Sistem Informasi Notifikasi Monitoring Status Perangkat BTS dan Client Serta Datacenter pada ISP PT. Acehlink Media

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Adi Ahmad

STMIK Indonesia Banda Aceh

Safrizal

STMIK Indonesia Banda Aceh

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Ahmad, A., & Safrizal. (2024). Sistem Informasi Notifikasi Monitoring Status Perangkat BTS dan Client Serta Datacenter pada ISP PT. Acehlink Media. Jurnal Ilmu Komputer Dan Teknologi Informasi, 1(2), 1-12. https://doi.org/10.35870/jikti.v1i2.1062
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Adi Ahmad, STMIK Indonesia Banda Aceh

Program Studi Manajemen Informatika, STMIK Indonesia Banda, Kota Banda Aceh, Provinsi Aceh, Indonesia.

Safrizal, STMIK Indonesia Banda Aceh

Program Studi Manajemen Informatika, STMIK Indonesia Banda, Kota Banda Aceh, Provinsi Aceh, Indonesia.

References

Mehrotra, A. and Musolesi, M. (2017). Intelligent notification systems: a survey of the state of the art and research challenges.. https://doi.org/10.48550/arxiv.1711.10171
Saptoto, R., DP, B., Andriyani, W., & Kartadie, R. (2022). Analysis of determining the types of wireless bts devices using the dude implementation and telegram notifications on internet services provider xyz. Journal of Intelligent Software Systems, 1(1), 14. https://doi.org/10.26798/jiss.v1i1.603
Allali, N., Chaouch, Z., & Tamali, M. (2019). Dashboard of intelligent transportation system (its) using mobile agents strategy on notification authentication process. International Journal of Electrical and Computer Engineering (Ijece), 9(1), 621. https://doi.org/10.11591/ijece.v9i1.pp621-628
Heryati, A., Yulianti, E., Faradillah, F., Sartika, D., Dhamayanti, D., Saluza, I., … & Sanmorino, A. (2019). The design of smart notification on android gadget for academic announcement. Telkomnika (Telecommunication Computing Electronics and Control), 17(1), 147. https://doi.org/10.12928/telkomnika.v17i1.10245
Vrbaski, M. (2023). Deep reinforcement learning solution for scheduling critical notifications in a digital twin cluster.. https://doi.org/10.21203/rs.3.rs-3667938/v1