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All Journal Jurnal Teknik Mesin Jurnal Bioedukasi Applied Information System and Management Jurnal Pengabdian Magister Pendidikan IPA JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JURNAL EDUCAZIONE : Jurnal Pendidikan, Pembelajaran dan Bimbingan dan konseling Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Abdi Insani Jurnal Risalah Kenotariatan JURNAL REKAYASA KIMIA & LINGKUNGAN Transaction on Informatics and Data Science
M. Faisal
Department of Chemical Engineering, Syiah Kuala University, Jl. Syech A. Rauf, Darussalam, Banda Aceh, Aceh, 23111, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Physical Characteristics of Briquettes Made of Oil Palm Empty Fruit Bunches (EFB) Using Brown Algae Adhesive Dewita, Ana; Faisal, M.; Gani, Asri
Jurnal Rekayasa Kimia & Lingkungan Vol 15, No 1 (2020): Jurnal Rekayasa Kimia & Lingkungan (June, 2020)
Publisher : Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23955/rkl.v15i1.15429

Abstract

The charcoal produced from oil palm empty fruit bunches pyrolysis can be utilised as environmentally friendly alternative fuel briquettes. This research studied the physical characteristics of EFB briquettes using brown algae as an adhesive. The effect of the concentration of brown algae adhesive on briquette quality was investigated. The briquettes were prepared from EFB charcoal by adding adhesive at various concentrations of 2.5%, 5%, 7.5% and 10% (w/w). Subsequently, proximate analysis was performed on EFB and brown algae. The best-quality briquettes were obtained by adding brown algae adhesive at 2.5% concentrate, which resulted in a calorific value of 21,405 J/g. Other characteristics, such as moisture content, ash content, volatile matter and fixed carbon, were found to be 7.4%, 4.9%, 79% and 8.7%, respectively. Thermal characteristics, such as density, flash point and burning time, were found at 0.96 g/cm3, 5.1 seconds and 300 minutes, respectively.
Analysis of the Impact of Meteorological Factors on Predicting Air Quality in South Tangerang City using Random Forest Method Kadir, Nurchaerani; Faisal, M.; Kurniawan, Fachrul
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v7i2.38466

Abstract

Air pollution has become one of the most significant environmental problems in many cities throughout the world, which can endanger public health and the environment. Understanding the impact of meteorological conditions on air quality is very important to understanding air pollution patterns. This study investigates the influence of meteorological variables on air quality predictions in South Tangerang City, Indonesia, using the Random Forest method. Modeling is carried out by building two scenarios, namely predictions using meteorological variables and predictions without meteorological variables. Prediction performance analysis is measured using MAE, MSE, RMSE, R-square, and accuracy. The accuracy results of the research show that predictions without meteorological variables provide good prediction results with a value of 86.42%, but predictions with meteorological variables have better performance with a value reaching 98.99%. The largest error values from each model were 2.58 MAE, 71.82 MSE, and 8.4747 RMSE obtained in prediction modeling without meteorological variables, while the smallest error values were obtained in prediction modeling using meteorological variables, namely 0.00, 0.01, and 0.0219, respectively, for MAE, MSE, and RMSE. This research contributes to a better understanding of the relationship between meteorology and air pollution and air quality in urban areas and helps develop targeted mitigation strategies to improve air quality and public health, especially in South Tangerang City and the surrounding area.
Co-Authors A. Abdullah Ainul Yaqin Asri Gani Ayubi, Nuril Dewita, Ana Diah Triesia Fachrul Kurniawan Firdaus, Reza Augusta Jannatul Guttifera, Guttifera I Made Adi Sayoga, I Made Adi Islam, M. Hotibul Jailan Sahil Jailani, M. Kadir, Nurchaerani M. Mirmanto, M. Made Wirawan, Made Maulana Arifin Muakib, Willy Husnul Mualifah, Mualifah Muhammad Jailani Prastyo, Edwin Hari Agus Roziqiin, Nazhif Muafa Siti Lestari sri, ida ayu Suhartono Sultan Sultan Zulfikri