Network service quality rank

Author(s):  
Zeynab Bahrami Bidoni ◽  
Roy George
2017 ◽  
Vol 1 (2) ◽  
pp. 61 ◽  
Author(s):  
M. Mujiya Ulkhaq ◽  
Monalisa Putri Br. Barus

As competition increases, delivering better service becomes more important; it is not with the expception of PT. Telekomunikasi Indonesia, Tbk (PT TELKOM), which is the only state-owned enterprise as well as the largest telecommunication and network service provider in Indonesia. This is because service quality is considered as an important aspect for the success of the service provider. This study aims to assess the service quality of PT. TELKOM for IndiHome products. A preliminary study showed that there are many customers complaining about IndiHome's service quality. In addition, the tight competition and the emergence of several similar service providers as well as attractive promotion will inevitably attract customers not to be loyal if PT. TELKOM does not immediately improve the quality of the service. This research was conducted not only to assess the service quality of IndiHome (using SERVQUAL), but also to give some recommendations to PT. TELKOM especially Regional 1 Sumatra in order to attain customer satisfaction. There were 153 respondents who participated in this study. The results show that on average, customers are not satisfied (the gap value is −1.539). This negative value means that the customers have high expectations of the services that should be delivered by PT. TELKOM, but in reality the performance of the service is not as high as their expectations. Therefore, some recommendations are given to improve the performance of IndiHome’s service quality so that the customers are satisfied.


Author(s):  
Afako Jephthah Kwame ◽  
Afako Jeremiah Kwaku ◽  
Tian Hongyun

This study examines the effect of service quality on customer choice. Specifically, it investigated the relationship between service quality dimensions and customer choice, examining the effect of service quality dimensions on customer choice and the service quality dimension most preferred by customers. The quantitative research approach was used with a sample of 250 respondents using purposive and convenient sampling technique. Questionnaires were used to collect the data and analyzed using SPSS version 21. With regards to the correlation variables, it showed a strong positive relationship between service quality dimensions and customer choice of a mobile network service provider and the regression variables showed a significant effect between service quality and customer choice indicating that service quality is very important and influence customers’ choice in choosing a mobile network service provider. It was recommended that Mobile network service providers should continue to improve on the service quality dimensions (empathy, responsiveness, reliability assurance, and tangibility). Since customers look out for these dimensions when choosing a mobile network service provider.


2018 ◽  
Vol 8 (2) ◽  
pp. 67
Author(s):  
Mairina Anggarini Francesca

Technique Service Unit as party who handling directly distribution disturbance, where this unit have big influence on network service quality. Found that compliance on disturbance at present indicating there is waste in network service process then at this research will be quality repair effort from technique service unit from efficiency aspect. In this research method are Data Envelopment Analysis to determining where unit would be primary focus in this research based on efficiency level, Lean Service to improving poor technique service quality, as well as Value Management and dynamic system modeling with software Vensim used for improvement doing. Result of the research indicating whenever Data Envelopment Analysis, Network Service Unit (UPJ) Dukuh Kupang stated inefficiency with Technical Efficiency around 0,73. And repair effort in waste reducing found that waste defect as main cause with seven typesdisturbance causes as Critical to Quality. From CTQ found waste cause as well as repair priority, and repair alternative based on highest RPN value from FMEA then simulated to get best alternative. From available alternative, could be proved that repair recommendation had changed Network Service Unit (UPJ) be efficient with scale efficiency value change from 0,972 to 1. The advantage of this research are problem discussed completely and detail, where repair objectives done on unit really experienced problem. Then causes of the exist problem seek the cause root then priority of repair could precisely. And effort in choosing best alternatives previous simulated with the aim could be known system behavior over the impact of repair that be conducted. Then finally enable a comparison between before systemcondition and after repair


2001 ◽  
Vol 11 (3) ◽  
pp. 169-188 ◽  
Author(s):  
James Aweya ◽  
Michel Ouellette ◽  
Delfin Y. Montuno ◽  
Zhonghui Yao

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