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Nurir Rohmah
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Jurnal Techno Bahari
Published by Politeknik Negeri Madura
ISSN : 24068829     EISSN : 27468399     DOI : -
Core Subject : Science, Engineering,
Electrical & Electronics Engineering Energy Mechanical Engineering Transportation
Focus and Scope This journal encompasses original research articles, including: Technology Science Machinery Engineering Mechanical Engineering Shipbuilding Engineering Electrical Engineering (Electronics)
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol 9 No 2 (2022)" : 6 Documents clear
ANALISIS PENGEMBANGAN INDUSTRI KOMPONEN KAPAL DI DOK PANTAI LAMONGAN Hidayat, Nasrul
Techno Bahari Vol 9 No 2 (2022)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v9i2.128

Abstract

Ship components industry has a very important role in shipbuilding industry development. It because the economic's scale of national shipbuilding industry has not been able to support this industry’s development. The Government's program to support the local ship production is an opportunity for the development of local ship parts industry, especially with the ship standardization policy. This paper is analyzing both the potential of ship components industry development based on the most affected factors using AHP (Analytical Hierarchy Process) method and the ship component industries development with case study of 750 DWT Pioneer Vessel. Based on the results of research, Hull Construction group of components has the most potential to develop which has the biggest cost weight percentage to total ship production cost. Hull Construction group of components is selected by the result of AHP analysis with considering the characteristics of the components and have the highest possibilities to develop the industries.
BOOST CONVERTER DESIGN FOR ELECTRIC WHEEL CHAIR CHARGING STATION WITH SOLAR PANEL SOURCE: RANCANG BANGUN BOOST CONVERTER UNTUK CHARGING STATION KURSI RODA LISTRIK DENGAN SUMBER SOLAR PANEL Mahendra, Moh. Rifqi
Techno Bahari Vol 9 No 2 (2022)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v9i2.140

Abstract

Public facilities must support electric wheelchair users which of course must refer to the Sustainable Development Goals (SDGs) of clean and affordable energy. The solar panel-based charging station will assist users in charging electric wheelchair batteries. Users are expected to no longer worry about the battery running out in the electric wheelchair when outside the home and the battery adjusts from the electric wheelchair, which is 25.9V 6000mAh. The research method used is by utilizing solar panels as a source to charge the battery. From the solar panel source, the voltage and current will be read using a voltage sensor, where the voltage sensor will read the Analog Digital Converter (ADC) value through the ArduinoUNO microcontroller to convert the value, the voltage coming out of the solar panel is used for charging with a boost converter. when the voltage that comes out of the solar panel is known, the battery will charge with a constant voltage of no more than 32.4V. The battery charging circuit uses a boost converter circuit. The charging process is carried out until the battery is fully charged at a voltage of 29.4V, after the charging process is carried out to a voltage of 29.4V, the integration of charging control with the BMS monitors the State of Charge when it is full, the charging is disconnected so that there is no overcharging to the battery and can minimize damage to the battery
RANCANG BANGUN MESIN CNC UKIR KAYU DENGAN 3 SUMBU MENGGUNAKAN MIKROKONTROLLER : RANCANG BANGUN MESIN CNC UKIR KAYU DENGAN 3 SUMBU MENGGUNAKAN MIKROKONTROLLER Fashiha Ilman, Abdillah
Techno Bahari Vol 9 No 2 (2022)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v9i2.176

Abstract

The Abstract — The development of technology in the current era is growing rapidly, one of its uses is to be able to help industrial processes on a small or large scale. One technology that is developing rapidly is the CNC Wood carving machine. The problems that often arise in the process of the furniture industry are the limited number of workers with large orders. Therefore, in this study designing a CNC wood carving machine with 3 axes using a microcontroller as one way out to overcome these problems. The three x, y, z axes on the equipment will move in an orderly manner according to the code that has been made previously, using a stepper motor controlled by a microcontroller. while for the engraving process using a Wood Trimmer M-2700 motor. This equipment is still in prototype form which has dimensions of 80 cm x 60 cm and a maximum work area of ??30 cm x 30 cm. This equipment utilizes a code to command the machine to perform engraving automatically. The code is obtained from an image that has been designed and then converted to G-code through the Aspire 9.0 software. This machine is capable of engraving with the smallest size of 2 mm. The engraving process can be carried out at a speed of 0.62 cm/s and the measurement has an error rate of below 5%. This research can be developed so that it can help and encourage the process of the furniture industry in the wider community. Keywords: CNC, G-Code, Microcontroller, Stepper Motor, Wood Trimmer M-2700
Perbandingan Cascade Forward Neural Network dan Feed Forward Neural Network untuk Prediksi Keluaran Daya PV di PLTH Pantai Baru Bantul Mahmudah, Norma; Millah, Ibrahim Saiful; Afandi, Achmad
Techno Bahari Vol 9 No 2 (2022)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v9i2.214

Abstract

Solar power plants have several advantages, namely continuous production, reduced electricity demand, low maintenance of Photovoltaic (PV) and PV life of more than 30 years, so that the use of solar panels can be optimized by using PV power output predictions. The goal is to determine the PV power output for the future. PV power output prediction can use Artificial Neural Network (ANN). In this study, a comparison was made of PV power output predictions using the Cascade Forward Neural Network (CFNN) and Feed Forward Neural Network (FFNN) using the Levenberg-Marquard Algorithm as the activation function of the PV power output prediction learning process. The magnitude of the error is calculated using the Mean Square Error (MSE). From the results of research using the Cascade Forward Neural Network (CFNN) method with the Levenberg-Marquard algorithm, it is obtained that the MSE results are better at a learning rate of 0.1 with an MSE of 0.0042% while for the Feed Forward Neural network (FFNN) it also uses the Levenberg- Marquard obtained MSE results of 0.007% with a learning rate of 0.05. The research results show that CFNN gives the best MSE value, so that the smallest MSE value is used as a reference in energy management systems to predict PV power output.
Analisa Kerusakan Pipa Bawah Laut Akibat dari Kejatuhan Jangkar Aldara, Desta Rifky; DewI, Retno Syahriawati; Mulananda, Arisessy Maharani
Techno Bahari Vol 9 No 2 (2022)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v9i2.215

Abstract

Subsea pipelines have several risks that can cause damage to the surrounding environment if damage occurs. Several factors can cause subsea pipeline failure, such as: third party errors, corrosion, design errors, and operational errors. Literature and historical reviews of subsea pipeline failures and incidents indicate that third party factors are responsible for 38% of subsea pipeline failures. Common factors from the category of third party errors that can cause pipeline failure include: fishing activities, commercial ship activities (emergency anchoring, dragged anchor, dropped containers, and ship sinking), and ship construction activities. The main focus of this assessment is the analysis of damage to the subsea pipeline caused by the anchor fall. Damage calculations based on the DNVGL RP F107 standard were compared with simulations using the FEM application. Based on the damage analysis carried out, the underwater pipeline was damaged in the protective concrete layer and experienced dents. Therefore, external protection using the gravel buried method is recommended to protect subsea pipelines from falling anchors. The total investment value required for the installation of the shield is Rp. 4,853,181,463.
Aplikasi Ca(OH)2 Untuk Limbah Kegiatan Pickling dengan Metode Netralisasi dan Presipitasi Astri Rino Okvitasari
Techno Bahari Vol 9 No 2 (2022)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v9i2.220

Abstract

Pickling activity is a process of washing stainless steel pipes to remove impurities attached to the pipes. The pickling solution is made of acidic substances, so the end result of the pickling activity produces waste called water rinse. Water rinse can still be disposed of into the WWTP water bodies in industrial areas, as long as it meets the quality standards. The use of the neutralization and precipitation methods using Ca(OH)2 agent of 0.56 kg/day for the capacity of 1 tub of water rinse with a volume of 2,043 m3 is able to provide a percentage removal of Fe as much as 100%, Cr 100%, and Ni 99.99%. Where in this method produces as much as 574.10 grams of sludge every day which contains heavy metals.

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