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Natural Sciences Engineering and Technology Journal
Published by HM Publisher
ISSN : -     EISSN : 28072820     DOI : https://doi.org/10.37275/nasetjournal
Core Subject : Health, Science, Social, Engineering,
Aerospace Engineering Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Electrical & Electronics Engineering Energy Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Social Sciences Transportation
Natural Sciences Engineering and Technology Journal (NASET Journal) concern with publishing the original research articles, review articles from contributors, and the current issues related to engineering, technology, and natural sciences. The main objective of NASET Journal is to provide a platform for international scholars, academicians, and researchers. It also aimed to promote interdisciplinary technology studies in Informatic Engineering, Electronica Engineering, Civil Engineering, Informatic System, Computer System, Architecture, and Natural Sciences in the world.
Arjuna Subject : Umum - Umum
Articles 60 Documents
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Analgesic Activity Combination of Dry Extract of Meniran Leaves (Phyllanthus niruri L.) and Moringa Leaves (Moringa oleifera L.) Using the Chemical Induction Method: Invivo Study Dian Arsanti Palupi; Sugiarti, Lilis; Eni Yulianti
Natural Sciences Engineering and Technology Journal Vol. 4 No. 1 (2024): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v4i1.53

Abstract

Analgesics are drugs that selectively reduce pain in the central nervous system or peripheral pain mechanisms without significantly changing consciousness. This study aims to determine the analgesic activity of a combination of dry extracts of meniran leaves (Phyllanthus niruri l.) and moringa leaves (Moringa oleifera l.) against Swiss Webster rats with chemical induction methods. This research proves the presence of secondary metabolite content in the dry extract of meniran leaves and moringa leaves which have analgesic activity. The research used 30 male Swiss Webster rats divided into 5 groups. Group 1 is the negative control (CMC-Na 0.5%), group 2 is the positive control (diclofenac Na), group 3 (Dry extract of meniran leaves), group 4 (Dry extract of moringa leaves) and Group 5 (Combination of dry extracts). meniran and moringa leaves). Each was given 1 mL of 1% acetic acid induction chemical stimulation, then the writhing response was observed and recorded at 5-minute intervals for 30 minutes. The results showed that the K3 group combined dry extract of meniran leaves (Phyllanthus niruri L.) and moringa leaves (Moringa oleifera L) is not statistically significantly different from the positive control diclofenac sodium, p-value = 0.183. In conclusion, dry extract of meniran leaves (Phyllanthus niruri L.) and Moringa leaves (Moringa oleifera L.) has been proven to contain secondary metabolites of flavonoids, alkaloids, tannins, and saponins which have analgesic activity.
Quantifying the Impact of Industry 4.0 Technologies on Leather Processing Efficiency: A Meta-Analysis Ajie, Baskoro
Natural Sciences Engineering and Technology Journal Vol. 4 No. 2 (2024): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v4i2.54

Abstract

Industry 4.0, marked by the integration of digital technologies and automation, presents a transformative opportunity for the leather industry to enhance efficiency and productivity. This meta-analysis aims to quantitatively synthesize the existing evidence on the impact of Industry 4.0 technologies on leather processing efficiency. A systematic search was conducted across multiple databases, including Scopus, Web of Science, and Google Scholar, to identify relevant studies published between 2018 and 2024. Studies reporting quantitative data on the impact of Industry 4.0 technologies on leather processing efficiency were included. Effect sizes were extracted and pooled using random-effects models. The meta-analysis included 25 studies, encompassing a total of 1,250 leather processing facilities. The overall pooled effect size indicated a significant positive impact of Industry 4.0 technologies on leather processing efficiency (Hedges' g = 0.65, 95% CI: 0.48 to 0.82, p < 0.001). Subgroup analyses revealed that the impact varied across different technologies and stages of leather processing. Industry 4.0 technologies have a substantial positive impact on leather processing efficiency. The findings underscore the importance of embracing these technologies for leather manufacturers to remain competitive and meet the growing demand for sustainable and efficient production practices. Future research should explore the long-term impact of these technologies and their potential for further optimization.
Evaluation of the Moisturizing Efficacy and Stability of an Essence Sheet Mask Formulated with Red Dragon Fruit (Hylocereus polyrhizus) Peel Extract Al Mu’izzah, Nurul; Desy Nawangsari; Adita Silvia Fitriana
Natural Sciences Engineering and Technology Journal Vol. 4 No. 2 (2024): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v4i2.55

Abstract

The pursuit of effective and natural skincare solutions has led to the exploration of plant-based ingredients. Red dragon fruit (Hylocereus polyrhizus) peel, rich in flavonoids and antioxidants, presents a promising avenue for developing moisturizing skincare products. This study aimed to evaluate the moisturizing efficacy and stability of an essence sheet mask formulated with red dragon fruit peel extract. Red dragon fruit peel extract was obtained using ethanol extraction. Essence sheet masks were formulated with varying concentrations of the extract (0%, 3%, 5%, and 7%). The physical properties (organoleptic characteristics, pH, viscosity, and homogeneity), stability (cycling test), skin irritation potential (patch test), and moisturizing efficacy (corneometer measurements) of the sheet masks were assessed. The hedonic attributes of the masks were also evaluated through a consumer perception study. The formulated essence sheet masks exhibited desirable physical properties and were stable under accelerated storage conditions. No skin irritation was observed in the patch test. The sheet masks containing red dragon fruit peel extract demonstrated a significant increase in skin hydration compared to the control group. The consumer perception study indicated high acceptance of the masks, particularly those with higher extract concentrations. The findings suggest that red dragon fruit peel extract can be effectively incorporated into essence sheet masks to enhance skin hydration. The developed sheet masks were well-tolerated and exhibited good stability, making them promising candidates for natural moisturizing skincare products.
CFD (Computational Fluid Dynamics) Simulation of Hydrodynamic Vortex Turbine Performance: Influence of Notch Angle Variation on Flow Patterns and Efficiency Sukadana, I Gusti Ketut; Made Suarda; I Putu Widiarta; Ishak Danus
Natural Sciences Engineering and Technology Journal Vol. 4 No. 2 (2024): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v4i2.56

Abstract

Hydrodynamic vortex turbines (HVTs) offer a promising solution for harnessing renewable energy from low-head water sources. The inlet notch angle, a critical geometric parameter, significantly influences the flow patterns within the turbine basin and, consequently, its overall performance. This study investigates the impact of notch angle variation on HVT efficiency and flow characteristics using computational fluid dynamics (CFD) simulations. A 3D model of an HVT was developed and simulated using ANSYS Fluent. The notch angle was varied between 7° and 15° in 2° increments. The k-ω SST turbulence model was employed to capture the complex flow behavior. Velocity and pressure contours were analyzed to understand the flow patterns, while turbine performance metrics, including torque, power output, and efficiency, were computed. The results revealed a strong correlation between notch angle and turbine performance. Increasing the notch angle led to higher flow velocities in the turbine basin, resulting in enhanced vortex formation and increased energy extraction. Consequently, both power output and efficiency improved with larger notch angles. The optimal notch angle, balancing efficiency and practical considerations, was identified. This study demonstrates the critical role of notch angle in HVT design. CFD simulations provide valuable insights into the flow dynamics and performance optimization of these turbines. The findings contribute to the advancement of HVT technology for sustainable micro-hydro power generation.
Formulation and Physicochemical Evaluation of Spray Gel Containing Cordyline fruticosa L. Leaf Extract for Topical Delivery Alfina Nurrahman; Annora Rizky Amalia; Andany Oktamia Ningtyas Hartoyo
Natural Sciences Engineering and Technology Journal Vol. 4 No. 2 (2024): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v4i2.57

Abstract

Spray gel is a gel system applied through a spray pump, producing small or large liquid droplets. Cordyline fruticosa (L.) A. Cheval, commonly known as Andong Merah, is a plant with various medicinal properties, including wound healing activity attributed to its flavonoid content. This research aimed to formulate and evaluate the physicochemical properties of a spray gel containing Cordyline fruticosa leaf extract for topical delivery, focusing on the effects of different concentrations of Carbopol 940 as a gelling agent and sorbitol as a humectant. Cordyline fruticosa leaf extract was obtained by maceration using 96% ethanol. Three spray gel formulations were prepared, varying the concentrations of Carbopol 940 (0.4 g, 0.6 g, and 0.8 g) and sorbitol (5 ml, 7.5 ml, and 10 ml). The prepared spray gels were then subjected to physicochemical evaluation, including organoleptic tests (color, odor, and consistency), homogeneity tests, pH measurements, viscosity measurements, spray pattern analysis, and adhesion tests. All spray gel formulations exhibited acceptable physicochemical properties. The formulations were homogeneous, with a pH within the acceptable range for topical applications. The viscosity and adhesion properties varied with the concentrations of Carbopol 940 and sorbitol. The spray pattern analysis revealed a circular spread pattern, with the pressure required for spraying influenced by the viscosity of the formulation. The spray gel formulations containing Cordyline fruticosa leaf extract demonstrated good physicochemical qualities, indicating their potential suitability for topical delivery. Further studies are recommended to optimize the formulation for enhanced stability and therapeutic efficacy.
Effectiveness of Telemedicine and Remote Monitoring in Reducing Postpartum Hemorrhage Rates: A Meta-Analysis Dina Anggraini; Dwie Yunita Baska; Kintan Anissa
Natural Sciences Engineering and Technology Journal Vol. 4 No. 2 (2024): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v4i2.58

Abstract

Postpartum hemorrhage (PPH) is a leading cause of maternal morbidity and mortality worldwide, particularly in low- and middle-income countries (LMICs) with limited access to healthcare. Telemedicine and remote monitoring technologies offer potential solutions for early detection and management of PPH. This meta-analysis aimed to evaluate the effectiveness of these technologies in reducing PPH rates. A systematic search of PubMed, Embase, Cochrane Library, and Web of Science was conducted for studies published between 2013 and 2024 investigating the impact of telemedicine and remote monitoring interventions on PPH rates. Randomized controlled trials (RCTs) and observational studies with a control group were included. The primary outcome was the incidence of PPH (blood loss ≥500 ml after vaginal delivery or ≥1000 ml after cesarean delivery). Pooled risk ratios (RR) with 95% confidence intervals (CI) were calculated using a random-effects model. Publication bias was assessed using funnel plot asymmetry and Egger's test. Six studies involving 4200 women met the inclusion criteria. The pooled analysis demonstrated a statistically significant reduction in PPH rates in the intervention groups compared to the control groups (RR 0.56; 95% CI 0.47-0.67; p<0.00001). The funnel plot was symmetrical, and Egger's test was not statistically significant (p=0.45), suggesting no evidence of publication bias. Telemedicine and remote monitoring interventions are associated with a significant reduction in PPH rates. These findings support the integration of these technologies into postpartum care to improve maternal outcomes, particularly in resource-constrained settings.
Traditional vs. Tech-Driven: A Comparative Analysis of Service Delivery Models in Line Agencies across Urban and Rural Sulu, Philippines Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram
Natural Sciences Engineering and Technology Journal Vol. 5 No. 1 (2025): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v5i1.59

Abstract

This study investigated the impact of technology on public service delivery in Sulu, Philippines, by comparing traditional and tech-driven models in line agencies across urban and rural settings. The research aimed to identify the benefits, challenges, and factors influencing the adoption and effectiveness of technology in enhancing citizen access, satisfaction, and efficiency. A mixed-methods approach was employed, combining quantitative surveys of citizens (n=300) and government employees (n=150) with qualitative interviews of key stakeholders (n=20) in both urban and rural line agencies. Data analysis included descriptive statistics, comparative analysis, and thematic analysis of interview transcripts. Simulated data was generated based on existing literature and reports to supplement primary data collection where access was limited. Tech-driven service delivery models in urban areas led to increased citizen access, reduced processing times, and improved transparency. However, challenges persisted in rural areas due to limited infrastructure, digital literacy gaps, and cultural preferences for traditional approaches. Factors influencing successful technology adoption included leadership commitment, staff training, community engagement, and ongoing technical support. In conclusion, this study highlights the transformative potential of technology in public service delivery in Sulu while emphasizing the need for context-specific strategies to address the unique challenges in rural communities. Recommendations include targeted investments in infrastructure, digital literacy programs, and culturally sensitive technology integration to ensure equitable access and maximize the benefits of tech-driven service delivery across Sulu.
Predictive Modeling in Cardiovascular Disease: An Investigation of Random Forests Mudzramer A. Hayudini; Datu Ansaruddin K. Kiram; Mharcelyn M. Kiram; Abdulkamal H. Abduljalil; Nureeza J. Latorre; Fahra B. Sahibad
Natural Sciences Engineering and Technology Journal Vol. 5 No. 1 (2025): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v5i1.60

Abstract

Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Early detection and intervention are crucial for improving patient outcomes. Machine learning (ML) offers promising tools for CVD prediction, with random forests (RF) emerging as a robust and versatile algorithm. This study investigates the application of RF in predicting blood pressure categories, a crucial indicator of cardiovascular health, using a comprehensive dataset of patient metrics. This study investigated the application of RF in predicting blood pressure categories, a crucial indicator of cardiovascular health. A meticulously curated dataset from Kaggle, comprising 68,205 records and 17 features, was utilized. Key features such as weight, systolic and diastolic blood pressure (ap_hi, ap_lo), cholesterol, glucose, smoking, alcohol consumption, physical activity, and age were selected for predictive modeling. The RF model was trained and tested using a stratified split, and its performance was evaluated using accuracy, precision, recall, F1-score, and confusion matrix. The RF model demonstrated exceptional accuracy in predicting blood pressure categories, achieving an accuracy score of 0.9999. The model also exhibited perfect precision and recall across all categories, indicating its ability to effectively capture complex relationships within the data and make reliable predictions. In conclusion, the findings validate the efficacy of RF as a powerful tool for CVD prediction. Its ability to handle complex interactions and provide accurate predictions underscores its potential to aid healthcare professionals in early diagnosis and personalized intervention strategies. Further research can explore the application of RF in predicting other CVD risk factors and outcomes.
Public Health Threat: Detection of Undeclared Dexamethasone and Paracetamol in Jamu Marketed in Kudus, Indonesia Luthfiana Nurulin Nafi’ah; Kadar Ismah; Yanulia Handayani; Gendis Purno Yudanti; Sukarno; Annis Rahmawaty; Alvina Beti Maulia
Natural Sciences Engineering and Technology Journal Vol. 5 No. 1 (2025): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v5i1.61

Abstract

Jamu, Indonesia's traditional herbal medicine, holds significant cultural and medicinal value. However, the adulteration of jamu with undeclared synthetic drugs like dexamethasone and paracetamol poses a severe public health risk. This study aimed to qualitatively identify these drugs in jamu products circulating in Kudus City, Indonesia. Ten jamu samples, representing various brands and forms (powder, capsules), were purchased from local depots in Kudus. Samples were selected based on their indication for pain relief or anti-inflammatory properties, lack of BPOM (Indonesia's Food and Drug Authority) registration, or discrepancies between the registration number on the packaging and the BPOM database. Organoleptic analysis (odor, taste, color, form) was performed, followed by microscopic analysis to identify natural ingredients using their characteristic fragments. Finally, infrared spectroscopy was employed to detect the presence of dexamethasone and paracetamol. Nine out of ten samples displayed BPOM registration numbers that were not verifiable in the official BPOM database, while one sample lacked any registration number. Organoleptic analysis revealed that six samples exhibited distinct herbal odors, often associated with bitter-tasting jamu. Microscopic analysis confirmed the presence of 1-4 natural ingredients in each sample. Notably, infrared spectroscopy identified paracetamol in one sample. In conclusion, the study revealed a concerning trend of unregistered jamu products and adulteration with undeclared paracetamol in Kudus City. This highlights the need for stricter regulatory measures, enhanced surveillance, and public awareness campaigns to ensure the safety and efficacy of jamu.
Access Control Mechanisms and Their Role in Preventing Unauthorized Data Access: A Comparative Analysis of RBAC, MFA, and Strong Passwords Edrian S. Abduhari; Tadzher C. Shaik; Alsimar B. Adidul; Jimrashier H. Ladja; Ersin S. Saliddin; Akshay J. Adin; Fradzkhan A. Rumbahali; Alnadzri B. Sali; Jumadam M. Jemser; Shernahar K. Tahil
Natural Sciences Engineering and Technology Journal Vol. 5 No. 1 (2025): Natural Sciences Engineering and Technology Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/nasetjournal.v5i1.62

Abstract

In today's digital landscape, the protection of sensitive data from unauthorized access is a critical concern for organizations of all sizes. Robust access control mechanisms are essential for maintaining data security and preventing breaches. This study conducted a comparative analysis of three widely used access control methods: Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and Strong Passwords. The research employed a mixed-methods approach, combining a quantitative analysis of simulated data with a qualitative review of recent literature. The Access Control Simulation Environment (ACSE) was developed to generate data on the effectiveness of each access control method in preventing unauthorized access attempts. The qualitative component involved a systematic review of Scopus-indexed publications from 2018 to 2024, focusing on the strengths, weaknesses, and best practices associated with each method. The simulation data revealed that MFA provided the highest level of protection against unauthorized access, followed by RBAC and then Strong Passwords. The qualitative analysis identified key strengths and weaknesses of each method, highlighting the importance of contextual factors in selecting the most appropriate access control mechanism. In conclusion, the findings underscore the need for a layered approach to access control, combining multiple methods to achieve optimal security. While MFA offers the strongest protection, RBAC and Strong Passwords remain crucial components of a comprehensive security strategy. The study provides practical recommendations for organizations seeking to implement and optimize access control mechanisms to mitigate the risk of unauthorized data access.

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