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All Journal Indonesian Journal of Chemical Science and Technology J.Pelastek
DITA ARIYANTI
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Electrical & Electronics Engineering Energy Health Professions Materials Science & Nanotechnology Nursing

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Analisis Pemodelan Statistik Untuk Monitoring dan Evaluasi Kinerja Laboratorium MIPA Berbasis Pendekatan Big Data: Statistical Modeling Analysis for Monitoring and Evaluating The Performance of The MIPA Laboratory Based on A Big Data Approach Ninik Triayu Susparini; Marwita; Dita Ariyanti
JURNAL PENGELOLAAN LABORATORIUM SAINS DAN TEKNOLOGI Vol 3 No 1 (2023): Juni 2023
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pelastek.v3i1.41900

Abstract

Penelitian ini mengkaji penerapan pemodelan statistik berbasis big data untuk monitoring dan evaluasi kinerja laboratorium MIPA. Melalui tinjauan literatur komprehensif, studi ini mengeksplorasi tren terkini dalam analitik big data, pemodelan statistik, dan sistem monitoring kinerja laboratorium. Hasil menunjukkan bahwa integrasi teknologi big data dengan pemodelan statistik canggih dapat secara signifikan meningkatkan efisiensi operasional, akurasi analisis, dan pengambilan keputusan di laboratorium MIPA. Pendekatan ini memungkinkan analisis real-time, prediksi tren, dan optimalisasi sumber daya. Namun, implementasinya menghadapi tantangan seperti keamanan data, integrasi sistem, dan kebutuhan akan keterampilan khusus. Kesimpulannya, adopsi pendekatan big data dalam pemodelan statistik membuka peluang besar untuk peningkatan kinerja laboratorium MIPA, meskipun memerlukan investasi dalam infrastruktur dan pengembangan kompetensi.
Hydrothermal Production of Furfural from Corn Husk Biomass Using an AlCl₃–HCl Catalytic System Novia Kirana Maharani; Desi Karnisa; Dita Ariyanti; Meka Saima Perdani
Indonesian Journal of Chemical Science and Technology (IJCST) Vol. 9 No. 2 (2026): JULY 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/ijcst.v9i2.73540

Abstract

Hydrothermal production of furfural from corn husk biomass was investigated using an AlCl₃–HCl–H₂SO₄ catalytic system. Hydrothermal treatment was carried out in a Teflon-lined reactor at 120 °C for 6 h with a solid-to-liquid ratio of 1:20 (g/mL). The catalytic system consisted of 200 mg AlCl₃, 330 µL HCl, and 110 µL H₂SO₄. Structural and chemical changes during the conversion process were analyzed using FTIR and HPLC. The results indicated partial degradation of lignocellulosic components, particularly hemicellulose, which promoted furfural formation during hydrothermal conversion. Quantitative analysis showed that furfural yield increased from 0.30% without catalyst addition to 2.37% with the AlCl₃-containing catalytic system, indicating the catalytic contribution toward hydrolysis and dehydration reactions. In addition, comparison of solvent systems showed that dimethyl carbonate (DMC) produced higher furfural yield (2.37%) than dichloromethane (DCM) (1.03%) under similar hydrothermal conditions, suggesting that solvent selection influenced furfural stabilization and conversion efficiency. Although the obtained furfural yield remained lower than values reported for optimized acid-catalyzed systems, the findings demonstrate the potential of corn husk biomass as a renewable feedstock for furfural production and provide preliminary insight into catalyst-assisted hydrothermal conversion.
Co-Authors Desi Karnisa Marwita Meka Saima Perdani Novia Kirana Maharani Susparini, Ninik Triayu