Evaluating Double Resampling through Simulation and Application in Semiparametric Truncated Spline for Waste Economic Value
DOI:
https://doi.org/10.30829/zero.v9i3.26773Keywords:
Bootstrap, Double Resampling, Jackknife, Semiparametric Path Analysis, Waste Economic Value.Abstract
This study developed a double resampling procedure as a method for estimating standard error in truncated spline semiparametric path modeling, given that standard error cannot be obtained analytically. Primary data were collected from 100 respondents through a Likert scale questionnaire and analyzed using a path structure involving Facility and Infrastructure Quality and Waste Bank Participation have a significantly positive effect on 3R-Based Waste Management Practices and the Waste Economic Value . The modeling process involved selecting knots, estimating spline functions, and evaluating double resampling performance through simulation studies. The results showed that and had a significant positive effect on and , while the relationship between and was negative before and after the 21% threshold. The simulation study shows that the Jackknife-Bootstrap method produces lower standard errors and bias, while the Bootstrap-Jackknife method is more stable at very small sample size. These findings confirm the effectiveness of double resampling.References
A. A. R. Fernandes and Solimun, Metode Analisis Data Penelitian: Pendekatan Regresi. Universitas Brawijaya Press, 2021.
A. A. R. Fernandes, I. N. Budiantara, B. W. Otok, and Suhartono, "Spline Estimator for Bi-Responses and Multi-Predictors Nonparametric Regression Model in Case of Longitudinal Data," J Math Stat, vol. 11, no. 2, pp. 61-69, 2015.
B. Zrimšek and E. Štrumbelj, "Quantifying Uncertainty: All We Need is the Bootstrap?," arXiv preprint arXiv:2403.20182, 2024.
M. K. Trésor, "Threshold Effect of Public Investment on Economic Growth in the Democratic Republic of Congo: Regime Change Approach," International Journal of Social Science and Human Research, vol. 8, no. 4, pp. 2543-2550, 2025.
B. Chen, B. Wang, Z. Xiao, and Y. Yi, "Improved Estimation of Semiparametric Dynamic Copula Models with Filtered Nonstationarity," J Econom, 2024.
Y. Xie, Z. Chen, and R. Li, "Resampling-based Inference for Flexible Semiparametric Models," Comput Stat Data Anal, vol. 181, p. 107673, 2023.
N. I. A. Razak, Z. H. Zamzuri, and N. R. M. Suradi, "Bootstrapping Technique in Structural Equation Modeling: A Monte Carlo Study," in Journal of Physics: Conference Series, IOP Publishing, 2018, p. 12072.
A. Larasati, "Analysis of Quadratic Pathway with Resampling Bootstrap on Simulation Data," International Journal of Advanced Science and Technology, vol. 29, no. 6, pp. 8582-8588, 2020.
A. A. R. Fernandes, "Estimator Spline Dalam Regresi Nonparametrik Birespon Untuk Data Longitudinal," Institut Teknologi Sepuluh Nopember, 2016.
D. Ruppert, M. P. Wand, and R. J. Carroll, Semiparametric Regression. Cambridge University Press, 2003.
S. N. Wood, Generalized Additive Models: An Introduction with R, 2nd ed. Chapman & Hall/CRC, 2022.
Q. Li and J. S. Racine, Nonparametric Econometrics: Theory and Practice. Princeton University Press, 2007.
S. N. Lahiri, Resampling Methods for Dependent Data. Springer, 2003.
P. Hall and M. A. Martin, "On Bootstrap Resampling and Iteration," Biometrika, vol. 75, no. 4, pp. 661-671, 1988.
B. F. J. Manly, Randomization, Bootstrap and Monte Carlo Methods in Biology, 3rd ed. CRC Press, 2006.
R. Bellio, I. Kosmidis, A. Salvan, and N. Sartori, "Parametric Bootstrap Inference for Stratified Models with High-Dimensional Nuisance Specifications," Stat Sin, vol. 33, no. 2, pp. 1069-1091, 2023.
J. F. Hair, R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis, 7th ed. Prentice Hall, 2013.
R. Caro-Carretero, A. Carnicero, J. R. Jiménez-Octavio, and D. Cousineau, "Utilizing Jackknife and Bootstrap to Understand Tensile Stress to Failure of an Epoxy Resin," Qual Eng, vol. 36, no. 4, pp. 726-740, 2023, doi: 10.1080/08982112.2023.2286500.
A. Kumar and G. Tiwari, "Jackknife Based Generalized Resampling Reliability Approach for Rock Slopes and Tunnels Stability Analyses with Limited Data," Journal of Rock Mechanics and Geotechnical Engineering, vol. 14, no. 3, pp. 714-730, 2022.
L. Sroka, "Comparison of Jackknife and Bootstrap Methods in Estimating Confidence Intervals," Scientific Papers of Silesian University of Technology, vol. 153, pp. 445-455, 2021.
L. Cruz, J. Blanco, and R. Giraldo, "Bootstrap versus Jackknife: Confidence Intervals, Hypothesis Testing, Density Estimation, and Kernel Regression," Ciencia en Desarrollo, vol. 15, no. 2, pp. 143-152, 2024.
C. Da Costa and R. B. Suharto, "Environmental Waste Management System in Effort Creates Sustainable Semarang," Jurnal Daulat Hukum, vol. 1, no. 3, p. 849, 2018.
A. Yulda, T. Nurcihikita, and Y. Efriyandi, "Analysis of Circular Economy Potential in Waste Management: Operational Efficiency and Economic Impact at TPS3R Bungo Lintas," Journal of Sustainability, vol. 5, pp. 3993-4010, 2024.
W. S. Royhan, R. Damayanti, and E. P. Hadisantoso, "Measurement of Performance of Community-Based Waste Treatment Facility (TPS 3R Saling Asih) Bandung City," Journal of Regional and Rural Studies, vol. 1, no. 2, pp. 88-96, 2023, doi: 10.21776/rrs.v1i2.20.
A. Budiyarto, B. Clarke, and K. Ross, "Overview of Waste Bank Application in Indonesian Regencies," Waste Management & Research, vol. 43, no. 3, pp. 306-321, 2024, doi: 10.1177/0734242X241242697.
D. Atmanti and W. Rejekiningsih, "Making Value of Household Waste through Waste Bank," International Journal of Social Science, Education, Communication and Economics, vol. 3, no. 4, pp. 1301-1314, 2024.
A. D. Anjani, B. Budiaman, and A. N. Hidayaht, "Environmental Care Behavior through Waste Bank," Advances in Social Humanities Research, vol. 2, no. 5, pp. 721-730, 2024.
S. Mngomezulu, S. Mbanga, and A. Adeniran, "The Factors Influencing Waste Management for Economic Development," Frontiers in Sustainability, vol. 5, p. 1469207, 2024.
Y. Muliana, A. Muslikhah, R. Fajar, A. Trisnawan, and R. L. Khairina, "Integration of Circular Economy and Sustainable Waste Management," INFLUENCE: International Journal of Science Review, vol. 7, no. 3, pp. 13-23, 2025.
R. R. Ariescy, D. D. Sholihah, and D. N. Arumsari, "Peningkatan Partisipasi Masyarakat dalam Pengelolaan Bank Sampah untuk Mewujudkan Ekonomi Berkelanjutan," Al-Khidmah Jurnal Pengabdian Masyarakat, vol. 5, no. 1, pp. 287-298, 2025.
H. Purwanto, R. Nurhasana, and A. Rohimah, "Assessing the Feasibility of Small-Scale RDF Technology in Urban Solid Waste Management Using Cost-Benefit Analysis," Advance Sustainable Science Engineering and Technology, vol. 7, no. 3, p. 2503016, 2025.
T. L. Mahartin, "Waste Management Plan with Reduce, Reuse, Recycle (3R) Method," Journal of Sustainability, Society, and Eco-Welfare, vol. 1, no. 1, 2023.
A. A. Zorpas, "The Hidden Concept and the Beauty of Multiple ‘R' in Waste Strategy Development," Science of the Total Environment, vol. 952, p. 175508, 2024.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-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.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
