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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 Bulletin of Community Engagement Elektriese: Jurnal Sains dan Teknologi Elektro BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) Indonesian Journal of Innovation Multidisipliner Research Jurnal 7 Samudra Politeknik Pelayaran Surabaya 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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Obstacles Detection in Underwater Environment Using ROV Based on Convolutional Neural Network Asri, Purwidi; Widiarti, Yuning; Purwanti, Endang Pudji; Wismawati, Endah; Arifin, M. Firman Tsany
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 1 (2025): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.101698

Abstract

Pada saat RoV berada dibawah air tidak sedikit obstacle yang dijumpai dan berpengaruh terhadap  kinerja dan keselamatan body ROV itu sendiri. Obyek yang tertangkap kamera ROV seringkali sulit untuk diidentifikasi dan dideteksi karena besarnya noise bawah air. Selain itu, sifat air yang membiaskan cahaya dan tingkat kejernihan air turut berpengaruh terhadap kualitas gambar yang dihasilkan. Untuk membantu dalam mengidentifikasi obyek yang ada di bawah air, maka pada penelitian ini proses identifikasi dilakukan dengan menggunakan Convolutional Neural Networks (CNN). CNN mengekstraksi fitur penting dari gambar melalui beberapa lapisan konvolusi. Setiap lapisan konvolusi menggunakan filter untuk mendeteksi pola seperti tepi, sudut, atau tekstur dari gambar input. Pada tahap akhir, fitur-fitur yang sudah diproses ini dihubungkan ke lapisan fully-connected yang bertindak sebagai pengklasifikasi. CNN kemudian memetakan fitur-fitur tersebut ke dalam kelas-kelas tertentu , misalnya objek seperti botol, tiang kayu, rantai, dan propeller. Dari pengujian secara real-time sistem berhasil menunjukkan performansi yang baik dengan akurasi validasi sebesar 99.25% dan akurasi klasifikasi real-time sebesar 85%. Hasil klasifikasi selanjutnya menentukan pergerakan thruster ROV.
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.
The Effective Business Model for Commercialization of ROV Products in Indonesia Sutrisno, Imam; Budianto; Yuning Widiarti; Mohammad Basuki Rahmat; Rini Indarti; Dinda Pramanta; Pranowo Sidi
Bulletin of Community Engagement Vol. 5 No. 1 (2025): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v5i1.1709

Abstract

This research explores innovative business models for commercializing Remotely Operated Vehicles (ROVs) in the Indonesian market. By analyzing existing case studies and conducting interviews with industry experts, this study identifies potential business models such as ROV-as-a-Service, technology licensing, and joint ventures. The findings highlight the importance of tailoring business models to specific market segments and leveraging digital technologies to enhance operational efficiency and customer satisfaction. This research explores innovative business models for the commercialization of Remotely Operated Vehicles (ROVs) in the Indonesian market. Through case study analysis and interviews with industry experts, this research identifies and evaluates the potential of business models such as ROV-as-a-Service, technology licensing, and joint ventures. The research results show that the ROV-as-a-Service model has the most promising potential, with higher adoption rates among MSMEs due to the flexibility and cost efficiency it offers. In addition, this research also found that the integration of digital technology such as IoT and data analysis can increase ROV operational efficiency and provide added value for customers. These findings provide important implications for companies wishing to enter the ROV market in Indonesia, as well as for policy makers in supporting the development of the marine industry. The ideal number of case studies and interviews in a research depends on several factors, including: Depth of analysis: The deeper you want to dig into a phenomenon, the more cases need to be researched. Case variety: If you want to see a variety of business models or challenges faced by different ROV companies, you need to choose a variety of cases. Availability of resources: Time, cost, and accessibility to data will limit the number of case studies and interviews that can be conducted.
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.
Pemeliharaan Perawatan Motor Listrik Petani Tambak Udang Sebagai So-lusi Mengurangi Dampak Kerusakan Motor Listrik Perangkat Paddle Wheel Aerator Rahmat , Mohammad Basuki; Widiarti, Yuning; Widodo, Hendro Agus; Poetro, Jossianto Eko; Rochmawati, Nur Wakhidatur; Sheila, Sindy Yurisma
Bhakti Persada Jurnal Aplikasi IPTEKS Vol. 8 No. 2 (2022): Bhakti Persada Jurnal Aplikasi IPTEKS
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/bp.v8i2.77-84

Abstract

Pada beberapa tambak udang vaname di daerah Probolinggo memiliki permasalahan pada kincir air yang berfungsi sebagai aerator. Kurangnya pemeliharaan menyebabkan kondisi kincir air berlumut dan berkarat. Hal ini berpengaruh terhadap penurunan kinerja kincir air terutama pada bagian motor listrik sehingga pertumbuhan udang kurang optimal dan berdampak pada lamanya waktu panen.  Pemeliharaan secara rutin sangat diperlukan untuk mengurangi potensi kerusakan motor listrik pada kincir air.  Namun karena keterbatasan pengetahuan dan kompetensi petani di bidang motor listrik, maka aktivitas perawatan motor listrik sering terabaikan. Untuk mengatasi permasalahan ini, dosen Teknik Kelistrikan Kelistrikan Kapal PPNS  mengadakan kegiatan pengabdian kepada masyarakat  di Desa Sidopekso Kecamatan Kraksaan Problinggo agar dapat membantu meningkatkan hard-skill petani tambak dalam hal perawatan serta perbaikan motor listrik agar dapat meningkatkan hasil panen. Metode penelitian ini adalah menggunakan penelitian deskriptif kualitif yakni menggambarkan peristiwa yang terjadi secara menyeluruh. Teknik Pengumpulan data yang digunakan dalam penelitian ini adalah dengan observasi, wawancara dan dokumentasi. Hasil dari kegiatan pengabdian kepada masyarakat yang telah dilakukan adalah meningkatnya hardskill petani tambak udang serta mendapatkan pengetahuan dan juga wawasan tentang perawatan dan perbaikan motor listrik.
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.
Underwater Remotely Operated Vehicle Control System Ar-chitecture Sutrisno, Imam; Widiarti, Yuning; Priyonggo, Projek; Hartanto, Tri Mulyatno Budhi; Santosa, Ari Wibawa Budi; Nofandi, Faris; Gunarti, Monika Retno; Prawoto, Agus; Wahyuni, Anak Agung Istri Sri
Indonesian Journal of Innovation Multidisipliner Research Vol. 2 No. 2 (2024): June
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.
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%. 
Co-Authors Adam Maulana, Adam Maulana Adianto o, Adianto Adianto, Adianto Agus Khumaidi Agus Khumaidi Anggara Trisna Nugraha Ari Wibawa Budi Santosa Arifin, M. Firman Tsany Asri, Purwidi Astutik, Rina Puji Bashori, Achmad Budianto Budianto Budianto Budianto, Budianto Budiyanto, Ekky Nur C. I. Sutrisno Dewi Kurniasih Dika Rahayu Widiana Dika Rahayu Widiana Dimas Pristovani Riananda Dinda Pramanta Dwi Sasmita Aji Pambudi Faris Nofandi Fortunaviaza Habib Ainudin Gunarti, Monika Retno Gusti Audryadmaja, Anugerah Ekha Hamzah, Shipun Anuar Hartanto, Tri Mulyatno Budhi Hasin, Muhammad Khoirul Hendro Agus Widodo Hendro Agus Widodo, Hendro Agus Idris, Azlina 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 Moh. Nur Khojim Mohammad Basuki Rahmad Mohammad Basuki Rahmat Mohammad Basuki Rahmat Mohammad Basuki Rahmat Mohammad Basuki Rahmat, Mohammad Basuki Muhammad Imaduddin Afi Nur Wakhidatur Rochmawati Nurvita Arumsari Nurvita Arumsari Poetro, Jossianto Eko Pranowo Sidi Prasetiyo, Hendra Aldi Prawoto, Agus Projek Priyonggo Sumangun Lukitadi Purwanti, Endang Pudji Putri, K S H Rahmat , Mohammad Basuki Rahmat, M. Basuki Rahmat, Mohammad Basuki Rahmat, Mohommad Basuki Rakha Bagus Putra Pradana Rini Indarti Rini Indartini Rochmawati, Nur Wakhidatur Ryan Yudha Adhitya Salsabila Ika Yuniza Setiani, Vivin Setiawan, Edy Setijadi, Eko Setyawati, Emeralda Eka Putri Sheila, Sindy Yurisma Sholihah, Mar'atus Sindy Yurisma Sheila Sutrisno, Imam Wahyuni, Anak Agung Istri Sri Wibowo, Sekarsari Wismawati, Endah Yugowati Praharsi Zindhu Maulana Ahmad Putra