Development of Construction Inventory Application with Rapid Application Development Method

Authors

DOI:

https://doi.org/10.32493/informatika.v8i3.34375

Keywords:

Contruction Inventory Mangement, RAD, Inventory Management

Abstract

The construction industry plays a pivotal role in developing essential physical infrastructure and public facilities. Efficient inventory management is crucial for the growth and productivity of this industry. However, construction inventory management faces complex challenges due to the frequent project changes and coordination demands. Many construction companies still rely on manual processes or outdated software, leading to calculation errors, reporting delays, and an inability to swiftly adapt to project changes. To address these issues, this research introduces the Construction Inventory Application, developed using the Rapid Application Development (RAD) approach. This specialized application enhances construction inventory management by allowing rapid development, user involvement, early testing, and customization to meet unique project needs. The study demonstrates that the RAD-based Construction Inventory Application has the potential to significantly improve construction inventory management, minimizing risks associated with inefficiencies. This research contributes to advancing application development in the construction industry, aiding in efficient infrastructure development.

References

Altaf, M., Alalaoul, W. S., Musarat, M. A., Hussain, A., Saad, S., Rabbani, M. B. A., & Ammad, S. (2022). Evaluating the awareness and implementation level of LCCA in the construction industry of Malaysia. Ain Shams Engineering Journal, 13(5). https://doi.org/10.1016/j.asej.2021.101686

Alzahrani, J. I., & Emsley, M. W. (2013). The impact of contractors ’ attributes on construction project success : A post construction evaluation. JPMA, 31(2), 313–322. https://doi.org/10.1016/j.ijproman.2012.06.006

Aulawi, H., Nuraeni, F., Setiawan, R., Rianto, W. F., Surya Pratama, A., & Maulana, H. (2023a). Simple Additive Weighting in the Development of a Decision Support System for the Selection of House Construction Project Teams. 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), 517–522. https://doi.org/10.1109/ICCoSITE57641.2023.10127813

Aulawi, H., Nuraeni, F., Setiawan, R., Rianto, W. F., Surya Pratama, A., & Maulana, H. (2023b). Simple Additive Weighting in the Development of a Decision Support System for the Selection of House Construction Project Teams. 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), 517–522. https://doi.org/10.1109/ICCoSITE57641.2023.10127813

Awad, A., & Fayek, A. R. (2012). A decision support system for contractor prequalification for surety bonding. In Automation in Construction (Vol. 21, Issue 1, pp. 89–98). Elsevier B.V. https://doi.org/10.1016/j.autcon.2011.05.017

Daraghmi, Y.-A., & Daraghmi, E.-Y. (2022). RAPD: Rapid and Participatory Application Development of Usable Systems During COVID19 Crisis. IEEE Access, 10, 93601–93614. https://doi.org/10.1109/ACCESS.2022.3203582

Domingues, L., & Ribeiro, P. (2023). Project Management Maturity Models: Proposal of a Framework for Models Comparison. Procedia Computer Science, 219, 2011–2018. https://doi.org/10.1016/j.procs.2023.01.502

Gananjaya, I., Chandra, J. O. T., Christanto, J. F. A., Widianto, M. H., & Audrey, J. (2022). “A Lone Burglar†Stealth Game Development Using Rapid Application Development. 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS), 1–5. https://doi.org/10.1109/ICORIS56080.2022.10031499

Montalbán-Domingo, L., Casas-Rico, J., Alarcón, L. F., & Pellicer, E. (2023). Influence of the experience of the project manager and the foreman on project management’s success in the context of LPS implementation. Ain Shams Engineering Journal, 102324. https://doi.org/10.1016/j.asej.2023.102324

Rabuske, T. (2020). Polymath: A Platform for Rapid Application Development of Modular EDA Tools. 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1–5. https://doi.org/10.1109/ISCAS45731.2020.9180601

Santos, J. I., Pereda, M., Ahedo, V., & Galán, J. M. (2023). Explainable machine learning for project management control. Computers and Industrial Engineering, 180. https://doi.org/10.1016/j.cie.2023.109261

Sihombing, D. J. C. (2023). Analysis and development of the ProTrack application: construction timeline management using Extreme Programming Methodology. In Jurnal Mantik (Vol. 7, Issue 2). Online.

Vasilevski, N., & Birt, J. (2020). Analysing construction student experiences of mobile mixed reality enhanced learning in virtual and augmented reality environments. Research in Learning Technology, 28(1063519), 1–23. https://doi.org/10.25304/rlt.v28.2329

Wahyuningrum, T., Fitriana, G. F., Wardhana, A. C., Sidiq, M. A., & Wahyuningsih, D. (2021a). Developing Suicide Risk Idea Identification for Teenager (SERIINA) Mobile Apps Prototype using Extended Rapid Application Development. 2021 9th International Conference on Information and Communication Technology (ICoICT), 92–97. https://doi.org/10.1109/ICoICT52021.2021.9527508

Wahyuningrum, T., Fitriana, G. F., Wardhana, A. C., Sidiq, M. A., & Wahyuningsih, D. (2021b). Developing Suicide Risk Idea Identification for Teenager (SERIINA) Mobile Apps Prototype using Extended Rapid Application Development. 2021 9th International Conference on Information and Communication Technology (ICoICT), 92–97. https://doi.org/10.1109/ICoICT52021.2021.9527508

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Published

2023-09-30