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All Journal International Journal of Marine Engineering Innovation and Research Jurnal Kewarganegaraan
Iie Suwondo
Politeknik Pelayaran Surabaya
Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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Optimalisasi Pemasangan Radar Untuk Memperbaiki dan Mengurangi Bahaya Kegagalan Navigasi di Atas Kapal Abdul Hafih Abyan Faruq; Imam Sutrisno; Iskandar Iskandar; Iie Suwondo; Daviq Wiratno
Jurnal Kewarganegaraan Vol 6 No 2 (2022): Desember 2022
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.553 KB) | DOI: 10.31316/jk.v6i2.3604

Abstract

AbstrakPermasalahan dalam penelitian ini adalah pentingnya pengoptimalisasi pemasangan RADAR diatas kapal yang bertujuan untuk menganalisis kendala atau permasalahan, mengurangi tingkat kecelakaan di alur pelayaran pada Kapal KCR 60M 5 Kapak yang diakibatkan kegagalan dan untuk lebih mengetahui dan mengerti pengoperasian Radar terhadap alur pelayaran. Metode yang digunakan yaitu dengan metode observasi langsung selama melakukan praktek layar diatas kapal, metode pustaka dengan membaca liberatur sebagai pelengkap penelitian dan metode wawancara pada narasumber diatas kapal. Jenis data yang digunakan dalam penelitian ini adalah kualitatif. Sumber data penelitian ini adalah data primer dengan hasil pengamatan langsung dan data sekunder dengan menggunakan data yang sudah ada sebelumnya. Penelitian yang dibuat oleh penulis ini menggunakan sistem kualitatif yang merupakan penelitian tentang riset yang bersifat deskriptif dan cenderung menggunakan analisis data.Kata Kunci:  RADAR, Navigasi, Kapal KCR 60M 5 Kapak AbstractThe problem in this study is the importance of optimizing the installation of RADAR on ships which aims to analyze obstacles or problems, reduce the rate of accidents in the shipping channel on the KCR 60M 5 Axe Ship caused by failure and to better know and understand the operation of radar on the shipping channel. The method used is the direct observation method during the practice of sailing on the ship, the library method by reading the liberatur as a complement to research and interview methods for the speakers on the ship. The type of data used in this study is qualitative. The data sources of this study are primary data with direct observation results and secondary data using pre-existing data. The research made by this author uses a qualitative system which is research on research that is descriptive and tends to use data analysis.Keywords: RADAR, Navigation, Ship KCR 60M 5 Axe
Prototype of Bridge Navigational Watch Alarm System Equipped Obstacle Warning System Based on Image Processing and Real-Time Tracking Iskandar; Dewa Pamungkas; Imam Sutrisno; Afif Zuhri Arfianto; Ari Wibawa Budi Santosa; Iie Suwondo
International Journal of Marine Engineering Innovation and Research Vol. 7 No. 1 (2022)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v7i1.5637

Abstract

Ships are sea transportation that is often used in Indonesia. However, who would have thought that the transportation would become a case because of the frequent occurrence of accidents. This has been proven from data from the KNKT (National Transportation Safety Committee) which noted that from 2012 to 2017 there had been an increase in accidents in the waters. In fact, according to the National Search and Rescue Agency (Basarnas) in 2020 there have been 878 incidents with victims reaching 4658 people. In this final project, the author makes a prototype of BNWAS (Bridge Navigational Watch Alarm System) equipped with obstacle warning using image processing with the otsu method strengthened by thresholding-based segmentation with inverse technique (TsTN), distance detection using the triangle similarity method, real-time tracking with GPS (Global Positioning System) and the entire system can be observed on the Android application. The Final Project performs several analyzes including performance analysis by calculating the accuracy of the BNWAS alarm system, image detection accuracy, distance detection accuracy, GPS accuracy, overall system testing accuracy and packet loss. The accuracy of each system is very good because the error is below 2%, while for overall system testing has a very good performance with a delay of 179.8 ms and 0% packet loss.
Co-Authors Abdul Hafih Abyan Faruq Arfianto, Afif Zuhri Ari Wibawa Budi Santosa Daviq Wiratno Dewa Pamungkas Imam Sutrisno Iskandar Iskandar Iskandar