The Collaboration of Statistical Process Control and Root Cause Analysis Method in Maintaining The Quality of Biometric Solution Products

Authors

  • Taufiq Agus Supriyanto Universitas 17 Agustus 1945 Surabaya
  • Slamet Riyadi Universitas 17 Agustus 1945 Surabaya
  • Fausta Ari Barata Universitas 17 Agustus 1945 Surabaya

DOI:

https://doi.org/10.70062/managementdynamics.v2i3.309

Keywords:

biometric solution, Statistical Process Control, Root Cause Analysis, quality

Abstract

The quality of biometric solution products needs special attention. This is based on complaints submitted by consumers. Following up on these complaints, research needs to be conducted to find out how consumers feel about biometric solution products, find the root of the problem that affects product quality, and also find solutions that can be done to maintain the quality of this biometric solution product. This study uses a qualitative research method with a case study approach at a biometric solution provider company. The research sample is a biometric solution product produced from July 2023 to March 2025. The collaborative application of the Statistical Process Control and Root Cause Analysis methods is used to determine whether product damage is still within control limits and also to determine the main causes of the decline in product quality. The results of the study showed that the reported product damage reached 23.6%, which exceeds the maximum product damage standard determined by management, which is 10%. Although the product damage exceeds the maximum standard, the results of calculations using the control chart show that the damage is still within normal control limits. However, several factors causing product quality problems are determined by human factors, materials, methods and measurements. The lack of technical capabilities and technical documentation from the Research and Development team shows a major influence on the problems that occur. Improvement steps can be taken through improving Research and Development procedures, completeness of technical documentation, and increasing the technical capabilities of the Research and Development team.

References

Abdussamad, Z. (2021). Qualitative research methods. Syakir Media Press.

Adiwidjaja, I., Kaurna, E., & Fithriana, N. (2024). Implementation of biometric-based attendance in civil servant (PNS) working hour discipline. Reformasi: Scientific Journal of Social and Political Sciences, 14(1), 209–219.

Andersen, B., & Fagerhaug, T. (2006). Quality essentials: A reference guide from A to Z. ASQ Quality Press.

Burhanuddin, A. F., & Sulistiyowati, W. (2022). Design of quality control to reduce shoe production defects using root cause analysis and Lean Six Sigma methods. Procedia of Engineering and Life Science, 2(2).

Caesarriani, C. (2025). Quality analysis to reduce shoe product defects with statistical process control and root cause analysis methods at PT XYZ. Jurnal LOGIC: Logistics & Supply Chain Center, 3(2), 78–86.

Chandra, T., Chandra, S., & Hafni, L. (2020). Service quality, consumer satisfaction, and consumer loyalty: A theoretical review. IRDH (International Research and Development for Human Beings).

Daga, R. (2017). Image, product quality and customer satisfaction. Global Research and Consulting Institute.

Datta, P., Bhardwaj, S., Panda, S. N., Tanwar, S., & Badotra, S. (2019). Survey of security and privacy issues on biometric systems. In Handbook of computer networks and cyber security: Principles and paradigms (pp. 763–776). https://doi.org/10.1007/978-3-030-22277-2_30

Doggett, A. M. (2005). Root cause analysis: A framework for tool selection. Quality Management Journal, 12(4), 34–45.

Elyas, R., & Handayani, W. (2020). Statistical process control (SPC) for quality control of furniture products at UD. Ihtiar Jaya. Bisma: Journal of Management, 6(1).

Fajrin, M. T., & Sulistiyowati, W. (2018). Reducing defects in shoe products by integrating statistical process control (SPC) and root cause analysis (RCA): Case study of PT XYZ. Industrial Spectrum, 16, 29–40.

Foster, P. (2022). Root cause analysis 101 guidebook. https://www.ease.io/resources/root-cause-analysis-101/

Gessa, A., Marin, E., & Sancha, P. (2022). A practical application of statistical process control to evaluate the performance rate of academic programs: Implications and suggestions. Quality Assurance in Education, 30(4), 571–588.

Gochez, J. (2023). Eliminating password woes: A biometric solution to cyber threats.

Harjadi, D., & Arraniri, I. (2021). Experiential marketing & product quality in millennial generation customer satisfaction. http://insaniapublishing.com

Hizni’am, N. A., Karnaningroem, N., & Mardyanto, M. A. (2019). Study of Karangpilang II water production quality control using statistical process control (SPC) - CORE Reader. Science and Technology Journal of Proceedings Series, 5, 248–255.

Hofstetter, S. D., Rajeshkumar, R., & Kenney, A. (2024). Introduction to biometrics. www.iom.int

Jain, A. K., Flynn, P., & Ross, A. A. (2019). Handbook of biometrics. Springer Science+Business Media, LLC.

Jain, A. K., Ross, A., & Prabhakar, S. (2004). An introduction to biometric recognition. IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 4–20.

Juran, J. M., & Godfrey, A. B. (1998). Juran's quality handbook (5th ed.). McGraw-Hill.

Khairul Hadi, R., & Sulaeman, A. (2024). The influence of service quality and product quality on consumer satisfaction at PT. Airmas Perkasa. Scientific Journal of Reflection: Economic, Accounting, Management and Business, 7(2), 545–553.

Kurniasih, D., Rusfiana, Y., Subagyo, A., & Nuradhawati, R. (2021). Analysis techniques (1st ed.). Alfabeta Publisher. www.cvalfabeta.com

Masnun, S., & Syabrus, H. (2024). The influence of product quality on consumer satisfaction. JIIP (Scientific Journal of Educational Sciences), 7(4), 3736–3740.

Naamy, N. (2019). Qualitative research methodology: Basics & its applications. Center for Research and Scientific Publication LP2M UIN Mataram.

Oakland, J. S. (2003). Statistical process control (5th ed.). Butterworth-Heinemann.

Prasetyo, H. E., & Priyambodo, S. W. (2025). Product quality and e-promotion that support purchase decisions for “SANDEL” glasses in Tembok Village, Limpung District, Batang Regency. Digital Business Intelligence Journal, 1(1), 13–23.

Purba, M., & Arifin, Z. (2022). Product quality control using statistical process control (SPC) and PDCA to reduce the number of production rejects (at PT. Toshiba Electronic Corporation). Proficiency, 10(2), 119–127.

Serrat, O. (2017). The five whys technique. https://doi.org/10.1007/978-981-10-0983-9_32

Sidikiyah, I. A., & Muhammad, K. (2022). Defect analysis in plywood manufacturing process using statistical process control (SPC) and root cause analysis (RCA) methods. JUSTI (Journal of Industrial Systems and Engineering), 3(2), 267–274.

Tamam, M., Ratnawati, D. E., & Setiawan, N. Y. (2024). Root cause analysis (RCA) based on negative sentiment towards integrated investment applications on Google Review (Case study: SIMINVEST application). Journal of Information Technology and Computer Science Development, 1(1), 1–7.

Teressa, B., Lukito, J. I., Aprilia, A., & Andreani, F. (2024). The effect of product quality and service quality on consumer satisfaction and repurchase interest at Wizz Drive Thru Gelato Surabaya. Journal of Marketing Management, 18(1), 1–14.

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Published

2025-07-09

How to Cite

Taufiq Agus Supriyanto, Slamet Riyadi, & Fausta Ari Barata. (2025). The Collaboration of Statistical Process Control and Root Cause Analysis Method in Maintaining The Quality of Biometric Solution Products. Management Dynamics: International Journal of Management and Digital Sciences, 2(3), 220–233. https://doi.org/10.70062/managementdynamics.v2i3.309

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