Pengembangan Early Warning System Dengan Smtpclient Untuk Meningkatkan Kinerja Manajemen Data Akreditasi Di PTS Y
Abstract
Early Warning System (EWS) adalah mekanisme untuk memberikan pemberitahuan dini tentang masalah yang dapat memengaruhi suatu sistem. Penelitian ini menerapkan EWS untuk memberikan notifikasi terkait masalah akreditasi program studi di perguruan tinggi swasta Y, yang saat ini belum memiliki sistem serupa. EWS penting dalam manajemen data akreditasi, memastikan pendidikan sesuai standar. Dengan adanya EWS, tindakan proaktif dapat diambil untuk mencegah penurunan kuantitas data yang tidak memenuhi key performance indicators (KPI). Metode yang digunakan dalam penelitian ini meliputi pengumpulan data melalui wawancara dan penerapan Scrum yang diselaraskan dengan PMBOK. Implementasi dilakukan menggunakan SmtpClient dalam VB.NET dan ASP.NET, serta akses database melalui SQL Server Management Studio (SSMS) 18. Hasil pengujian menunjukkan bahwa sistem berhasil memberikan notifikasi terkait penurunan data. Kesimpulannya, penggunaan SmtpClient mempermudah pengembangan aplikasi berbasis web dan pengiriman pesan notifikasi EWS melalui email, mendukung pengelolaan akreditasi di perguruan tinggi. Kata Kunci: early warning system, SmtpClient, PMBOK, akreditasi, perguruan tinggi
References
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Badan Akreditasi Nasional Perguruan Tinggi. (2023). KEBIJAKAN PENYUSUNAN INSTRUMEN AKREDITASI. https://www.banpt.or.id/wp-content/uploads/2023/10/Lampiran-PerBAN-PT-14-2023-Kebijakan-Penyusunan-Instrumen-Akreditasi-FINAL.pdf.
BAN-PT. (2022). Press-Release-BAN-PT-dan-5-LAM-baru. https://www.banpt.or.id/wp-content/uploads/2021/12/Press-Release-BAN-PT-dan-5-LAM-baru.pdf.
Budiman, R., Raharjo, T., & Suhanto, A. (2022). Scrum Project Management Challenges and Solutions: Systematic Literature Review. 2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED), 1–6. https://doi.org/10.1109/ICCED56140.2022.10010471
Deng, Z., Huang, M., Wan, N., & Zhang, J. (2023). The Current Development of Structural Health Monitoring for Bridges: A Review. Dalam Buildings (Vol. 13, Nomor 6). MDPI. https://doi.org/10.3390/buildings13061360
Direktorat Jenderal Pendidikan Tinggi, R. dan T. (2022, Januari 3). Peralihan Akreditasi Program Studi dari BAN-PT kepada Lima Lembaga Akreditasi Mandiri (LAM) Baru. https://dikti.kemdikbud.go.id/kabar-dikti/kabar/peralihan-akreditasi-program-studi-dari-ban-pt-kepada-lima-lembaga-akreditasi-mandiri-lam-baru/.
Donnelly, J., Daneshkhah, A., & Abolfathi, S. (2024). Forecasting global climate drivers using Gaussian processes and convolutional autoencoders. Engineering Applications of Artificial Intelligence, 128. https://doi.org/10.1016/j.engappai.2023.107536
Döringer, S. (2021). ‘The problem-centred expert interview’. Combining qualitative interviewing approaches for investigating implicit expert knowledge. International Journal of Social Research Methodology, 24(3), 265–278. https://doi.org/10.1080/13645579.2020.1766777
Fernandes, J. O., & Singh, B. (2022). Accreditation and ranking of higher education institutions (HEIs): review, observations and recommendations for the Indian higher education system. TQM Journal, 34(5), 1013–1038. https://doi.org/10.1108/TQM-04-2021-0115
Guide to the project management body of knowledge (PMBOK guide). (2021). Project Management Institute, Inc.
Jun Wang Mao Li, M. M., & Skitmore, M. (2024). Forecasting financial distress in listed Chinese construction firms: leveraging ensemble learning and non-financial variables. Construction Management and Economics, 0(0), 1–21. https://doi.org/10.1080/01446193.2024.2403553
Kemidikbud. (2024, Oktober 17). PENDIDIKAN TINGGI (DIKTI). https://referensi.data.kemdikbud.go.id/pustaka/dikti.
La Rosa, G., Mancini, P., Bonanno Ferraro, G., Veneri, C., Iaconelli, M., Bonadonna, L., Lucentini, L., & Suffredini, E. (2021). SARS-CoV-2 has been circulating in northern Italy since December 2019: Evidence from environmental monitoring. Science of the Total Environment, 750. https://doi.org/10.1016/j.scitotenv.2020.141711
Li, S., Zhang, C., Du, J., Cong, X., Zhang, L., Jiang, Y., & Wang, L. (2022). Fault diagnosis for lithium-ion batteries in electric vehicles based on signal decomposition and two-dimensional feature clustering. Green Energy and Intelligent Transportation, 1(1). https://doi.org/10.1016/j.geits.2022.100009
Li, X., Wang, J., & Yang, C. (2023). Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy. Neural Computing and Applications, 35(3), 2045–2058. https://doi.org/10.1007/s00521-022-07377-0
McBride, S. K., Smith, H., Morgoch, M., Sumy, D., Jenkins, M., Peek, L., Bostrom, A., Baldwin, D., Reddy, E., De Groot, R., Becker, J., Johnston, D., & Wood, M. (2022). Evidence-based guidelines for protective actions and earthquake early warning systems. Dalam Geophysics (Vol. 87, Nomor 1, hlm. WA77–WA102). Society of Exploration Geophysicists. https://doi.org/10.1190/geo2021-0222.1
Meckawy, R., Stuckler, D., Mehta, A., Al-Ahdal, T., & Doebbeling, B. N. (2022). Effectiveness of early warning systems in the detection of infectious diseases outbreaks: a systematic review. BMC Public Health, 22(1). https://doi.org/10.1186/s12889-022-14625-4
Miñano Corro, I. D., Sanchez Peralta, W. C., Orbegoso Moreno, L. A., Ruiz Rodriguez, J. L., Pasco Sanchez, J. M., & Valverde Ramirez, E. D. (2023). Geolocation and Virtual Reality to Streamline the Management of Hydrographic Basins of the Regional Agriculture Management of La Libertad - Peru. 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 1–6. https://doi.org/10.1109/ISMSIT58785.2023.10304935
Mishra, A., & Alzoubi, Y. I. (2023). Structured software development versus agile software development: a comparative analysis. International Journal of System Assurance Engineering and Management, 14(4), 1504–1522. https://doi.org/10.1007/s13198-023-01958-5
Pampana, S., Shah, L., Chakar Khan Rind University, M., Fabio Orlandi, P., Habib-ur-Rahman mhabibur, M., Alharby, H. F., Sabagh, A. EL, Sabagh, E. A., Copyright, fpls, Sabagh, E., Habib-ur-Rahman, M., Ahmad, A., Raza, A., Usama Hasnain, M., Alzahrani, Y. M., Bamagoos, A. A., Rehman Hakeem, K., Ahmad, S., Nasim, W., … Mansour, F. (t.t.). OPEN ACCESS EDITED BY Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia. Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia. https://cdiac.ess-dive.lbl.gov/home.html.
Rikie Lam, T., Trinawarman, D., & Hugeng. (2023). Rice planting decision support system using the fuzzy simple additive weighting (SAW) method. ijaste, 1(2), 440–445.
Roy, P., Pal, S. C., Chakrabortty, R., Chowdhuri, I., Saha, A., & Shit, M. (2022). Climate change and groundwater overdraft impacts on agricultural drought in India: Vulnerability assessment, food security measures and policy recommendation. Science of The Total Environment, 849, 157850. https://doi.org/10.1016/J.SCITOTENV.2022.157850
Sahiner, M. (2024). Volatility Spillovers and Contagion During Major Crises: An Early Warning Approach Based on a Deep Learning Model. Computational Economics, 63(6), 2435–2499. https://doi.org/10.1007/s10614-023-10412-4
Shah, S., Gwee, S. X. W., Ng, J. Q. X., Lau, N., Koh, J., & Pang, J. (2022). Wastewater surveillance to infer COVID-19 transmission: A systematic review. Dalam Science of the Total Environment (Vol. 804). Elsevier B.V. https://doi.org/10.1016/j.scitotenv.2021.150060
Shay, W. (2003). Standards and Protocols in Data Communications. Dalam H. Bidgoli (Ed.), Encyclopedia of Information Systems (hlm. 205–226). Elsevier. https://doi.org/https://doi.org/10.1016/B0-12-227240-4/00168-4
Tji Beng, J., Tiatri, S., Lusiana, F., & Wangi, V. H. (2020). Intensity of Gadgets Usage for Achieving Prime Social and Cognitive Health of Adolescents During the COVID-19 Pandemic.
Walliman, N. (2010). Research Methods The Basics -Nicholas Walliman.
Wilhelm, T. (2013). Professional Penetration Testing: Creating and Learning in a Hacking Lab. https://doi.org/10.1016/B978-0-12-375067-9.09978-2
Ye, C., Wang, O., Liu, M., Zheng, L., Xia, M., Hao, S., Jin, B., Jin, H., Zhu, C., JungHuang, C., Gao, P., Ellrodt, G., Brennan, D., Stearns, F., Sylvester, K. G., Widen, E., McElhinney, D. B., & Ling, X. (2019). A real-time early warning system for monitoring inpatient mortality risk: Prospective study using electronic medical record data. Journal of Medical Internet Research, 21(7). https://doi.org/10.2196/13719
Published
2024-11-13
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Copyright (c) 2024 Jap Tji Beng, Tifani Anasya Putri, Octarifa Angela, Sekar Aurannisa Ramdhani Qadriah, Dedi Trisnawarman
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