Studi Response Surface Methodology pada Sintesis Material Komposit S-Doped Graphene Layer-Magnetite

Sulistya, Armellyda Cindy (2026) Studi Response Surface Methodology pada Sintesis Material Komposit S-Doped Graphene Layer-Magnetite. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5004221059-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (2MB) | Request a copy

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh variasi komposisi sintesis terhadap karakteristik membran komposit berbasis S-doped Graphene Layer-Magnetite-Kitosan, memodelkan hubungan antara komposisi sintesis dan respons membran menggunakan Response Surface Methodology (RSM), serta memprediksi komposisi sintesis optimum untuk aplikasi Direct Methanol Fuel Cell (DMFC). Material S-doped Graphene Layer disintesis melalui proses interkalasi asam sulfat, eksfoliasi menggunakan gelombang mikro, dan sonikasi, kemudian dikombinasikan dengan magnetit (Fe3O4) dan diaplikasikan sebagai filler pada membran komposit berbasis kitosan. Karakteristik membran dievaluasi melalui pengujian konduktivitas proton dan permeabilitas metanol. Data hasil pengujian dianalisis menggunakan Lagrange Interpolating Polynomials (LIP) untuk memperoleh representasi matematis hubungan antara komposisi dan respons, kemudian dimodelkan menggunakan RSM dengan bantuan perangkat lunak Design-Expert®. Hasil penelitian menunjukkan bahwa variasi komposisi sintesis memengaruhi konduktivitas proton dan permeabilitas metanol, dengan massa kitosan sebagai faktor yang paling dominan. Model kuadratik yang diperoleh memiliki nilai koefisien determinasi (R2) sebesar 0,8187 untuk konduktivitas proton dan 0,8458 untuk permeabilitas metanol. Optimasi menghasilkan tiga solusi dengan nilai desirability sebesar 0,831, dan salah satu komposisi optimum direkomendasikan pada 2,18 g kitosan, 319,44 mg grafit, 148,11 mL sulfur, dan 0,7772 g magnetit, yang diprediksi menghasilkan konduktivitas proton sebesar 33,22 mS/cm dan permeabilitas metanol sebesar 4,41 × 10-6 cm2/s. Hasil penelitian menunjukkan bahwa pendekatan LIP dan RSM dapat digunakan untuk memprediksi komposisi sintesis membran komposit yang berpotensi memenuhi kebutuhan karakteristik membran elektrolit untuk aplikasi DMFC, meskipun hasil prediksi tersebut masih memerlukan verifikasi melalui eksperimen konfirmasi.
=====================================================================================================================================
This study aimed to analyze the effect of variations in synthesis composition on the characteristics of S-doped Graphene Layer–Magnetite–Chitosan composite membranes, model the relationship between synthesis composition and membrane responses using Response Surface Methodology (RSM), and predict the optimum synthesis composition for Direct Methanol Fuel Cell (DMFC) applications. S-doped Graphene Layer was synthesized through sulfuric acid intercalation, microwave-assisted exfoliation, and sonication, followed by combination with magnetite (Fe3O4) and incorporation as a filler into chitosan-based composite membranes. The membrane characteristics were evaluated by measuring proton conductivity and methanol permeability. Experimental data were analyzed using Lagrange Interpolating Polynomials (LIP) to obtain a mathematical representation of the relationship between synthesis composition and membrane responses, and subsequently modeled using RSM with the aid of Design-Expert® software. The results showed that variations in synthesis composition affected both proton conductivity and methanol permeability, with chitosan content identified as the most influential factor. The developed quadratic models achieved coefficients of determination (R2) of 0.8187 for proton conductivity and 0.8458 for methanol permeability. The optimization process generated three solutions with an overall desirability value of 0.831, and one recommended optimum composition consisted of 2.18 g chitosan, 319.44 mg graphite, 148.11 mL sulfur, and 0.7772 g magnetite, which was predicted to produce a proton conductivity of 33.22 mS/cm and a methanol permeability of 4.41 × 10-6 cm2/s. These findings demonstrate that the combined LIP and RSM approaches can be used to predict the optimum synthesis composition of composite membranes with the potential to satisfy the performance requirements of electrolyte membranes for DMFC applications. However, the predicted optimum composition should be validated through confirmation experiments.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	S-doped graphene layer, magnetit, kitosan, Response Surface Methodology (RSM), Direct Methanol Fuel Cell (DMFC). ============================================================================================================================ S-doped graphene layer, magnetite, chitosan, Response Surface Methodology (RSM), Direct Methanol Fuel Cell (DMFC).
Subjects:	Q Science Q Science > QD Chemistry Q Science > QD Chemistry > QD1 Oxidation-reduction reaction. Q Science > QD Chemistry > QD117 Absorption Q Science > QD Chemistry > Polymerization Q Science > QD Chemistry > QD341.H9 Graphene Q Science > QD Chemistry > QD471 Chemical compounds - Structure and formulas Q Science > QD Chemistry > QD481 Chemical structure.
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Chemistry > 47201-(S1) Undergraduate Thesis
Depositing User:	Armellyda Cindy Sulistya
Date Deposited:	04 Aug 2026 06:19
Last Modified:	04 Aug 2026 06:19
URI:	http://repository.its.ac.id/id/eprint/143211

Actions (login required)

View Item