rekayasa Konstruksi Bangunan Air P, Negeri Bali P, Kunci K. “Dampak Pembuangan Sampah Terbuka (Open Dumping) terhadap Kualitas Udara di Tempat Pemrosesan Akhir Sampah (TPA)” Gohong. n.d.

[3] Mahyudin RP. “Study Of Waste Problems And Landfill Enviromental Impact”. vol. 3. 2017.

[4] Nguyen DMT, Robinson DT, Zurbrügg C, Nguyen THT, Dang HL, Pham VM. “Strategic landfill site selection for sustainable waste management in Phu Yen Province, Vietnam using geospatial technologies”. Ecol Inform 2025;89. https://doi.org/10.1016/j.ecoinf.2025.103198.

[5] Degefu MA, Asefa W. “Municipal solid waste management practices and sanitary landfill site selection using the AHP approach for emerging industrial zones”. Environmental Systems Research 2024;13. https://doi.org/10.1186/s40068-024-00387-y.

[6] Atmaja J, Roza Syofyan E, Fadillah A. “Perbandingan Cost Significant Model Dengan Metode Parametrik Untuk Estimasi Biaya Gedung Bertingkat 2 di Provinsi Sumatera Barat”. 2018;14.

[7] Amani N, Safarzadeh K. “Project risk management in Iranian small construction firms”. Journal of Engineering and Applied Science 2022;69. https://doi.org/10.1186/s44147-021-00050-8.

[8] Dapu YC, Dundu AKT, Walangitan R. “Faktor-Faktor Yang Menyebabkan Cost Overrun Pada Proyek Konstruksi”. Jurnal Sipil Statik 2016;4:641–7.

[9] Mathew K, Waty DM. “Analisis Cost Overruns Pada Proyek X”. vol. 7. n.d. https://doi.org/10.24912/jmts.v7i3.30774.

[10] Garcés G, Forcael E, Osorio C, Castañeda K, Sánchez O. “Systematic review of Lean Construction: an approach to sustainability and efficiency in construction management”. Journal of Infrastructure Preservation and Resilience 2025;6. https://doi.org/10.1186/s43065-025-00119-1.

[11] Roy D, Tarafdar A. “Solid Waste Management and Landfill in High-Income Countries”, 2022, p. 1–23. https://doi.org/10.1007/978-3-031-07785-2_1.

[12] Kolade O, Owoseni A. Employment 5.0: “The work of the future and the future of work”. Technol Soc 2022;71. https://doi.org/10.1016/j.techsoc.2022.102086.

[13] Elumilade OO, Ogundeji IA, Achumie GO, Omokhoa HE, Omowole BM. “Optimizing corporate tax strategies and transfer pricing policies to improve financial efficiency and compliance”. Journal of Advance Multidisciplinary Research 2022;1:28–38. https://doi.org/10.54660/.jhmr.2022.1.2.28-38.

[14] Higgins JPT, Morgan RL, Rooney AA, Taylor KW, Thayer KA, Silva RA, et al. “A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)”. Environ Int 2024;186. https://doi.org/10.1016/j.envint.2024.108602.

[15] Panchal PB. “Adaptive Scheduling Models For High-Risk Marine Engineering Projects In Climate-Vulnerable Coastal Zones”. International Journal of Creative Research Thoughts (IJCRT) 2024;12. https://doi.org/10.56975/ijcrt.v12i7.282076

[16] Pivato A, Masi S, De Caprio D, Tommasin A. “Sanitary landfill costs from design to aftercare: Criteria for defining unit cost”. Detritus 2018;4:140–56. https://doi.org/10.31025/2611-4135/2018.13748.

[17] Guettala S, Abdesselam I, Rahmani AY, Khelaifia A, Guettala S. “Advancements in Pushover Analysis for Improved Seismic Performance Evaluation”. Archives of Computational Methods in Engineering 2025;32:4525–54. https://doi.org/10.1007/s11831-025-10278-9.

[18] Hussain OAI, Moehler RC, Walsh SDC, Ahiaga-Dagbui DD. “Minimizing Cost Overrun in Rail Projects through 5D-BIM: A Systematic Literature Review”. Infrastructures (Basel) 2023;8. https://doi.org/10.3390/infrastructures8050093.

[19] Asiedu RO, Adaku E, Owusu-Manu DG. “Beyond the causes: Rethinking mitigating measures to avert cost and time overruns in construction projects”. Construction Innovation 2017;17:363–80. https://doi.org/10.1108/CI-01-2016-0003.

[20] Tamošaitienė J, Sarvari H, Chan DWM, Cristofaro M. “Assessing the barriers and risks to private sector participation in infrastructure construction projects in developing countries of Middle East”. Sustainability (Switzerland) 2021;13:1–20. https://doi.org/10.3390/su13010153.

[21] Ali Rezvani Befrouei M. “Identification and Management of Risks in Construction Projects”. American Journal of Civil Engineering 2015;3:170. https://doi.org/10.11648/j.ajce.20150305.15.

[22] Phelia A, Damanhuri DE, Kunci K, Manfaat-Biaya A, Lampung B, Skenario T. Kajian Evaluasi TPA dan Analisis Biaya Manfaat Sistem Pengelolaan Sampah di TPA (Studi Kasus TPA Bakung Kota Bandar Lampung). vol. 25. 2019.

[23] P, nurpa I, Arie Susanto D, Susilo Nugroho N. “ESTIMASI BIAYA MENGUNAKAN METODE COST SIGNIFICANT MODEL”. Jurnal Teknik Sipil Dan Lingkungan Universitas Nusa Putra (J-TESLINK 2020;1.

[24] Khamistan K. “Analisis Estimasi Biaya Dengan Metode Cost Significant Model Sebagai Dasar Perhitungan Konstruksi Jembatan Beton Bertulang Di Kabupaten Aceh Tamiang”. Teras Jurnal : Jurnal Teknik Sipil 2019;8:444–54. https://doi.org/10.29103/tj.v8i2.168.

[25] Rezakhani P. “Project scheduling and performance prediction: a fuzzy-Bayesian network approach”. Engineering, Construction and Architectural Management 2021;29:2233–44. https://doi.org/10.1108/ECAM-07-2020-0540.

[26] AlTalhoni A, Alwashah Z, Liu H, Abudayyeh O, Kwigizile V, Kirkpatrick K. “Data-driven identification of key pricing factors in highway construction cost estimation during economic volatility”. International Journal of Construction Management n.d.:1–16. https://doi.org/10.1080/15623599.2025.2511065.

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Published

2025-10-23

Issue

Vol. 7 No. 4 (2025): August-October

Section

Articles