RANCANG BANGUN SISTEM DETEKSI KEMATIAN IKAN CHANNA BERBASIS IOT MENGGUNAKAN YOLOV8

Shania, Shania (2026) RANCANG BANGUN SISTEM DETEKSI KEMATIAN IKAN CHANNA BERBASIS IOT MENGGUNAKAN YOLOV8. Diploma thesis, Politeknik Negeri Sriwijaya.

[img] Text (COVER)
COVER.pdf - Published Version

Download (701kB)
[img]
Preview
Text (ABSTRAK)
ABSTRAK.pdf - Published Version

Download (108kB) | Preview
[img] Text (BAB I PENDAHULUAN)
BAB I.pdf - Published Version
Restricted to Repository staff only

Download (92kB) | Request a copy
[img] Text (BAB II TINJAUAN PUSTAKA)
BAB II.pdf - Published Version
Restricted to Repository staff only

Download (610kB) | Request a copy
[img] Text (BAB III RANCANG BANGUN)
BAB III.pdf - Published Version
Restricted to Repository staff only

Download (874kB) | Request a copy
[img] Text (BAB IV PEMBAHASAN)
BAB IV.pdf - Published Version
Restricted to Repository staff only

Download (1MB) | Request a copy
[img] Text (BAB V KESIMPULAN DAN SARAN)
BAB V.pdf - Published Version
Restricted to Repository staff only

Download (75kB) | Request a copy
[img] Text (DAFTAR PUSTAKA)
DAFTAR PUSTAKA.pdf - Published Version
Restricted to Repository staff only

Download (168kB) | Request a copy
[img] Text (LAMPIRAN)
LAMPIRAN.pdf - Published Version
Restricted to Repository staff only

Download (1MB) | Request a copy

Abstract

Kematian ikan Channa yang tidak segera diketahui dapat menurunkan kualitas air dan membahayakan ikan lain di dalam akuarium. Diperlukan suatu sistem yang mampu mendeteksi kondisi ikan secara otomatis dan memberikan informasi kepada pengguna secara real-time. Penelitian ini bertujuan untuk merancang dan membangun sistem deteksi kematian ikan Channa berbasis Internet of Things (IoT) menggunakan algoritma YOLOv8. Sistem terdiri dari webcam sebagai perangkat pengambil citra, Raspberry Pi 4 sebagai pengolah data, LCD I2C sebagai media tampilan hasil deteksi, serta aplikasi Blynk sebagai media monitoring.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Ikan Channa, YOLOv8, Internet of Things (IoT), Raspberry Pi 4, Deteksi Objek
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Electronic Engineering > Undergraduate Theses
Depositing User: Pustaka Teknik Elektro
Date Deposited: 27 Aug 2026 09:56
Last Modified: 27 Aug 2026 09:56
URI: http://eprints.polsri.ac.id/id/eprint/23798

Actions (login required)

View Item View Item