Classification system model for project sustainability
(1) * S Hendra Mail (Information Technology Department Universitas Tadulako, Indonesia)
(2) H R Ngemba Mail (Information Technology Department Universitas Tadulako, Indonesia)
(3) R Azhar Mail (Information Technology Department Universitas Tadulako, Indonesia)
(4) R Laila Mail (Information Technology Department Universitas Tadulako, Indonesia)
(5) N P Domingo Mail (Asian Language and Cultures Department, University of California, Los Angeles, United States)
(6) R Nur Mail (Public Health Department, Universitas Tadulako, Indonesia)
*corresponding author

Abstract


One of the problems faced by the state-owned electricity company (PT. PLN) in Indonesia is the difficulty of monitoring the progress of an ongoing project so that it requires a technology that can help project managers in monitoring project implementation. The data in this study consisted of 117 Win project data and 89 Lose project data with a total of 206 data. The system development used extreme programming with algorithmic testing, namely the configuration matrix. The result of this research showed that the model could produce an accuracy of 92.68% with an error percentage of 7.32%, which means that the model produced good accuracy in implementing the C4.5 algorithm in recognizing patterns of project development. The first implication of the proposed approach is that it can establish project work monitoring services. The second implication is that project managers can improve company performance

   

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https://doi.org/10.31763/aet.v1i3.689 		      

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References


[1] A. B. Setyowati, “Mitigating energy poverty: Mobilizing climate finance to manage the energy trilemma in Indonesia,” Sustain., vol. 12, no. 4, 2020, doi: 10.3390/su12041603.

[2] I. I. of E.-I. G. on P. S. R. I. Economics, “Electricity Governance Initiative : Case Of Indonesia,” 2019.

[3] International Labour Office (ILO), The electronics industry in Indonesia and its integration into global supply chains, no. Workin Paper No. 330. 2019.

[4] IESR, “A Roadmap for Indonesia ’ s Power Sector,” 2019.

[5] S. Hardjomuljadi, “Factor analysis on causal of construction claims and disputes in Indonesia (with reference to the construction of hydroelectric power project in Indonesia),” Int. J. Appl. Eng. Res., vol. 9, no. 22, pp. 12421–12446, 2014.

[6] PwC Indonesia, “Power in Indonesia,” 2017. [Online]. Available: https://www.pwc.com/id/en/energy-utilities-mining/assets/power/power-guide-2017.pdf.

[7] K. Manghani, “Quality assurance: Importance of systems and standard operating procedures,” Perspect. Clin. Res., vol. 2, no. 1, p. 34, 2016, doi: 10.4103/2229-3485.76288.

[8] N. Azad et al., “Leadership and management are one and the same,” Am. J. Pharm. Educ., vol. 81, no. 6, 2017, doi: 10.5688/ajpe816102.

[9] M. Aidah, H. Rasmita Ngemba, and S. Hendra, “A study of barriers to e-commerce adoption among small medium enterprises in Indonesia,” ACM Int. Conf. Proceeding Ser., vol. Part F1306, no. 1, pp. 75–80, 2017, doi: 10.1145/3124116.3124124.

[10] K. M. Wilburn and H. R. Wilburn, “The Impact Of Technology On Business And Society,” Glob. J. Bus. Res., vol. 12, no. 1, pp. 23–39, 2018.

[11] S. Hendra, H. Rasmita, and F. A. Masse, “Aplication for Mapping and Supporting Small and Medium Industries,” Tadulako Sci. Technol. J., vol. 1, no. 1, pp. 26–34, 2019.

[12] J. D. Linton and G. T. Solomon, “Technology, Innovation, Entrepreneurship and The Small Business— Technology and Innovation in Small Business,” J. Small Bus. Manag., vol. 55, no. 2, pp. 196–199, 2017, doi: 10.1111/jsbm.12311.

[13] W. F. Cascio and R. Montealegre, “How Technology Is Changing Work and Organizations,” Annu. Rev. Organ. Psychol. Organ. Behav., vol. 3, no. June, pp. 349–375, 2016, doi: 10.1146/annurevorgpsych-041015-062352.

[14] P. Maroufkhani, R. Wagner, W. K. Wan Ismail, M. B. Baroto, and M. Nourani, “Big data analytics and firm performance: A systematic review,” Inf., vol. 10, no. 7, pp. 1–21, 2019, doi: 10.3390/INFO10070226.

[15] M. M. Hasan, J. Popp, and J. Oláh, “Current landscape and influence of big data on finance,” J. Big Data, vol. 7, no. 1, 2020, doi: 10.1186/s40537-020-00291-z.


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Copyright (c) 2022 S Hendra, H R Ngemba, R Azhar, R Laila, N P Domingo, R Nur

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Applied Engineering and Technology
ISSN: 2829-4998
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