Zuhri, Syaifuddin (2019) Sistem Monitoring Kolam Pembesaran Lobster Berbasis Web Menggunakan Raspberry Pi 3 B+. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sistem monitoring dapat memberikan informasi keberlangsungan proses untuk menetapkan langkah menuju ke arah perbaikan yang berkesinambungan. Diperlukan sistem monitoring pada pengondisian kolam lobster terhadap kadar salinitas, kekeruhan, dan level. Sistem monitoring ini merupakan rancangan sistem yang digunakan untuk memantau kadar salinitas, kekeruhan, dan level air pada pengondisian kolam lobster. Hal ini berfungsi untuk memudahkan pengguna dalam memantau maupun melakukan perawatan dan berbaikan pada kolam lobster. Sistem monitoring pada pengondisian kolam lobster ini menggunakan komponen sensor salinitas, raspberrypi 3 B+, LCD display 16x2. Hasil pembacaan kadar salinitas, kekeruhan, dan level, ditampilkan pada LCD 16x4 serta website. Data tersebut dapat diakses melalui smartphone berbasis android dan terdapat database. Berdasarkan hasil pengujian penulis, didapatkan maksimal pengguna android yang dapat mengakses aplikasi adalah ± 11 pengguna, maksimal jarak adalah 50m, dan delay rata-rata pengiriman paket ke database sebesar 0,0002971 ms
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The monitoring system can provide information on the sustainability of the process to set steps towards continuous improvement. Monitoring system is needed on conditioning lobster ponds to salinity, turbidity and level. This monitoring system is a system design that is used to monitor the salinity, turbidity, and water level in lobster enlargement ponds. This serves to make it easier for users to monitor and carry out maintenance and make up on lobster pools. This monitoring system on lobster ponds uses a salinity sensor component, raspberrypi 3 B +, 16x2 LCD. The results of reading the salinity, turbidity and level are displayed on the 16x4 LCD and website. The data can be accessed via an Android-based smartphone and there is a database. Based on the results of the Penlis test, it was found that the maximum number of android users who can access the application is ± 11 users, maximum distance is 50m., and the average delay of sending packets to the database is 0,0002971 ms
| Item Type: | Thesis (Diploma) |
|---|---|
| Additional Information: | RSIn 004.165 Zuh s-1 2019 |
| Uncontrolled Keywords: | Sistem Monitoring,Database, Raspberry Pi 3 B+ |
| Subjects: | S Agriculture > SF Animal culture |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Zuhri Syaifuddin |
| Date Deposited: | 13 Aug 2026 08:43 |
| Last Modified: | 13 Aug 2026 08:43 |
| URI: | http://repository.its.ac.id/id/eprint/70000 |
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