Analisa Dampak Implementasi Odoo ERP: Studi Kasus Perusahaan Ready-Mixed Concrete PT. X
Keywords:
Openshift, Distributed Database, MySQL ClusterAbstract
In this developing technological era, information technology has played an important role in the business world. However, PT. X is a ready-mixed concrete company that still does all the works manually. This causes the company to need more time to get the information needed because the company’s data are not integrated. In addition, there are human error problems that can occur due to employees’ negligence, such as forgetting to ask for proof of payment or forgetting to collect past due customer receivables. If the human errors are not immediately handled, they may cause problems in the company’s cash flow. This research tries to overcome the problems faced by PT. X by creating an Enterprise Resource Planning program. Among many ERP program platforms, Odoo was chosen as an ERP program that has many advantages, one of which is the ease in configuring and customizing the modules. An analysis of the ERP program is also carried out to measure the success of its implementation in the company by analyzing the suitability of business processes between the ERP program and the company's old business processes. Based on the analysis of the implementation of the ERP program at PT. X, it can be concluded that the ERP program has a positive impact on the company. Almost all business process designs in the Odoo program can meet the needs of the company well. Despite the limitations of Google Maps and financial data, the Odoo program can still run well.References
[1] Hartono, S. 2017. Open Source ERP: Odoo. (n.d.). Retrieved May 28, 2019, from https://sis.binus.ac.id/2017/01/17/open-source-erp-odoo/
[2] Kaya Keles, M., Keles, A. E., & Kilic, U. 2018. Prediction of Concrete Strength with Data Mining Methods using Artificial Bee Colony as Feature Selector. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), 1–4. https://doi.org/10.1109/IDAP.2018.8620905
[3] Limantara, N., & Jingga, F. 2017. Open source ERP: ODOO implementation at micro small medium enterprises:(A case study approach at CV. XYZ in module purchasing and production). 2017 International Conference on Information Management and Technology (ICIMTech). https://doi.org/10.1109/ICIMTech.2017.8273562
[4] Liu, Z., Zhang, Y., Yu, M., & Zhou, X. 2017. Heuristic algorithm for ready-mixed concrete plant scheduling with multiple mixers. Automation in Construction, 84, 1–13. https://doi.org/10.1016/j.autcon.2017.08.013
[5] Mukwasi, C. M., & Seymour, L. F. 2015. Interdependent Enterprise Resource Planning risks in Small and Medium-sized Enterprises in developing countries. 2015 IST-Africa Conference, IST-Africa 2015. https://doi.org/10.1109/
ISTAFRICA.2015.7190576
[6] Shah, A., Pitroda, J., & Bhavsar, J. J. 2014. Ready Mix Concrete: Economic and Qualitative Growth for Construction Industry. National Conference on: “Trends and Challenges of Civil Engineering in Today’s Transforming World.” URI=https://www.researchgate.net/publication/281493210_READY_MIX_CONCRETE_ECONOMIC_AND_QUALITATIVE_GROWTH_FOR_CONSTRUCTION_INDUSTRY
[7] Syahputra, R. H., Komarudin, K., & Destyanto, A. R. 2018. Optimization Model of Ready-Mix Concrete Delivery Route and Schedule: A Case in Indonesia RMC Industry. 2018 3rd International Conference on Computational Intelligence and Applications (ICCIA), 21–25. https://doi.org/10.1109/ICCIA.2018.00012
[8] Wei, O. C., Idrus, R., & Abdullah, N. L. 2017. Extended ERP for inventory management: The case of a multi-national manufacturing company. International Conference on Research and Innovation in Information Systems, ICRIIS. https://doi.org/10.1109/ICRIIS.2017.8002489
