Widjaja, Raden Sjarief
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Design and Manufacture Ballast Management System Model for Reduce Ship Rolling Motion Yulianto, Totok; Hermawan, Yuda Apri; Widjaja, Raden Sjarief; Purwanto, Dedi Budi; Sulaiman, Suardi bin; Rahmi, Lista Putri Adinda
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 20, No 3 (2023): October
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v20i3.59192

Abstract

The safety of maritime transportation is a critical aspect that must be addressed to ensure the well-being of ships and their crew. Frequent ship accidents highlight the need for improvements in the maritime transportation system. One of the causes of ship accidents is ship instability, leading to a loss of balance and even sinking. Ship stability is influenced by both internal and external factors, including human negligence in observing and addressing ship instability. This research aims to design and create a management ballast system model that can be operated automatically as a solution to reduce ship rolling motion. This system enables the ship to maintain balance using automatic side ballast tank management by utilizing two wing tanks on either side of the ship. The ballast management system will be equipped with an accurate ship roll angle detector, the Initial Measurement Unit sensor, a microcontroller, and a series of actuators, including relays as voltage control switches for the pump motor. This research involves simulation and testing/experiments at various angles, namely 5, 10, and 15 degrees. Simulations are conducted under conditions with and without the ballast management system, which is then confirmed through experiments under the same conditions. The expected outcome of this research is that the created ballast management system can be used to reduce ship rolling.
Design of Remotely Operated Underwater Vehicle (ROUV) for Underwater Metal Detection Widjaja, Raden Sjarief; Purwanto, Dedi Budi; Trimulyono, Andi; Hafizh, Muhammad Nur Abdullah
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 21, No 2 (2024): June
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v21i2.62767

Abstract

The underwater surveys and inspections in Indonesia were carried out mostly by the operation of practical divers who were limited to shallow waters. The deep - sea exploration requires more advanced technology. The development of underwater technology is required to support many functions of underwater surveys and inspections. The purpose of this study was to design a Remotely Operated Underwater Vehicle (ROUV) for detecting objects with metallic materials. The ROV was designed with a Penta Tubular model and camera assistance for navigation, the JSNSR04T ultrasonic sensor to detect object distances, and the LJ12A3 inductive proximity sensor as a metal detector. ROUV rides are controlled using a keyboard with certain keywords and monitored using a smartphone. Testing the JSN-SR04T Ultrasonic sensor uses 5 variations of distance, namely 20cm, 40cm, 60cm, 80cm, and 100cm, with the detection object in the form of a plate with dimensions of 35cm x 35cm. For testing the inductive proximity sensor, the LJ12A3 type uses 3 variations of materials, namely steel plate, aluminum plates as metal objects, and PVC plates as control materials. Tests were carried out in two mediums, namely in air and underwater. Based on the results of data retrieval testing of the ultrasonic distance sensor in the air, the smallest error percentage is 0.06%, and the highest error percentage is 0.705%. In the underwater test, the error percentage was 0.49% for a distance variation of 100 cm. The ultrasonic distance sensor type JSN-SR04 cannot read distance data below 89.75 cm in water due to differences in the speed of sound propagation in different media. The Inductive Proximity Sensor can work well in air and water mediums with 100% accuracy on steel plates, aluminum plates, and PVC plates.