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Image of RANCANG BANGUN SISTEM DETEKSI PERMUKAAN KOTAK PADA SIMULATOR ROV (REMOTELY OPERTED VEHICLE)
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Skripsi

RANCANG BANGUN SISTEM DETEKSI PERMUKAAN KOTAK PADA SIMULATOR ROV (REMOTELY OPERTED VEHICLE)

Suwito, Heru  - Personal Name;

In recent decades, the use of Remotely Operated Vehicles (ROVs) has significantly increased in various underwater applications, such as exploration, structural inspection, and rescue operations. One of the main challenges is the ROV's ability to detect and map objects in its surroundings. This project aims to develop a relevant ROV simulator for detecting environmental and industrial underwater boxes. The simulator uses HC-SR04 ultrasonic sensors and a conveyor system to detect the dimensions of boxes. In industrial environments, this technology enables the handling, arrangement, and sorting of boxes based on size, enhancing operational efficiency and resource optimization. Sensor data is processed and visualized using web technology, providing an interactive interface that is easy to understand. Integrating this technology improves the accuracy, reliability, and efficiency of object management in various operational conditions. Testing the detection system with a single box object showed low measurement error values: 2.55% in height, 3.91% in width, and 5.83% in length. This indicates that the system has a good level of accuracy in detecting object dimensions. Keywords: ROV, IoT, industry, object detection, ultrasonic sensors, conveyor, HC-SR04, ESP-32, detection accuracy, web technology


Availability
#
Central Library (References) T1539362024
T153936
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1539362024
Publisher
Indralaya : Prodi Teknik Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024
Collation
xv, 61 hlm.; ilus.; tab, 29 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
006.370 7
Content Type
Text
Media Type
unmediated
Carrier Type
other (computer)
Edition
-
Subject(s)
Prodi Teknik Komputer
Visi Komputer
Specific Detail Info
-
Statement of Responsibility
SEW
Other version/related
TitleEditionLanguage
Rancang bangun perangkat lunak untuk memprediksi customer churn dengan pendekatan data mining menggunakan algoritma c4.5 decision tree (studi kasus : PT Sampoerna Telekomunikasi Indonesia (STI) Ceria cabang Palembang)id
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  • RANCANG BANGUN SISTEM DETEKSI PERMUKAAN KOTAK PADA SIMULATOR ROV (REMOTELY OPERTED VEHICLE)
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