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Comparative Kinetic Modelling and Performance Evaluation Of Immobilized Media Using Zeolite and Biokeramic In an Anaerobic Fixed-Bed Reactor Treating Dairy Sludge Waste Harun Pampang; Maria Assumpta Nogo Ole; Dian Ranggina; Prisca Caesa Moneteringtyas
Reaktor Volume 26 No.1 April 2026
Publisher : Department of Chemical Engineering, Faculty of Engineering, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/reaktor.82403

Abstract

This study evaluates the performance of anaerobic fixed-bed reactors using two different immobilization media, natural zeolite and porous bioceramic, for treating dairy sludge waste. Kinetic modeling was performed using Monod, Contois, and Moser models, implemented by MATLAB to determine substrate degradation (sCOD) and methane production rates. The results indicated that for the zeolite media, the Moser model provided the best fit R2 of 0.9287 and RMSE of 500.12 mg/L with an exponential constant (n) of 2.92, reflecting high microbial sensitivity and synergistic effects in the biofilm. In contrast, the bioceramic media showed higher statistical stability across all models, with the Monod and Moser models achieving an identical R2 of 0.9939. However, a significant functional discrepancy was observed, while bioceramic provided superior statistical fitting, it failed to facilitate effective methanogenesis, with methane concentrations remaining below 10%. Zeolite, despite a slightly lower statistical fit, achieved a peak methane concentration of 37.82% on day 6. This suggests that zeolite's cation exchange capacity effectively mitigates ammonia inhibition from protein-rich dairy sludge, a factor not captured by simplified empirical deterministic kinetic models. This research emphasizes that statistical stability in kinetic modeling did not inherently correlate with bio-energy recovery efficiency, affrim the importance of media selection.
Optimasi Geometri Senyawa Hidroksiklorokuin (HCQ) Menggunakan Pendekatan DFT dengan Basis 6-311G Prisca Caesa Moneteringtyas
JURNAL REDOKS : JURNAL PENDIDIKAN KIMIA DAN ILMU KIMIA Vol 8 No 2 (2025): Jurnal Redoks : Jurnal Pendidikan Kimia dan Ilmu Kimia
Publisher : Program Studi Pendidikan Kimia STKIP Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/re.v8i2.3531

Abstract

Penelitian ini bertujuan untuk menentukan metode kimia komputasi yang paling sesuai dalam mengoptimasi geometri senyawa hidroksiklorokuin (HCQ) sebagai turunan dari klorokuin (CQ). Tiga pendekatan kalkulasi kuantum digunakan dalam studi ini, yaitu metode semi-empiris (PM3, AM1, PM6), Hartree-Fock (HF), dan Density Functional Theory (DFT) dengan variasi himpunan basis (3-21G, 6-31G, dan 6-311G). Evaluasi dilakukan melalui perbandingan nilai pergeseran kimia (δ, ppm) ¹H-NMR hasil perhitungan terhadap data eksperimen. Parameter statistik yang digunakan meliputi nilai PRESS (Predicted Residual Error Sum of Squares) dan koefisien determinasi (r²). Hasil menunjukkan bahwa metode DFT dengan himpunan basis 6-311G menghasilkan nilai PRESS terendah (5,0892) dan r² paling mendekati 1 (0,9695), menandakan kesesuaian tertinggi dengan data eksperimen. Optimasi geometri juga menunjukkan bahwa struktur HCQ mengalami perubahan konformasi menuju bentuk paling stabil. Oleh karena itu, metode DFT 6-311G direkomendasikan sebagai pendekatan yang andal dan representatif dalam pemodelan struktur molekul HCQ secara teoretis.
A Review of Maghemite Nanoparticles as Environmental Sensors Imas Masriah; Devi Lestari; Prisca Caesa Moneteringtyas; Siti Mahmudha; Sulwiyatul Kamariyah Sani
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 3 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i3.5354

Abstract

The increasing urgency to monitor and mitigate environmental pollution has driven significant interest in the development of advanced sensing technologies. Nanotechnology presents promising solutions through the application of nanoscale materials, among which maghemite nanoparticles (γ-Fe2O3) have garnered considerable attention due to their unique physicochemical properties, high chemical stability, a large specific surface area, and superparamagnetic behavior, making them suitable for separation, target deployment, and sensor regeneration. It functionalized maghemite nanoparticles to enhance their selectivity toward specific pollutants, including heavy metals ( e.g., Pb2+ and Cd2+) and toxic gases (e.g., NO, NH3, and H2S). These articles present a review of the structural and physicochemical characteristics of maghemite nanoparticles, including commonly applied synthesis methods, sensor mechanism, and their applications in pollutant detection, such as heavy metals and toxic gases. The review also highlights current challenges and outlines future directions for the development of more efficient, affordable, and sustainable maghemite-based sensors for next-generation environmental monitoring systems.
Fabrication and Experimental Evaluation of a Small-Scale Pyrolysis Reactor for Coconut Shell Charcoal Production Melvin Emil Simanjuntak; Jandri Fan H.T. Saragi; Muhammad Iqbal Murti; Prisca Caesa Moneteringtyas; Paini Sri Widyawati
DINAMIS Vol. 14 No. 1 (2026): Dinamis
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/dinamis.v14i1.24710

Abstract

The utilization of coconut shell biomass for small-scale charcoal production through pyrolysis offers a renewable energy alternative, yet the time-dependent evolution of charcoal properties during carbonization remains underexplored. This study aims to fabricate a small-scale fixed-bed pyrolysis reactor and experimentally evaluate the effect of pyrolysis time on coconut shell charcoal characteristics at a constant operating temperature of 400°C. The reactor was fabricated from carbon steel with an effective volume of 150.6 L. Pyrolysis experiments were conducted for 300 minutes, with charcoal samples collected at 30‑minute intervals. The results show that increasing pyrolysis time progressively reduced both charcoal yield and bulk density, with final values of 14.7 % and 6.67 kg/m³, respectively at 210 minutes, after which both stabilized. The carbonization process exhibited three distinct stages: early gradual devolatilization (30–120 min), rapid structural transformation (120–180 min), and stabilization (after 210 min). Visual observations revealed a transition from dark brown to deep black coloration with increasing residence time, followed by increased fragility at prolonged durations. The novelty of this work lies in the application systematic interval‑based sampling that reveals the dynamic evolution of charcoal properties as a function of residence time, rather than reporting only final product characteristics. These findings confirm that pyrolysis time is a key operational parameter and provide a practical basis for selecting optimal durations (120–180 min) to obtain structurally stable charcoal in small‑scale fixed‑bed reactors.
CFD-Based Aerodynamic Optimization of Vehicle-Mounted Axial Wind Turbine Blades Rufinus Nainggolan; Husin Ibrahim; Prisca Caesa Moneteringtyas; Suadi Suadi; Baringin Sibarani; Soni Hestukoro; Abdul Razak
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 8 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i8.6240

Abstract

The increasing demand for sustainable energy solutions has encouraged the development of renewable energy technologies that can be integrated into various applications, including transportation systems. Wind energy generated from vehicle-induced airflow represents an alternative energy source that remains underutilized due to complex aerodynamic characteristics and unstable flow conditions. This study aimed to optimize the aerodynamic performance of vehicle-mounted axial wind turbine blades by determining the most suitable angle of attack using Computational Fluid Dynamics (CFD) simulations. The research method involved numerical analysis using CFD software to evaluate the aerodynamic behavior of turbine blades under different angle-of-attack variations of 0°, 5°, 10°, 15°, and 20°. Performance evaluation was conducted based on the lift-to-drag ratio and velocity contour distribution to identify the optimal blade configuration. The results showed that the angle of attack significantly affected aerodynamic performance, with the 10° configuration producing the highest lift-to-drag ratio and the most favorable airflow characteristics. Higher angles of attack resulted in increased flow separation and aerodynamic losses, whereas lower angles produced insufficient lift generation. The optimized turbine design consisted of six blades with a rotor diameter of 0.35 m, demonstrating the potential application of vehicle-induced airflow energy harvesting systems. In conclusion, CFD-based optimization provided an effective approach for improving the performance of vehicle-mounted wind turbine blades and supported future development of renewable energy technologies for sustainable transportation applications.
Analisis Kinerja Pengering Putar Bertenaga Surya untuk Pengeringan Jamur Tiram Menggunakan Dua Kolektor yang Ditutup dengan Plastik UV Melvin Emil Simanjuntak; Farhan Habib; Paini Sri Widyawati; Prisca Caesa Moneteringtyas; Agnes Br. Manurung
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 5 No 2 (2026): Agustus
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v5i2.454

Abstract

Oyster mushrooms have a high moisture content, making them highly susceptible to postharvest deterioration. Solar energy-based drying offers an alternative way to extend shelf life while reducing energy use and environmental impact. This study evaluated the performance of a solar-powered rotary dryer equipped with two UV-plastic-covered collectors for drying oyster mushrooms. The experiment ran over two days, for a total drying time of 16 hours. The observed parameters included collector temperature, solar radiation intensity, moisture content, drying rate, collector efficiency, and dryer efficiency. The results showed that the average collector temperature reached 42.7°C, while the overall average solar radiation intensity was 351.6 W/m². The average radiation intensities received by the right and left collectors were 392.2 and 311.1 W/m², respectively. Drum 1 achieved the lowest final moisture content (5.00%), while Drum 3 reached 5.20%. Collector and dryer efficiencies were 74.92% and 12.55%, respectively. The system shows potential as an effective, environmentally friendly technology for drying oyster mushrooms.