Evaluating the Decision to Implement Fully Automated Testing to Increase Business Quality Service in Asuransi Astra Digital Products
DOI:
https://doi.org/10.35877/454RI.qems2168Keywords:
Asuransi Astra Digital Products; valuating; Business QualityAbstract
Taking these developments into account, this research will focus on assessing the ability of Asuransi Astra's digital teams to implement a fully automated testing process for its digital products. By analyzing various factors that can influence the successful implementation of automated testing, this research aims to provide insights in determining what and how many features requires to be selected to be tested by automation within Asuransi Astra's digital products. The aim of this research is to evaluate the discision to implement fully automated testing to increase bussines quality services in asuransi astra digital products. After determining the research design, the author requires data to assist in answering the research questions and achieving the goals. There is a process known as data collection for gathering necessary data. The model has facilitated understanding role expectations and aligned team efforts, allowing for a more synchronized approach towards teamwork and strategy.
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Sulivyo, L., Siswoko, R., & Tegor, T. (2019). The Effectiveness of Holistic Marketing and Word-of-Mouth Communication on Purchasing Decision at Pt Asuransi Central Asia Branch Office of Tiang Bendera West Jakarta. International Journal of Multicultural and Multireligious Understanding, 6(1). https://doi.org/10.18415/ijmmu.v6i1.562
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Bauer, R., Michaux, Y., & McLaughlin, M. (2021). Making insurance seamless | How embedded insurance provides peace of mind. IBM Institute for Business Value, 12.
Bhushan, N., & Rai, K. (2005). Strategic Decision Making: Applying the Analytic Hierarchy Process. Interfaces, 35(3), 260–261.
Bob Kantor. (2022). The raci matrix: your blueprint for project success. Cio , 1–1.
Chatterjee, J., & Dethlefs, N. (2022). Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3197167
Choi, Y., Seo, A., & Kim, H. S. (2022). ScriptPainter: Vision-based, On-device Test Script Generation for Mobile Systems. Proceedings - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022. https://doi.org/10.1109/IPSN54338.2022.00045
Darmawi, H. (2022). Manajemen Risiko Edisi 2. Bumi Aksara, 225.
Eling, M., Nuessle, D., & Staubli, J. (2022). The impact of artificial intelligence along the insurance value chain and on the insurability of risks. Geneva Papers on Risk and Insurance: Issues and Practice, 47(2). https://doi.org/10.1057/s41288-020-00201-7
Fukuzaki, T., Liu, S., & Butler, M. (2022). DevFemOps: enhancing maintainability based on microservices using formal engineering methods. Connection Science, 34(1). https://doi.org/10.1080/09540091.2022.2099347
Galin, D. (2004). Software Quality Assurance From Theory to Implementation. Pearson Education Limited, 616.
Insurtech Market Size | Industry Report, 2023-2030. (2022). Grand View Research.
Isayas, Y. N. (2021). Financial distress and its determinants: Evidence from insurance companies in Ethiopia. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2021.1951110
Kaushik, K., Bhardwaj, A., Dwivedi, A. D., & Singh, R. (2022). Article Machine Learning-Based Regression Framework to Predict Health Insurance Premiums. International Journal of Environmental Research and Public Health, 19(13). https://doi.org/10.3390/ijerph19137898
Kiwanuka, A., & Sibindi, A. B. (2023). Insurance Literacy: Significance of Its Dimensions for Insurance Inclusion in Uganda. Economies, 11(2). https://doi.org/10.3390/economies11020033
Makki, M., Van Landuyt, D., & Joosen, W. (2017). Automated Regression Testing of BPMN 2.0 Processes. Acm Sigplan Notices, 52(3).
Mayr-Dorn, C., Vierhauser, M., Bichler, S., Keplinger, F., Cleland-Huang, J., Egyed, A., & Mehofer, T. (2021). Supporting quality assurance with automated process-centric quality constraints checking. Proceedings - International Conference on Software Engineering. https://doi.org/10.1109/ICSE43902.2021.00118
Mayr-Dorn, C., Vierhauser, M., Bichler, S., Keplinger, F., Cleland-Huang, J., Egyed, A., & Mehofer, T. (2023). ProCon: An automated process-centric quality constraints checking framework. Journal of Systems and Software, 202. https://doi.org/10.1016/j.jss.2023.111727
OJK. (2021). Statistik Perasuransian 2021. Insurance Statistics, 1–768.
Olea, A., Ibrahim, M., Bersohn, D., Johnson, J., Adefemi, W., & Dickinson, J. (2023). The automation edge for HighTech | Harnessing the power of automation to transform the High Tech industry. Accenture.
Priscilia, I. V. (2019). Tanggung Jawab Penanggung terhadap Penyalahgunaan Premi Asuransi. JURNAL RECHTENS, 8(2). https://doi.org/10.36835/rechtens.v8i2.531
Setiawan, H., Hasyim, H., & Mutiara, R. (2020). Marketing Mix and Trust as A Visiting Intention Factors. Journal of Multidisciplinary Academic, 4(6).
Sulivyo, L., Siswoko, R., & Tegor, T. (2019). The Effectiveness of Holistic Marketing and Word-of-Mouth Communication on Purchasing Decision at Pt Asuransi Central Asia Branch Office of Tiang Bendera West Jakarta. International Journal of Multicultural and Multireligious Understanding, 6(1). https://doi.org/10.18415/ijmmu.v6i1.562
Weedige, S. S., Ouyang, H., Gao, Y., & Liu, Y. (2019). Decision making in personal insurance: Impact of insurance literacy. Sustainability (Switzerland), 11(23). https://doi.org/10.3390/su11236795
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Published
2023-11-29
How to Cite
Hongo, S., & Sunitiyoso , Y. (2023). Evaluating the Decision to Implement Fully Automated Testing to Increase Business Quality Service in Asuransi Astra Digital Products. Quantitative Economics and Management Studies, 5(1), 43–60. https://doi.org/10.35877/454RI.qems2168
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