AJISMAN, ADRIAN and Malik, Reza Firsandaya and Hasan, Arduna (2020) SISTEM PERINGATAN DINI UNTUK ALAT PENDINGIN PADA SHELTER BASE TRANSCEIVER STATION BERBASIS UNIT TELEMETRI JAMAK SECARA WAKTU NYATA. Undergraduate thesis, Sriwijaya University.
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Abstract
Early warning systems are a major factor in reducing disaster risk. Monitoring is a cycle of activities that includes reporting, collecting, reviewing, and providing action on information on a process that is being implemented. The online monitoring system makes it easy for users to create a system that can solve major problems related to BTS supervision carried out by company leaders on BTS owned by operators. The results of daily average measurement of BTS shelters show a relatively good percentage of successful application of the tool. This is evidenced by the absence of danger orders sent via BOT Telegram and only touching temperatures of more than 26⁰C for 4 hours in 24 hours of temperature measurement.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Face Recognition , Real Time, Multi Task Cascade Convolutional Neural Network, VGGFace, Support Vector Machine |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | Users 9737 not found. |
Date Deposited: | 13 Jan 2021 04:30 |
Last Modified: | 13 Jan 2021 04:30 |
URI: | http://repository.unsri.ac.id/id/eprint/39715 |
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