Analysis of Location Determination for Temporary Waste Collection Points Using p-dispersion Method: An Application to Yogyakarta City, Indonesia

Donny Dwi Julianto; Annie Purwani; Siham Bouguern

doi:10.56741/jnest.v2i02.369

Analysis of Location Determination for Temporary Waste Collection Points Using p-dispersion Method: An Application to Yogyakarta City, Indonesia

Authors

Donny Dwi Julianto Universitas Ahmad Dahlan
Annie Purwani Universitas Ahmad Dahlan
Siham Bouguern Jawsak Group

DOI:

https://doi.org/10.56741/jnest.v2i02.369

Keywords:

Location Determination, Industrial Engineering, Waste Collection Points, P-Dispersion Method

Abstract

The city of Yogyakarta, particularly the Maliobro-Kranggan sector, with a total population of 117,656, has the potential to generate 221 m³/day of waste, while the total capacity of the existing temporary waste collection points or Temporary Disposal Sites (TPS) is 17 units with a capacity of 306 m³. The Yogyakarta Environmental Agency must reconsider the number of TPS facilities and their capacities to meet the community's needs. In certain areas, there are nearby TPS locations, causing some of them not to function optimally as the community chooses the ones that are easily accessible. On the other hand, the proximity of TPS facilities also disturbs the comfort of the community due to worsening odor pollution. In response to this issue, this research aims to determine the optimal number of TPS facilities and their ideal locations using the p-dispersion method. This method is used to determine facility locations by maximizing the minimal distance between each available facility. This research also adds a criterion by considering the travel distance from waste sources to the selected facilities. The study is conducted using Lingo 11.0 software. Based on the data processing results, 13 of 17 TPS facilities were established. The total capacity is 254 m³/day, which can serve as the waste source for 13 community locations. The objective value obtained is 5900, which indicates that the minimum separation distance for the ideal facilities is 5900 meters.

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Author Biographies

Donny Dwi Julianto, Universitas Ahmad Dahlan

recently completed his Bachelor's degree in Industrial Engineering at Ahmad Dahlan University in Yogyakarta. He is also an alumnus of SMK Negeri 1 Balikpapan, where he studied Automotive Engineering. Donny was born and raised in Balikpapan, East Kalimantan, on July 3, 2000. Throughout his academic journey, Donny has developed a strong foundation in engineering principles and gained practical skills in the field of industrial engineering. With his passion for problem-solving and optimizing processes, he aspires to contribute to the advancement of industries and make a positive impact in his professional career. (email: donny1800019176@webmail.uad.ac.id).

Annie Purwani, Universitas Ahmad Dahlan

is with Industrial Engineering Study Program, Universitas Ahmad Dahlan, Indonesia. She holds a Bachelor's degree in Agricultural Industrial Technology from Universitas Gadjah Mada (UGM). She further pursued her Master's degree in Industrial Engineering at the Institut Teknologi Sepuluh Nopember (ITS). Currently, she is pursuing her PhD at Universitas Sebelas Maret. Her research interests revolve around logistics, logistic assessment, and optimization. Her expertise lies in finding efficient solutions to logistical challenges and optimizing processes to enhance productivity. (email: annie.purwani@ie.uad.ac.id).

Siham Bouguern, Jawsak Group

is an accomplished professional in the field of industrial engineering. She holds a Bachelor's degree in Industrial Engineering (UABT). She further pursued her Master's degree in Production Engineering at the University of Abou Bekr Belkaid in Tlemcen (UABT). Currently, the founder and manager of Jawsak Group. Her research interests revolve around digital manufacturing, SCM, and industrial software development. Her areas of expertise include data analytics, process engineering, project management, maintenance, and design for manufacturing. She aspires to contribute to the manufacturing processes to drive profitable and sustainable internal operations within different industries. (Email: siham.bouguern@jawsak.com).

References

Pham, N. M., Huynh, T. L. D., & Nasir, M. A. (2020). Environmental consequences of population, affluence and technological progress for European countries: A Malthusian view. Journal of environmental management, 260, 110143.

SIPSN - Sistem Informasi Pengelolaan Sampah Nasional. (n.d.). https://sipsn.menlhk.go.id/sipsn/

Meza, J. K. S., Yepes, D. O., Rodrigo-Ilarri, J., & Cassiraga, E. (2019). Predictive analysis of urban waste generation for the city of Bogotá, Colombia, through the implementation of decision trees-based machine learning, support vector machines and artificial neural networks. Heliyon, 5(11), e02810.

Lebreton, L., & Andrady, A. (2019). Future scenarios of global plastic waste generation and disposal. Palgrave Communications, 5(1), 1-11.

Brylian, B., & Eko Setiawan, S. T. (2018). Analisis penentuan lokasi tempat pembuangan sementara (TPS) sampah di Kabupaten Klaten dengan Metode P-Dispersion (Doctoral dissertation, Universitas Muhammadiyah Surakarta).

Setiawan, E., Djunaidi, M., Munawir, H., Putra, A. N. H., Paramitha, P., Maharani, E. A., & Brylian, B. (2019). An Equity-based Positioning of Solid Waste Collection Sites for an Equitable Waste-induced Disaster Risk. Proceedings of the International Conference on Industrial Engineering and Operations Management Bangkok, Thailand, pp. 2676-2686.

Utami, T. Y. P., & Purwani, A. (2018). Penentuan Titik Lokasi TPS Baru Sektor Malioboro–Kranggan Yogyakarta. Proceeding of 6th Seminar Nasional Teknologi Terapan, pp. 63-69.

Dewi, A. K., Anisaa, C., Linarti, U., & Kusrini, E. (2022, December). Pengembangan Model Open/Closed Fasilitas Tempat Pembuangan Sampah Mempertimbangkan Design dengan Pendekatan Set Covering Problem. In Prosiding Seminar Nasional Hasil Pengabdian Kepada Masyarakat Universitas Ahmad Dahlan (Vol. 4, No. 1, pp. 1843-1849).

Fathonah, C. A., & Linarti, U. (2019). Penentuan Open/Closed Fasilitas Tempat Pembuangan Sampah dengan Mempertimbangkan Design Fasilitas dan Sarana Pendidikan Formal. Limits: Journal of Mathematics and Its Applications, 16(1), 27-38.

Bautista, J., & Pereira, J. (2006). Modeling the problem of locating collection areas for urban waste management. An application to the metropolitan area of Barcelona. Omega, 34(6), 617-629.

Maliszewski, P. J., Kuby, M. J., & Horner, M. W. (2012). A comparison of multi-objective spatial dispersion models for managing critical assets in urban areas. Computers, Environment and Urban Systems, 36(4), 331-341.

Cherkesly, M., & Contardo, C. (2021). The conditional p-dispersion problem. Journal of Global Optimization, 81, 23-83.

Octarina, S., Puspita, F. M., & Supadi, S. S. (2022). Models and Heuristic Algorithms for Solving Discrete Location Problems of Temporary Disposal Places in Palembang City. IAENG International Journal of Applied Mathematics, 52(2), 1-11.

Celik Turkoglu, D., & Erol Genevois, M. (2020). A comparative survey of service facility location problems. Annals of Operations Research, 292, 399-468.

Rabbani, M., Hosseini-Mokhallesun, S. A. A., Ordibazar, A. H., & Farrokhi-Asl, H. (2020). A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design. International Journal of Systems Science: Operations & Logistics, 7(1), 60-75.

Sundarakani, B., Pereira, V., & Ishizaka, A. (2021). Robust facility location decisions for resilient sustainable supply chain performance in the face of disruptions. The International Journal of Logistics Management, 32(2), 357-385.

European Commission. (2018). Guidance on Municipal Waste Management Strategies: Planning and Designing Integrated Systems. Retrieved from https://ec.europa.eu/environment/waste/studies/pdf/guidance.pdf

UNEP. (2015). Waste Management Outlook for Mountain Regions: Sources and Solutions. United Nations Environment Programme. Retrieved from https://www.unep.org/resources/report/waste-management-outlook-mountain-regions-sources-and-solutions

U.S. Environmental Protection Agency. (2021). Sustainable Materials Management: Facts and Figures. Retrieved from https://www.epa.gov/smm/sustainable-materials-management-facts-and-figures

Chang, Y., Shi, Y., & Zhang, G. (2020). Comprehensive Evaluation Model of Urban Solid Waste Management in China Based on AHP-Grey Relation Analysis. Journal of Cleaner Production, 245, 118879.