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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Simantec The Spirit of Society Journal : International Journal of Society Development and Engagement Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri International Journal of Marine Engineering Innovation and Research Journal of Applied Smart Electrical Network and System (JASENS) Bulletin of Community Engagement Elektriese: Jurnal Sains dan Teknologi Elektro BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) Jurnal 7 Samudra Politeknik Pelayaran Surabaya Jurnal Difusi Ipteks Legowo Jurnal Cakrawala Maritim Jurnal Teknologi Maritim Indonesian Journal of Innovation Multidisipliner Research Joong-Ki
Yuning Widiarti
Teknik Kelistrikkan Kapal, Politeknik Perkapalan Negeri Surabaya, Indonesia
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Penerapan Teaching Factory Berbasis Proyek ROV untuk Meningkatkan Skill Mekatronika Siswa SMK Puger Poetro, Joessianto Eko; Sutrisno, Imam; Rahmat, Mohammad Basuki; Widiarti, Yuning; Bashori, Achmad
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 4 No. 3: Mei 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v4i3.8673

Abstract

Keterampilan mekatronika merupakan kompetensi utama yang perlu dikuasai oleh siswa Sekolah Menengah Kejuruan (SMK), khususnya dalam menghadapi tantangan dunia industri 4.0 dan kebutuhan kerja berbasis teknologi. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan mekatronika siswa SMK Puger melalui pendekatan Teaching Factory berbasis proyek pembuatan Remotely Operated Vehicle (ROV). Metode pelaksanaan meliputi pelatihan dasar teori ROV, praktik perakitan komponen elektronik dan mekanik, pemrograman mikrokontroler, serta pengujian dan evaluasi hasil kerja siswa. Proyek ini tidak hanya mengembangkan kemampuan teknis siswa, tetapi juga mendorong peningkatan soft skills seperti kerja tim, problem solving, dan komunikasi teknis. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman dan keterampilan siswa pada aspek elektrikal, mekanikal, dan pemrograman. Program ini juga memberikan pengalaman nyata bagi siswa dalam menerapkan pembelajaran berbasis industri yang aplikatif. Dengan demikian, Teaching Factory berbasis proyek ROV terbukti efektif sebagai media pembelajaran untuk memperkuat kompetensi mekatronika di tingkat SMK.
Design of Temporary Storage for Hazardous Waste at Politeknik Perkapalan Negeri Surabaya Setiani, Vivin; Sholihah, Mar'atus; Kurniasih, Dewi; Widiarti, Yuning; Budiyanto, Ekky Nur; Khumaidi, Agus; Wibowo, Sekarsari; Setyawati, Emeralda Eka Putri; Astutik, Rina Puji
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 22, No 1 (2025): March 2025
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v22i1.275-286

Abstract

Politeknik Perkapalan Negeri Surabaya has workshops or laboratories that generate hazardous waste from practical learning activities. Currently, hazardous waste is not stored in accordance with regulations, it will pose a danger to the environment and human health. Therefore, this research requires a design for hazardous waste storage that complies with the Minister of Environment and Forestry Regulation number 6 of 2021. The design of fire extinguisher requirements is based on the Regulation of the Minister of Manpower and Transmigration of the Republic of Indonesia No. Per.04/Men/1980 and the design of lighting based on SNI 03-6575-2001. This research discusses the design of hazardous waste storage, including the characteristics of hazardous waste, the design of packaging and the supporting facilities. The characteristics of hazardous waste at the Politeknik Perkapalan Negeri Surabaya consist of flammable waste, toxic waste, and infectious waste. While, the packaging for hazardous waste is equipped with symbols and labels according to their characteristics and volume. The design of the hazardous waste storage building at the Politeknik Perkapalan Negeri Surabaya has dimensions of 11 m x 7 m, equipped with 12 lights and light fire extinguishers, taking into account the location, facilities, and emergency response.
Implementasi ROS dan Optimasi Identifikasi Warna Buoy Dengan YOLOv5 Pada Miniatur Autonomous Surface Vehicle Gusti Audryadmaja, Anugerah Ekha; Joko Endrasmono; Zindhu Maulana Ahmad Putra; Lilik Subiyanto; Muhammad Khoirul Hasin; Mohammad Basuki Rahmad; Isa Rachman; Agus Khumaidi; Yuning Widiarti; Ryan Yudha Adhitya; Dimas Pristovani Riananda
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 1 (2024): Jurnal Elkolind Vol. 11 No.1 (Mei 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i1.5343

Abstract

Autonomous Surface Vehicles (ASV) telah menjadi fokus penelitian yang populer karena aplikasinya yang luas. Tantangan utama dalam pengembangan ASV adalah mendeteksi dan mengidentifikasi objek di permukaan udara, seperti pelampung , dengan cepat dan akurat. Penelitian ini mengintegrasikan Robot Operating System (ROS ) dengan algoritma YOLOv5 untuk mendeteksi pelampung berwarna, dengan tujuan mengidentifikasi varian YOLOv5 yang menawarkan kinerja komputasi ringan dan akurasi yang tinggi untuk aplikasi real-time pada ASV. Berbagai varian YOLOv5 (YOLOv5s, YOLOv5m, dan YOLOv5L) dievaluasi berdasarkan kinerja deteksi dan penggunaan sumber daya komputasi. Hasil menunjukkan semua model YOLOv5 berfungsi dengan baik dalam ekosistem ROS. YOLOv5m memiliki performa deteksi terbaik dengan akurasi 90%, diikuti oleh YOLOv5s (89,8%) dan YOLOv5L (88,9%). Dalam pengujian real-time , YOLOv5L memiliki akurasi terbaik sebesar 87,78%, diikuti oleh YOLOv5m (85%) dan YOLOv5s (80%). Dari segi respon, YOLOv5s menjadi yang tercepat dengan waktu respon 36,4ms, diikuti oleh YOLOv5m (77ms) dan YOLOv5L (139ms). Berdasarkan hasil tersebut, YOLOv5m dianggap paling ideal untuk digunakan pada miniatur ASV karena memiliki akurasi yang baik (85%) dan waktu respon yang cepat (77ms), berkontribusi pada pengembangan teknologi ASV yang lebih efisien dan andal.
Accessing Ping Sonar Echosounder Produksi ROVMAKER pada Mikrokontroler dan Data Noise Reduction dengan Kalman Filter Adam Maulana, Adam Maulana; Joko Endrasmono; Zindhu Maulana Ahmad Putra; Lilik Subiyanto; Mohammad Basuki Rahmat; M.Khoirul Hasin; Isa Rachman; Agus Khumaidi; Yuning Widiarti; Ryan Yudha Adhitya; Dimas Pristovani Riananda
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 1 (2024): Jurnal Elkolind Vol. 11 No.1 (Mei 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i1.5389

Abstract

Two-thirds of Indonesia's territory is waters that have a high risk of flooding. Bathymetric surveys are important for flood management because they provide depth and topography data to determine the need for dredging of a water area. Traditional bathymetric surveys produce less than optimal coverage due to limited ship movements. This research aims to develop an automatic bathymetry system using a ping sonar echosounder sensor integrated with a USV (Unmanned Surface Vehicle). The ping sonar echosounder produced by ROVMAKER can generally only be accessed using the built-in software from the ROVMAKER manufacturer and can now be integrated with the microcontroller system on the USV to increase the efficiency of bathymetric system performance. This research also uses the Kalman filter method to reduce sensor reading noise. Validation of the suitability of the sensor shows an average error of 2.94% at a depth of 1400mm and 2.195% at a depth of 2200mm, which shows that the sensor is classified as suitable for use. The optimal noise reduction in the Kalman filter experiment is at a variance ratio (R/Q) of 1000 with an RMSE of 5.05mm at a depth of 1400mm and 3.99mm at a depth of 2200mm. This system has been proven to increase the accuracy of bathymetric data and system access efficiency.
APLIKASI PENGAMBILAN DATA GPS PADA SEA TRIAL (PERFORMANCE TEST) BERBASIS ANDROID o, Adianto; Widiarti, Yuning
Jurnal Simantec Vol 4, No 3 (2015)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v4i3.1382

Abstract

ABSTRAKBerkembangnya industri kemaritiman berdampak pada perkembangan industri perkapalan di Indonesia. Sejalan dengan banyaknya industri perkapalan yang berdiri maka banyak pula kapal baru yang dihasilkan dimana kapal-kapal tersebut harus memenuhi kualitas dan performa yang distandarkan, untuk itu kapal harus lolos uji performa (performance test). Salah satu uji performa yang dilakukan adalah maneuvering test. Pada maneuvering test diperlukan peralatan GPS yang harganya relatif mahal. Selain itu hasil uji performa yang dilakukan tidak efisien karena data GPS yang terrekam tidak secara otomatis tersimpan dalam file pada saat itu. Proses perekaman data dilakukan secara manual oleh beberapa orang yang memungkinkan adanya kesalahan penulisan. Apabila data telah diperoleh maka program harus dijalankan untuk mendapatkan pola manuver. Urutan pekerjaan konvensional ini dirasakan tidak efisien bagi pelaku industri perkapalan seperti galangan kapal. Penelitian ini membahas proses pengambilan data pada saat uji performa dengan smartphone berbasis Android yang telah terintegrasi dengan GPS dan orientation sensor untuk mengambil data latitude, longitude, heading kapal, dan kecepatan kapal. Hasil penelitian ini berupa data yang dapat menghasilkan pola maneuver dan dapat dijadikan sebagai acuan hasil uji maneuvering test.Kata kunci : uji manuver, GPS, orientation sensor, maneuvering plotABSTRACTMaritime industrial development have an impact on the development of the shipping industry in Indonesia. In line with many shipping industry that stands so many new ships are produced where ships must meet standardized quality and performance, to the ship must pass the test performance (performance test).One performance test conducted was maneuvering test. In the test maneuvering necessary GPS equipment is relatively expensive. In addition the results of performance tests conducted inefficient because the recorded data of GPS is not automatically stored in a file at the same time period. Data recording process is done manually by several people who allow typographical errors. If the data has been obtained, the program must be run to get the patterns of maneuver. The sequence of work is felt to be inefficient conventional for the shipping industry players such as shipbuilding. This study discusses the data collection process at the time of test performance using a smartphone device based on Android that has been integrated with GPS and orientation sensors to retrieve data latitude, longitude, heading the ship, and the ship's speed. Results of this study are the data that can generate patterns of maneuver and can be used as a reference test results maneuvering test.Keyword: maneuvering test, GPS, orientation sensor, maneuveringNikmati pengalaman bermain slot zeus, grafis epik dan fitur bonus hadir untuk meningkatkan peluang kemenangan.
Corrosion Detection on Ship Hull Using ROV Based on Convolutional Neural Network Widiarti, Yuning; Setiawan, Edy; Prasetiyo, Hendra Aldi; Budianto, Budianto; Sutrisno, Imam; Adianto, Adianto; Rahmat, Mohammad Basuki
International Journal of Marine Engineering Innovation and Research Vol 9, No 1 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.17235

Abstract

The Remotely Operated Underwater Vehicle (ROV) has several inspection functions. One of them is the inspection function for hull damage. The damage that often occurs in the hull is corrosion. The corrosion can cause a decrease in the strength of the hull plate, reduce the speed of the ship, and decrease the quality of the safety level of ships and passengers. This study aims to classify the level of corrosion intensity on ship hulls by implementing a Convolutional Neural Network (CNN). Identification is carried out on images taken by underwater cameras via a Remotely Operated Vehicle (ROV). The intensity of the area affected by corrosion is identified so that the level of corrosion intensity can be classified and it can be considered that the ship needs maintenance to prevent even greater losses due to corrosion. The dataset used is 240 image data divided into 3 classification categories: low, medium, and high corrosion intensity. The accuracy of the real-time testing of the CNN method on the dataset plate when conditions outside the water reached 91.1% and on the dataset plate when conditions underwater reached 86.6%. 
Design and Analysis of Microstrip Patch Antennas to Support the Implementation of Smart Ports Rahmat, M. Basuki; Widiarti, Yuning; Setijadi, Eko; Idris, Azlina; Julia, Aina; Hamzah, Shipun Anuar; Putri, K S H
THE SPIRIT OF SOCIETY JOURNAL : International Journal of Society Development and Engagement Vol 8 No 1: September 2024
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/scj.v8i1.3180

Abstract

Smart port is a port concept which is designed and managed efficiently and effectively, which includes various technologies such as the use of automation systems, robotics, the Internet of Things (IoT), and data analysis. the main service to convert a port into a smart port or Port 4.0. categorized into three main areas: Smart infrastructure is focused on “fixed assets” in ports, such as buildings (e.g. warehouses or stacking areas), cranes, trains, and roads. Smart traffic is focused on “moving assets” such as ships, trucks, trains and containers. Smart trading is focused on the flow of cargo. Digitalization with information and communication technology and automation are fundamental factors in pushing a port towards a smart port. One of the important components in communication technology is the antenna. several devices exchange data for remote monitoring using wireless communication. Antennas are very important in wireless communications. This article explains antenna design and analysis to support Dedicated Short-Range Communications (DSRC) in smart ports. This paper designs, simulates, and analyzes a microstrip patch antenna (MPA) for wireless applications. FR-4 (lossy) and Roggers RT/duroid with a dielectric permittivity of 4.3 and 2.2 has been used as a substrate material. The simulation was carried out using computer simulation technology (CST) suite studio 2019 software. Simulation with FR-4 material showed a return loss of -21.23 dB, gain of 2.718 dBi, directivity of 7.525 dBi, voltage standing wave ratio (VSWR) of 1.1864, bandwidth (BW) is 0.0635 GHz, and Simulation using Rogers RT5880/duroid material showed a return loss of -10.813 dB, gain of 8.084 dBi, directivity of 8.528 dBi, voltage standing wave ratio (VSWR) of 1.8095, bandwidth (BW) is 0.0441 GHz.
Corrosion Detection on Ship Hull Using ROV Based on Convolutional Neural Network Yuning Widiarti; Edy Setiawan; Hendra Aldi Prasetiyo; Budianto Prasetiyo; Imam Sutrisno; Andianto; Mohammad Basuki Rahmat
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 1 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i1.5071

Abstract

The Remotely Operated Underwater Vehicle (ROV) has several inspection functions. One of them is the inspection function for hull damage. The damage that often occurs in the hull is corrosion. The corrosion can cause a decrease in the strength of the hull plate, reduce the speed of the ship, and decrease the quality of the safety level of ships and passengers. This study aims to classify the level of corrosion intensity on ship hulls by implementing a Convolutional Neural Network (CNN). Identification is carried out on images taken by underwater cameras via a Remotely Operated Vehicle (ROV). The intensity of the area affected by corrosion is identified so that the level of corrosion intensity can be classified and it can be considered that the ship needs maintenance to prevent even greater losses due to corrosion. The dataset used is 240 image data divided into 3 classification categories: low, medium, and high corrosion intensity. The accuracy of the real-time testing of the CNN method on the dataset plate when conditions outside the water reached 91.1% and on the dataset plate when conditions underwater reached 86.6%.
Underwater Remotely Operated Vehicle Control System Ar-chitecture Imam Sutrisno; Yuning Widiarti; Projek Priyonggo; Tri Mulyatno Budhi Hartanto; Ari Wibawa Budi Santosa; Faris Nofandi; Monika Retno Gunarti; Agus Prawoto; Anak Agung Istri Sri Wahyuni
Indonesian Journal of Innovation Multidisipliner Research Vol. 2 No. 2 (2024): April - Juni
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v2i2.132

Abstract

Underwater Remotely Operated Vehicle (ROV) control system architecture, work Class II - underwater inspection is demonstrated. The object is programmed on MATLAB simulink. The nonlinear modeled plants were processed by approximation way. Author planned a controller of an underwater ROV object. PID controller is used modeled plant. Tuning PID tool is used MATLAB for choose underwater ROV controller. Researchers tested an underwater ROV for system and solving problems an underwater ROV architecture.
Multinode Maritime Emergency Communication System for Traditional Fishing Vessels in Indonesia Using Haversine-Based GPS Signaling Yuning Widiarti; Adianto Adianto; Purwidi Asri
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 3 (2026): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111685

Abstract

The lack of reliable and affordable emergency communication technologies often constrains maritime safety for traditional fishing vessels in Indonesia. This paper presents a multinode maritime emergency communication system that integrates Haversine-based GPS positioning with LoRa-enabled multi-hop networking. The proposed system provides automated SOS generation, adaptive routing based on vessel proximity, and real-time data visualization through a cloud-based monitoring dashboard for harbor authorities. The hardware architecture incorporates GPS, gyroscope, magnetometer, water level, and temperature sensors, as well as an ESP32 microcontroller, enabling low-power and long-range communication tailored for small-scale fisheries. Field experiments conducted with traditional fishing vessels validated the system’s performance, achieving 0% packet loss, a stable average RSSI of –90 dBm, and consistent end-to-end delays of 8–13 seconds across all multi-hop SOS transmissions. Compared with conventional single-hop LoRa deployments, the proposed framework enhances coverage, resilience, and adaptability in dynamic maritime environments. These results confirm the system’s feasibility as a cost-effective, energy-efficient, and scalable solution for improving safety and emergency response in traditional fishing operations.
Co-Authors Adam Maulana, Adam Maulana Adianto Adianto Adianto Adianto o, Adianto Adianto, Adianto Agus Khumaidi Agus Khumaidi Agus Prawoto Anak Agung Istri Sri Wahyuni Andianto Anggara Trisna Nugraha Ari Wibawa Budi Santosa Arie Indartono Arifin, M. Firman Tsany Arumsari, Nurvita Aslikha Amalia Asri, Purwidi Astutik, Rina Puji Ayu Lestari Bashori, Achmad Budianto Budianto Budianto Budianto Budianto Prasetiyo Budianto, Budianto Budiyanto, Ekky Nur C. I. Sutrisno Dewi Kurniasih Dika Rahayu Widiana Dika Rahayu Widiana Dimas Pristovani Riananda Dimas Pristovani Riananda Dinda Pramanta Dwi Sasmita Aji Pambudi Edy Setiawan Erutan Dwi Sajiwo Faris Nofandi Fortunaviaza Habib Ainudin Gusti Audryadmaja, Anugerah Ekha Hamzah, Shipun Anuar Hana Malihatul Hasin, Muhammad Khoirul Hendra Aldi Prasetiyo Hendro Agus Widodo Idris, Azlina Imam Sutrisno Imam Sutrisno Irma Rustini Irma Rustini Aju Isa Rachman Joessianto Eko Poetro, Joessianto Eko Joko Endrasmono Jossianto Eko Poetro Julia, Aina Lilik Subiyanto M. Basuki Rahmat M. Khoirul Hasin M. Yusuf Santoso Moh. Nur Khojim Mohammad Basuki Rahmad Mohammad Basuki Rahmat Mohammad Basuki Rahmat Mohammad Basuki Rahmat Mohammad Basuki Rahmat, Mohammad Basuki Monika Retno Gunarti Muhammad Imaduddin Afi Novia Anggraini Nur Wakhidatur Rochmawati Pranowo Sidi Prasetiyo, Hendra Aldi Projek Priyonggo Sumangun Lukitadi Purwanti, Endang Pudji Putri, K S H Rahmat, M. Basuki Rahmat, Mohammad Basuki Rahmat, Mohommad Basuki Rakha Bagus Putra Pradana Rini Indarti Rini Indartini Ryan Yudha Adhitya Ryan Yudha Adhitya Salsabila Ika Yuniza Sekarsari Wibowo Setiani, Vivin Setiawan, Edy Setijadi, Eko Setyawati, Emeralda Eka Putri Sholihah, Mar'atus Sindy Yurisma Sheila Sintia Megawati Sutrisno, Imam Tri Mulyatno Budhi Hartanto Wibowo, Sekarsari Wismawati, Endah Yugowati Praharsi Zindhu Maulana Ahmad Putra Zindhu Maulana Ahmad Putra