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Optimal Power Flow the Sulselrabar 150 KV system before and after the penetration of wind power plants considering power loss and generation costs

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IOP Conference Series: Materials Science and engineering 2020年第1期850卷

作者： A M Ilyas A Suyuti I C Gunadin A Siswanto Department of Electrical Engineering Faculty of Engineering University of Hasanuddin Jl. Perintis Kemerdekaan Km. 10 Makassar 90245 Indonesia. Electrical Engineering Study Program Faculty of Engineering Khairun University Kelurahan Gambesi 97719 Ternate North Maluku Indonesia.

Optimal Power Flow (OPF) is to optimize power flow in interconnection systems to decrease production costs and increase system reliability, quality, and stability. This research was conducted on power generation 150 KV systems in South Sulawesi, Southeast Sulawesi, and West Sulawesi, abbreviated as Sulselrabar. The number of buses is 44, 15 generator buses before penetration with the Sidrap Wind Power Plant (PLTB), and 16 bus generators after penetration with PLTB. The method used in this study is Improved Particle Swarm Optimization (IPSO) and Lagrange. The results showed that IPSO showed better results compared to Lagrange and the results of existing systems.

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Effect of Time and Concentration of Sulfuric Acid on Yield Bioethanol Produced In Making Bioethanol from Peat Soil

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Journal of Physics: Conference Series 2019年第1期1167卷 012056-012056页

作者： Kiagus Ahmad Roni Herawati, Netty Hastarina, Merisha Chemical Engineering Study Program Engineering Faculty Muhammadiyah University of Palembang 2 Industrial Engineering Study Program Engineering Faculty Muhammadiyah University of Palembang

The depletion of petroleum reserves, the price of fuel oil (BBM) which tends to increase, and environmental safety reasons encourage the search for other materials to be made as raw materials for making bioethanol. One of the most potent ingredients as raw material for making bioethanol is lignocellulosic biomass. Lignocellulosic biomass consists of three main components, namely: lignin, cellulose, and hemicellulose. Cellulose and hemicellulose are sugar polymers which can be broken down / hydrolyzed to produce sugar and then fermented into bioethanol. One of the lignocellulosic biomass that can be used as a substrate for bioethanol production is peat. This study will review the effect of the delignification process and hydrolysis of the yield percent of ethanol produced in bioethanol production from peat soil.

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Voice controller mobile android application 2

Voice controller mobile android application

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2nd Nommensen International Conference on Technology and engineering, NICTE 2018

作者： Siagian, Pandapotan Hutauruk, Sindak Institut Teknologi Del Faculty of Informatics and Electrical Engineering Computer Engineering Study Program Jl. Sisingamangaraja Sitoluama Toba Samosir Sumatera Utara22381 Indonesia Universitas HKBP Nommensen Faculty of Electrical Engineering Jl. Sutomo No.1 Medan North Sumatera2018 Indonesia

Mobile devices are becoming an indispensable part of daily lives. This system has been developed interactive android application to assist and provide the support helps people such as blind and other physically limited people who face. They will be done for outgoing calling to his family and also the area around them. Speech recognition is technology that uses desired equipment and a service which can be controlled through voice of the android smart phone. An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The device proposed here is an interactive android platform, which is capable of recognizing spoken words. We propose to developed interactive android application and also added some features which are currently available in android based smartphones such as attending for a line calling feature and out-going calling feature, over the voice commands which can run on the tablet or any android based phone. Speech recognition have a data set to translate between users' descriptions and the labels in the database, which has entries on the speech recognition (sounds and patterns) that make up the sound. © Published under licence by IOP Publishing Ltd.

关键词： Speech recognition

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Biosolubilization of Indonesia's Subbituminous Coal Using Neurospora intermedia

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Journal of Physics: Conference Series 2021年第1期1772卷

作者： Elvi Restiawaty Dwiwahju Sasongko Ahmad Furqon Hala Ryan Fitrian Sofwan Fauzan Nendry Nurramdani Solihah Ardiyan Harimawan Bioenergi Engineering and Chemurgy Study Program Faculty of Industrial Technology Institut Teknologi Bandung. Jl. Let. Jend. Purn. Dr. (HC) Mashudi No.1 Kec. Jatinangor Kab. Sumedang West Java 45363 Indonesia. Biosciences and Biotechnology Research Center Institut Teknologi Bandung. Jalan Ganesa 10 Bandung 40132 Indonesia Chemical Engineering Study Program Faculty of Industrial Technology Institut Teknologi Bandung. Jalan Ganesa 10 Bandung 40132 Indonesia.

Recognizing its high volatile matter content, liquefaction to convert subbituminous coal with relatively low calorific value into liquid fuel by thermal or biological process has been subjected to extensive research. The former has been implemented commercially whereas the latter challenges for further studies. This paper looks into low-rank coal upgrading through subbituminous biosolubilization using Neurospora intermedia as the bioconverting agent. N. intermedia was initially cultured on agar medium containing a carbon source (glucose, sucrose, or cellulose) in a petri dish. After four days cultivation, sterilized coal particles with diameter of 1.5-2.5 mm were spread on N. intermedia culture. It was observed that N. intermedia could grow on the solid culture containing glucose, sucrose, and cellulose. However, the biosolubilization product was only observed from the solid culture with glucose and sucrose as carbon source. The highest biosolubilization rate was 1.07 × 10−3 abs/min and about 83% of coal could be solubilized when the media contained 15 g/L of glucose. The FTIR analysis showed that the spectrum of biosolubilization product was similar to the initial coal spectrum, but it contained small amount of aliphatic C-H group compounds and high amount of carbonyl, hydroxyl, and amine groups.

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Retraction notice to "Pyrolysis: An effective technique for degradation of COVID-19 medical wastes" [Chemosphere 275 (2021) 130092]

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Chemosphere 2025年 370卷 143824页

作者： Selvakumar Dharmaraj Veeramuthu Ashokkumar Rajesh Pandiyan Heli Siti Halimatul Munawaroh Kit Wayne Chew Wei-Hsin Chen Chawalit Ngamcharussrivichai (Deemed to be University) Chennai 603112 Tamil Nadu India. Center of Excellence in Catalysis for Bioenergy and Renewable Chemicals (CBRC) Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. Department of Biochemistry Karpagam Academy of Higher Education (formerly Karpagam University) Pollachi Main Road Eachanari Post Coimbatore Tamil Nadu India. Chemistry Study Program Department of Chemistry Education Faculty of Mathematics and Science Education Universitas Pendidikan Indonesia Jl. Dr. Setiabudhi 229 Bandung 40154 Indonesia. School of Energy and Chemical Engineering Xiamen University Malaysia Jalan Sunsuria Bandar Sunsuria 43900 Sepang Selangor Malaysia College of Chemistry and Chemical Engineering Xiamen University Xiamen 361005 Fujian China. Department of Aeronautics and Astronautics National Cheng Kung University Tainan 701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung 407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung 411 Taiwan. Center of Excellence in Catalysis for Bioenergy and Renewable Chemicals (CBRC) Faculty of Science Chulalongkorn University Bangkok 10330 Thailand Center of Excellence on Petrochemical and Materials Technology (PETROMAT) Chulalongkorn University Pathumwan Bangkok 10330 Thailand.

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Effect of pH on physicochemical properties of cassava starch modification using ozone 24

Effect of pH on physicochemical properties of cassava starch...

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24th Regional Symposium on Chemical engineering, RSCE 2017

作者： Pudjihastuti, Isti Handayani, Noer Sumardiono, Siswo Vocational Program Study of Chemical Engineering Diponegoro University Jl.Prof. Soedarto SH Tembalang Semarang50275 Indonesia Departement of Chemical Engineering Faculty of Engineering Diponegoro University Jl.Prof. Soedarto SH Tembalang Semarang50275 Indonesia

Nowadays, starch modification is carried out in order to change the native properties into the better ones, such as high stability, brightness, and better texture. The objectives of this study are to investigate the effect of pH on carboxyl content, swelling power, and water solubility of starch. This research was divided into two main stages, i.e. starch modification by ozone oxidation and analysis. The physicochemical properties of modified cassava starch were investigated under various reaction pH of 7-10 and the reaction time between 0-240 minutes. Reaction condition at pH 10 provided the higher value of carboxyl content and water solubility, but the lower of swelling power. This increase in solubility indicates that the modified oxidation starch readily dissolves in water, due to its small size granules and high amylose content. The significant changes of both parameters were achieved in the first 120 minutes of ozone reaction times. The graphic pattern of water solubility was in contrast with swelling power. © The Authors, published by EDP Sciences, 2018.

关键词： Physicochemical properties

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Project-based learning model with real object in vocational school learning

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Journal of Physics: Conference Series 2020年第1期1700卷

作者： Nurcholish Arifin Handoyono Suparmin Samidjo Arif Bintoro Johan Suyitno Mechanical Engineering Education Vocational Study Program Faculty of Teacher Training and Education Universitas Sarjanawiyata Tamansiswa Yogyakarta Indonesia Department of Automotive Engineering Education Faculty of Teacher Training and Education Universitas Muhammadiyah Purworejo Indonesia

Learning in vocational schools is not enough just teacher-centered because the material presented does not only cover cognitive aspects, but also the affective and psychomotor aspects. In fact, there are still many teachers who use conventional modes, including learning technical drawings, so that student learning outcomes are low. The purpose of this research was to determine the learning outcomes of the PjBL model using real object media better than conventional methods in technical drawing subjects. A quasi-experiment was used in research with a nonequivalent control group design. The study population was 42 students of class X TP. The sampling technique uses cluster sampling. Class X TP1 as a control class with 23 students and Class X TP2 as an experimental class with 19 students. Data collection techniques using test techniques. The research instrument was a test sheet. The data analysis used t-test analysis with prerequisite tests, namely the normality test and homogeneity test. Based on testing the hypothesis test, it was concluded that the PjBL model with real objects gives better learning outcomes compared to conventional methods of learning outcomes of technical drawings.

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Web of Things to control planting seeds and watering plants for indoor smart farm

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IOP Conference Series: Materials Science and engineering 2021年第5期1098卷

作者： M P T Sulistyanto E Febriawan I Sulistiyowati Informatics Study Program Faculty of Science and Technology Universitas Kanjuruhan Malang Jl. S. Supriadi No. 48 Malang Jawa-Timur Indonesia Electrical Engineering Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo Jl. Raya Gelam 250 Candi Sidoarjo Jawa Timur Indonesia

With the emergence of the Web of Things (WoT) as Internet of Things (IoT) enhancement in web application, the Industrial Revolution 4.0 has developed very rapidly. Its technology has been commonly used in various fields of life, especially in agriculture. One of the crop plants is often achieved by vegetable farming, as vegetables are the staples of daily life. Aim this study is for plating mustard green seeds and watering plant using WoT. This method begins by doing literature review, requirement analysis, design and implementation. The result shows the developing of prototype to planting mustard seeds and watering plant is successful that it can be remotely operated through WoT. The planting and watering process uses Gcode command to carry out seed picks, planting seeds, and water plants.

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Three-dimensional Tomography of Coseismic Ionospheric Disturbances from the 2016 West Sumatera Earthquake

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IOP Conference Series: Earth and Environmental Science 2021年第1期936卷

作者： R W Rahayu M N Cahyadi B Muslim I M Anjasmara E Y Handoko I N Muafiry Department of Geomatics Engineering Faculty of Civil Engineering Environment and Geo-Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia Research Center of Science-Technology of Marine and Earth Directorate of Research and Community Service Sepuluh Nopember Institute of Technology (ITS) Surabaya Indonesia Indonesian National Institute of Aeronautics and Space (LAPAN) Bandung 40173 Indonesia Survey and Mapping Study Program Sinar Mas Polytechnic Berau Coal Indonesia

Global Navigation Satellite System (GNSS) is a navigation system that uses satellite signals to determine its position, which consists of several satellites arranged in a constellation system. GNSS transmits signals to receivers on Earth. The GNSS receiver determines the user's position, speed, and time by processing the signals transmitted by the satellites. The initial purpose of launching the GNSS was for navigation purposes, but along with its development, GNSS can be used for the purposes of observing deformation of the earth's crust and in studying the atmosphere. The delayed wave data when passing through the ionosphere can be used to obtain Total Electron Content (TEC) values which then used to study ionospheric disturbances. Ionospheric disturbances are caused by various phenomena, the most common one is the ionospheric disturbances caused by the induction of acoustic and gravitational waves excited by co seismic crustal motions from large earthquakes. Ionospheric disturbances that happened before an earthquake are called Pre-seismic Ionospheric Disturbances and those that occur after an earthquake are called Co-seismic Ionospheric Disturbances (CID). Most studies of ionospheric disturbances still provide information on the timing and value of TEC anomalies in 2D form. Therefore, in this study, a 3D ionosphere profile modelling using computed 3D tomography will be carried out. The 3D information provided is in the form of time, ionosphere altitude and TEC anomaly value by utilizing GNSS data. The TEC anomaly value is obtained from the calculation of linear combination of the ionosphere. This study aims to obtain a spatial and temporal analysis of the CID caused by the West Sumatra Earthquake on March 2, 2016.

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Pulmonary Disease Pattern Recognition on X-Ray Radiography Image Using Artificial Neural Network (ANN) Method

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Journal of Physics: Conference Series 2020年第1期1505卷

作者： N Fitriyah L D Kurniawati E Purwanti S D Astuti Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115 Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115 Department of Biomedical Engineering Post-Graduate Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115

This research aims to recognize the pattern of pulmonary disease on x-ray radiography image using artificial neural network (ANN) method. The images, which were used such as images of healthy pulmonary, pulmonary tuberculosis, and pulmonary tumour. Pattern recognition was using an extraction feature of GLCM (Gray Level Co-occurrence Matrix) and back propagation method. Before being identified, the images were processed by median filter and adaptive histogram equalization. The GLCM features that used were homogeneity, energy, contrast, variance and correlation. The parameters were learning rate and hidden layer. Learning rate was 0.3 and hidden layer was 25. Back propagation training showed 100% accuracy, which all of 44 images were used had been successfully identified. From the result, the healthy pulmonary showed 60% accuracy, 83.3% for pulmonary tuberculosis and 100% for pulmonary tumor. Hence, the overall result showed 81.25% accuracy, which 13 of 16 images had been successfully identified. From these result, extraction feature of GLCM using back propagation method was capable to recognize the pattern of pulmonary disease. However, due to narrow range of the feature, this application may not be used optimally for comparing features in every category of images. Therefore, the further research is needed to determine the best features and parameters of training back propagation.

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