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Simulation of arrow-shaped micromixer with obstacles in blood plasma mixing

AIP Conference Proceedings 2024年第1期3080卷

作者： Ziyan Muhammad Aqsha Basari Mohammad Akita Indianto Ridho Irwansyah Muhammad Satrio Utomo Siti Fauziyah Rahman Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia Energy Systems Engineering Graduate Program Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia Department of Mechanical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia Research Center for Metallurgy National Research and Innovation Agency Komplek PUSPIPTEK Setu Tangerang Selatan Banten 15314 Indonesia

In recent years, several applications of micromixers have been reported to have a number of advantages, including the use of small amounts of plasma, short reaction times, and good reaction efficiency. The samples analyzed in this study were blood plasma and distilled water. The process is carried out by passive mixing which is based on a microchannel structure to enhance the diffusion of molecules for efficient mixing. The arrow shape was chosen as the micromixer design because it has a better blending performance than the T and Y shapes. The types of obstacles also used to improve the mixing process. The simulation was carried out on COMSOL Multiphysics software version 5.6. The results showed better mixing results for the micromixer design with triangle right facing obstacles with the highest Reynolds number was 9.4326. Then followed by ellips obstacles with a value of 9.4322, then without obstacles that is 9.4309, after that the triangle left facing with a value of 9.4006, and finally the lowest Reynolds number is a design with a diamond obstacles of 9.2514.

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A Detailed Analysis for the Performance of Artificial Intelligence System in Voice Recognition and its Classifications

A Detailed Analysis for the Performance of Artificial Intell...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Lamhot Naibaho Richa Mishra Dr. Ritu Gautam Suresh Babu Rajasekaran Dr Amaresh Jha Durgaprasad Gangodkar Faculty of Letters and Languages English Language Education Study Program Christian University of Indonesia Department of CSE Parul Institute of Engineering and Technology Parul University Vadodara Gujarat India Sharda School of Law Sharda University Greater Noida U.P. INDIA Group Product Manager United State School of Modern Media University of Petroleum and Energy Studies Department of CSE Graphic Era Deemed to be University Dehradun Uttarakhand India

Artificially intelligent machines possess cognitive capabilities that are comparable to those of human beings. Voice detection algorithms and methods have been developed for the purpose of identifying, differentiating, and verifying speakers. The amalgamation of speech recognition technology and artificial intelligence has facilitated advancements on a global scale. The implementation of conversational artificial intelligence (AI) holds the capacity to significantly transform the market. Law enforcement agencies could potentially employ this technology to identify perpetrators based on their speech patterns. Large-scale social gatherings can provide numerous benefits to researchers across various domains. This technology exhibits the capacity to benefit both the educational sector and the medical and healthcare domain.

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Disaster Robot Navigation using Behavior-based Systems 3

Disaster Robot Navigation using Behavior-based Systems

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3rd International Conference on Applied Science and Technology, iCAST 2020

作者： Kuswadi, Son Tamara, Mohamad Nasyir Brahmantio, Bagoes Taufiq Sugiharto, Debynata Mohammad, N.U.H. Mechatronic Study Program Machanical and Energy Department Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Mechatronic Study Program Machanical and Energy Department Politeknik Negeri Banyuwangi Banyuwangi Indonesia PT Prima Nurjwan Samudera Indonesia Group Jakarta Indonesia PT Pabrik Kertas Tjiwi Kimia APP Sinar Mas Group Sidoarjo Indonesia Biomedical Engineering Department Faculty of Inteliigent Electrical and Informatics Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781728195674

In a natural disaster, it is often necessary to have an autonomous system capable of moving in an irregular and unpredictable area. This paper proposes a robot that is mechanically capable of moving in a disaster area and equipped with a navigation using behavior-based systems. Its mechanical, electronic and computing systems are described. The development of the primitive behavior that has been made is explained in detail. Several experiments have been carried out to show the performance of the proposed robotic systems. © 2020 IEEE.

关键词： Disasters

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Evaluating the impacts of environmental and human health of the critical minerals mining and processing industries in Indonesia using life cycle assessment

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Case Studies in Chemical and Environmental engineering 2024年 10卷

作者： Wahyono, Yoyon Sasongko, Nugroho Adi Trench, Allan Anda, Martin Hadiyanto, Hadiyanto Aisyah, Nyayu Anisah, Anisah Ariyanto, Novy Kumalasari, Isnaeni Putri, Virny Zasyana Eka Lestari, Mutia Citrawati Panggabean, Lambas Parlaungan Ridlo, Rohmadi Sundari, Sundari Suryaningtyas, Anissa Dewi Novianti, Endah Dwi Hakim, Muhammad Raihan Farras Prihatin, Anggara Lomak Matin, Hashfi Hawali Abdul Research Center for Sustainable Production System and Life Cycle Assessment National Research and Innovation Agency - BRIN Prof. BJ. Habibie Complex Area Banten Tangerang Selatan 15314 Indonesia Energy Security Graduate Program Republic of Indonesia Defense University IPSC Sentul Area West Java 16810 Indonesia Centre for Exploration Targeting School of Earth Sciences The University of Western Australia 35 Stirling Highway Crawley 6009 WA Australia UWA Business School 35 Stirling Highway Crawley 6009 WA Australia Environmental Engineering Murdoch University Murdoch 6150 WA Australia Doctoral Program of Environmental Science School of Postgraduate Studies Diponegoro University Central Java Semarang 50241 Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Central Java Semarang 50275 Indonesia Department of Mechanical Engineering Vocational School Gadjah Mada University Sleman Yogyakarya 55281 Indonesia Study Program of Environmental Science Faculty of Mathematics and Natural Science Universitas Sebelas Maret Central Java Surakarta 57126 Indonesia

The critical minerals industries in Indonesia may pose possible environmental and human health risks due to the release of pollutants into soil, water, and air, as well as the use of materials and energy. This study investigates the possible environmental and human health impacts of Indonesia's nickel, gold, copper, tin, and bauxite mining and processing industries. This study utilizes the latest version of the OpenLCA software, version 2.0, in combination with the Ecoinvent 3.8 database. To evaluate potential environmental consequences and health effects on humans, CML-IA Baseline and Environmental Priority Strategies (EPS) are employed in product development. The EPS system was developed utilizing a hierarchical methodology with the objective of furnishing the product developer with data regarding the financial impact of human health impairment resulting from a particular product development. The production of one tonne of gold, nickel, bauxite, tin, and copper results in the emission of 7.34.E+07, 4.61.E+04, 3.10.E+04, 1.02.E+04, 8.01.E+03 kg CO₂ eq/t, respectively, contributing to global warming. This production is associated with asthma cases of 7.79.E+01 (gold industry), 2.21.E−03 (copper industry), 1.81.E−03 (tin industry), 9.21.E−04 (nickel industry), and 4.71.E−06 (bauxite industry) Personyears/t. Electricity consumption and the release of carbon dioxide are the main factors contributing to global warming. The primary cause of asthma cases is the utilization of fuel oil and electricity. Power plant chimneys can employ various technologies, such as cyclones, bag filters, and scrubbers, to mitigate the release of polluting gas emissions. The critical mineral industry must prioritize handling and governing of steam power facilities to minimize their negative effects on the environment and human health. © 2024 The Authors

关键词： Critical minerals industries Environmental impacts Human health impacts Life cycle assessment

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Improving loss of load probability through biomass power plant integration: A case study in Tanjung Balai Karimun 2

Improving loss of load probability through biomass power pla...

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2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Sunarwoko Elsafan, Erick Suhaimi, Lalu Hudaya, Chairul Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok Indonesia Department of Metallurgy Engineering Faculty of Engineering Universitas Teknologi Sumbawa NTB Indonesia

ISBN: (纸本)9781728128252

Many regions in Indonesia are still lack of electricity due to geographical condition in the form of archipelago, including Tanjung Balai Karimun District, in Kepulauan Riau Province, Indonesia. Therefore, using local renewable resources to fulfill load demand is better than relying on utility grid. The potential of using biomass waste, for instance oil palm and coconut residues, as renewable energy resources should be an optional decision to make improvement, not only for the reliability of existing power system itself but also to meet the load demand generally available in every region of Indonesia. In 2016, Karimun Regency in Riau Islands Province as a Special Economic Zone (SEZ) is growing rapidly in economic and facing electrical energy crisis simultaneously. Addressing this problem, the government has taken an action by making amendment on the policy that consciously planned to increase the capacity of power plants, in particular Oil and Gas Power Plants (OGPP) in the period of 2018-2024. The objective of this study is to evaluate the reliability of Tanjung Balai Karimun power system based on its Loss of Load Probability (LOLP) index designed during the planning period of power plant addition. Then, the value of new LOLP index was recalculated after integrating new system of Biomass Power Plant (BPP). Based on LOLP calculation using recursive method, LOLP index in 2018 decreased from 3.63 days/year to 2.05 days/year, reflecting quality improvement of the power plant reliability. Integrating BPP into the existing power plant has powered up the capacity of 2.8 MW according to the availability of oil palm and coconut biomass waste. © 2019 IEEE.

关键词： Biomass

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Stress analysis of flying V-like non-conventional aircraft structures using finite element method

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AIP Conference Proceedings 2023年第1期2941卷

作者： Julius I. Permana Annisa Jusuf Bambang K. Hadi Arief Yudhanto Aerospace Engineering Study Program Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung (ITB) Ganesha 10 Bandung 40132 Indonesia Lightweight Structures Research Group Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung (ITB) Ganesha 10 Bandung 40132 Indonesia Mechanics of Composites for Energy and Mobility Laboratory Mechanical Engineering Program Physical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

The stresses that occurred on the structures of a flying wing aircraft exemplified by the Flying-V structures (inspired by the design of Dr. Justus Benad of TU Delft) were evaluated using the finite element method to ensure a safe cruise condition. Two materials, i.e., aluminum alloy and carbon/epoxy composites, were defined in the analysis of the conceptual sub-structures (frame, longeron-stringer, spar-fuselage, ribs, spar wing, and upper and lower skin). These conceptual sub-structures do not necessarily represent the actual design of the Flying-V, although they may be adopted as the initial step. Structural optimization was performed with two objectives: (i) to minimize the sub-structural thickness of fully aluminum aircraft and (ii) to minimize the sub-structural thickness and laminate stacking sequence of fully composite aircraft. To this end, the stresses and wing-tip deflection were minimized. The analysis showed that carbon/epoxy composite is a feasible material to minimize the wing-tip deflection and weight compared to the aluminum alloy. The minimization of wing-tip deflection and weight was possible using a composite lay-up of quasi-isotropic, either (0/45/-45/90)s or (0/45/90/-45)s. Here, the finite element analysis provides a path to further the structural optimization of the non-conventional flying wing aircraft.

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Revealing the shear-wave velocity structure of Tangkuban Parahu Volcano, West Java, Indonesia using Ambient Noise Tomography

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Journal of Volcanology and Geothermal Research 2025年 465卷

作者： Aditya Lesmana Awali Priyono Andri D. Nugraha Zulfakriza Shindy Rosalia David P. Sahara Rexha Verdhora Ry Sri Widiyantoro Wahyu Hidayat Faiz Muttaqy Devy Kamil Syahbana Ahmad Basuki Kristianto Geophysical Engineering Study Program Faculty of Minning and Petroleum Engineering Institut Teknologi Bandung Bandung 40132 Indonesia Global Geophysics Research Group Faculty of Minning and Petroleum Engineering Institut Teknologi Bandung Bandung 40132 Indonesia Research Center for Disaster Mitigation Institut Teknologi Bandung Bandung 40132 Indonesia Faculty of Engineering Maranatha Christian University Bandung 40164 Indonesia Geophysical Engineering Study Program Faculty of Technology Mineral and Energy UPN Veteran Yogyakarta 55283 Indonesia Research Center for Geological Disaster National Research and Innovation Agency (BRIN) Bandung Indonesia Center for Volcanology and Geological Hazard Mitigation (CVGHM) Geological Agency (GA) Jalan Diponegoro No. 57 Bandung 40122 Indonesia

We present a shear-velocity model for the Tangkuban Parahu Volcano (TPV) using ambient seismic noise tomography. We used data from a three-month 55-temporary netwok deployed between October 2021 and February 2022. We cross-correlated the vertical components at each station to extract an empirical Green's function, to generate group velocity maps within the periodicity range of 1 to 6.5 s. We then construct a three-dimensional model of shear-wave velocity to a depth of 5 km below the summit. Our analysis revealed distinct patterns of high and low velocity values, associated with the presence of the old Sunda caldera, unmapped local structures, and surface geothermal manifestation around TPV. We identified low velocity zones indicative of shallow reservoirs and pathways for magma migration from the subsurface to surface crater. Additionally, high velocity zones observed, correspond to cooled magmatic bodies.

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Comparison design of electric motorcycles using hybrid systems (BLDC motor) on 150Cc motorcycles based on parameter testing

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AIP Conference Proceedings 2023年第1期2592卷

作者： Pawenary S. Azzahra Hastuti Azis H. Andre A. S. Prabuwono Electrical Technology Study Program Faculty of Electricity and Renewable Energy PLN Institute of Technology Jakarta Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Andalas Padang Indonesia Rabigh Faculty of Computer and Information Technology (FCITR) King Abdulaziz University Jeddah Saudi Arabiaa

This study aims to know the comparison design of electric motorcycle using hybrid systems (BLDC Motor) based on parameter testing, i.e., with and without load. The design of electric motorcycles is centered on determining a feasibility study comparing engine drive with electric drive. Electric vehicles are the answer to decreasing petroleum supplies and environmental concerns that are worsening every year due to oil-fueled cars’ exhaust emissions. The proportion of motor vehicle exhaust as an air pollution source is between 60 and 70 percent. The global decrease of fossil fuels is also a critical issue that has yet to be handled. A descriptive statistic methodology was employed in this work as an analytical tool. The results showed when the speed increases, the efficiency of the BLDC motor would increase; this is, of course, following the principle of Orsted’s law and Lorentz force. When compared to the no-load test, the efficiency by using the load will be greater because when the BLDC motor works with a load, it will require greater torque due to an increase in load so that it takes a large amount of power so that it will increase the efficiency of the BLDC motor. When compared in terms of using the battery, the time of using the battery with no load will be longer because it does not require too much current.

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Prediction of electricity load growth of tangerang city using SIMPLE-E 2

Prediction of electricity load growth of tangerang city usin...

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2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Putra, Andi Aulia Nayusrizal, N. Untari, Indira Wibisono, Gunawan Hudaya, Chairul Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Trunojoyo Block M-I No.135 Jakarta12160 Indonesia

ISBN: (纸本)9781728128252

The electricity load growth should be planned appropriately to meet energy demand in a certain area. Electricity consumption growth is generally proportional with the economic and population growth. Using historical data on Gross Domestic Regional Product (GDRP) and population growth, the electricity load growth in the near future can be statistically predicted. The relationship between economic and population growth trend and total customers as well as the demands of contract electricity energy growth trend could be connected by the linear regression method to predict electricity energy consumptions. Through a Simple Econometric Simulation System (SIMPLE-E) program run in Microsoft Excel application, linear regression trend can be calculated. The purpose of study is to predict the growth of electricity consumption in Tangerang City-Indonesia, for the next ten consecutive years (2019-2028). Customer data that will be analyzed consist of five segments, which are Residential (R), Commercial (B), Industry (I), Public (P), and Social (S). Those can be combined with Gross Regional Domestic Product and human population using Multiples Linear Regression in SIMPLE-E. The correlation between dependent variables (total customers and contract of power) and independent variables (population and GRDP) will be computed in SIMPLE-E through rate value of correlation R, Adjusted R, and Durbin Watson test. The Actual trend data of total customer, contract power from 2012 to 2018, is compared to model equation from linear regression. The calculation of error use Root Mean Square Percentage Error and Mean Percentage Error, shows that the total error is less than 5%, meaning the simulation is scientifically accepted. This study shows that the average growth of electricity consumption in Tangerang city from 2019 to 2028 is 5.63%. It means that every 1% growth of economy in Tangerang will increase electricity load consumption for 0.94%. © 2019 IEEE.

关键词： Errors

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Review of smart grids advancements of energy mix sources

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AIP Conference Proceedings 2023年第1期2746卷

作者： A. N. Woro W. M. W. Muda A. Z. Annuar B. Syaiful Electrical Engineering Study Program Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 2103 Kuala Nerus Terengganu Malaysia Electrical Engineering Department Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia. Centre for Nuclear Reactor Technology and Safety National Nuclear Energy Agency of Indonesia Tangerang Selatan Banten Indonesia

The successful implementation of smart grids depends on energy efficiency, mostly relying on the operation of electricity source infrastructure. The combination of energy sources undoubtedly provides complexity in real applications. Some of the challenges for a smart grids comes from the intermittent renewable energy characteristics such as bioenergy, geothermal, hydropower, solar, ocean power, and wind energy to the base load energy such as natural gas, coal, and nuclear. This paper aims to review the implementation of current advances of smart grids from combined energy mix sources. The review includes major components of smart grids, i.e. power plants, monitoring systems, substations, power transmission and distribution, controllers and smart meters. The review also investigates the state of the art contribution of power electronics, artificial intelligence and Internet of Things to more significant optimization, safety and efficiency in these areas. The results are expected to provide a further gap analysis of applicable technologies and best practices in mixed electricity generation sources. The final result will also consider its application in an archipelago country such as Indonesia.

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