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Sutrisno, Imam
Politeknik Perkapalan Negeri Surabaya
Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Performance Improvement Incremental Conductance Algorithm using Incremental Fuzzy to Reach GMPP under Partial Shading Conditions Sutrisno, Imam; Poetro, Joessianto Eko; Sidi, Pranowo; Herijono, Boedi; Kristiyono, Antonius Edy; Gunarti, Monika Retno
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.v9i1.20172

Abstract

This paper proposes an improved Maximum Power Point Tracking (MPPT) algorithm for photovoltaic (PV) systems under partial shading conditions. The proposed method enhances the widely used Incremental Conductance (IC) algorithm by incorporating an incremental fuzzy control technique. The conventional IC algorithm suffers from limitations in adapting to rapidly changing irradiation conditions due to its fixed step size. The proposed Inc-Fuzzy algorithm dynamically adjusts the step size based on the change in power and voltage, enabling it to better track the Global Maximum Power Point (GMPP) under partial shading. Simulation results demonstrate that the Inc-Fuzzy algorithm achieves an average accuracy of 98.29% under constant irradiation and outperforms the conventional IC algorithm by 1.69% in terms of captured power during sudden irradiation changes. This improvement highlights the effectiveness of the Inc-Fuzzy approach in enhancing the performance of MPPT for PV systems under challenging operating conditions.
Overflow Analysis on the FO Purifier of KM Tanto Sukses Vessel Sadewo, Bagas; Prawoto, Agus; Rahayu, Trisnowati; Nugroho, Azis; Nasri, Nasri; Syahputra, Rama; Sutrisno, Imam
International Journal of Marine Engineering Innovation and Research Vol 10, No 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.22897

Abstract

This research aims to analyze the factors that cause overflow in the fuel oil purifier system and to identify measures that can be taken to address this issue using the Failure Mode and Effect Analysis (FMEA) method. Overflow in the fuel oil purifier can disrupt the fuel purification process, which is crucial for engine performance. Therefore, understanding the causes and appropriate solutions is essential. The analysis results indicate that the factors causing overflow include leakage or wear of vital components such as O-rings, gravity discs, belts, bowls, main seal rings, ball bearings, nozzles, and pilot valves, as well as improper installation of components or blockages due to debris obstructing the flow. Overflow can be managed through regular inspections of components prone to wear or damage, routine cleaning of components that are susceptible to clogging, and continuous monitoring and calibration of the system to ensure the purifier operates optimally. By implementing these measures, the fuel oil purifier system is expected to function efficiently, reduce the risk of overflow, and enhance the reliability of the fuel purification process.
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%. 
Load Cell Failure Risk in Tandem Mobile Crane Lifting: A Fuzzy Fault Tree Analysis Approach Pradana Putra, Fatich; Ardi Nugroho, Priyambodo Nur; Sutrisno, Imam
International Journal of Marine Engineering Innovation and Research Vol 10, No 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.22951

Abstract

Load cell is an critical component in the tandem lifting system using a mobile crane that functions to measure the load accurately. Damage to the load cell can cause operational failure and increase the risk of accidents. This study aims to analyze the potential for load cell damage using the Fuzzy Fault Tree Analysis (FFTA) approach. FFTA combines fault tree logic with fuzzy theory to clarify risk assessment. By collecting data from study literature, interviews and historical equipment data, the analysis results obtained that the factors causing load cell damage include overload factors, damage factors to load cell components and environmental factors. And through the FFTA method, namely the damage factor to the load cell component with a weighting value of 0.1840 or 47%. The contribution of this study is to provide a systematic approach to identifying and evaluating the risk of load cell damage, which can be used as a basis for improving inspection programs and preventive maintenance on tandem lifting using a mobile crane. This approach can also support management decision making in improving the reliability and safety of lifting equipment.
Analysis Of The Influence Of F.O Purifier Maintenance On The Performance Of The Main Engine On The KM. Logistik Nusantara 2 Ship Ajie, Satrio Wibowo; Kristiyono, Antonius Edy; Pribadi, Teguh; Nasri, Nasri; Simatupang, Rama Syahputra; Sutrisno, Imam
International Journal of Marine Engineering Innovation and Research Vol 10, No 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.22850

Abstract

The performance of a diesel engine is greatly influenced by fuel. Diesel engines really need clean fuel so that engine combustion is maximized. Many companies today prefer fuel oil because it is cheaper than other fuels but fuel oil is still contained by water, mud and dirt so it requires a purifier aircraft to separate the fuel from these impurities. The purpose of this study is to find out how the results of diesel engine combustion are if maintenance is carried out on the purifier periodically. This research method uses descriptive qualitative. The data source was obtained directly by means of observation and documentation as well as literature related to this research which was carried out during the sea project for 12 months at KM. NUSANTARA LOGISTICS 2
Analysis of Causes of Starting Failure on Auxiliary Engine MT Green Stars with HAZOP Method Rahman, Ardiansyah Nur; Robbi, Shofa Dai; Gupron, Akhmad Kasan; Nugroho, Aziz; Nasri, N.; Simatupang, Rama Syahputra; Sutrisno, Imam
International Journal of Marine Engineering Innovation and Research Vol 10, No 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.22861

Abstract

Air motor starter is a component that functions to rotate the engine auxiliary flywheel to move the piston for the first combustion to occur. In this system, high-pressure air from a compressor or air tank is used to drive a starter motor that is directly connected to the engine crankshaft. As the starter motor operates, pressurized air is channeled into the starter motor cylinders, creating a rotational movement on the shaft that eventually rotates the auxiliary engine crankshaft. Air motor starters on MT Green Stars are essential for the auxiliary engine starting system on board MT Green Stars. This study aims to analyze the factors that cause the failure of auxiliary engine start failure caused by the rupture of the starter motor water bearing and the impact on the auxiliary engine. This research uses a descriptive analysis method using HAZOP data analysis techniques and data collection from observations, logbooks, journals, manual books, and interviews The research was conducted on the MT Green Stars ship which has three auxiliary engines and is experiencing problems with the starting system. Based on the research, failure factors in auxiliary engines are caused by several factors, namely starter motor water, injectors, starter motor water, and fuel filters. The impact of auxiliary engine start failure causes failure of the electrical system, system, pump, hydraulic and pneumatic system disorders, work efficiency disorders, risk of damage to the main engine, and safety and regulatory disorders. To handle it, maintenance needs to be carried out, both preventive maintenance and breakdown maintenance. The suggestions that researchers make are to routinely carry out maintenance according to PMS (Planned Maintenance System), carry out toolbox meetings, check especially auxiliary engines
Co-Authors Adianto, Adianto Ajie, Satrio Wibowo Ardi Nugroho, Priyambodo Nur Budianto, Budianto Gunarti, Monika Retno Gupron, Akhmad Kasan Herijono, Boedi Kristiyono, Antonius Edy Kristiyono, Antonius Edy Nasri, N. Nasri, Nasri Nugroho, Azis Nugroho, Aziz Poetro, Joessianto Eko Pradana Putra, Fatich Prasetiyo, Hendra Aldi Prawoto, Agus Pribadi, Teguh Rahayu, Trisnowati Rahman, Ardiansyah Nur Rahmat, Mohammad Basuki Robbi, Shofa Dai Sadewo, Bagas Setiawan, Edy Sidi, Pranowo Simatupang, Rama Syahputra Simatupang, Rama Syahputra Syahputra, Rama Widiarti, Yuning