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Journal of New Trends in Sciences
Published by CV. Aksara Global Akademia
ISSN : 29641799     EISSN : 29641624     DOI : https://doi.org/10.59031/jnts.v3i1
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Earth & Planetary Sciences
Journal of New Trends in Sciences merupakan jurnal ilmiah yang bertujuan untuk mempublikasikan hasil-hasil penelitian terbaru, inovatif, dan multidisipliner dalam berbagai bidang ilmu pengetahuan dan teknologi. Jurnal ini memfasilitasi diskusi akademik mengenai tren mutakhir, pendekatan interdisipliner, serta pengembangan teori dan aplikasi ilmiah dalam konteks global. Cakupan topik dalam jurnal ini mencakup (namun tidak terbatas pada): Ilmu alam (fisika, kimia, biologi) Ilmu komputer dan teknologi informasi Matematika dan statistika terapan Teknologi lingkungan dan keberlanjutan Rekayasa dan inovasi teknologi Kesehatan dan sains kehidupan Sains data dan kecerdasan buatan Pendidikan sains dan STEM Interdisiplin ilmu dalam konteks sains dan teknologi Jurnal ini menerima artikel asli hasil penelitian, review, serta case study yang relevan dengan perkembangan dan tantangan baru dalam ilmu pengetahuan.
Arjuna Subject : Umum - Umum
Articles 59 Documents
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Analisis Biomekanika Gerakan Atlet Renang untuk Optimalisasi Latihan Wijono Sukaputra Agussalim; Trifena Ruth Clara
Journal of New Trends in Sciences Vol. 3 No. 1 (2025): Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v3i1.749

Abstract

This study aims to analyze the effect of body angle variations on propulsion force, drag coefficient, and freestyle swimming performance using a biomechanical approach. Movement efficiency in swimming plays a crucial role in improving athlete performance. This study employed a quantitative experimental design with university or club-level swimmers with at least three years of training experience as subjects. Subjects were selected through purposive sampling with the criteria of being healthy, familiar with freestyle techniques, and willing to follow the research procedures. The instruments used included 3D motion capture to record body angles and movement coordination, force sensors to measure propulsion force and drag coefficient, and a timekeeping system to calculate average speed. The body angle variations tested were 0°, 15°, and 30°, each with three replications. Data were analyzed using descriptive statistics to describe the mean, standard deviation, and data distribution, and comparative statistics (ANOVA or paired t-test) to compare performance between angle variations. The results showed that a 15° body angle provided optimal performance, with increased average speed and propulsion efficiency compared to 0° and 30° body angles. These findings confirm that body angle regulation plays a crucial role in reducing water resistance and increasing propulsion. The study concluded that a 15° body angle is the ideal position for improving freestyle swimming performance. Further research is recommended to expand the number of subjects, explore variations in other swimming strokes, and integrate physiological data for more comprehensive results.
Analisis Statistika Multivariat untuk Menilai Keterkaitan Gaya Hidup Digital dengan Tingkat Stres Mahasiswa Rusliadi Rusliadi; Mohamad Sofie
Journal of New Trends in Sciences Vol. 3 No. 1 (2025): Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v3i1.750

Abstract

Digital lifestyle has become an integral part of university students' daily lives, involving the use of social media, digital devices, and digital content consumption. The development of digital technology has positive impacts, facilitating easy access to information and social interactions. However, excessive use can lead to digital stress, which negatively affects students' mental health. This study aims to identify the key factors influencing students' digital lifestyles and analyze their relationship with stress levels. A quantitative approach with a survey method was employed, using a questionnaire to measure digital lifestyle, including social media usage frequency and digital device interaction duration, along with the Perceived Stress Scale (PSS) to measure students' stress levels. The factor analysis results show that social media usage and prolonged interaction with digital devices are significant factors contributing to students' stress. Furthermore, sleep disturbances and social anxiety were identified as other significant factors associated with increased stress. The multivariate regression analysis confirmed that students who spent more time on social media reported higher stress levels, associated with social anxiety and sleep disturbances caused by digital addiction. This study suggests the importance of managing digital device usage and raising students' awareness of the negative impacts of excessive social media use. The findings imply the need for support from universities and mental health organizations to provide interventions that help students manage their digital lifestyles, reduce stress, and improve their mental well-being.
Rekayasa Bahan Bangunan dari Abu Vulkanik sebagai Alternatif Semen Ramah Lingkungan Edi Priyono; Mettadewi Wong
Journal of New Trends in Sciences Vol. 3 No. 1 (2025): Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v3i1.751

Abstract

This study aims to analyze the effect of body angle variations on propulsion force and water resistance in swimmers through a biomechanical approach. This research is motivated by the importance of movement efficiency in swimming, where suboptimal body positions can increase drag coefficient, thus slowing down swimming speed. The method used is a quantitative experimental design, involving professional and semi-professional swimmers. Instruments used include a motion capture system to record body movements, force sensors to measure propulsion and water resistance, and biomechanical software to analyze force vectors and drag coefficient. The results show a significant difference in swimming performance based on body angle variations. At a 0° angle, the average propulsion force is 145.3 N with a drag coefficient of 0.92. At a 15° angle, the propulsion force increases to 162.7 N with the lowest drag coefficient of 0.78. Meanwhile, at a 30° angle, the propulsion force decreases to 150.1 N, and the drag coefficient increases to 0.88. These findings indicate that a 15° body angle is the most optimal position, as it minimizes water resistance and maximizes propulsion force, thus improving swimming movement efficiency. The implications of this study suggest that biomechanical approaches can be used to design more efficient swimming training programs. The findings are also beneficial for swimmers and coaches in developing more effective training strategies.
Peran Bakteri Endofit dalam Peningkatan Ketahanan Pangan Berbasis Pertanian Organik Eka Satria Wibawa; Andi Ningrat
Journal of New Trends in Sciences Vol. 3 No. 2 (2025): Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v3i2.752

Abstract

Modern agriculture faces serious challenges such as climate change, soil degradation, and dependence on chemical fertilizers and pesticides, which negatively impact the environment and human health. To support sustainable food security, innovative and environmentally friendly solutions are required. One promising alternative is the use of endophytic bacteria as biological agents to enhance plant growth without relying on synthetic chemicals. This study aims to examine the role of endophytic bacteria in organic farming systems through a combination of laboratory tests and field experiments. The research stages include isolation and identification of endophytic bacteria from plant tissues, testing the ability of the bacteria to support plant growth in vitro, and applying it to organic farmland to evaluate resistance to pests and crop yields. The independent variable in the study is the type of endophytic bacteria, while the dependent variables include plant growth rates, pest resistance, and crop productivity. Data analysis was performed using descriptive statistics and ANOVA, followed by post-hoc tests to determine the effectiveness of the treatments. The results showed that treatments with endophytic bacteria, both singular and combined, significantly improved vegetative growth, reduced pest attacks, and increased crop yields compared to the control. The combination of bacterial isolates proved to have a stronger synergistic effect than single treatments. These findings demonstrate the potential of endophytic bacteria as natural biofertilizers and biopesticides to support environmentally friendly organic farming.
Pemodelan Statistik Spasial dalam Prediksi Pola Sebaran Penyakit Tropis di Asia Tenggara Ernawati Ernawati; Musdalifa Musdalifa
Journal of New Trends in Sciences Vol. 2 No. 3 (2024): Agustus : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i3.753

Abstract

Tropical diseases remain a serious public health challenge in Southeast Asia, particularly malaria, which has high morbidity and mortality rates. The complexity of their spread is influenced by various factors, including climate, environment, and population, requiring a spatially-based analytical approach to understand their distribution patterns. This study aims to develop a regression-based spatial model to predict the spread of tropical diseases and identify hotspots in high-risk areas. The data used include tropical disease case reports from national health agencies, climate data (temperature, rainfall, humidity) from BMKG and WorldClim, and population data (density and mobility) from  BPS and other official sources. The analysis was conducted using a Geographic Information System GIS for spatial mapping, as well as the application of spatial regression models, namely the Spatial Lag Model SLM and Spatial Error Model SEM. The results show that the developed model is able to predict disease distribution with a high level of accuracy, demonstrated by statistical validation through AIC, and Morans I. One of the main findings is the identification of malaria hotspots with a confidence level of 93, as well as the mapping of tropical disease risk predictions covering the Southeast Asian region. These results have significant implications for public health policy, particularly in resource allocation, prevention program planning, and priority area-based interventions. Furthermore, this study recommends the integration of big data and machine learning technologies to enrich predictive models and develop more adaptive early warning systems. Thus, this research contributes to strengthening tropical disease control strategies in Southeast Asia with a comprehensive spatial data-driven approach.
Pemanfaatan Nanopartikel Berbasis Tumbuhan sebagai Agen Antibakteri Ramah Lingkungan Desi Reski Fajar; Dedy Ma'ruf
Journal of New Trends in Sciences Vol. 2 No. 2 (2024): Mei : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i2.755

Abstract

Antibiotic resistance has emerged as a significant global health challenge, prompting the exploration of alternative antimicrobial agents. This study focuses on the synthesis and antibacterial potential of plant-based nanoparticles, specifically silver nanoparticles AgNPs, synthesized using neem leaf extract Azadirachta indica. The research aims to assess the effectiveness of these green-synthesized nanoparticles against Escherichia coli E. coli), a common pathogen responsible for numerous infections, including those resistant to conventional antibiotics. The synthesis of AgNPs was performed using neem leaf extract as a reducing and stabilizing agent, following a green synthesis approach that is environmentally friendly and avoids harmful chemicals. The synthesized nanoparticles were characterized using UV-Vis spectroscopy, Transmission Electron Microscopy TEM, and X-ray Diffraction XRD, ensuring the particles’ size, shape, and crystalline structure were in the desired range. Antibacterial activity was assessed using the agar diffusion method, comparing the inhibition zones formed by the nanoparticles with those of traditional antibiotics. The findings revealed that the silver nanoparticles displayed significant antibacterial activity against E. coli, with inhibition zones comparable to conventional antibiotics, indicating their potential as an effective alternative in combating antibiotic-resistant bacteria. Moreover, these nanoparticles exhibited high stability and biocompatibility, making them a promising candidate for further biomedical applications. The results suggest that neem-based AgNPs could serve as an eco-friendly solution for addressing antibiotic resistance. Future research is recommended to explore the broad-spectrum activity of these nanoparticles against other bacterial pathogens and to assess their safety and efficacy in clinical settings.
Transformasi Limbah Pertanian menjadi Bioplastik melalui Teknologi Enzimatik Berbasis Lokal Rahma Winahyun Jannata; Hukmiyah Aspar
Journal of New Trends in Sciences Vol. 2 No. 2 (2024): Mei : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i2.756

Abstract

Agricultural waste is often underutilized, despite its significant potential as a raw material for environmentally friendly products. This study aims to develop bioplastics from corn waste by utilizing locally sourced enzymatic technology as the main catalyst in the biomass conversion process. Corn waste in the form of cobs and post-shelling residues was first prepared through drying, grinding, and mild chemical pretreatment to loosen the lignocellulosic structure. Subsequently, enzymatic hydrolysis was carried out using local enzymes derived from indigenous microorganisms, which decomposed cellulose and hemicellulose into monomeric sugars. The hydrolyzed sugars were then fermented into natural polymers, molded using the solution casting method, and dried to form bioplastic sheets. The results revealed that the produced bioplastics possessed mechanical properties comparable to commercial PLA, with tensile strength of 45–50 MPa, an elastic modulus of 2.5 GPa, and elongation at break of 5–7. Biodegradability testing showed that the material degraded up to ±85 within 90 days, exceeding the minimum threshold of 80% considered satisfactory. These findings confirm that corn waste can be transformed into competitive and eco-friendly bioplastics, while also highlighting the potential of locally based enzymatic technology for industrial-scale applications. The implications of this research extend not only to reducing waste and plastic pollution but also to strengthening the circular economy through the utilization of renewable agricultural resources.
Rekayasa Struktur Bangunan Tahan Gempa dengan Material Komposit Ramah Lingkungan Kiki Riskianti Nanda; Winda Dwi Puspita
Journal of New Trends in Sciences Vol. 2 No. 3 (2024): Agustus : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i3.757

Abstract

Indonesia is a country with a high level of earthquake vulnerability, thus demanding innovation in building structural engineering that is not only safe but also environmentally friendly. In the context of sustainable development, bamboo as an abundant local material is starting to gain attention as an alternative to conventional materials. Bamboo, when processed into composites in the form of fibers or in combination with thermoplastic and thermoset polymers, has been proven to have superior mechanical properties, including tensile strength, stiffness, and resistance to chemical degradation. In addition, the characteristics of water absorption that are controlled through certain treatments make bamboo composites more competitive compared to synthetic materials. The application of bamboo composites in construction is not only limited to new materials in structural elements, but also effective in retrofitting methods. For example, recent research shows the potential of bamboo composites in strengthening reinforced concrete beams and improving the performance of frame systems in earthquake-resistant structures. In line with this, seismic design regulations and standards such as the comparison between SNI 1726:2012 and SNI 1726:2019 demonstrate the importance of adapting structural designs to local seismic conditions. The integration of bamboo composite materials with structural capacity analysis, numerical simulation, and pushover analysis methods has yielded promising results for improving building resilience to dynamic loads. Beyond technical aspects, this approach also supports environmental objectives. Several studies have even developed eco-friendly home prototypes utilizing innovative material combinations, including geopolymer blocks and natural fibers. Thus, the use of bamboo composites not only provides a technical solution to earthquake challenges but also contributes to global efforts to reduce the carbon footprint of the construction sector.
Integrasi Teknologi Drone dan Sensor Termal untuk Pemantauan Hutan Tropis Hadriani Irwan; Ikrawanty Ayu Wulandari
Journal of New Trends in Sciences Vol. 2 No. 3 (2024): Agustus : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i3.759

Abstract

Tropical forest fires pose a serious threat to ecosystem sustainability, particularly in Kalimantan, which is prone to seasonal fires. Early detection is key to prevention efforts, but conventional and satellite-based monitoring methods often face limitations, particularly in identifying small-scale hotspots obscured by forest canopies. This study aims to test the effectiveness of integrating drone technology with thermal sensors in tropical forest monitoring as an early fire detection system. The research method uses a field study design with an experimental approach. Drone flights were conducted over tropical forest areas in Kalimantan, systematically capturing thermal imagery according to a predetermined flight path. Thermal image data were analyzed to identify hotspots, then compared with satellite hotspot data (MODIS and VIIRS). Field validation was also conducted through direct temperature measurements using a portable infrared thermometer. Data analysis involved comparing detection results, accuracy testing, and measuring system sensitivity with a confusion matrix. The results showed that drones with thermal sensors were able to detect more hotspots than satellites, with a higher level of accuracy compared to field validation results. For example, in several study areas, drones successfully identified small hotspots that were not detected by satellites. This confirms that drones with thermal sensors have high sensitivity and can be used as early detection tools for tropical forest fires. In conclusion, the integration of drone technology and thermal sensors has proven effective as a monitoring system that complements satellite-based methods. Further development using big data and machine learning, as well as cross-institutional collaboration, is needed for optimal implementation on a large scale.
Model Matematika Penyebaran Mikroplastik di Laut Tropis Indonesia Yani Pratiwi; Siti Saharah Abdullah
Journal of New Trends in Sciences Vol. 2 No. 2 (2024): Mei : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v2i2.760

Abstract

Microplastics have emerged as a serious threat to tropical marine ecosystems in Indonesia, particularly in coastal areas with dense populations, major river estuaries, and busy shipping routes. This study aims to develop a predictive model of microplastic dispersion using partial differential equations based on ocean current data. The data set includes ocean currents derived from satellite imagery, global oceanographic models, and field observations, combined with information on microplastic sources from coastal human activities. The modeling process was conducted through numerical simulations using the finite difference method, taking into account geographic boundary conditions and numerical stability. The results indicate that the spatial distribution of microplastics is strongly influenced by seasonal current patterns closely associated with the Asian-Australian monsoon system. Microplastic concentrations tend to increase in areas with closed circulation and complex marine topography, with the highest accumulation identified in the Makassar Strait and the Java Sea. These findings highlight the critical role of ocean currents and other oceanographic factors in governing the transport and accumulation of microplastics in tropical seas. Ecologically, the outcomes suggest serious risks for coastal ecosystems, marine biodiversity, and the fisheries sector that supports Indonesia’s coastal communities. The implications of this study emphasize the need for more comprehensive marine environmental management strategies, strengthened field monitoring, and the integration of scientific models into plastic pollution control policies.

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