Development of a Digital Academic Dashboard for Data Analysis and New Student Admission Strategy at SMKS Al-Mujtama' Pamekasan
Keywords:
Business Intelligence, Data-Driven Decision Making, CDIO, Academic Dashboard, Deep Learning, SMKS Al-Mujtama’ PamekasanAbstract
This internship project was carried out at SMKS Al-Mujtama' Pamekasan with the aim of designing and developing a Business Intelligence (BI) system that functions to analyze academic data and support strategies for accepting new students. This system is designed to process and display academic data in the form of interactive visualizations, so that the school can make data-driven decisions (Data-Driven Decision Making - DDDM) more effectively. This research uses the CDIO (Conceive–Design–Implement–Operate) framework with a quantitative descriptive approach, focusing on the processing of numerical data such as student academic grades, prospective students' regional origins, and parental backgrounds. Data was collected through observation and documentation of the school's academic database, then analyzed using a BI-based before-and-after analysis approach. The final result of this activity is a web-based Business Intelligence dashboard that can display academic information in real-time, including student performance graphs, maps of applicant distribution, and analysis of parental characteristics. The implementation of this BI system has proven to make a positive contribution to the school in strategic decision-making, especially in promotional activities and the selection of new students.
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REFERENSI
[1] F. Manoppo et al., “Desain Sistem Kendali Listrik Jarak Jauh Berbasis Internet of Things,” J. Tek. Inform., vol. 18, no. 4, pp. 165–172, 2023, doi: 10.35793/jti.v18i4.48114.
[2] F. P. Eka Putra, A. Muzayyin, and M. U. Mansyur, “ANALISIS KUALITAS LAYANAN ABSENSI BERBASIS FINGER BERDASARKAN Quality of Service,” J. Inform., vol. 24, no. 1, pp. 17–25, 2024, doi: 10.30873/ji.v24i1.3949.
[3] F. P. Eka Putra, M. N. Arifin, K. Zulfana Imam, E. Saputra, and Sofiyullah, “Pengembangan Sistem Informasi Laboratorium Terintegerasi Sistem Akademik Menggunakan Agile Scrum,” J. Inf. dan Teknol., pp. 109–119, 2023, doi: 10.37034/jidt.v5i2.367.
[4] R. Shiromani, V. Shanthi, and P. Das, “A higher order hybrid-numerical approximation for a class of singularly perturbed two-dimensional convection-diffusion elliptic problem with non-smooth convection and source terms,” Comput. Math. with Appl., vol. 142, pp. 9–30, 2023, doi: 10.1016/j.camwa.2023.04.004.
[5] F. Prasetyo Eka Putra, S. R. Sutarsih, S. Sofiyulloh, P. Permana, and M. Umar Mansyur, “Optimalisasi Perancangan Aplikasi Manajemen Data Koloman, Di Desa Pulau Mandangin Sampang – Madura Berbasis Website,” Rabit J. Teknol. dan Sist. Inf. Univrab, vol. 9, no. 2, pp. 285–294, 2024, doi: 10.36341/rabit.v9i2.4840.
[6] M. Gopalan and S. T. Brady, “College Students’ Sense of Belonging: A National Perspective,” Educ. Res., vol. 49, no. 2, pp. 134–137, 2020, doi: 10.3102/0013189X19897622.
[7] R. Maertens et al., “Discovering and exploring cases of educational source code plagiarism with Dolos,” SoftwareX, vol. 26, 2024, doi: 10.1016/j.softx.2024.101755.
[8] L. Xia, D. T. Semirumi, and R. Rezaei, “A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy,” Sustain. Cities Soc., vol. 98, 2023, doi: 10.1016/j.scs.2023.104771.
[9] A. Remus, S. D’Avella, F. Di Felice, P. Tripicchio, and C. A. Avizzano, “i2c-net: Using Instance-Level Neural Networks for Monocular Category-Level 6D Pose Estimation,” IEEE Robot. Autom. Lett., vol. 8, no. 3, pp. 1515–1522, 2023, doi: 10.1109/LRA.2023.3240362.
[10] F. P. E. Putra, F. Fauzan, S. Syirofi, M. Mursidi, D. Wahid, and A. Nuraini, “Sistem Pengendali Lingkungan Pertanian Dengan Wireless Sensor Network Untuk Mengoptimalkan Budidaya Hidroponik,” 2024. doi: 10.47709/digitech.v3i2.3461.
[11] M. R. Munaro, S. F. Tavares, and L. Bragança, “Towards circular and more sustainable buildings: A systematic literature review on the circular economy in the built environment,” 2020. doi: 10.1016/j.jclepro.2020.121134.
[12] F. P. Eka Putra, F. Muslim, N. Hasanah, Holipah, R. Paradina, and R. Alim, “Analisis Komparasi Protokol Websocket dan MQTT Dalam Proses Push Notification,” J. Sistim Inf. dan Teknol., pp. 63–72, 2024, doi: 10.60083/jsisfotek.v5i4.325.
[13] J. Yao, B. Zhang, C. Li, D. Hong, and J. Chanussot, “Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework,” IEEE Trans. Geosci. Remote Sens., vol. 61, 2023, doi: 10.1109/TGRS.2023.3284671.
[14] F. P. E. Putra, D. A. M. Putra, A. Firdaus, and A. Hamzah, “Analisis Kecepatan Dan Kinerja Jaringan 5G (generasi ke 5) Pada Wilayah Perkotaan,” INFORMATICS Educ. Prof. J. Informatics, vol. 8, no. 1, p. 47, 2023, doi: 10.51211/itbi.v8i1.2439.
[15] A. A. Smith, R. Li, and Z. T. H. Tse, “Reshaping healthcare with wearable biosensors,” Sci. Rep., vol. 13, no. 1, 2023, doi: 10.1038/s41598-022-26951-z.
[16] J. Gui, Z. Sun, Y. Wen, D. Tao, and J. Ye, “A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications,” IEEE Trans. Knowl. Data Eng., vol. 35, no. 4, pp. 3313–3332, 2023, doi: 10.1109/TKDE.2021.3130191.
[17] F. P. Eka Putra, A. Baidawi, A. A. Mubarok, and Frediyanto, “Merancang Jaringan Sensor Nirkabel dan IoT untuk Kota Pintar Pamekasan,” J. Inf. dan Teknol., vol. 5, no. 2, pp. 138–145, 2023, doi: 10.37034/jidt.v5i2.331.
[18] F. P. Eka Putra, M. N. Arifin, K. Zulfana Imam, E. Saputra, and Sofiyullah, “Pengembangan Sistem Informasi Laboratorium Terintegerasi Sistem Akademik Menggunakan Agile Scrum,” J. Inf. dan Teknol., pp. 109–119, 2023, doi: 10.37034/jidt.v5i2.367.
[19] H. Allioui and Y. Mourdi, “Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey,” 2023. doi: 10.3390/s23198015.
[20] L. Ma and B. Sun, “Machine learning and AI in marketing – Connecting computing power to human insights,” Int. J. Res. Mark., vol. 37, no. 3, pp. 481–504, 2020, doi: 10.1016/j.ijresmar.2020.04.005.
[21] J. Naskath, G. Sivakamasundari, and A. A. S. Begum, “A Study on Different Deep Learning Algorithms Used in Deep Neural Nets: MLP SOM and DBN,” Wirel. Pers. Commun., vol. 128, no. 4, pp. 2913–2936, 2023, doi: 10.1007/s11277-022-10079-4.
[22] P. N. Silva, “Open Data Observatory in Brazil: An Academic Initiative,” J. Librariansh. Sch. Commun., vol. 12, no. 2, 2025, doi: 10.31274/jlsc.18312.
[23] M. Mittal and N. G. Raheja, Data Visualization and Storytelling with Tableau. 2024. doi: 10.1201/9781003429593.
[24] A. Jahid, M. H. Alsharif, and T. J. Hall, “The convergence of blockchain, IoT and 6G: Potential, opportunities, challenges and research roadmap,” 2023. doi: 10.1016/j.jnca.2023.103677.
[25] D. Rolnick et al., “Tackling Climate Change with Machine Learning,” 2023. doi: 10.1145/3485128.
[26] M. Rami Reddy, M. L. Ravi Chandra, P. Venkatramana, and R. Dilli, “Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm,” Computers, vol. 12, no. 2, 2023, doi: 10.3390/computers12020035.
[27] N. Singh, S. Birla, M. D. Ansari, and N. K. Shukla, Intelligent Techniques for Predictive Data Analytics. 2024. doi: 10.1002/9781394227990.
[28] I. U. Jan, S. Ji, and C. Kim, “What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective,” J. Retail. Consum. Serv., vol. 75, 2023, doi: 10.1016/j.jretconser.2023.103440.
[29] D. Said, “A Survey on Information Communication Technologies in Modern Demand-Side Management for Smart Grids: Challenges, Solutions, and Opportunities,” IEEE Eng. Manag. Rev., vol. 51, no. 1, pp. 76–107, 2023, doi: 10.1109/EMR.2022.3186154.
[30] J. Anderson, M. Joshi, and S. K. Williams, “Baca Beverage Distributors: surviving the great attrition,” CASE J., vol. 20, no. 3, pp. 604–633, 2024, doi: 10.1108/TCJ-04-2023-0056.
[31] P. V. Thayyib et al., “State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary,” 2023. doi: 10.3390/su15054026.
[32] A. Ghadge, H. Wurtmann, and S. Seuring, “Managing climate change risks in global supply chains: a review and research agenda,” 2020. doi: 10.1080/00207543.2019.1629670.
[33] H. Taherdoost and M. Madanchian, “Artificial Intelligence and Sentiment Analysis: A Review in Competitive Research,” 2023. doi: 10.3390/computers12020037.
[34] F. Ullah and F. Al-Turjman, “A conceptual framework for blockchain smart contract adoption to manage real estate deals in smart cities,” Neural Comput. Appl., vol. 35, no. 7, pp. 5033–5054, 2023, doi: 10.1007/s00521-021-05800-6.
[35] M. A. Perkins and J. W. Carrier, “Protocol for programing a degree-to-careers dashboard in R using Posit and Shiny,” STAR Protoc., vol. 5, no. 1, 2024, doi: 10.1016/j.xpro.2024.102902.
[36] M. J. K. Osterman, B. E. Hamilton, J. A. Martin, A. K. Driscoll, and C. P. Valenzuela, “Births: Final Data for 2021,” Natl. Vital Stat. Reports, vol. 72, no. 1, pp. 1–52, 2023, doi: 10.15620/cdc:122047.
[37] Y. Shi, Y. Zhou, D. Wen, Y. Wu, C. Jiang, and K. B. Letaief, “Task-Oriented Communications for 6G: Vision, Principles, and Technologies,” IEEE Wirel. Commun., vol. 30, no. 3, pp. 78–85, 2023, doi: 10.1109/MWC.002.2200468.
[38] V. Nasir and F. Sassani, “A review on deep learning in machining and tool monitoring: methods, opportunities, and challenges,” 2021. doi: 10.1007/s00170-021-07325-7.
[39] M. A. Khan, A. M. Saleh, M. Waseem, and I. A. Sajjad, “Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment,” 2023. doi: 10.1109/ACCESS.2022.3231444.
[40] H. Bachtiar, P. Boy Zulian, Y. Rohmat Yanuri, and Y. Fathur Rozy, “JARINGAN INTELEKTUAL MUDA MUHAMMADIYAH (JIMM) AND THE IDEOLOGY OF PROGRESSIVE ISLAM Construction, Genealogy, and Current Development,” J. Indones. Islam, vol. 18, no. 2, pp. 427–453, 2024, doi: 10.15642/JIIS.2024.18.2.427-453.
[41] L. Huang, B. Li, B. Wang, and J. Zhang, “Effects of coal bedding dip angle on hydraulic fracturing crack propagation,” Geomech. Geophys. Geo-Energy Geo-Resources, vol. 9, no. 1, 2023, doi: 10.1007/s40948-023-00562-y.
[42] L. T. Car et al., “Conversational agents in health care: Scoping review and conceptual analysis,” 2020. doi: 10.2196/17158.
[43] J. A. S. Moser et al., “Resident clinical dashboards to support precision education in emergency medicine,” AEM Educ. Train., vol. 9, no. S1, pp. S29–S39, 2025, doi: 10.1002/aet2.70020.
[44] P. Ballantyne and A. Singleton, “Using composite indicators and city dashboards to promote place-based policy interventions,” Cities, vol. 154, 2024, doi: 10.1016/j.cities.2024.105329.
[45] P. De Giovanni, “Sustainability of the Metaverse: A Transition to Industry 5.0,” Sustain., vol. 15, no. 7, 2023, doi: 10.3390/su15076079.
[46] G. Krummrey, T. C. Sauter, W. E. Hautz, M. Muller, and D. L. B. Schwappach, “Risk factors for wrong-patient medication orders in the emergency department,” JAMIA Open, vol. 7, no. 4, 2024, doi: 10.1093/jamiaopen/ooae103.
[47] S. Prayogo, M. B. Hidayanto, and M. Lubis, “Business Intelligence in e-learning for Higher Education,” 2023. doi: 10.1145/3617733.3617768.
[48] H. Al Naqbi, Z. Bahroun, and V. Ahmed, “Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review,” 2024. doi: 10.3390/su16031166.
[49] M. M. Moein, A. Saradar, K. Rahmati, Y. Rezakhani, S. A. Ashkan, and M. Karakouzian, “Reliability analysis and experimental investigation of impact resistance of concrete reinforced with polyolefin fiber in different shapes, lengths, and doses,” J. Build. Eng., vol. 69, 2023, doi: 10.1016/j.jobe.2023.106262.
[50] N. K. Obiora, C. O. Ujah, C. O. Asadu, F. O. Kolawole, and B. N. Ekwueme, “Production of hydrogen energy from biomass: Prospects and challenges,” 2024. doi: 10.1016/j.grets.2024.100100.
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