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Comparative Analysis of Slamming Phenomenon Prediction between U and V Hulls using Strip Theory Method Muhammad Luqman Hakim; Ahmad Firdaus; Gita Marina Ahadyanti; Totok Yulianto
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 19, No 3 (2022): October
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v19i3.46805

Abstract

Choosing the right hull shape is important in designing a ship, for example, a U-section or V-section of the hull. The hull shape will affect various aspects, such as design, resistance, seakeeping, structure and production. The ship hull must be properly designed so that it can operate according to the ship’s mission. From the seakeeping aspect of the ship's motion at sea, the difference in the hull shape will result in different motions and dynamic effects such as the slamming phenomenon. Based on the difference in the hull shape cases, this study analyzed the difference in the probability of slamming between the U and V hulls. Both hulls were made based on Formdata and almost all parameters were made the same. Parameters that cannot be forced to be the same are WSA (wetted surface area),  (coefficient of waterplane area), and  (distance of keel to buoyancy), where those parameters determine the difference in the results. The calculation of RAO (operator amplitude response) was obtained using the strip theory method which assisted by Maxsurf Motion software. The results became the input for the calculation of the slamming probability. The study results show that the U hull has a higher probability of slamming occurrence than that of the V hull, with the difference in values ranging from 20% to 35%. Therefore, the U hull will get more frequent slamming loads, so it has the potential to have a higher structural failure (fatigue) than that of the V hull.
Passengers and Crew's Evacuation from Passenger Ships Under Fire: An Agent-Based Model Simulation Study Ahmad Firdhaus; Imam Pujo Mulyatno; Muhammad Luqman Hakim; Zen Zen
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 20, No 1 (2023): February
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v20i1.50714

Abstract

The characteristics of the passengers have a significant impact on how the evacuation procedures are carried out. During an evacuation, the amount of time it takes depends on how quickly passengers move. There is a correlation between age and travel speed, but not always. As a result of this problem, a significant number of passengers were unable to make it to the assembly point in time for the evacuation, which may have resulted in fatalities. An evacuation simulation will be carried out aboard passenger ships in the event of a fire. This research will employ agent-based modeling to perform the simulation, and it will include modifications for day and night, as well as for the number of emergency stairs used. The findings of this study are the simulation times for the evacuation of passengers and crew for each scenario, with the shortest time for evacuation occurring during the daytime with operational emergency stairs, clocking in at 36.51 minutes, and the longest time for evacuation occurring during the night with damaged emergency stairs, clocking in at 47.43 minutes. Both times are given in minutes. According to the findings, the evacuation circumstances satisfied the standards set by the IMO, which demanded that the entire amount of time spent evacuating be less than or equivalent to sixty minutes
The necessity of implementing AI for enhancing safety in the Indonesian passenger shipping fleet Rahadi, Shinta J.A.; Prasetyo, Dimas Fajar; Hakim, Muhammad Luqman; Sari, Dian Purnama; Virliani, Putri; Rahadi, Cakra W.K.; Rina, Rina; Yulfani, R. D.; Mohammad, Luthfansyah; Kurnianingtyas, Diva
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 21, No 1 (2024): February
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v21i1.58868

Abstract

The shipping industry, grappling with escalating challenges, increasingly adopts Artificial Intelligence (AI) to enhance efficiency, safety, and environmental impact. Experts endorse ship automation and AI implementation for safety, navigation, and operational efficiency in ferry networks. This paper underscores AIS technology's role in maritime safety and environmental protection, emphasizing AI's potential in navigation and knowledge gap bridging. Indonesia, with its numerous islands and significant population, faces complex challenges in ensuring safe maritime transportation. Collaborative efforts among the government, industry, and stakeholders are vital for enhancing safety standards across the archipelago. Despite regulations, Indonesia contends with a high ferry accident rate, prompting the need for preventive measures. The study reviews AI's application in preventing sea accidents, recognizing its contributions and potential effectiveness in maritime safety. Acknowledging challenges like data quality and cybersecurity, the paper emphasizes the necessity of AI development for passenger ship safety. It concludes by highlighting significant research efforts, endorsing AI's promising role in reshaping the industry for improved efficiency and safety. Further exploration of AI applications, particularly in passenger ship safety, is recommended to meet evolving challenges in the maritime sector.
Analisis Strategi Penambahan dan Optimasi Fasilitas untuk Penurunan Dwelling Time di Pelabuhan Tanjung Emas Semarang Muttaqien, Muhammad Hafizh Imam; Budiarto, Untung; Hakim, Muhammad Luqman
Jurnal Teknik Perkapalan Vol 12, No 1 (2024): Januari
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dwelling Time dapat diartikan sebagai waktu yang dibutuhkan oleh peti kemas untuk meninggalkan suatu Pelabuhan. Rata-rata Dwelling Time di Terminal Peti Kemas Semarang berada diatas 3 hari, ini menunjukan bahwa Dwelling Time belum sesuai dengan standar Peraturan Menteri Perhubungan No.117 Tahun 2015. Permasalahan pada Dwelling Time dapat terjadi dikarenakan beberapa faktor seperti fasilitas yang kurang memadai dan arus peti kemas yang meningkat setiap tahunnya. Tujuan penelitian ini adalah untuk menganalisis arus peti kemas ditahun mendatang, menganalisis kinerja dari fasilitas yang optimal untuk menurunkan Dwelling Time, dan mengetahui persentase penurunan Dwelling Time. Penelitian ini menggunakan 3 metode analisis, yaitu metode peramalan dengan menggunakan Trend Analysis untuk mengetahui jumlah arus peti kemas di masa mendatang, metode analisis antrian untuk mengetahui performa fasilitas dan Response Surface Method untuk optimasi. Hasil analisis penelitian menunjukan agar Dwelling Time dapat turun dibawah 3 hari pada CY-05 dengan menggunakan fasilitas yang optimal yaitu 3 CC dengan kinerja 29 box/jam, 22 HT dengan kinerja 4 box/jam, dan 12 ARTG dengan kinerja 20 box/jam.
Analysis of empirical method for predicting maneuverability of ultra-large container ship using Maneuvering Modelling Group (MMG) model Zeinurrohman, Rangga; Trimulyono, Andi; Wicaksono, Ardhana; Hadi, Eko Sasmito; Samuel, Samuel; Hakim, Muhammad Luqman; Purwanto, Dedi Budi
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.016

Abstract

International Maritime Organization (IMO) provided manoeuvrability standards for all ships above 100 m to ensure the ship's safety and surroundings. In the preliminary design stage, one way to ensure a ship's manoeuvrability under IMO standards is to use empirical methods that are cheaper and less time-consuming than model tests. Empirical methods used analysis regression to develop their formula from the model test result database, and their formula depends on ship hull parameters and dimension ratios such as , , , and . However, the database of the existing empirical formulas is limited to small-medium merchant ships and fishing vessels, as consequences for larger ships are inaccurate and have a significant error in predicting ship manoeuvres. This study modified the existing empirical formulas by adding specified ship data into the existing database and analyzing the accuracy of predicting ship manoeuvres using the Maneuvering Modelling Group (MMG) model. We verify by adding the selected ship data into the existing database, which shows improvement in predicting ship manoeuvres. The modified formulas show improvement by only giving 5% RMSE of tactical diameter and 3% RMSE of ship advance in turning manoeuvre, and this is a 78% overall improvement in predicting the turning motion of ultra-large container ships compared to previous formulas. The quantitative and qualitative produce better estimation result that indicates the right track to derive the empirical formulas for Ultra-Large Container ships.
The Role of Cooperative Learning in Undergraduate Engineering Education: A Better Alternative to Teacher-Centered Learning Firdhaus, Ahmad; Hakim, Muhammad Luqman; Tuswan, Tuswan; Mursid, Ocid
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 4 No. 4: Juni 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v4i4.9362

Abstract

This comprehensive analysis examines the effectiveness of cooperative learning (CL) in undergraduate engineering education, contrasting it with traditional teacher-centered methods. The study finds that CL enhances academic performance and develops essential skills such as critical thinking, teamwork, and communication. Unlike passive teacher-centered methods, CL promotes active participation and collaborative problem-solving, better aligning educational outcomes with the demands of the engineering profession. The article highlights the limitations of teacher-centered learning, which often fails to foster deep understanding or student engagement. CL, involving students in diverse, role-defined groups, helps them connect theory to practice, particularly benefiting first-year students transitioning into collaborative environments. However, challenges to implementing CL include student resistance, higher instructor workload, and the need for effective group management. The study stresses the importance of faculty training, discipline-specific resources, and structured support to address these obstacles. Ultimately, the article advocates for a shift toward CL in engineering education, emphasizing its potential to prepare students for collaborative, dynamic engineering roles in a technologically advanced world.