ANALISIS TINGKAT KEPUASAN KONSUMEN DENGAN METODE NET PROMOTER SCORE (NPS) DAN CUSTOMER EFFORT SCORE (CES) PADA PENGGUNA KARTU TELKOMSEL DI SAMARINDA

Analysis of Consumer Satisfaction Levels Using the Net Promoter Score (NPS) and Customer Effort Score (CES) Methods on Telkomsel Card Users in Samarinda. The purpose of the study was to measure the level of consumer satisfaction and ease of service for Telkomsel card service users in Samarinda. This research method is quantitative descriptive, which is a research method that uses quantitative data to describe the characteristics of a phenomenon or population, without testing the relationship or determining the cause and effect between variables. The population is all consumers who use Telkomsel card services in Indonesia, totaling 8510 users (as of September 2023). The sample size collected was 158 respondents (minimum sample of 99 based on the Slovin formula). The type of data is primary data or internal data obtained directly from respondents. The data collection technique uses a questionnaire. The data analysis technique uses the Net Promoters Score (NPS) method, which is a method for measuring consumer satisfaction, and the Customer Effort Score (CES) method, which is a method for measuring the ease of consumer experience with product/company services. The assessment scale for each respondent's answer is scored from 0-10, where 0 means very unlikely/very difficult, and 10 means very possible/very easy. The survey results from 158 respondents who were collected showed that Telkomsel had a CES index on a scale of 7-10 (very easy), namely 7.47 in the "very easy" range, indicating that customers/consumers are consistently satisfied with the ease of use of Telkomsel products or services. This score is evidence of Telkomsel's efforts to provide a customer-centric experience. A high CES score can be a competitive advantage, as it can lead to increased customer loyalty, satisfaction, and referrals. For the NPS score of 18.35% positive, it shows that there are more promoters than detractors, and this is a good indicator of Telkomsel consumer loyalty. The existence of promoters, although in a small percentage, shows that some customers are enthusiastic about Telkomsel products and services and are willing to recommend them to others. This shows that Telkomsel provides a positive experience for some of its customer base

Authors

Institutions

Publication Details

Journal
Jurnal Ekonomika Manajemen Akuntansi dan Perbankan Syari ah
Published
2025-04-16
DOI
https://doi.org/10.24903/je.v14i1.3110
Primary Topic
Consumer Behavior and Marketing Influence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALISIS TINGKAT KEPUASAN KONSUMEN DENGAN METODE NET PROMOTER SCORE (NPS) DAN CUSTOMER EFFORT SCORE (CES) PADA PENGGUNA KARTU TELKOMSEL DI SAMARINDA

Darlan, Mardiono, Syarifah Lulu Zannati, Muhammad Fadli
Jurnal Ekonomika Manajemen Akuntansi dan Perbankan Syari ah
Consumer Behavior and Marketing Influence
article

ANALISIS TINGKAT KEPUASAN KONSUMEN DENGAN METODE NET PROMOTER SCORE (NPS) DAN CUSTOMER EFFORT SCORE (CES) PADA PENGGUNA KARTU TELKOMSEL DI SAMARINDA

Darlan, Mardiono, Syarifah Lulu Zannati, Muhammad Fadli
article en

Abstract

Analysis of Consumer Satisfaction Levels Using the Net Promoter Score (NPS) and Customer Effort Score (CES) Methods on Telkomsel Card Users in Samarinda. The purpose of the study was to measure the level of consumer satisfaction and ease of service for Telkomsel card service users in Samarinda. This research method is quantitative descriptive, which is a research method that uses quantitative data to describe the characteristics of a phenomenon or population, without testing the relationship or determining the cause and effect between variables. The population is all consumers who use Telkomsel card services in Indonesia, totaling 8510 users (as of September 2023). The sample size collected was 158 respondents (minimum sample of 99 based on the Slovin formula). The type of data is primary data or internal data obtained directly from respondents. The data collection technique uses a questionnaire. The data analysis technique uses the Net Promoters Score (NPS) method, which is a method for measuring consumer satisfaction, and the Customer Effort Score (CES) method, which is a method for measuring the ease of consumer experience with product/company services. The assessment scale for each respondent's answer is scored from 0-10, where 0 means very unlikely/very difficult, and 10 means very possible/very easy. The survey results from 158 respondents who were collected showed that Telkomsel had a CES index on a scale of 7-10 (very easy), namely 7.47 in the "very easy" range, indicating that customers/consumers are consistently satisfied with the ease of use of Telkomsel products or services. This score is evidence of Telkomsel's efforts to provide a customer-centric experience. A high CES score can be a competitive advantage, as it can lead to increased customer loyalty, satisfaction, and referrals. For the NPS score of 18.35% positive, it shows that there are more promoters than detractors, and this is a good indicator of Telkomsel consumer loyalty. The existence of promoters, although in a small percentage, shows that some customers are enthusiastic about Telkomsel products and services and are willing to recommend them to others. This shows that Telkomsel provides a positive experience for some of its customer base

Jurnal Ekonomika Manajemen Akuntansi dan Perbankan Syari ahVol. 14(1)
Widya Gama Mahakam University (ID)
Openalex Percentile: Top 86%
Consumer Behavior and Marketing Influence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.