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Biodiesel Production from Waste Cooking Oil: Characterization, Modeling and Optimization

Mechanical Engineering for Society and Industry · Vol. 1 No. 1 (2021) · hlm. 22–30

DOI
10.31603/mesi.5320
ISSN
2798-5245
Terbit
2021-07-25
Penerbit
Universitas Muhammadiyah Magelang
Bahasa
en

Abstrak

In this study, waste and discarded cooking oils (WCO) of palm, sunflower, rice bran and groundnut oils are collected from local restaurants. The high viscous WCO was converted into waste cooking oil biodiesel (WCOBD) by a single-stage transesterification process. During the transesterification process, the important parameters which show a significant change in biodiesel yield are studied using the optimization tool of response surface methodology (RSM). Results reported that 91.30% biodiesel yield was achieved within L18 experiments and NaOH catalyst was identified as the most influential parameter on WCOBD yield. Artificial Intelligence (AI) based modeling was also carried out to predict biodiesel yield. From AI modeling, a predicted yield of 92.88% was achieved, which is 1.70% higher than the RSM method. These results reveal the prediction capabilities and accuracy of the chosen modeling and optimization methods. In addition, the significant fuel properties are measured and observed within the scope of ASTM standards (ASTMD6751) and fatty acid profiles from chromatography reveal the presence of high unsaturated fatty acids in WCOBD. Therefore, utilizing the waste cooking oils for biodiesel production can mitigate the global challenges of environmental and energy paucity.

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  • Universitas Muhammadiyah Magelang
  • Politeknik Negeri Semarang
  • Universitas Negeri Padang
  • Indian Maritime University
  • Pancasila University
  • Indonesia University of Education
  • National Research and Innovation Agency
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Rekan penulisOrganisasiArtikel bersama
Muhammad Latifur RochmanUniversitas Muhammadiyah Magelang11
R. ThirunavukkarasuAfiliasi tidak diketahui5
Dori YuvendaUniversitas Negeri Padang5
Bagiyo Condro PurnomoUniversitas Muhammadiyah Magelang5
Tuessi Ari PurnomoUniversitas Muhammadiyah Magelang4
Asep Bayu Dani NandiyantoIndonesia University of Education4
Retno RusdjijatiUniversitas Muhammadiyah Magelang4
Rifky IsmailDiponegoro University4
Indra Chandra SetiawanPancasila University3
Djoko Wahyu KarmiadjiNational Research and Innovation Agency2
Muchamad GozaliBadan Pengkajian dan Penerapan Teknologi2
Margana MarganaPoliteknik Negeri Semarang2
Marliyati MarliyatiPoliteknik Negeri Semarang2
Yusuf Dewantoro HerlambangPoliteknik Negeri Semarang2
Wahyu SulistiyoPoliteknik Negeri Semarang2
Nanang ApriandiPoliteknik Negeri Semarang2
Jin‐Cherng ShyuNational Kaohsiung University of Science and Technology2
Abdulkareem Sh. Mahdi Al‐ObaidiTaylor's University2
Hendry Y. NanlohyUniversitas Sains dan Teknologi Jayapura2
Sunaryo SunaryoUniversitas Sains Al-Qur'an2
Deni Fajar FitriyanaState University of Semarang2
Januar Parlaungan SiregarUniversiti Malaysia Pahang Al-Sultan Abdullah2
Saifudin SaifudinUniversitas Muhammadiyah Magelang2
Thomas KiveveleNelson Mandela African Institution of Science and Technology2
Vahid PirouzfarIslamic Azad University, Tehran2
Krismadinata KrismadinataUniversitas Negeri Padang2
Wawan PurwantoUniversitas Negeri Padang2
Dhasa Ikrar SetyanansyachUniversitas Muhammadiyah Magelang1
Roni Muhammad SusantoUniversitas Muhammadiyah Magelang1
Arif Nur MiftachulAfiliasi tidak diketahui1
Ade BurhanudinAfiliasi tidak diketahui1
Bambang SeptianUniversitas Muhammadiyah Magelang1
Noto WidodoUniversitas Muhammadiyah Magelang1
Bagas Arif PrasetyoUniversitas Muhammadiyah Magelang1
Dwi Ahmad RizaniUniversitas Muhammadiyah Magelang1
Eko Muh WidodoSTIKOM Tunas Bangsa1
Muhammad Imron RosyidiUniversitas Muhammadiyah Magelang1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unimma.ac.id/index.php/mesi/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Biodiesel Production from Waste Cooking Oil: Characterization, Modeling and Optimization</dc:title>
	<dc:creator xml:lang="en">Kolakoti, Aditya</dc:creator>
	<dc:creator xml:lang="en">Setiyo, Muji</dc:creator>
	<dc:creator xml:lang="en">Waluyo, Budi</dc:creator>
	<dc:subject xml:lang="en">Biodiesel</dc:subject>
	<dc:subject xml:lang="en">Waste cooking oil</dc:subject>
	<dc:subject xml:lang="en">Transesterification</dc:subject>
	<dc:subject xml:lang="en">High viscous biodiesel</dc:subject>
	<dc:description xml:lang="en">In this study, waste and discarded cooking oils (WCO) of palm, sunflower, rice bran and groundnut oils are collected from local restaurants. The high viscous WCO was converted into waste cooking oil biodiesel (WCOBD) by a single-stage transesterification process. During the transesterification process, the important parameters which show a significant change in biodiesel yield are studied using the optimization tool of response surface methodology (RSM). Results reported that 91.30% biodiesel yield was achieved within L18 experiments and NaOH catalyst was identified as the most influential parameter on WCOBD yield. Artificial Intelligence (AI) based modeling was also carried out to predict biodiesel yield. From AI modeling, a predicted yield of 92.88% was achieved, which is 1.70% higher than the RSM method. These results reveal the prediction capabilities and accuracy of the chosen modeling and optimization methods. In addition, the significant fuel properties are measured and observed within the scope of ASTM standards (ASTMD6751) and fatty acid profiles from chromatography reveal the presence of high unsaturated fatty acids in WCOBD. Therefore, utilizing the waste cooking oils for biodiesel production can mitigate the global challenges of environmental and energy paucity.</dc:description>
	<dc:publisher xml:lang="en">Universitas Muhammadiyah Magelang</dc:publisher>
	<dc:date>2021-07-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unimma.ac.id/mesi/article/view/5320</dc:identifier>
	<dc:identifier>10.31603/mesi.5320</dc:identifier>
	<dc:source xml:lang="en">Mechanical Engineering for Society and Industry; Vol. 1 No. 1 (2021); 22-30</dc:source>
	<dc:source>2798-5245</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unimma.ac.id/mesi/article/view/5320/2499</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2021 Aditya Kolakoti, Muji Setiyo, Budi Waluyo</dc:rights>
</oai_dc:dc>