| dc.contributor.author | LS, Ardian Kurniawan | |
| dc.date.accessioned | 2026-01-30T09:21:55Z | |
| dc.date.available | 2026-01-30T09:21:55Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://dspace.uc.ac.id/handle/123456789/9082 | |
| dc.description | Abstract-Purchase record activities in a business are a common thing, including purchase record activities on water filling business. The purchase record is done conventionally, especially for small-scale individual businesses and the purchase record activity often experiences problems such as missed purchase records. This problem can be done by using Artificial Intelligence based on Object Detection to overcome the problem of recording the entry and exit of the water truck. This study uses the YOLOv5 (You Only Look Once) architecture for Object Detection, Next, the results of the detection will be entered into the EfficientNetB4 classification model to determine specifically which water truck is taking the water. This system is also integrated with the Telegram messaging application which will be used by the business owner in monitoring the business. This research is also proven to work in helping detect objects that have been determined | en_US |
| dc.description.abstract | Abstrak— Kegiatan pencatatan dalam usaha meruapakan suatu hal yang lumrah terjadi, tak terkecuali kegiatan pencatan di usaha pengisian air. Pencatatan dilakukan secara konvensional terutama bagi usaha perseorangan dengan skala kecil dan pencatatan tersebut seringkali mengalami masalah seperti ada pencatatan yang terlewat. Masalah tersebut dapat diatasi dengan penggunaan Artificial Inteligence berbasis Object Detection untuk mengatasi masalah pencatatan keluar masuknya truk air tersebut. Penelitian ini menggunakan arsitektur YOLOv5(You Only Look Once) untuk Object Detection, yang berikutnya hasil dari deteksi akan dimasukan ke model klasifikasi EfficientNetB4 guna menentukan secara spesifik truk air yang mana yang sedang melakukan pengisian sistem ini juga diintegrasikan dengan aplikasi messaging Telegram yang nantinya akan digunakan oleh sang pemilik usaha dalam memantau usaha tersebut. Penelitian ini juga terbukti dapat bekerja dalam membantu mendeteksi objek yang telah ditentukan. | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | UNIVERSITAS CIPUTRA SURABAYA | en_US |
| dc.subject | Pengisian air, Object Detection, Deep Learning, Internet Of Things, Computer Vision, YOLOv5, Ip camera. | en_US |
| dc.subject | Water Filling, Object Detection, Deep Learning, Internet Of Things, Computer Vision, YOLOv5, Ip camera. | en_US |
| dc.title | Rancang Bangun Sistem Deteksi dan Klasifikasi pada Usaha Pengisian Truk Tangki Air Menggunakan YOLOv5, EfficientNetB4 dan CCTV | en_US |
| dc.type | Thesis | en_US |
| dc.identifier.kodeprodi | 55201 | |
| dc.identifier.nim | 0706011910024 | |
| dc.identifier.dosenpembimbing | Daniel Martomanggolo Wonohadidjojo | |
