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Eka Cahya Muliawati
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Biochemistry, Genetics & Molecular Biology Chemistry Mathematics Physics Public Health

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Variation in SiMn Composite Composition Using Modified Polydimethylsiloxanes (PDMS) on Corrosion Properties and Contact Angles Eka Cahya Muliawati; Dwi Lulu Laurantini
Science Journal Get Press Vol 2 No 2 (2025): April, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v2i2.134

Abstract

Corrosion is one of the main challenges faced by advanced industries today because it can cause major losses in terms of safety and economy. One of the common protection methods used to reduce the impact of corrosion is polymer-based coating, which can provide hydrophobic properties on the substrate surface. This study aims to examine the effect of variations in the composition of silica-manganese (SiMn) composites reinforced with polydimethylsiloxane (PDMS) on hydrophobic properties, corrosion resistance, and contact angles. The coating method used is spin coating, with the substrate being a mixture of hard and strong silica and manganese which has corrosion-resistant properties. The SiMn compositions varied were 40%:60%, 50%:50%, and 60%:40%. This study is experimental, using tools such as HEM-3D, XRD, SEM, and FTIR. The coating process was carried out by mixing 2.5 grams of PDMS with silica and manganese powders with a total weight of 1 gram, according to the composition variations. The contact angle test was conducted using a DSLR camera, while the corrosion resistance test was conducted using the immersion method in sulfuric acid with the mass loss method. The results showed that variations in composition affected the contact angle and corrosion resistance of the SiMn-PDMS layer. The composition of 0.6 grams of silica and 0.4 grams of manganese produced the highest contact angle of 120.66⁰, indicating higher hydrophobic properties. Conversely, the composition of 0.4 grams of silica and 0.6 grams of manganese showed the lowest corrosion rate, which was 1.57 cm/hour.
Synthesis and Characterization of Optical Properties of Talc/Montmorillonite Nanocomposites via Sol-Gel and Ball Milling Methods Sefrilita Risqi Adikaning Rani; Eka Cahya Muliawati
Science Journal Get Press Vol 2 No 3 (2025): July, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v2i3.164

Abstract

Nanocomposites derived from talc (Mg₃Si₄O₁₀(OH)₂) and montmorillonite (MMT) have gained considerable attention due to their tunable optical, mechanical, and thermal properties. This study systematically compares two synthesis techniques—sol-gel processing and ball milling—for fabricating talc/MMT nanocomposites, with a focus on their optical characteristics. The sol-gel method promoted homogeneous nanoparticle dispersion, while ball milling enhanced exfoliation and reduced particle size. Comprehensive characterization via X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), ultraviolet-visible (UV-Vis) spectroscopy, and photoluminescence (PL) spectroscopy revealed that the nanocomposites exhibit strong UV absorption in the 200–400 nm range, a reduced optical bandgap from 4.5 eV to 3.8 eV, and enhanced PL intensity compared to pristine materials. These findings suggest promising applications in UV shielding, optoelectronics, and photocatalytic systems. The study concludes that the choice of synthesis method plays a pivotal role in tailoring the nanocomposites’ structural integrity and optical functionality, with sol-gel favoring intercalation and uniformity, while ball milling enhances exfoliation and defect-mediated performance. This comparative study highlights the critical influence of synthesis method on the structural, morphological, and optical properties of talc/MMT nanocomposites, providing valuable insights for optimizing layered silicate-based materials for advanced functional applications.
Engineering of Superhydrophobic Materials: Applications and Prospects in Oil-Water Separation Technology Silvia Devi Eka Putri; Eka Cahya Muliawati
Science Journal Get Press Vol 2 No 3 (2025): July, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v2i3.165

Abstract

The rapid growth of industries like petrochemical processing, offshore drilling, transportation, and metallurgy has increased oily wastewater and oil spills, threatening ecosystems and human health. Traditional oil-water separation methods often struggle with low efficiency and poor stability, especially against stable emulsions. This study investigates superhydrophobic materials fabricated via dip-coating on stainless steel mesh, electrospinning of PVDF membranes, and chemical etching of aluminum surfaces. All materials showed excellent water repellency with contact angles over 150°, achieving oil-water separation efficiencies above 97% for various oils. The dip-coated mesh achieved the highest flux and separation efficiency, while the electrospun membrane offered enhanced chemical resistance and durability. Despite promising results, challenges remain including mechanical abrasion resistance, environmental concerns over hydrophobic coatings, and scalability for industrial use. Future research should focus on eco-friendly, self-healing, and stimulus-responsive coatings to improve durability and environmental safety, advancing the practical application of superhydrophobic materials in wastewater treatment and oil spill remediation.
Integration of Photocatalysis and Membrane Technology as a Hybrid System for Microplastic Degradation in Wastewater Sri Rahayu Dwi Purnaningtyas; Mila Sari; Eka Cahya Muliawati; Afridon
Science Journal Get Press Vol 3 No 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v3i1.411

Abstract

Microplastic contamination in wastewater poses a serious threat to aquatic ecosystems and human health due to its persistence and limited removal by conventional treatment processes. This study evaluates a hybrid photocatalytic membrane reactor (PMR) integrating TiO₂-based photocatalysis with membrane filtration for the removal and degradation of polyethylene (PE), polypropylene (PP), and polyester (PET) microplastics. Photocatalytic membranes were fabricated via phase inversion using polyethersulfone (PES) and characterized by SEM, XRD, contact angle, porosity, and water flux measurements.TiO₂ incorporation significantly increased membrane hydrophilicity and permeability while maintaining the asymmetric structure and anatase crystallinity. The hybrid PMR achieved microplastic removal efficiencies above 99% for all polymers, outperforming membrane-only filtration and standalone photocatalysis. FTIR and SEM analyses confirmed oxidative polymer chain scission, while mineralization efficiencies reached 8.7%, 11.3%, and 18.9% for PE, PP, and PET, respectively. The degradation followed apparent first-order kinetics, with PET showing the highest rate constant. Hydroxyl radicals were identified as the dominant reactive species. The PMR also exhibited mitigated membrane fouling, stable performance over five cycles, and negligible TiO₂ leaching. The specific energy consumption ranged from 0.38 to 0.46 kWh m⁻³ with an estimated operational cost of USD 0.42–0.53 per m³. These findings demonstrate the technical and economic feasibility of the hybrid PMR for advanced microplastic treatment.
Exploration of CRISPR-Cas9 Gene Editing System Utilization for Targeted Induction of Apoptosis in Cancer Cells Resti Ariani; Eka Cahya Muliawati; Zola Efa Harnis
Science Journal Get Press Vol 3 No 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v3i1.436

Abstract

The CRISPR-Cas9 gene editing system represents a powerful approach for precision targeting of genetic determinants involved in cancer cell survival. This study evaluated the ability of CRISPR-Cas9 to induce apoptosis in cancer cells through targeted disruption of anti-apoptotic genes. Acute myeloid leukemia (HL-60 and KG-1) and anaplastic thyroid cancer (8505C and C643) cell lines were used to knockout BIRC5 (survivin) and MADD using specific single-guide RNAs. Efficient genome editing was achieved, with indel formation exceeding 50% across all models. Targeting BIRC5 and MADD significantly reduced cell viability to 39.8–54.6% of control levels and induced substantial apoptosis. Total apoptotic populations reached 52.8–60.1% following BIRC5 knockout and 45.3–50.6% following MADD knockout. Apoptosis induction was confirmed by caspase-3/7 activation, increased Sub-G1 accumulation, and cleavage of apoptosis-related proteins, indicating activation of the intrinsic apoptotic pathway.Notably, BIRC5 disruption consistently produced stronger pro-apoptotic effects than MADD across all cancer models. Overall, these findings highlight the therapeutic potential of CRISPR-Cas9–mediated targeting of anti-apoptotic genes as a promising strategy for precision oncology and for overcoming resistance to conventional cancer therapies.
The Application of CRISPR-Based Genetic Engineering for the Elimination of Harmful Inherited Diseases in Human Embryos Eka Cahya Muliawati
Science Journal Get Press Vol 3 No 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v3i1.446

Abstract

CRISPR-Cas9 genome editing offers a theoretical approach for preventing inherited diseases by correcting pathogenic mutations at the embryonic stage. This study presents a simulation-based assessment of CRISPR-Cas9–mediated correction of the pathogenic CAG repeat expansion in the Huntingtin (HTT) gene using a human embryo model. The analysis evaluated predicted editing efficiency, early developmental outcomes, unintended genomic modifications, and Huntingtin protein expression. Simulation results indicated that precise genetic correction was achieved in 42.7% of embryos, while a substantial proportion exhibited mosaic or partial editing. CRISPR-edited embryos showed a modest improvement in predicted blastocyst formation compared to untreated mutant controls but remained inferior to wild-type embryos. Unintended genomic alterations, including off-target edits and large deletions near the target site, were observed in a notable subset of embryos. Protein expression analysis suggested partial restoration of normal Huntingtin localization in successfully corrected embryos.These findings indicate that although CRISPR Cas9 mediated germline correction is theoretically feasible, persistent mosaicism and safety concerns currently limit its clinical applicability. Germline genome editing should therefore remain restricted to carefully regulated research settings.
Marine-Derived Biodegradable Polymers for Cold-Water Marine Pollution Eka Cahya Muliawati; Titis Istiqomah
Science Journal Get Press Vol 1 No 1 (2024): January, 2024
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v1i1.448

Abstract

Marine plastic pollution persists as a global environmental crisis, particularly in cold-water marine environments where low temperatures significantly inhibit the degradation of most commercial biodegradable plastics. Conventional polymers such as polyethylene (PE) and polypropylene (PP) accumulate for decades, fragmenting into microplastics that permeate marine ecosystems from coastal zones to polar and deep-sea regions. Although biodegradable polymers have been proposed as an alternative, many widely used materials, including polylactic acid (PLA), exhibit negligible degradation in cold seawater. This study experimentally evaluates the degradation and solubility behavior of selected marine-derived biodegradable polymers under cold-water marine conditions, with a specific focus on temperature-dependent mechanisms. Emphasis is placed on comparative performance among candidate polymers, including marine-derived polysaccharides and microbially produced polyhydroxyalkanoates, as well as emerging supramolecular systems designed for rapid dissolution in seawater. By integrating experimental observations with insights from marine microbiology, polymer chemistry, and material design, this study identifies key pathways and design principles for developing polymers that remain effective in cold marine environments, contributing to the development of environmentally benign plastic alternatives
Number-Theoretic Cryptographic Framework for Securing Generative Artificial Intelligence Against Adversarial Attacks Eka Cahya Muliawati
Science Journal Get Press Vol 1 No 1 (2024): January, 2024
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v1i1.472

Abstract

The rapid adoption of Generative Artificial Intelligence (GenAI) has intensified concerns regarding security, privacy, and robustness against adversarial attacks. Most existing defense mechanisms rely on adversarial training, differential privacy, or cryptographic techniques applied as external protection layers, which often lack formal mathematical guarantees and are weakly coupled with the internal generative process.This study proposes a novel Number-Theoretic Cryptographic Framework that embeds cryptographic primitives directly into the GenAI lifecycle, including latent-space representations and model parameter handling. Unlike prior approaches, the proposed framework integrates number-theoretic hardness assumptions specifically lattice-based and elliptic-curve cryptography into the core generative mechanism, enabling mathematically grounded and provably secure protection against adversarial exploitation.A comprehensive synthetic dataset is constructed by jointly modeling cryptographic parameters, generative model specifications, and adversarial attack scenarios to systematically evaluate the framework. Experimental results demonstrate that number-theoretic cryptographic integration significantly reduces privacy leakage and model extraction vulnerability while preserving generative utility. Lattice-based schemes provide the strongest privacy protection, while elliptic-curve cryptography achieves a balanced trade-off between security and computational efficiency. This work introduces a new paradigm for securing GenAI by unifying generative modeling with formal number-theoretic cryptographic security, offering a robust and future-proof solution against both classical and post-quantum adversarial threats.
Direct Catalytic Conversion of Carbon Dioxide to Liquid Fuel at Ambient Temperature: A Novel Metal-Organic Framework Approach Eka Cahya Muliawati
Science Journal Get Press Vol 1 No 1 (2024): January, 2024
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v1i1.450

Abstract

The increasing concentration of atmospheric CO₂ has prompted the development of efficient strategies for carbon capture and utilization. In this study, a novel bimetallic Cu-Zn/ZT metal-organic framework (MOF) was synthesized and evaluated for direct hydrogenation of CO₂ to methanol and ethanol at ambient temperature (30°C) and 1 atm. The Cu-Zn/ZT catalyst exhibited superior activity compared to monometallic analogs, achieving a CO₂ conversion of 12.5% with 78% selectivity toward methanol and 15% toward ethanol. Characterization revealed a highly crystalline framework, uniform mesoporosity (~1.2 nm), and synergistic Cu⁺/Zn²⁺ active sites that facilitate H₂ activation and CO₂ adsorption. The catalyst demonstrated good stability and reusability over five cycles, retaining high selectivity. These findings highlight the potential of rationally designed bimetallic MOFs for energy-efficient CO₂-to-liquid-fuel conversion under mild conditions, offering a promising route for sustainable carbon utilization
Achieving Quantum Supremacy with Stabilized Qubits: Performance Comparison Against Classical Supercomputing Systems Eka Cahya Muliawati
Science Journal Get Press Vol 1 No 1 (2024): January, 2024
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze recent developments in quantum supremacy by comparing the computational performance of stabilized superconducting qubit systems with classical supercomputing capabilities. A systematic literature review was conducted on major experimental studies published between 2019 and 2024, focusing on random circuit sampling, qubit stability, gate fidelity, and computational runtime comparisons. The analysis covers key quantum processors, including Sycamore and Zuchongzhi, by evaluating three main parameters: number of qubits, circuit complexity, and performance gap relative to classical simulation.The results show that quantum processors with 50–100 qubits and high gate fidelity are able to complete specific sampling tasks within seconds to hours, whereas equivalent classical simulations would require thousands to billions of years. The findings also indicate that computational advantage increases exponentially with system scale and is strongly influenced by qubit stability and error suppression techniques. Although the demonstrated tasks remain specialized and not yet applicable to practical problems, the evidence confirms that stabilized qubit systems have achieved a measurable computational regime beyond classical feasibility.This review provides a clear synthesis of current experimental achievements and highlights that future progress toward practical quantum advantage depends on improvements in error correction, scalability, and hardware reliability.
Co-Authors Afridon Dwi Lulu Laurantini Harnis, Zola Efa Hasnawati Kalasta Ayunda Putri Mila Sari Mila Sari Pratiwi Ratih Halimatus Sya'diah Purnaningtyas, Sri Rahayu Dwi Rani, Sefrilita Risqi Adikaning Resti Ariani Sandi Setiadi Silvia Devi Eka Putri Titis Istiqomah