ANFIS method to enhance FMEA water operation model of Indonesia drinking water distribution system

Diah Septiyana; Mohamed Abd. Rahman; Tasnim Firdaus Mohamed Ariff; Desy Rosarina; Erry Yulian T. Adesta; Galang Persada Nurani Hakim; Nor Aiman Sukindar

doi:10.22441/sinergi.2025.1.016

Authors

Diah Septiyana Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Tangerang Department of Manufacturing and Material Engineering, Kulliyyah of Engineering (KOE), International Islamic University Malaysia, Indonesia
Mohamed Abd. Rahman Department of Manufacturing and Material Engineering, Kulliyyah of Engineering (KOE), International Islamic University Malaysia, Malaysia
Tasnim Firdaus Mohamed Ariff Department of Manufacturing and Material Engineering, Kulliyyah of Engineering (KOE), International Islamic University Malaysia, Malaysia
Desy Rosarina Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Tangerang, Indonesia
Erry Yulian T. Adesta Department of Mechanical Engineering, Faculty of Engineering, Universitas Bandar Lampung, Indonesia
Galang Persada Nurani Hakim Department of Electrical Engineering, Faculty of Engineering, Universitas Mercu Buana, Indonesia
Nor Aiman Sukindar Product Design, School of Design, Universiti Teknologi Brunei, Brunei Darussalam

DOI:

https://doi.org/10.22441/sinergi.2025.1.016

Keywords:

ANFIS, Drinking Water, FMEA, Risk Priority Number, Water Operation,

Abstract

Many problems are found in water treatment and distribution in water operations. Those problems range from low to critical risk. All critical risks must be addressed immediately. The Failure Mode and Effects Analysis (FMEA) prioritizes problems based on Occurrence, Severity, and Detection values to identify critical risks. However, this method is also having problems. With the same risk priority number (RPN) calculation, FMEA would be a ranking problem with the same RPN value; hence, we have a priority problem that is not critical but based on the highest value. To solve this problem, we propose additional methods, such as the ANFIS, to give weight based on risk level classification. From the results of data processing carried out by the ANFIS method, it is proven that it can perform re-ranking, for example, in the L2, R5, S8, and U3 code, which has an FMEA RPN value of 12. However, in FMEA-ANFIS, the RPN value becomes L2 2.05, R5 1.52, S8 1.32, and U3 2.52. Furthermore, with these results, it can be concluded that the ANFIS method can enhance the FMEA model in water operations.