Implementation of EDS Monitoring System with Key Performance Indicators (KPI) Website

Roslina Roslina (1), Bakti Viyata Sundawa (2), Afritha Amelia (3), Suprianto Suprianto (4), Mardiana mardiana (5)
(1) Computer Engineering and Informatics Department, Politeknik Negeri Medan, North Sumatra, Indonesia
(2) Electrical Engineering Department, Politeknik Negeri Medan, North Sumatra, Indonesia
(3) Electrical Engineering Department, Politeknik Negeri Medan, North Sumatra, Indonesia
(4) Electrical Engineering Department, Politeknik Negeri Medan, North Sumatra, Indonesia
(5) Electrical Engineering Department, Politeknik Negeri Medan, North Sumatra, Indonesia
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R. Roslina, B. V. Sundawa, A. Amelia, S. Suprianto, and M. mardiana, “Implementation of EDS Monitoring System with Key Performance Indicators (KPI) Website”, Int. J. Adv. Sci. Eng. Inf. Technol., vol. 15, no. 3, pp. 872–877, Jun. 2025.
The purpose of the study is providing a description and explanation of Key Performance Indicators (KPI) website for monitoring application. It starts from reading data according to sensor sections and next to show the results in the form of graphics. It can be accessed by the internet. Rapid technological developments are indirectly forcing research interests to adapt to respond to various things in analytics, including how the user can implement monitoring and evaluation strategies using technology such as KPI website. KPI website is an example of the implementation of a digital performance index monitoring which is done on Environmental Detector System (EDS) Application. The EDS can remotely detect and monitor the environmental parameters such as carbon dioxide (CO2) levels, noise levels, light intensity, air temperature, relative humidity, and dust particle density in real-time via the internet. This study highlights the microthings as the KPI website in measuring the environmental parameters. Microthings can affect accurate of displaying data. The study was conducted with objective of providing an efficient perspective in measuring the performance of the EDS through a statistical analysis. Next, the result was analyzed of performance in speed and accuracy. Speed of page loading is fast because the information collected input in text format, specifically the capacity in bytes. Based on loading processing of visual graphics and analysis, the page weight is measured in kilobytes.

D. P. McArthur and J. Hong, "Are slow internet connections limiting home working opportunities?," Travel Behav. Soc., vol. 33, 2023, doi:10.1016/j.tbs.2023.100629.

F. P. Tupas et al., "Gadgets and connectivity - A trend in new normal: Saving education system during pandemic," J. Educ. Soc. Res., vol. 13, no. 1, 2023, doi: 10.36941/jesr-2023-0024.

I. M. G. Vidal, "Architectures of contemporary digital platforms in education: Analysis of exclusion processes," Univers. Access Inf. Soc., vol. 22, no. 4, 2023, doi: 10.1007/s10209-022-00887-7.

E. I. Salganova, S. S. Bredikhin, and E. V. Shchetinina, "Media and information literacy of young students in the post-truth era," Galact. Media J. Media Stud., vol. 5, no. 3, 2023, doi: 10.46539/gmd.v5i3.342.

L.-M. Pantilimon and T. Tasențe, "Features of online communication of corporations and the main methods of brand analysis," Ars Aequi, vol. 12, 2023, doi: 10.47577/10.1234/arsaequi.12.1.229.

K. Król and W. Sroka, "Internet in the middle of nowhere: Performance of geoportals in rural areas according to core web vitals," ISPRS Int. J. Geo-Information, vol. 12, no. 12, 2023, doi:10.3390/ijgi12120484.

A. Siddika and M. M. A. Bhuiyan, "Methodological analysis of KPIs to evaluate contractor performance of the construction project," in Lecture Notes in Civil Engineering, 2024, doi: 10.1007/978-3-031-35471-7_47.

A. K. Nisa, E. Suherman, and F. P. Anggela, "Analysis of employee performance evaluated based on key performance indicators (KPI) and human resources scorecard (HRSC) PT Fastana Logistik Indonesia Divisi Transport," Inovasi, vol. 10, no. 2, 2023, doi:10.32493/inovasi.v10i2.p353-364.36115.

A. M. Dagostin, B. C. S. Pacheco, C. L. Piratelli, and V. M. H. de M. Costa, "Identification and prioritization of performance for trade decisions indicators: An application of value focused thinking and analytic network process," Gest. e Prod., vol. 30, 2023, doi:10.1590/1806-9649-2023v30e6122.

R. R. Chakravarthi et al., "A proficient technique for recognizing the online digital signature in project registration system (PRS)," Soft Comput., vol. 27, no. 3, 2023, doi: 10.1007/s00500-022-07071-2.

I. Koravand, M. R. Lotfi, and S. A. Shayannia, "Providing an expert system to manage energy consumption in small- and medium-sized industries using soft computing," Complexity, vol. 2022, 2022, doi:10.1155/2022/1996637.

T. Sui et al., "Mining KPI correlations for non-parametric anomaly diagnosis in wireless networks," Sci. China Inf. Sci., vol. 66, no. 6, 2023, doi: 10.1007/s11432-021-3522-0.

L. Wang et al., "A correlation analysis-based mobile core network KPI anomaly detection method via ensemble learning," in Commun. Comput. Inf. Sci., 2023, doi: 10.1007/978-981-19-9697-9_39.

Z. D. Fanni et al., "Testing an innovative approach to smartphone sensor-based technology for verification of effectiveness of home exercise," Orv. Hetil., vol. 165, no. 7, 2024, doi:10.1556/650.2024.32974.

M. Lubis et al., "Optimization of personal website: Solution for learning in the new normal era," in J. Phys., Conf. Ser., vol. 1779, 2021, doi: 10.1088/1742-6596/1779/1/012040.

Y. Zhu et al., "The interactive effects of extrinsic and intrinsic motivations on service recovery performance in the hospitality industry: The mediating role of self-efficacy," Tour. Manag. Stud., vol. 19, no. 3, 2023, doi: 10.18089/tms.2023.190301.

S. J. Raka and D. B. Setyohadi, "Measuring user satisfaction in website usability by considering stress level," Int. J. Informatics Vis., vol. 5, no. 3, 2021, doi: 10.30630/joiv.5.3.512.

Q. Liu and K. Kim, "Research on the usability test of interface design in e-government - Focused on Qingdao e-government website," Arch. Des. Res., vol. 36, no. 1, 2023, doi: 10.15187/adr.2023.02.36.1.59.

R. Xie, "Research on ecological evaluation of an enterprise open innovation community website," Bus. Process Manag. J., vol. 29, no. 7, 2023, doi: 10.1108/bpmj-03-2023-0179.

J. Galindo-Losada et al., "WYDISWYG: A method to design user interfaces combining design principles and quality factors," Electron., vol. 12, no. 13, 2023, doi: 10.3390/electronics12132772.

S. Pandey and S. Lahoti, "Improve firefly heuristic optimization scheme for web based information retrieval," in Proc. IEEE Int. Conf. Integr. Circuits Commun. Syst. (ICICACS), 2023, doi:10.1109/icicacs57338.2023.10100016.

F. Zhang, "Research on Google's latest algorithm rules and application strategies," Acad. J. Sci. Technol., vol. 9, no. 2, 2024, doi:10.54097/bv25t069.

B. J. Jansen et al., Web and Social Media Analytics Strategy. Cham, Switzerland: Springer, 2024. doi: 10.1007/978-3-031-41933-1_3.

R. A. Gangurde, "Web page prediction using adaptive deer hunting with chicken swarm optimization based neural network model," Int. J. Model., Simul., Sci. Comput., vol. 13, no. 6, 2022, doi:10.1142/S1793962322500647.

I. Indrianto, "Performance testing on web information system using Apache JMeter and BlazeMeter," J. Ilm. Ilmu Terap. Univ. Jambi, vol. 7, no. 2, 2023, doi: 10.22437/jiituj.v7i2.28440.

S. B. Uzayr, Web Performance Optimization: A Practical Approach. Boca Raton, FL, USA: CRC Press, 2022. doi:10.1201/9781003203735.

D. A. J. Daniel and M. J. Meena, "Deep learning-based hybrid sentiment analysis with feature selection using optimization algorithm," Multimed. Tools Appl., vol. 82, no. 28, 2023, doi:10.1007/s11042-023-14767-6.

Y. Li et al., "Computation rate maximization for wireless-powered edge computing with multi-user cooperation," IEEE Open J. Commun. Soc., vol. 5, 2024, doi: 10.1109/ojcoms.2024.3358064.

Y. Lu and J. Zhao, "Reconfigurable intelligent surface aided wireless powered mobile edge computing," in Proc. IEEE Consum. Commun. Netw. Conf. (CCNC), 2023, doi: 10.1109/ccnc51644.2023.10059797.

M. A. A. Dalbouh, "Features of the development of search optimization in the strategy of electronic marketing," in E3S Web Conf., vol. 419, 2023, doi: 10.1051/e3sconf/202341902020.

S. Sarafrazi et al., "Enhancing search engine optimization in healthcare and clinical domains with natural language processing and graph techniques," in Commun. Comput. Inf. Sci., 2024, doi: 10.1007/978-3-031-52216-1_1.

T. Antipova, "Public universities' performance evaluation," in Adv. Intell. Syst. Comput., vol. 1258, 2021, doi: 10.1007/978-3-030-71782-7_12.

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