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6th International Conference on Mathematics, Science, and Education, ICMSE 2019

作者： Nazarudin Jayanti, N. Alfernando, O. Prabasari, I.G. Ulyarti Sarip, R. Chemistry Engineering Study Program Faculty of Engineering Universitas Jambi Indonesia Center of Energy and Nanomaterial Study Universitas Jambi Indonesia Agricultural Product Technology Study Program Faculty of Agricultural Technology Universitas Jambi Indonesia Chemistry Department Faculty of Science University of Malaya Malaysia

This research was carried out to produce fuel (Oil Liquid Poduct/OLP) from catalytic cracking of a mixture of Polyethylene Terephthalate (PET) and fiber waste from palm oil. USY zeolite was previously ion-exchanged by three levels of Ni-metal concentration (1%, 2%, 3%) before used as catalyst in the cacking process. The catalytic cracking was carried out at rasio of sample to catalyst was 6:1, three levels of temperature (400°C, 425°C and 450°C) and three levels of reaction time (10, 20 and 30 minutes).The SEM images and EDX spectra of Ni-USY zeolite catalysts showed that all catalysts were in crystalline form of FAU framework. The highest of OLP percentage, 24.5%, was produced by catalytic cracking at 450°C for 10 minutes using Ni-USY prepared by ion-exchange using 2% concentration of Nickel Nitrate solution. © Published under licence by IOP Publishing Ltd.

关键词： Catalysts

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Paracetamol degradation in a dual-chamber rectangular membrane bioreactor using microbial fuel cell system with a microbial consortium from sewage sludge

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Case Studies in Chemical and Environmental engineering 2024年 9卷

作者： Utami, Tania Surya Arbianti, Rita Hidayatullah, Ibnu Maulana Yusupandi, Fauzi Hamdan, Mukti Fadilah Putri, Najah Riyadi, Fatimah Azizah Boopathy, Ramaraj Department of Chemical Engineering Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Bioprocess Engineering Study Program Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Research Center for Biomass Valorization Universitas Indonesia West Java Depok 16424 Indonesia Department of Chemical Engineering Institut Teknologi Sumatera Lampung Selatan Lampung 35365 Indonesia Department of Biological Sciences Nicholls State University Thibodaux 70310 LA United States

The public widely uses Paracetamol (PCT) as an analgesic drug to reduce pain and fever symptoms in the human body. The COVID-19 pandemic has led to an increase in PCT consumption, resulting in its presence in water bodies and establishing it as a common aquatic environmental pollutant. Conventional methods for PCT removal rely on chemical treatments, which necessitate harsh reaction conditions and incur high operational costs. This study aims to investigate the potential for PCT degradation within the anode environment of the Microbial Fuel Cell (MFC) system, using a consortium of bacteria isolated from sewage sludge. The initial PCT concentration and the pH of the anode environment were varied. The results showed that PCT degradation occurred within 72 hours. The highest PCT removal rate was achieved at elevated concentrations, specifically 28.54 ± 18.84% for an initial PCT concentration of 31.45 mg/L. Furthermore, the pH levels of the anode environment were observed to influence PCT degradation, with the highest degradation rate recorded at 48.69 ± 0.86% at a pH of 8.2. In this study, the highest average power density reached was 1174.42 mW/m² with an external resistance of 1000 Ω at an initial PCT concentration of 31.45 mg/L. Microbial community analysis was conducted, revealing that Burkholderia sp. dominated the reactor containing PCT. These findings offer valuable insights for the development of more efficient technologies for the removal of PCT from pharmaceutical wastewater using natural microbial communities. © 2023 The Authors

关键词： COVID-19 Dual chamber microbial fuel cell Microbial consortium Paracetamol Pollutant degradation

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The influence of aging time variations on the fatigue life of aluminum alloy 2024-T351

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AIP Conference Proceedings 2024年第1期3053卷

作者： I. Made Astika I. Ketut Suarsana Dewa Ngakan Ketut Putra Negara Study Program of Mechanical Engineering Faculty of Engineering Udayana University Badung Bali 80361 Indonesia

Aluminum and its alloys are used to make a number of automotive components. It is due to aluminum’s light weight, anti-corrosiveness, formability, and affordable price. However, numerous procedures have been carried out to boost its strength due to mechanical characteristics, one of which is artificial aging. The effects of aging on the fatigue life of aluminum 2024-T351 will be examined in this study. The technique of treating the solution involved heating it to 500 oC for an hour and then immediately cooling it to room temperature. By reheating the aluminum alloy to 180 oC and maintaining heat there for a variety of 2, 4, and 6 hours, the fake aging process was continued. The goal was to obtain various precipitation types in anticipation of an increase in the material’s fatigue life. Then, a reversed bending test was carried out with loads of 1.0, 0.9, 0.7, 0.5, and 0.4 σu. The results of the study indicated that aging time had an influence on the fatigue life of aluminum alloy 2024-T351. Fatigue life lengthens with increasing aging time. The increase in fatigue life ranges from 13.3–63.3% compared to aluminum without heat treatment.

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Production of bioinsecticide from durian peel waste and Dioscorea hispida tuber extract by ultrasonic-assisted extraction

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AIP Conference Proceedings 2024年第1期2710卷

作者： Hasna Nisrina Sumayyah Widya Rahmanisa Fitri Tania Surya Utami Rita Arbianti Bioprocess Engineering Study Program Department of Chemical Engineering Faculty of Engineering University of Indonesia Depok 16424 Indonesia

A new armyworm (Spodoptera frugiperda) is rapidly spreading and causing damage to corn crops in Indonesia, thus prompting the need to control the pest with an effective, yet environmentally friendly pest control method, such as bioinsecticide. Natural raw materials like durian peel waste and Dioscorea hispida tuber can be processed to produce a natural bioinsecticide. To discover the optimum processing condition for bioinsecticide production, research is conducted to find the effective solvent material and concentration in ultrasonic-assisted extraction methods. Durian peel waste is extracted using ethanol 30% and methanol 70% as solvents with the ratio variation of 1:0, 0:1, 1:1, 1:2, 2:1. Meanwhile, Dioscorea hispida tubers are extracted with various ethanol concentrations as solvents (ethanol 50%, 70%, 80%, absolute, and distilled water). The result shows that the most effective solvent for durian peel waste extraction is a 2:1 ratio of ethanol and methanol, with the optimum yield of 12.58%. The result also shows that Dioscorea hispida tuber is best extracted with distilled water, yielding 34.70%. The efficacy test concludes that the best solvent variation for pest elimination is a 0:1 ratio of ethanol and methanol durian peel waste and ethanol 80% for Dioscorea hispida tuber. The LC-MS/MS test results identified that alkaloid, flavonoid, and fatty acid compounds potentially caused larvae mortality.

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Information Gain applied to reduce model-building time in decision-tree-based intrusion detection system

Information Gain applied to reduce model-building time in de...

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Iberian Conference on Information Systems and Technologies (CISTI)

作者： Moisé s S. De Sousa Carlos Eduardo Lacerda Veiga Robson De O. Albuquerque William F. Giozza Professional Post-Graduation Program in Electrical Engineering&#x2013 PPEE&#x2013 Electrical Engineering Department Faculty of Technology University of Bras&#x00ED lia (UnB) Bras&#x00ED lia Brazil Advocacia-Geral da Uni&#x00E3 o Bras&#x00ED

Due to the large amount of sensitive data generated by websites, it is possible to understand the progress of attacks to their databases. This work proposes an intrusion detection system based on data mining and machine learning techniques to detect and mitigate the damage caused by these attacks. It adopts the Information Gain method of selecting attributes in order to reduce the model-building time without affecting the classification performance. Using the CIC-IDS 2017 dataset, this work shows how different decision tree algorithms (Random Forest and J48 Algorithm) behave even if they receive equal parameters and data. Using Information Gain to select attributes, the proposed system achieves a processing time reduction of up to 90%.

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Probabilistic Power Flow Analysis Based on Low Rank Approximation and Principle Component Analysis

Probabilistic Power Flow Analysis Based on Low Rank Approxim...

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2020 International Conference on Power, Energy and Innovations, ICPEI 2020

作者： Laowanitwattana, Jirasak Uatrongjit, Sermsak Chiang Mai University PhD's Degree Program in Electrical Engineering Faculty of Engineering Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9781728172408

Probabilistic power flow (PPF) analysis is usually applied for evaluating the effects of uncertain parameters on power system performances. This paper presents a technique to enhance the arbitrary polynomial chaos expansion (aPCE) based PPF analysis technique when applying to system with many uncertain parameters. The proposed method represents a power system response as low rank approximation (LRA). In addition, the principle component analysis (PCA) is applied to reduce the number of uncertain parameters and also de-correlate them. This combination enables the proposed method to perform PPF of the power system having large number of uncertain parameters. Based on preliminary numerical results on the modified IEEE 57-bus system, it can be noticed that the proposed modified method is able to find accurate statistical characteristics of the responses but uses less computation time compared to the MCS based PPF analysis. © 2020 IEEE.

关键词： Uncertainty analysis

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Impact of High-k Materials and Tube Numbers on CNFET Gate’s Performances

Impact of High-k Materials and Tube Numbers on CNFET Gate’s...

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International Conference on Smart Systems and Inventive Technology (ICSSIT)

作者： Christofer Yalung Doldet Tantraviwat Sermsak Uatrongjit Wittawat Yamwong Philosophy Program in Nanoscience and Nanotechnology (International Program/Interdisciplinary) Chiang Mai University Chiang Mai Thailand Department of Electrical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand Thai Microelectronics Center (TMEC) National Electronics and Computer Technology Center (NECTEC) Chachoengsao Thailand

Carbon nanotube field effect transistor (CNFET) performance is primarily influenced by a variety of characteristics, such as nanotube diameter, operating voltage, pitch, the number of tubes, dielectric constant, and contact materials. In this study, the dielectric constant and the number of carbon nanotubes (CNTs) were emphasized to analyze the propagation delay and average power dissipation of basic logic gates. Zirconium dioxide (ZrO 2 ), hafnium oxide (HfO 2 ), and silicon dioxide (SiO 2 ) were used as dielectric materials. In this experiment, the Stanford CNFET model was utilized, and variable factors such as the number of CNTs and the dielectric constant $(K_{ox})$ accumulated on the nanotube gate's surface were diversified. The correlation coefficients of the delay, the average power, and the CNT numbers were also presented. Furthermore, the multi-objective genetic algorithm and the Rmethod were utilized to find the optimal K ox and the number of CNTs for minimizing the average dissipation power and the propagation delay of some logic gates designed with CNFET. For all the gates considered, the optimal number of CNTs is 4 while the dielectric constant is within the ranges of 19 to 24.

关键词： Silicon compounds Dielectric constant Correlation Logic gates CNTFETs Power dissipation Electron tubes

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Optimization of Certainty Factor Algorithm to Overcome Uncertainty in Expert System Identification of Pests and Diseases of Cocoa

Optimization of Certainty Factor Algorithm to Overcome Uncer...

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Electronic and electrical engineering and Intelligent System (ICE3IS), International Conference on

作者： Rakhmat Dedi Gunawan Imam Ahmad Parjito Harry Anggono Ego Hengki Vernando Firman Jaya Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandarlampung Indonesia Information Technology Education Study Program STKIP PGRI Situbondo Indonesia

ISBN: (纸本)9781665465427

Lampung Province is one of the regions with the highest cocoa production, but many factors can interfere with cocoa production. One of them is the factor of pests and diseases of cocoa that cannot be identified and prevented beforehand. An expert system is a system that adopts expert knowledge or experts in a particular field. However, the diagnosis usually contains uncertainty in the form of answers and statements used. Certainty Factor (CF) algorithm, is one of the algorithms that is able to overcome uncertainty by providing a value for the level of trust from experts and users. However, because the CF value is based on the level of confidence in the symptoms experienced by the user, it creates a problem, namely the consistency of the user's answers. So, it is necessary to make improvements to the CF algorithm, to overcome the inconsistency of user answers through the use of Consistency Ratio (CR). Through the use of CR, inconsistencies are overcome through comparisons between the consistency index and the random index. Based on the results of the accuracy test, the proposed model is able to produce an accuracy rate of 86.67% in the diagnosis of pests and diseases on cocoa plants.

关键词： electrical engineering Deep learning Uncertainty Production Indexes Expert systems Intelligent systems

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Monitoring System for Elderly Health Care Using Smart Band, Raspberry Pi, and Node-Red

Monitoring System for Elderly Health Care Using Smart Band, ...

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Electronic and electrical engineering and Intelligent System (ICE3IS), International Conference on

作者： Yudhi Ardiyanto Kusworo Adi Kurnianingsih Karisma Trinanda Putra Pradityo Utomo Doctoral Program of Information System School of Postgraduate Studies Universitas Diponegoro Semarang Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia Department of Physics Faculty of Science and Mathematics Universitas Diponegoro Semarang Indonesia Department of Electrical Engineering Faculty of Engineering Politeknik Negeri Semarang Semarang Indonesia Department of Informatics Management Faculty of Engineering Universitas Merdeka Madiun Madiun Indonesia

ISBN: (纸本)9781665465427

The decline in physical, cognitive, and sensory functions for most elderly people leads to the development of several health issues such as memory loss, a tendency to fall, dizziness, and reduced ability to care for oneself independently. These can be mitigated using devices designed to monitor vital signs and human activity such as a smart band. However, the application of a smart band is characterized by a disadvantage which involves storing user data in the vendor's cloud and only one device can access the client applications. Therefore, nurses, doctors, and family members cannot simultaneously analyze data and receive alerts when abnormal conditions occur in elderly patients. This study aims to develop a system capable of monitoring the health conditions of multiple elderly individuals and sending alerts during abnormal conditions based on the heart rate value read by the smart band sensor. The process involved installing a database on the Raspberry Pi to store data while a monitoring system was built on the Node-RED platform to display elderly health data and made it accessible locally. The detection of an abnormal heart rate condition in the elderly patient leads the system to send notifications via telegram to multiple receivers registered in the system using their telegram identity.

关键词： Heart rate electrical engineering Cloud computing Databases Medical services Receivers Older adults

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Characterization of a thermostable-organic solvent-tolerant lipase from thermotolerant Rhizopus sp. strain PKC12B2 isolated from palm kernel cake

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Case Studies in Chemical and Environmental engineering 2024年 9卷

作者： Riyadi, Fatimah Azizah Alam, Md Zahangir Salleh, Md Noor Salleh, Hamzah Mohd Hidayatullah, Ibnu Maulana Hara, Hirofumi Department of Chemical Engineering Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Bioprocess Engineering Study Program Faculty of Engineering Universitas Indonesia West Java Depok 16424 Indonesia Research Center for Biomass Valorization Universitas Indonesia West Java Depok 16424 Indonesia Bioenvironmental Engineering Research Centre (BERC) Department of Biotechnology Engineering Faculty of Engineering International Islamic University Malaysia Kuala Lumpur 53100 Malaysia Department of Biotechnology Graduate School of Agricultural and Life Sciences The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-8657 Japan

In this work, a new thermostable and organic solvent-tolerant lipase produced from Rhizopus sp. strain PKC12B2 was characterized to evaluate its activity and stability toward pH, temperature, organic solvents, and surfactants. The catalytic efficiency of the produced enzyme was also analyzed through enzyme kinetics study. Produced lipase exhibits remarkable stability at pH 8.0 to pH 10.0 and shows optimum activity at pH 9.0, demonstrating alkali lipase properties. Lipase has an optimum temperature of 45 °C and possesses significant thermal stability in the temperature range between 45 and 55 °C. Exceptional enzyme stability was also demonstrated in the presence of both polar solvents, such as glycerol, isopropanol and acetone, as well as non-polar solvents, such as cyclohexane and heptane up to 30 % (v/v) solvent concentration, where the enzyme retained more than 80 % activity after 1-h pre-incubation. For methanol, ethanol, and n-octanol, the relative activity of lipase was highly stable in the presence of up to 20 % (v/v) solvent concentration. Na⁺, Zn²⁺, and Fe³⁺ ions significantly stimulate the lipase activity at a final concentration of 10 mM. Lipase also demonstrated stimulatory effects towards a broad concentration range (0.2–1 %) of surfactants Tween 80 and Triton X-100. The Linearized Michaelis-Menten model in the form of Lineweaver-Burk (R² = 0.995) and Hanes-Woolf (R² = 0.996) models was found to successfully display the enzyme kinetics, in which the former generated Km and V_max of 1.965 mM and 4.51 mM/min respectively, while the latter generated Km and V_max of 1.295 mM and 3.389 mM/min, respectively. These new enzyme attributes demonstrate its great potential in biotechnology applications, such as for detergent formulations, biodiesel production and organic synthesis industries. © 2024 The Authors

关键词： Characterization Lipase Rhizopus sp. strain PKC12B2 Thermostable-organic solvent-tolerant enzyme

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