Study of Financing Effect Caused by Social Issues on Infrastructure Development Activities in North Lombok Regency using Simple Additive Weighting (SAW) Method

Bambang Gunawan, Buan Anshari, Hariyadi Hariyadi

Abstract


During its implementation, development projects sometimes encounter obstacles, and these occur in various regions. Frequently encountered problems include delays in implementation, poor quality, and insufficient quantity of work. These three issues can be classified as technical. Beyond technical issues, project problems can also be examined from a non-technical perspective. One form of this type is social issues. This study determined the impact of non-technical issues on the quality, quantity, and time of project implementation. Moreover, the study determined both the maximum funding percentage for non-technical issues and the approaches for managing them. To obtain the research results, interviews were conducted using questionnaires. The first questionnaire was used to capture criteria related to non-technical issues. The second questionnaire was used to determine the weight of each criterion. The data obtained was processed using the Simple Additive Weighting (SAW) method. Based on the results of the first stage of questionnaire data processing, the following criteria were obtained that influenced non-technical problems in construction activities in the field: Work environment safety, Reduction in work quality, Ease of material procurement, Reduction in work quantity, Ease of labor procurement, and Delayed work time. Furthermore, the maximum percentage value of financing for non-technical problems was 0.77% of the total work value. To manage non-technical problems, one can refer to the criteria identified in the first stage of the questionnaire, which include involving local individuals as workers, purchasing building materials from nearby sources, and engaging community members to ensure the safety of the work implementation.

Full Text:

PDF

References


H. Taherdoost, “Analysis of Simple Additive Weighting Method (SAW) as a MultiAttribute Decision-Making Technique: A Step-by-Step Guide,” Journal of Management Science & Engineering Research, vol. 6, no. 1, pp. 21–24, Feb. 2023, doi: 10.30564/jmser.v6i1.5400.

X. S. Qin, G. H. Huang, A. Chakma, X. H. Nie, and Q. G. Lin, “A MCDM-based expert system for climate-change impact assessment and adaptation planning – A case study for the Georgia Basin, Canada,” Expert Syst. Appl., vol. 34, no. 3, pp. 2164–2179, Apr. 2008, doi: 10.1016/j.eswa.2007.02.024.

K. Sari and M. Suslu, “A modeling approach for evaluating green performance of a hotel supply chain,” Technol. Forecast. Soc. Change, vol. 137, pp. 53–60, Dec. 2018.

S. Kusumadewi, S. Hartati, A. Harjoko, and R. Wardoyo, Fuzzy Multi-Attribute Decision Making (FUZZY MADM). Yogyakarta: Graha Ilmu, 2006.

M. Wijayaningtyas, R. P. Hutama, L. A. R. Winanda, and J. G. S. Meliala, “The Success Factors of Green Construction Management Implementation on Building Projects,” IOP Conf. Ser. Earth Environ. Sci., vol. 1165, no. 1, p. 012003, Apr. 2023, doi: 10.1088/1755-1315/1165/1/012003.

E. Ermin, S. Sunardi, and A. Fadil, “Simple Additive Weighting Method in Employee Acceptance Determination,” Format : Journal of Information Technology, vol. 8, no. 2, p. 125, Feb. 2020, doi: 10.22441/format.2019.v8.i2.005.

L. Frenando, N. Handayani, E. Niastuti, and S. Rosyida, “Implementation of Simple Additive Weighting Method To Analyze The Selection of The Laptop,” Paradigma - Jurnal Komputer dan Informatika, vol. 25, no. 1, Mar. 2023, doi: 10.31294/p.v25i1.1577.

L. A. R. Winanda, Y. A. Pangestu, M. Wijayaningtyas, E. Yuwono, and M. Erfan, “Waste Analysis to Support the Implementation of Lean Construction on Building Project,” E3S Web of Conferences, vol. 476, Jan. 2024, doi: 10.1051/e3sconf/202447601025.


Refbacks

  • There are currently no refbacks.