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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Innovation in Research of Informatics (INNOVATICS)
Syakhila, Amanda
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Evaluating the Effectiveness of the SIGNAL Digital Samsat Application Using the PIECES Framework and Technical Testing Syakhila, Amanda; Fitria, Rahma; Yulisda, Desvina
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10086

Abstract

The SIGNAL application is a digital service provided by the Indonesian National Police's Traffic Corps (Korlantas Polri) to facilitate online STNK validation. However, several users have reported issues such as unsuccessful verification processes, delays in the delivery of physical documents, slow customer service responses, and login difficulties. This study aims to evaluate the performance of the SIGNAL application using the PIECES framework, which covers six dimensions: Performance, Information, Economic, Control, Efficiency, and Service. Data were collected through questionnaires distributed to 300 users of the SIGNAL application. Each questionnaire indicator was developed based on PIECES theory and statistically tested for validity and reliability using AVE and Composite Reliability. Descriptive and inferential analyses were conducted, including a one-sample t-test to assess user satisfaction. The results show that the average satisfaction score was 3.9 out of 5, with 76% of respondents expressing satisfaction or high satisfaction, 15% neutral, and 9% dissatisfied. The highest satisfaction was recorded in the Economic aspect (mean 4.06), while the lowest was in Control (mean 3.94). Technical testing using Apptim showed the app performed well, with an average response time of 2.4 seconds, CPU usage at 18%, memory usage at 170MB, and no crashes (0% error rate). These findings indicate that SIGNAL is generally effective and stable, though improvements are needed, particularly in service responsiveness and cross-device performance. This research contributes to the theoretical application of the PIECES model in evaluating public digital services and offers insights for improving the quality of e-government systems in Indonesia.
Performance and Effectiveness Evaluation of the National Digital Samsat as a Public E-Government Service Using the PIECES Framework Fitria, Rahma; Syakhila, Amanda; Yulisda, Desvina; Hussain, Azham; Febriandirza, Arafat
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.15672

Abstract

The SIGNAL application is a digital service from the Korlantas Polri that makes it easier for people to take care of STNK validation online. However, some users still experience problems such as the verification process that is not always successful, slow delivery of physical documents, less rapid customer service response, and slow verification or login process. Therefore, this study aims to evaluate the performance of the SIGNAL application with the PIECES framework approach which includes six aspects: Performance, Information, Economic, Control, Efficiency, and Service. The data collection method was carried out through distributing questionnaires to 300 respondents who use the SIGNAL application. In addition, technical performance testing was also carried out using Apptim tools to measure application technical metrics. The results showed that overall, users were satisfied with the system based on the six aspects of PIECES with an average score of 3.9 on a scale of 5.76% of respondents stated that they were satisfied to very satisfied, 15% were undecided/neutral, and 9% were dissatisfied. This finding indicates that the majority of users consider this application to be quite effective and worth using. Performance testing using Apptim resulted in an average response time of 2.4 seconds, CPU usage of 18%, memory usage of 170MB, and no errors (error rate 0%), indicating that the application is quite stable and runs well on user devices. It is hoped that this research can be the basis for further development of the SIGNAL application, especially in improving service aspects and overall system efficiency.
Co-Authors Febriandirza, Arafat Hussain, Azham Rahma Fitria, Rahma Yulisda, Desvina