User Satisfaction Analysis of the Muslim Pro Application using PIECES Method

User satisfaction serves as a benchmark for applications and helps developers improve the quality of future applications. Muslim Pro is an application that provides various services for Muslims. This app is designed to assist Muslims in performing their religious duties more easily and systematically. Numerous negative user reviews about Muslim Pro indicate that user satisfaction regarding the company's performance is still low. The aim of this research is to determine the level of satisfaction with the Muslim Pro application based on user experience. To measure user satisfaction, this study employs the PIECES method, which consists of Performance, Information, Economic, Control, Efficiency, and Service. Data collection was conducted by distributing a questionnaire to 100 active students at UIN Suska Riau who use the Muslim Pro application. The results for each variable received the following average scores: the Performance variable scored 4.38, indicating satisfaction; the Information variable scored 4.27, indicating satisfaction; the Economic variable scored 4.26, indicating satisfaction; the Control variable scored 3.97, indicating satisfaction; the Efficiency variable scored 4.24, indicating satisfaction; and the Service variable scored 4.41, indicating satisfaction. Therefore, the overall average user satisfaction score is 4.25, which indicates a satisfactory level of service provided by Muslim Pro, categorizing it as "satisfied." This means that the Muslim Pro application plays a significant role in enhancing service quality, resulting in user satisfaction and positive feedback.

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Publication Details

Journal
SISTEMASI
Published
2025-03-04
DOI
https://doi.org/10.32520/stmsi.v14i2.5077
Primary Topic
Information Retrieval and Data Mining
Type
article
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article

User Satisfaction Analysis of the Muslim Pro Application using PIECES Method

Medyantiwi Rahmawita, M. Afdal, Megawati Megawati, Sri Anjani
SISTEMASI
Information Retrieval and Data Mining
article

User Satisfaction Analysis of the Muslim Pro Application using PIECES Method

Medyantiwi Rahmawita, M. Afdal, Megawati Megawati, Sri Anjani
article en

Abstract

User satisfaction serves as a benchmark for applications and helps developers improve the quality of future applications. Muslim Pro is an application that provides various services for Muslims. This app is designed to assist Muslims in performing their religious duties more easily and systematically. Numerous negative user reviews about Muslim Pro indicate that user satisfaction regarding the company's performance is still low. The aim of this research is to determine the level of satisfaction with the Muslim Pro application based on user experience. To measure user satisfaction, this study employs the PIECES method, which consists of Performance, Information, Economic, Control, Efficiency, and Service. Data collection was conducted by distributing a questionnaire to 100 active students at UIN Suska Riau who use the Muslim Pro application. The results for each variable received the following average scores: the Performance variable scored 4.38, indicating satisfaction; the Information variable scored 4.27, indicating satisfaction; the Economic variable scored 4.26, indicating satisfaction; the Control variable scored 3.97, indicating satisfaction; the Efficiency variable scored 4.24, indicating satisfaction; and the Service variable scored 4.41, indicating satisfaction. Therefore, the overall average user satisfaction score is 4.25, which indicates a satisfactory level of service provided by Muslim Pro, categorizing it as "satisfied." This means that the Muslim Pro application plays a significant role in enhancing service quality, resulting in user satisfaction and positive feedback.

SISTEMASIVol. 14(2)
Universitas Islam Negeri Sultan Syarif Kasim Riau (ID)
Openalex Percentile: Top 95%
Information Retrieval and Data Mining
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User Satisfaction Analysis of the Muslim Pro Application using PIECES Method — Medyantiwi Rahmawita, M. Afdal, et al. · SISTEMASI (2025) | TGRS Research Map | TGRS