Studi Literature Optimasi Waktu dan Biaya pada Proyek Perangkat Lunak

Rizky Parlika, Dewi Azizah, Sarirotul Latifah, Benny Danendra Hadi

Abstract


Dalam pelaksanaan sebuah proyek perangkat lunak pasti membutuhkan usaha yang lebih untuk dapat dikatakan sebuah proyek tersebut berhasil, yaitu agar pekerjaan lebih efektif dan lebih efisien dengan sumber daya yang ada serta menghasilkan output yang baik. Seperti halnya membutuhkan optimasi waktu dan optimasi biaya minimum, masalah inilah yang sering terjadi pada pelaksanaan sebuah proyek terutama perangkat lunak karena adanya beberapa faktor seperti keterbatasan sumber daya. Oleh karena itu, Makalah ini menulis tentang penggunaan beberapa metode untuk optimasi waktu dan optimasi biaya minimum pada proyek perangkat lunak. Disini penulis membandingkan tiga metode yaitu metode CPM (Critical Path Methode), metode PERT (Program Evalution and Review Technique), dan metode PDM (Precedence Diagram Method). Tujuannya adalah agar kita bisa mengetahui dari tiga metode tersebut mana yang paling baik untuk optimasi waktu, optimasi biaya minimum atau keduanya secara akurat. 


Keywords


CPM; Optimasi Biaya; Optimasi Waktu; PDM; PERT;

Full Text:

PDF

References


M. L. Fioravanti et al., “Integrating project based learning and project management for software engineering teaching: An experience report,” SIGCSE 2018 - Proc. 49th ACM Tech. Symp. Comput. Sci. Educ., vol. 2018-Janua, no. Icmc, pp. 806–811, 2018, doi: 10.1145/3159450.3159599.

S. Lutaaya, “Project Management Theory and Software Development Project,” no. March, 2019, doi: 10.13140/RG.2.2.24335.84647.

B. Farhang Moghaddam, “Mapping optimization techniques in project management,” J. Proj. Manag., 2019, doi: 10.5267/j.jpm.2019.3.003.

M. Niazi, S. Mahmood, M. Alshayeb, A. M. Qureshi, K. Faisal, and N. Cerpa, “Toward successful project management in global software development,” Int. J. Proj. Manag., 2016, doi: 10.1016/j.ijproman.2016.08.008.

P. Pospieszny, B. Czarnacka-chrobot, and A. Kobylinski, “An effective approach for software project effort and duration estimation with machine learning algorithms The Journal of Systems and Software An effective approach for software project effort and duration estimation with machine learning algorithms,” J. Syst. Softw., vol. 137, no. November, pp. 184–196, 2017, doi: 10.1016/j.jss.2017.11.066.

W. Zheng, Y. Qin, E. Bugingo, D. Zhang, and J. Chen, “Cost optimization for deadline-aware scheduling of big-data processing jobs on clouds,” Futur. Gener. Comput. Syst., vol. 82, pp. 244–255, 2018, doi: 10.1016/j.future.2017.12.004.

E. N. Alkhanak, S. P. Lee, R. Rezaei, and R. M. Parizi, “Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: A review, classifications, and open issues,” J. Syst. Softw., vol. 113, pp. 1–26, 2016, doi: 10.1016/j.jss.2015.11.023.

M. Lu, J. Liu, and W. Ji, “Formalizing a path-float-based approach to determine and interpret total float in project scheduling analysis,” Int. J. Constr. Manag., vol. 17, no. 4, pp. 251–263, 2017, doi: 10.1080/15623599.2016.1207366.

Y. A. Effendi and R. Sarno, “Non-linear optimization of critical path method,” in Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017, 2017, doi: 10.1109/ICSITech.2017.8257091.

D. Pimchangthong and V. Boonjing, “Effects of Risk Management Practices on IT Project Success,” Manag. Prod. Eng. Rev., vol. 8, no. 1, pp. 30–37, 2017, doi: 10.1515/mper-2017-0004.

G. I. Budiawati and R. Sarno, “Time and cost optimization of business process RMA using PERT and goal programming,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 17, no. 2, pp. 781–787, 2019, doi: 10.12928/TELKOMNIKA.v17i2.11792.

A. M. Fahmy, “Optimization Algorithms in Project Scheduling,” in Optimization Algorithms - Methods and Applications, 2016.

Y. He, C. Gu, Z. Chen, and X. Han, “Integrated predictive maintenance strategy for manufacturing systems by combining quality control and mission reliability analysis,” Int. J. Prod. Res., vol. 55, no. 19, pp. 5841–5862, 2017, doi: 10.1080/00207543.2017.1346843.

A. Atef, I. El-henawy, and M. Abdel-Baset, “Project Scheduling: Survey and Research Potentials,” Int. J. Comput. Appl. Technol. Res., 2015, doi: 10.7753/ijcatr0404.1005.

S. Atin and R. Lubis, “Implementation of Critical Path Method in Project Planning and Scheduling,” in IOP Conference Series: Materials Science and Engineering, 2019, doi: 10.1088/1757-899X/662/2/022031.

M. Sajad, M. Sadiq, K. Naveed, and M. S. Iqbal, “Software Project Management : Tools assessment , Comparison and suggestions for future development .,” Int. J. Comput. Sci. Netw. Secur., 2016.

D. M. Informatika, F. Teknik, and U. N. Surabaya, “PENGEMBANGAN SISTEM PENJADWALAN MATA PELAJARAN BERBASIS WEB ( STUDI KASUS : MAN SURABAYA ) Rahma Azmi Aziz Abstrak.”

F. Habibi, O. Taghipour Birgani, H. Koppelaar, and S. Radenović, “Using fuzzy logic to improve the project time and cost estimation based on Project Evaluation and Review Technique (PERT),” J. Proj. Manag., vol. 3, pp. 183–196, 2018, doi: 10.5267/j.jpm.2018.4.002.

R. G. Solís-Carcaño, G. A. Corona-Suárez, and A. J. García-Ibarra, “The Use of Project Time Management Processes and the Schedule Performance of Construction Projects in Mexico,” J. Constr. Eng., 2015, doi: 10.1155/2015/868479.

R. Nafkha and A. Wiliński, “THE CRITICAL PATH METHOD IN ESTIMATING PROJECT DURATION,” 2016.

N. T. Nguyen, Q. T. Huynh, and T. H. G. Vu, “A Bayesian critical path method for managing common risks in software project scheduling,” ACM Int. Conf. Proceeding Ser., pp. 382–388, 2018, doi: 10.1145/3287921.3287962.

M. K. Chin, S. L. Kek, S. Y. Sim, and T. W. Seow, “Probabilistic Completion Time in Project Scheduling,” Int. J. Eng. Res. Sci., vol. 3, no. 4, pp. 2395–6992, 2017.

W. Srisungnoen and W. Vatanawood, “An ontology-based knowledge acquisition for PDM,” Proc. - 2018 IEEE/ACIS 19th Int. Conf. Softw. Eng. Artif. Intell. Netw. Parallel/Distributed Comput. SNPD 2018, pp. 287–292, 2018, doi: 10.1109/SNPD.2018.8441117.

S. Isaac and M. Hajdu, “The Possibilities for Better Project Tracking based on the New Developments of the Precedence Diagramming Method,” Procedia Eng., vol. 164, no. June, pp. 75–81, 2016, doi: 10.1016/j.proeng.2016.11.594.

S. Azi Laga and R. Sarno, “Time and Cost Optimization Using Goal Programming and Priority Scheduling,” Proc. - 2018 Int. Semin. Appl. Technol. Inf. Commun. Creat. Technol. Hum. Life, iSemantic 2018, pp. 35–40, 2018, doi: 10.1109/ISEMANTIC.2018.8549802.

P. L. Guida and G. Sacco, “A method for project schedule delay analysis,” Comput. Ind. Eng., vol. 128, no. December 2018, pp. 346–357, 2019, doi: 10.1016/j.cie.2018.12.046.

A. Aribisala, A. Otenaike, O. Balogun, and L. Ofusori, “Analysis of an Engineering Project Using Program Evaluation and Review Technique,” FUOYE J. Eng. Technol., vol. 2, no. 1, pp. 9–12, 2017.

M. H. CALP and M. A. AKCAYOL, “Optimization of Project Scheduling Activities in Dynamic CPM and PERT Networks Using Genetic Algorithms,” Süleyman Demirel Üniversitesi Fen Bilim. Enstitüsü Derg., 2018, doi: 10.19113/sdufbed.35437.

W. Srisungnoen and W. Vatanawood, “Dependency types validation of precedence diagram method using ontology,” Eng. J., vol. 22, no. 5, pp. 155–169, 2018, doi: 10.4186/ej.2018.22.5.155.

H. A. Baits, I. A. Puspita, and A. F. Bay, “Combination of program evaluation and review technique (PERT) and critical path method (CPM) for project schedule development,” Int. J. Integr. Eng., vol. 12, no. 3, pp. 68–75, 2020, doi: 10.30880/ijie.2020.12.03.009.


Article Metrics

Abstract has been read : 553 times
PDF file viewed/downloaded: 0 times


DOI: http://doi.org/10.25273/research.v4i2.6636

Refbacks

  • There are currently no refbacks.



This work by Research is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.