The prototype of characterization silica nano particle of rice husk using KOH based on artificial intelligence
One of the abundant sources of biomass is rice husk. Based on data from the Ministry of Agriculture of the Republic of Indonesia, dry grain production in Indonesia reached 83.037150 tons. About 20% of the dry grain is husk. As a result, 16.6 million tons of rice husks were produced in 2018 and their...
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| creator | Astuti, Ely Setyo Wardana, ING Sonief, Achmad As’ad Sarosa |
| description | One of the abundant sources of biomass is rice husk. Based on data from the Ministry of Agriculture of the Republic of Indonesia, dry grain production in Indonesia reached 83.037150 tons. About 20% of the dry grain is husk. As a result, 16.6 million tons of rice husks were produced in 2018 and their utilization has not been carried out optimally. This research will characterize rice husk silica particles using potassium hydroxide (KOH). The procedure of this research is pyrolysis with a high temperature of 800o with a burning time of 4 hours and 6 hours. The next process is refining rice husk charcoal using High Energy Milling (HEM). The SEM and EDX test results show that the pyrolysis 800°C, 4 hours results in a higher% silica, namely 18.64% with 40.52% carbon. While the results of 800°C, 6 hours pyrolysis produced 35% silica with 28.04% carbon. The data obtained from this study became data in Artificial Intelligence (AI) software to determine the higher silica content of rice husks from several variations of pyrolysis. The results of this measurement, it becomes data for AI software to determine the higher % silica. From the experimental results of the two variations, 800° 6 hours pyrolysis resulted in higher silica. |
| doi_str_mv | 10.1088/1757-899X/1034/1/012120 |
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Based on data from the Ministry of Agriculture of the Republic of Indonesia, dry grain production in Indonesia reached 83.037150 tons. About 20% of the dry grain is husk. As a result, 16.6 million tons of rice husks were produced in 2018 and their utilization has not been carried out optimally. This research will characterize rice husk silica particles using potassium hydroxide (KOH). The procedure of this research is pyrolysis with a high temperature of 800o with a burning time of 4 hours and 6 hours. The next process is refining rice husk charcoal using High Energy Milling (HEM). The SEM and EDX test results show that the pyrolysis 800°C, 4 hours results in a higher% silica, namely 18.64% with 40.52% carbon. While the results of 800°C, 6 hours pyrolysis produced 35% silica with 28.04% carbon. The data obtained from this study became data in Artificial Intelligence (AI) software to determine the higher silica content of rice husks from several variations of pyrolysis. The results of this measurement, it becomes data for AI software to determine the higher % silica. From the experimental results of the two variations, 800° 6 hours pyrolysis resulted in higher silica.</description><identifier>ISSN: 1757-8981</identifier><identifier>EISSN: 1757-899X</identifier><identifier>DOI: 10.1088/1757-899X/1034/1/012120</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Artificial intelligence ; Burning time ; Carbon ; Charcoal ; High temperature ; Mechanical alloying ; Nanoparticles ; Potassium hydroxides ; Pyrolysis ; Rice ; Silicon dioxide ; Software</subject><ispartof>IOP conference series. Materials Science and Engineering, 2021-02, Vol.1034 (1), p.12120</ispartof><rights>2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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Materials Science and Engineering</title><description>One of the abundant sources of biomass is rice husk. Based on data from the Ministry of Agriculture of the Republic of Indonesia, dry grain production in Indonesia reached 83.037150 tons. About 20% of the dry grain is husk. As a result, 16.6 million tons of rice husks were produced in 2018 and their utilization has not been carried out optimally. This research will characterize rice husk silica particles using potassium hydroxide (KOH). The procedure of this research is pyrolysis with a high temperature of 800o with a burning time of 4 hours and 6 hours. The next process is refining rice husk charcoal using High Energy Milling (HEM). The SEM and EDX test results show that the pyrolysis 800°C, 4 hours results in a higher% silica, namely 18.64% with 40.52% carbon. While the results of 800°C, 6 hours pyrolysis produced 35% silica with 28.04% carbon. The data obtained from this study became data in Artificial Intelligence (AI) software to determine the higher silica content of rice husks from several variations of pyrolysis. The results of this measurement, it becomes data for AI software to determine the higher % silica. From the experimental results of the two variations, 800° 6 hours pyrolysis resulted in higher silica.</description><subject>Artificial intelligence</subject><subject>Burning time</subject><subject>Carbon</subject><subject>Charcoal</subject><subject>High temperature</subject><subject>Mechanical alloying</subject><subject>Nanoparticles</subject><subject>Potassium hydroxides</subject><subject>Pyrolysis</subject><subject>Rice</subject><subject>Silicon dioxide</subject><subject>Software</subject><issn>1757-8981</issn><issn>1757-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNo9kMFOwzAMhiMEEmPwDETiXBonadIe0QQMMWmXIXGL0pBsGSUtSXsYT0_L0E625M-_5Q-hWyD3QMoyB1nIrKyq9xwI4znkBChQcoZmp8n5qS_hEl2ltCdESM7JDIXNzuIutn3bHzqLW4fNTkdtehv9j-59G3DyjTcaBx1a3OnYe9P8gdEbi3dD-sRD8mGLX9dLXOtkP_C4NHHOG68b7ENvm8ZvbTD2Gl043SR781_n6O3pcbNYZqv188viYZUZEJRkjENVl7osGBOC1A4os9ZQV9eOMCuBOCE45xJcxYCVklMuRWXqqqbCMmbZHN0dc8fXvgeberVvhxjGk4oWQCs65hYjJY-UiW1K0TrVRf-l40EBUZNcNWlTk0I1yVWgjnLZL0xcbWU</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Astuti, Ely Setyo</creator><creator>Wardana, ING</creator><creator>Sonief, Achmad As’ad</creator><creator>Sarosa</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20210201</creationdate><title>The prototype of characterization silica nano particle of rice husk using KOH based on artificial intelligence</title><author>Astuti, Ely Setyo ; Wardana, ING ; Sonief, Achmad As’ad ; Sarosa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1620-3419b8a8533660bf123eec2fbbf03e710f6644471f931387424769cb9b26e33e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Artificial intelligence</topic><topic>Burning time</topic><topic>Carbon</topic><topic>Charcoal</topic><topic>High temperature</topic><topic>Mechanical alloying</topic><topic>Nanoparticles</topic><topic>Potassium hydroxides</topic><topic>Pyrolysis</topic><topic>Rice</topic><topic>Silicon dioxide</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Astuti, Ely Setyo</creatorcontrib><creatorcontrib>Wardana, ING</creatorcontrib><creatorcontrib>Sonief, Achmad As’ad</creatorcontrib><creatorcontrib>Sarosa</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>IOP conference series. Materials Science and Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Astuti, Ely Setyo</au><au>Wardana, ING</au><au>Sonief, Achmad As’ad</au><au>Sarosa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The prototype of characterization silica nano particle of rice husk using KOH based on artificial intelligence</atitle><jtitle>IOP conference series. Materials Science and Engineering</jtitle><date>2021-02-01</date><risdate>2021</risdate><volume>1034</volume><issue>1</issue><spage>12120</spage><pages>12120-</pages><issn>1757-8981</issn><eissn>1757-899X</eissn><abstract>One of the abundant sources of biomass is rice husk. Based on data from the Ministry of Agriculture of the Republic of Indonesia, dry grain production in Indonesia reached 83.037150 tons. About 20% of the dry grain is husk. As a result, 16.6 million tons of rice husks were produced in 2018 and their utilization has not been carried out optimally. This research will characterize rice husk silica particles using potassium hydroxide (KOH). The procedure of this research is pyrolysis with a high temperature of 800o with a burning time of 4 hours and 6 hours. The next process is refining rice husk charcoal using High Energy Milling (HEM). The SEM and EDX test results show that the pyrolysis 800°C, 4 hours results in a higher% silica, namely 18.64% with 40.52% carbon. While the results of 800°C, 6 hours pyrolysis produced 35% silica with 28.04% carbon. The data obtained from this study became data in Artificial Intelligence (AI) software to determine the higher silica content of rice husks from several variations of pyrolysis. The results of this measurement, it becomes data for AI software to determine the higher % silica. 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| subjects | Artificial intelligence Burning time Carbon Charcoal High temperature Mechanical alloying Nanoparticles Potassium hydroxides Pyrolysis Rice Silicon dioxide Software |
| title | The prototype of characterization silica nano particle of rice husk using KOH based on artificial intelligence |
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