Journal Industrial Servicess
Vol 9, No 2 (2023): October 2023

Proposed improvement of service quality in a university canteen using Servperf, PGCV, and TRIZ methods

Anggraeni, Shanti Kirana (Universitas Sultan Ageng Tirtayasa)
Wahyuni, Nuraida (Universitas Sultan Ageng Tirtayasa)
Amanah, Umi Noer (Universitas Sultan Ageng Tirtayasa)
Febianti, Evi (Universitas Sultan Ageng Tirtayasa)
Ekawati, Ratna (Universitas Sultan Ageng Tirtayasa)



Article Info

Publish Date
06 Dec 2023

Abstract

Kantin Hijrah at FT Untirta is among the food and beverage businesses located at the Faculty of Engineering, Sultan Ageng Tirtayasa University. Continuous efforts are essential to enhance service quality to achieve satisfied and loyal customers. This study aims to assess the service quality at Kantin Hijrah FT Untirta and suggest improvements by utilizing the SERVPERF, PGCV, and TRIZ methods. Questionnaires were distributed to 97 active FT Untirta students for data collection. According to the SERVPERV method, the service quality yielded a score of 3.64, indicating satisfaction. Additionally, utilizing the PGCV and TRIZ methods identified five attributes for improvement: maintaining cleanliness in the restroom, ensuring a well-kept handwashing area, providing menu books, adequate and well-maintained tables, and chairs, and ensuring the overall comfort of Kantin Hijrah (i.e., maintaining a suitable temperature and reducing noise). Implementing these proposed improvements aims to further enhance the service quality at Kantin Hijrah.

Copyrights © 2023






Journal Info

Abbrev

jiss

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & ...