Implementasi Dashboard Real-Time Untuk Memantau Proses Pendaftaran Webinar Berbasis Website
Abstract
This research aims to develop a web-based information system with an analytical dashboard to improve business process efficiency and campaign evaluation. The research method employs the Waterfall model. The system is developed with a centralized database and is equipped with a data visualization dashboard using Microsoft Power BI, divided into Revenue and Activity pages. The implementation results in a functional website for webinar registration integrated with the database. Alpha and beta testing shows that the system operates according to expected functionality, has an easy-to-understand interface, and assists the registration and monitoring processes. Based on data from 20 user respondents, this registration website system has successfully achieved a very high level of acceptance and satisfaction. An overwhelming majority of respondents (90% to 100%) rated the website as responsive, fast, very helpful, easy to understand, and providing a good impression. Although there is slight room for improvement in operational ease (with 35% stating it is not difficult, while the remainder were possibly neutral or disagreed), the overall survey results prove that this system functions very effectively as a decision-support tool for management, as well as a successful and positive medium for interaction with prospective registrants. It is concluded that this system has successfully become an effective decision-support tool for management through periodic reporting.
Downloads
References
R. Y. Sifa, “Visualisasi Data Pengunjung Dan Peminjaman Buku Di Perpustakaan Daerah Menggunakan Power Bi,” J. Sist. Inf., vol. 2, no. 3, pp. 142–151, 2024.
K. Steven, S. Hariyanto, R. Arijanto, and A. H. Wijaya, “Penerapan Business Intelligence Untuk Menganalisis Data Pada Pt. Suryaplas Intitama Menggunakan Microsoft Power Bi,” Algor, vol. 2, no. 2, pp. 41–50, 2021, doi: 10.31253/algor.v2i2.550.
A. Fahri and Y. Ramdhani, “Visualisasi Data dan Penerapan Machine Learning Menggunakan Decision Tree Untuk Keputusan Layanan Kesehatan COVID-19,” J. Tekno Kompak, vol. 17, no. 2, p. 50, 2023, doi: 10.33365/jtk.v17i2.2438.
N. W. P. Birra Lailatul Nafiisa and Qurratu Ayunin, “Dashboard Visualisasi Data UMK Sebagai Alat Pengambilan Keputusan Menggunakan Microsoft Power BI,” Akunt. dan Manaj., vol. 17, no. 2, pp. 86–105, 2022, doi: 10.30630/jam.v17i2.199.
A. Prasta and Z. Halim, “Rancang Bangun Sistem Informasi Pengelolaan Data Pegawai Menggunakan Geolocation Berbasis Website,” vol. 4, no. 3, pp. 1819–1828, 2023, doi: 10.30865/klik.v4i3.1535.
A. S. Sutresna and E. H. Saputro, “Strategi Pemasaran Sosial Indorelawan Untuk Meningkatkan Minat Menjadi Relawan Dalam Kampanye €Œtemali Projectâ€,” Dialekt. KOMUNIKA J. Kaji. Komun. dan Pembang. Drh., vol. 11, no. 1, pp. 109–124, 2023, doi: 10.33592/dk.v11i1.3483.
H. Adityawarman et al., “Implementasi Sistem Informasi Penjualan Coffee Shop Berbasis Web dengan Fitur Visualisasi Data,” Semnas Ristek (Seminar Nas. Ris. dan Inov. Teknol., vol. 9, no. 1, pp. 391–397, 2025, doi: 10.30998/semnasristek.v9i1.7951.
S. Bu, S. F. L. Zagoto, and B. Laia, “PERAN GURU BIMBINGAN DAN KONSELING DALAM MENCEGAH BULLYING DI SMA NEGERI 1 AMANDRAYA TAHUN PELAJARAN 2020 / 2021,” vol. 2, no. 1, 2022.
M. K. Adesyahputra, R. Febrianto, M. N. K. Wibowo, and T. Handayani, “Visualisasi Data Lokasi Rawan Bencana Di Jawa Tengah Menggunakan Power Bi,” J. Softw. Eng. Inf. Syst., vol. 4, no. 1, pp. 10–15, 2021, doi: 10.37859/seis.v4i1.6619.
A. Dasar, M. Analisis, D. Dan, and Z. Afif, “Penelitian Ilmiah ( Kuantitatif ) Beserta Paradigma , Pendekatan ,” vol. 3, pp. 682–693, 2023.
F. Sabila Rosyad, F. Nurhidayat, W. Jannah, E. Irwanda, and R. Wisnu Prio Pamungkas, “Pengembangan Website Undangan Digital Multi-Platform: Solusi Praktis untuk Era Digital,” Dinasti Inf. Technol., vol. 2, no. 3, pp. 113–121, 2025, doi: 10.38035/dit.v2i3.1321.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi Dashboard Real-Time Untuk Memantau Proses Pendaftaran Webinar Berbasis Website
Pages: 481-488
Copyright (c) 2026 Adji Prasetyo, Zuhri Halim

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).






















