Quality Assurance Integration of Sugeno Fuzzy & Tsukamoto Fuzzy for Readiness in Implementing Document-Based Banking Application QA Checklist
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Jun 30, 2026
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Abstract
This research proposes a decision support expert system for the readiness deployment process based on a QA checklist by integrating the Fuzzy Tsukamoto and Fuzzy Sugeno methods. This research is very necessary because application release failures to production still often occur due to inconsistent testing and reliance on the experience of Quality Assurance (QA), especially in the workplace of the researcher. The variables used for analysis are five, namely error handling, multi-platform testing, performance testing, defect handling, and UAT results. Fuzzification is mapped into 3 categories: LOW/MEDIUM/HIGH, which is implemented using a trapezoid function; Tsukamoto output is in the form of a monotonous curve shaped L/R (rising or falling). Sugeno uses constants or linear functions. In this study, an internal dataset was used with a total of 500 data points, with 185 ready data, 220 partially ready data, and 95 not ready data. I performed numerical mapping on the fuzzification categories [LOW, MEDIUM, HIGH] as [0,30, 0,60, 0,90], for a weight λ of 0.70 and showed an accuracy of 83.8%. This system provides consistent recommendations and conservative safeguards against critical conditions before production release.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Noka Prakasa Rhomadona, & Luqman. (2026). Quality Assurance Integration of Sugeno Fuzzy & Tsukamoto Fuzzy for Readiness in Implementing Document-Based Banking Application QA Checklist. Jurnal E-Komtek, 10(1), 291-304. https://doi.org/10.37339/e-komtek.v10i1.2946
References
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https://doi.org/10.36499/jinrpl.v5i2.8750
[17] Rezeki, Muhammad & Putra, Nursaka. (2021). Application of the Fuzzy Sugeno Method in a Decision Support System for Teacher Performance Assessment. Knowbase : International Journal of Knowledge in Database.http://dx.doi.org/10.30983/ijokid.v1i2.5043.
[18] Zaelani, A., Arianti, S., Mahaerani, D., Pramudito, T., & Nisa, I. K. (2024). Holistik Model Fuzzy Sugeno dan Pengambilan Keputusan Supplier dalam Produksi Air Galon Demineral. Jurnal Komputer, Informasi Dan Teknologi, 4(2), 20. https://doi.org/10.53697/jkomitek.v4i2.1938.
[19] Rama Setiawan, Agung Triayudi Mail , Arie Gunawan, “Diagnosa Kecanduan Gadget Pada Anak Usia Dini dengan Metode Fuzzy Sugeno dan Fuzzy Mamdani”, JoSYC, vol.4 no.2, pp. 315-325, Feb, 2023.
https://doi.org/10.47065/josyc.v4i2.3018
[20] Murni Marbun , Nafasansono Harefa, “Implementasi Logika Fuzzy Mamdani untuk Mengidentifikasi Tingkat Kecanduan Pelajar terhadap Game Online”, JOISIE, vol.4 no.2, pp. 128-138, Dec, 2020.
https://doi.org/10.35145/joisie.v4i2.848
[2] Rizky Nugraha Hidayat, "A Comparative Analysis of Sugeno and Tsukamoto Fuzzy Logic for Temperature Stability in SCAMIS", Jurnal Ilmiah Teknik Elektro, Vol.12, no.3 pp.182 – 189, 2025. https://doi.org/10.33387/protk.v12i3.10514
[3] E. Nugraha dkk, "Implementation of fuzzy tsukamoto method in decision support system of journal acceptance", Journal of Physics: Conference Series, Ser. 1280 022031, 2019, doi:10.1088/1742-6596/1280/2/022031
[4] Furizal dkk, "Analysis and Performance Comparison of Fuzzy Inference Systems in Handling Uncertainty: A Review", Robot Control (JRC), vol. 5, no. 4, pp. 1203–1215, Jun. 2024. https://doi.org/10.18196/jrc.v5i4.22123
[5] Victor E. Pattiradjawane, "Comparative Analysis of Mamdani, Sugeno and Tsukamoto Fuzzy Inference Systems to Support Decisions on Selecting Outstanding Employees", The Journal of Academic Science, Vol. 1 No. 1 (2024), https://doi.org/10.59613/gshwmn60 .
[6] Aep Saepullah, Romi Satria Wahono, "Comparative Analysis of Mamdani, Sugeno and Tsukamoto Method of Fuzzy Inference System for Air Conditioner Energy Saving", Journal of Intelligent Systems, Vol. 1, No. 2, December 2015,
[7] Q. Zhang, C. Fang, W. Sun, S. Yu, Y. Xu, and Y. Liu, “Test case prioritization using partial attention,” Journal of Systems and Software, vol. 192, p. 111419, 2022. https://www.sciencedirect.com/science/article/pii/S0164121222001285
[8] Y. Singh, A. Kaur, and B. Suri, “A new tech-nique for test case prioritization for regression testing,”http://dx.doi.org/10.1177/0971890720050112, vol. 9, pp. 77–85, 2005. https://journals.sagepub.com/doi/pdf/10.1177/0971890720050112
[9] L. T. Hong Lan et al., "A New Complex Fuzzy Inference System With Fuzzy Knowledge Graph and Extensions in Decision Making," in IEEE Access, vol. 8, pp. 164899-164921, 2020, https://doi.org/10.1109/ACCESS.2020.3021097.
[10] Murti, T., Abdillah, L.A., & Sobri, M. (2015). Sistem penunjang keputusan kelayakan pemberian pinjaman dengna metode fuzzy tsukamoto.https://doi.org/10.48550/arXiv.1506.00091.
[11] Bosar Panjaitan, M. Kom, Hernalom Sitorus and M. Kom (2022); Decision Support System To Determine The Optimal Production Quantity Using Fuzzy Tsukamoto Method On Lamos Garment Int. J. of Adv. Res. 10 (Oct). 814-819] (ISSN 2320-5407). www.journalijar.com
[12] Ernawati, N., & Nurrahman, N. (2022). Implementation Fuzzy Tsukamoto’s method in decision support system for flight schedule. Jurnal Teknik Informatika Unis, 10(1), 85–96. https://doi.org/10.33592/jutis.v10i1.2327
[13] Ramadhan, Guroh & Utama, Ditdit. (2019). Fuzzy Tsukamoto based Decision Support Model for Purchase Decision in Pharmacy Company. International Journal of Recent Technology and Engineering. 8.http://dx.doi.org/10.35940/ijrte.D8243.118419.
[14] Wang Y, Hussain A, Yin S, Ullah K and Božanić D (2024), Decision-making for solar panel selection using Sugeno- Weber triangular norm-based on q-rung orthopair fuzzy information. Front. Energy Res. 11:1293623. https://doi.org/10.3389/fenrg.2023.1293623
[15] Rivaldi Okta Pratama, Agung Triayudi, Arie Gunawan ,” Diagnosa Gejala Kecanduan Bermain Game Online dengan Metode Fuzzy Tsukamoto dan Fuzzy Sugeno”, JoSYC, vol. 4 no.1, pp. 275-284, Feb, 2023.
https://doi.org/10.47065/josyc.v4i2.3002
[16] Fernando Bayu Andika1, A Sidiq Purnomo, “Sistem Pakar Deteksi Dini Tingkat Kecanduan Gadget pada Anak Menggunakan Fuzzy Tsukamoto”, Jurnal Informatika dan Rekayasa Perangkat Lunak, vol.5 no.2, pp. 135-144, Sep, 2023.
https://doi.org/10.36499/jinrpl.v5i2.8750
[17] Rezeki, Muhammad & Putra, Nursaka. (2021). Application of the Fuzzy Sugeno Method in a Decision Support System for Teacher Performance Assessment. Knowbase : International Journal of Knowledge in Database.http://dx.doi.org/10.30983/ijokid.v1i2.5043.
[18] Zaelani, A., Arianti, S., Mahaerani, D., Pramudito, T., & Nisa, I. K. (2024). Holistik Model Fuzzy Sugeno dan Pengambilan Keputusan Supplier dalam Produksi Air Galon Demineral. Jurnal Komputer, Informasi Dan Teknologi, 4(2), 20. https://doi.org/10.53697/jkomitek.v4i2.1938.
[19] Rama Setiawan, Agung Triayudi Mail , Arie Gunawan, “Diagnosa Kecanduan Gadget Pada Anak Usia Dini dengan Metode Fuzzy Sugeno dan Fuzzy Mamdani”, JoSYC, vol.4 no.2, pp. 315-325, Feb, 2023.
https://doi.org/10.47065/josyc.v4i2.3018
[20] Murni Marbun , Nafasansono Harefa, “Implementasi Logika Fuzzy Mamdani untuk Mengidentifikasi Tingkat Kecanduan Pelajar terhadap Game Online”, JOISIE, vol.4 no.2, pp. 128-138, Dec, 2020.
https://doi.org/10.35145/joisie.v4i2.848