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Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI)
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 26552337     EISSN : 27213560     DOI : 10.12962/j27213560
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering
Jurnal Aplikasi Mekatronika, Otomasi dan Robot Industri merupakan media bagi para peneliti untuk mempublikasikan hasil penelitiannya yang berkualitas tinggi dalam bidang mekatronika, otomasi dan robot industri. Makalah yang dimuat dalam jurnal ini mencakup hasil riset ilmu dasar, ide-ide inovasi dan aplikasi dalam bidang tersebut, yang diusulkan oleh para peneliti, innovator ataupun tenaga ahli dari seluruh wilayah Indonesia. Topik-topik yang termasuk dalam bidang ini diantaranya : Sistem Kontrol, Elektronika, Sistem Pengolahan Data, Mekatronika, Internet of Things, serta Aplikasinya pada Dunia Industri Skala Kecil dan Besar.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 3 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2025): July" : 3 Documents clear
Evaluation of cctv placement in industrial areas using the simple additive weighting method Wijaya, Koko Lendra; Nurhadi, Hendro
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 4 No. 1 (2025): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

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Abstract

Determining the optimal placement of CCTV cameras in industrial environments is a critical challenge, often complicated by complex layouts, varying operational requirements, and limited resources. This study applied the Simple Additive Weighting (SAW) method to evaluate and prioritize camera placement in four main zones: Production Process Zone, Product Storage Zone, Product Loading Zone, and Access Door/Perimeter. Three multi-criteria decision-making factors were considered: area coverage, installation cost, and operational efficiency of surveillance. The SAW method allows for structured and data-driven analysis, normalizing and weighting each criterion to calculate a final score for each zone. The results revealed that the Product Storage Zone achieved the highest priority score (0.99), followed by the Product Loading Zone (0.84), Access Door/Perimeter (0.77), and Production Process Zone (0.71). These priorities are not in line with the results of the security officer preference survey, but are in line with the opinions of CCTV experts and company managers according to the operational needs of the zones. These findings underscore the effectiveness of the SAW method in providing objective and transparent decision-making for CCTV placement. By integrating quantitative analysis into the design of surveillance systems, this approach optimizes resource allocation and enhances industrial safety. Future research is encouraged to explore the integration of SAW with advanced technologies, such as artificial intelligence and the Internet of Things (IoT), for dynamic and real-time surveillance solutions.
A comparative study of pi and eems on emu for hybrid fuelcell power systems Ekatiara, Cindy Reviko; Indriawati, Katherin
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 4 No. 1 (2025): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

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Abstract

This study investigates the Energy Management Unit (EMU) for a hybrid power system integrating PEMFC, batteries, supercapacitors, and Photovoltaic (PV) as renewable energy sources. The EMU is designed to support power supply, reduce the load on the PEMFC, and enhance operational efficiency and reliability. It intelligently manages power distribution by adjusting the use of energy sources based on system conditions, such as battery state of charge (SOC), load changes, or PV energy availability. Two types of management algorithms used in the EMU were tested: Proportional Integral (PI) and External Energy Management Strategy (EEMS). The comparison results show that EEMS outperforms PI in terms of stability and efficiency, with an average efficiency of 88.85% for EEMS compared to 88.77% for PI. Furthermore, the EEMS method demonstrates superior performance by maintaining minimal fluctuations ranging from 0.02 to 0.03, even under dynamic load conditions, while the PI method shows greater fluctuations, varying between 0.05 and 0.08.
Design and performance testing of a safety instrumented system for water level control simulator using plc with cause-effect matrix implementation Mujiyanti, Safira Firdaus; Ahmadi, Fadhil; Patrialova, Sefi Novendra; Adziimaa, Ahmad Fauzan; Wahyu Nugroho, Dwi Oktavianto; Nanta, Tepy Lindia
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 4 No. 1 (2025): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

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Abstract

Safety Instrumented Systems (SIS) are widely employed in industrial settings to ensure operational safety and prevent system failures that could pose risks to the environment, personnel, and assets. This research presents the design of an SIS for a water level control system, utilizing Programmable Logic Control (PLC) to enhance safety and mitigate the risk of leakage or flooding. The SIS design is developed based on the Layers of Protection Analysis (LOPA) methodology, incorporating multiple protective layers, including water level measurement instruments, controllers, and final control elements to manage risk effectively. Following the LOPA-based design process, system testing was conducted using a cause-and-effect matrix to evaluate performance under various operational scenarios. The findings indicate that implementing SIS in water level control systems significantly enhances operational safety. In simulated test conditions, the SIS effectively detected potentially hazardous situations, such as excessive water levels that could lead to overflow or dangerously low levels that might disrupt process continuity. The system then executed appropriate mitigation measures, such as alerting operators or automatically shutting off water flow, to prevent accidents and equipment damage. The results demonstrate that integrating an SIS into water level control systems provides substantial benefits in managing operational risk, ensuring system reliability, and safeguarding industrial processes.

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