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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.
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
Discovery of Active Bacterial Microbiome in Human Brain Tissue: Implications for Neurodegenerative Diseases and Depression Pratiwi Ratih Halimatus Sya'diah; 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.v1i1.449

Abstract

The concept of a sterile human brain has recently been challenged by emerging evidence suggesting the presence of microbial DNA and components within brain tissue. This study aimed to investigate the presence and disease-specific patterns of microbial signatures in human brains affected by Alzheimer’s disease and depression, compared to healthy controls. Using 16S rRNA sequencing on post-mortem brain samples, we detected microbial DNA in all groups, with notable differences in diversity and composition. Alzheimer’s brains exhibited reduced microbial richness and were enriched in genera such as Cutibacterium and Streptococcus, which may contribute to neuroinflammation and amyloid aggregation. Depressive brains showed increased abundance of Eggerthella, potentially influencing neurotransmitter metabolism and systemic inflammatory pathways, while control brains had higher prevalence of Lactobacillus and Bifidobacterium, consistent with neuroprotective roles. These findings support the emerging “brain microbiome” concept and suggest that low-abundance microbial communities may reflect disease-associated processes or interactions via the microbiota-gut-brain axis. While causality and microbial viability remain to be established, the study highlights the potential relevance of brain-associated microbes in neurodegenerative and psychiatric disorders and provides a foundation for future experimental and translational research exploring microbiome-targeted diagnostic and therapeutic strategies.
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 | DOI: 10.69855/science.v1i1.470

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.
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.
Tinjauan Literatur Pengaruh pH dan Suhu Terhadap Korosi Baja dan Anti-Fouling Kapal Eka Cahya Muliawati; Nely Handayani; Chatarina Rista Widya Diana; Wahyu Santoso; Alimin; Amirullah; Muchlis Dermawan
JURNAL TECNOSCIENZA Vol. 10 No. 2 (2026): JURNAL TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/95fkyg07

Abstract

Indonesia’s maritime sector relies heavily on ships with steel-hulled structures that are susceptible to corrosion due to interaction with seawater. This corrosion rate is significantly accelerated by microenvironmental factors such as temperature fluctuations and acidity levels (pH). This qualitative study employs a literature review method to analyze secondary data from 15 reputable scientific journals published between 2021 and 2026. The results of the study show that acidic conditions (pH < 7) and rising seawater temperatures have been proven to simultaneously accelerate the corrosion rate of steel ship hull materials. As a primary protective solution, antifouling paint technology functions effectively as a dual physical barrier to break direct contact between the metal and the electrolyte while preventing the attachment of marine microorganisms. Based on a comparative matrix, spray-applied polyurethane demonstrated the most optimal protective efficiency on steel, with the lowest average corrosion rate of 2.5402 × 10?? mmpy. In addition, the use of natural materials such as sweet orange peels and kepok banana peels has great potential as environmentally friendly coating alternatives, with average corrosion rates ranging from 0.010 to 0.045 mmpy. Although the application of these coatings faces challenges such as high costs and weather-related factors, optimizing these protective coatings is crucial for improving ship operational efficiency.   
Literature Review Peran Plasticizer dalam Meningkatan Kinerja Bioplastik Berbasis Kitosan Eka Cahya Muliawati; Ayu Pupu; Setiya Eko Nurkaswoto; Yudistira Kusferianto; Moch. Agil Soeharja; Hasibur Rasyid Juniawan; Alfonsius Firman Amsalino
JURNAL TECNOSCIENZA Vol. 9 No. 2 (2025): JURNAL TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/hpzqpm42

Abstract

Limbah plastik menjadi salah satu isu lingkungan terbesar dunia modern, karena sifat plastik konvensional yang sulit terurai. Penelitian ini mengulas potensi pembuatan plastik biodegradable dari berbagai macam kombinasi kitosan dari limbah kulit udang dengan bahan lainnya. Kombinasi ini bertujuan untuk meningkatkan sifat mekanik, biodegradabilitas, dan ketahanan kelembapan plastik. Metode review literatur digunakan untuk mengidentifikasi formulasi terbaik melalui analisis bahan, metode, dan hasil pengujian dari berbagai penelitian. Total artikel yang menjadi sumber review sebanyak 30 jurnal ilmiah yang diterbitkan dalam rentang tahun 2018-2024 meliputi peran plasticizer dalam peningkatan kinerja bioplastik berbasis kitosan. Penelitian yang menunjukkan hasil uji terbaik  pada kombinasi kitin dan gliserol yang memiliki nilai kuat tarik 38 Mpa, % elongasi 30%, dan lama degradasi 25 hari. Hasil menunjukkan bahwa kitosan mampu meningkatkan kekuatan tarik dan mempercepat biodegradasi plastik. Tantangan seperti rendahnya fleksibilitas plastik tetap memerlukan optimasi formulasi, termasuk penambahan plasticizer dari gliserol. Kajian ini memberikan wawasan komprehensif tentang potensi bioplastik berbasis sumber daya lokal Indonesia sebagai alternatif plastik konvensional.
Co-Authors Adinda Jamilatul Lestari Adinda Jamilatul Lestari Adjie Sulaiman Adrian Felix Fauzi Rianto Afridon Afrimansyah, Mohammad Haris Aldrick, Samuel Evan Alfonsius Firman Amsalino Alimin Amirullah Andhika Darmana Salado Andy Rachman Ardhani, Yuniar Dwi Arinto Eka Prasetyo Raharjo Ayu Pupu Cantika, Putri Riau Chatarina Rista Widya Diana Danied Rifan Firmansach David Yuliana Sari David Yuliana Sari Denis Ryan Afrianto Devan Andriansyah Diajeng Pramesti Widodo Dian Yanuarita Purwaningsih Dwi Lulu Laurantini Dwiky Ari Rahmadi Dwiky Ari Rahmadi Estiwardani, Riswanda Fahrul Rosikin Firnanda, Muhammad Yusron Gasta Rahmadhan Halimatus Sadiyah Haris Fajar Kurniawan Haris Fajar Kurniawan Hasibur Rasyid Juniawan Hilmi Zainul Rizka Irsyad Al Fatah Ivan Maulana Alfandi Ivan Maulana Alfandi Joko Novianto Mila Sari Moch. Agil Soeharja Mubayyina, Al- Muchlis Dermawan Muhammad Alfaridzi Rusdiansyah Muhammad Muchlis Wijaya Muthia Lailyana Nanang Fakhrur Rozi Nely Handayani Niken Larasati Pratiwi Ratih Halimatus Sya'diah Qusnul Khotimah, Nimas Rachman Arief Rachman Arief Rachman Arief, Rachman Rani, Sefrilita Risqi Adikaning Resti Ariani Ria Sri Hapeni Setiya Eko Nurkaswoto Silvia Devi Eka Putri Sri Rahayu Dwi Purnaningtyas Syah Muhammad Syam Syaiful Hidayat Syaiful Hidayat, Syaiful Syaputra, Muhammad Rashid Titis Istiqomah Titus Kristanto Wachda Yuniar Rochmah Wahyu Santoso Wahyu Wibisono Nur Aminnullah Wahyu Wibisono Nur Aminnullah Yudistira Kusferianto Yustia Wulandari Mirzayanti Zola Efa Harnis