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West Science Nature and Technology
Published by Westscience Press
ISSN : 30266599     EISSN : 30261430     DOI : https://doi.org/10.58812/wsnt.v1i02
Core Subject : Science,
Energy
The scope of the journal Nature and Technology covers a wide range of topics that combine aspects of nature and technology. The journal aims to provide a platform for research and thought on how technology can be used to understand, protect, and interact positively with nature. Its scope includes, but is not limited to: Environmental Monitoring Conservation and Preservation Renewable Energy Biomimicry Biodiversity and Biotechnology Sustainable Agriculture Natural Resources Management Environmental Health Education and Environmental Awareness Human and Natural Well-being Ecosystem and Technology Alignment Eco-Friendly Product Design
Arjuna Subject : Energi (semua kategori) - Energi Terbarukan, Keberlanjutan dan Lingkungan
Articles 69 Documents
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Food Processing Technology Innovation to Improve Food Quality, Safety and Availability Khamaludin Khamaludin
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.223

Abstract

This research explores the role of food processing technology innovation in addressing critical challenges related to food quality, safety, and availability in West Java Province, Indonesia. The study employs a mixed-methods approach, combining surveys, interviews, laboratory analysis, and case studies to comprehensively examine the current state of food processing practices, evaluate innovative technologies, assess their impact, and provide recommendations for improvement. The findings reveal the persistence of traditional processing practices, infrastructure challenges, and a digital divide between urban and rural areas. However, promising innovations in advanced machinery, preservation techniques, biotechnology, food safety technologies, and sustainability initiatives are emerging. These innovations enhance food quality, safety, and availability. Recommendations include promoting technology access, infrastructure development, knowledge transfer, and policy support. By addressing these challenges and embracing technology-driven solutions, West Java Province can transition toward a more efficient, safe, and sustainable food processing sector, benefiting both the industry and consumers.
Innovative Strategies for Restoration of Degraded Ecosystems: A Case Study of Abandoned Agricultural Land and Abandoned Mining Land Recovery in West Java Province Muhammad Adam Suni; Busranuddin Daeng Masserang; Agung Dwi Kurniawan; Mohamad Fahrul Himalaya Umar; Yohanis Toding
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.224

Abstract

Ecosystem degradation and land abandonment are pressing global environmental challenges, with significant ecological, social, and economic consequences. In the context of West Java Province, Indonesia, the degradation of abandoned agricultural and mining lands has been a particularly pronounced issue. This study explored innovative strategies for the restoration of these degraded ecosystems, focusing on the recovery of abandoned agricultural and mining lands in West Java. The research employed a mixed-methods approach, combining quantitative and qualitative data collection methods. Key findings revealed a range of innovative strategies, including natural regeneration, agroforestry, phytoremediation, and soil improvement techniques, being used to restore abandoned lands. Challenges such as slow ecological recovery, community conflicts, and technical hurdles were also identified. Despite these challenges, the restoration efforts have yielded positive ecological, social, and economic outcomes, including increased biodiversity, improved soil quality, enhanced community livelihoods, and economic benefits. This study provides valuable insights into the complex process of ecosystem restoration in West Java Province and offers recommendations for policymakers, landowners, and conservation practitioners. The findings underscore the importance of community engagement, sustainable land management practices, and ongoing monitoring and research to support the long-term success of ecosystem restoration initiatives.
Implementation of Internet of Things (IoT) Technology in Air Pollution Monitoring in Jakarta: Quantitative Analysis of the Influence of Air Quality Change and Its Impact on Public Health in Jakarta Arief Budi Pratomo; Hanifah Nurul Muthmainah; Natal Kristiono; Gogor Christmass Setyawan
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.225

Abstract

Air pollution is a pressing global issue, particularly in urban areas where rapid industrialization and urbanization have led to deteriorating air quality. Jakarta, as one of the world's most populous megacities, faces significant challenges in managing air pollution and safeguarding public health. This research paper explores the implementation of Internet of Things (IoT) technology for air pollution monitoring in Jakarta and quantitatively assesses the influence of air quality changes on public health outcomes. The study involves the deployment of IoT sensors to collect real-time data on key air pollutants, including particulate matter (PM2.5, PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and ozone (O3). Statistical analyses, including regression and correlation analyses, reveal strong associations between air quality variables and health indicators. Findings indicate that elevated levels of PM2.5 and NO2 are linked to increased hospital admissions for respiratory diseases, and CO levels are associated with hypertension and cardiovascular diseases. The study also explores public perception through surveys and questionnaires, highlighting a high level of awareness and support for government initiatives to improve air quality. The results emphasize the need for informed policy decisions, including stricter emission standards and public awareness campaigns, to combat air pollution and protect public health in Jakarta.
Effect of Lactic Acid Bacteria Concentration on Modification of Banana Humble Flour by Fermentation Sito Luthfi Gunawan; Hamid Hamid
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.231

Abstract

Banana weevil is a waste that has not been used much, however banana weevil has content lots of nutrition. So that need effort for utilise the banana weevil so that it can beneficial for society. This study used lactic acid bacteria fermentation method which aims to analyze the characteristics of modified banana weevil flour. Then thinly sliced banana weevil soaked for 2 hours inside sodium metabisulfite solution then soaked again use finished solution mixed with bacteria sour lactate with concentration 0;0,02;0,025;0,03 ml/L. After that hump dried and ground for become flour and tested characteristics. The results showed that the swelling power test level was highest at a concentration of 0.03 ml/L, which was 13.39 grams, the % solubility test was highest at a concentration of 0.03 ml/L with a value of 0.12%, the results of the viscosity test after being modified had the same value, namely of 1.4 mPa.s, for the results of reducing sugar content after being modified it decreased and a result of 4% was obtained.
Multidisciplinary Research Mapping in Automation and Artificial Intelligence: A Bibliometric Analysis to Identify Science Convergence Nanny Mayasari; Hanifah Nurul Muthmainah; Natal Kristiono
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.234

Abstract

The field of Automation and Artificial Intelligence (AI) has witnessed rapid evolution, marked by interdisciplinary collaborations and groundbreaking advancements. This bibliometric analysis delves into the multidisciplinary research landscape within Automation and AI, aiming to identify science convergence and key trends. Utilizing a comprehensive dataset, we employed co-authorship analysis, citation analysis, keyword analysis, temporal analysis, and VOSviewer visualizations to map the dynamic landscape of Automation and AI research. Our analysis revealed extensive interdisciplinary collaboration among researchers from diverse domains, highlighting the role of cross-disciplinary innovation in advancing the field. Influential authors and highly cited papers were identified, emphasizing the impact of key contributions. Dominant research themes, such as machine learning, ethics in AI, and AI applications in healthcare, emerged from keyword analysis, reflecting the field's evolving priorities. VOSviewer visualizations provided clear representations of science convergence, showcasing the interconnectedness of disciplines like computer science, engineering, ethics, and economics. Interdisciplinary hubs and bridges were identified, underscoring the importance of cross-disciplinary research in shaping the future of Automation and AI. The findings of this analysis offer valuable insights for researchers, policymakers, and practitioners, providing a foundation for enhanced collaboration, ethical considerations, innovation in healthcare, and tailored education and training programs to meet evolving demands.
Exploring the Dynamics of Ecosystem Balance Research: A Bibliometric Analysis to Uncover Research Focus and Disciplinary Contributions Dito Anurogo; Erwina Kartika Devi; Sarwono Sarwono; Lia Nurina
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.235

Abstract

Ecosystem balance is a central concept in ecological research, with far-reaching implications for understanding and managing our natural world. This study employs bibliometric analysis to explore the dynamics of ecosystem balance research, uncover emerging trends, and identify the disciplinary contributions that shape this critical field. Leveraging an extensive dataset of scholarly publications, we examine the temporal evolution of research, geographic distribution, co-authorship networks, citation patterns, keyword co-occurrence, and disciplinary mapping. Our findings reveal a robust and multidisciplinary landscape, characterized by increasing global interest, collaborative research clusters, and influential publications. Key themes include carbon balance, ecosystem services, ecological equilibrium, and the interplay between human development and natural systems. This study provides valuable insights into the evolving ecosystem balance research domain, guiding future investigations and fostering interdisciplinary collaboration to address pressing environmental challenges.
Reliability, Maintainability and Availability Analysis of Solar Power Plant in Pantai Baru using Voltage Measurement Data Patricia Fitrianingtyas; Muhammad Khamim Asy’ari; Neny Elyawati
West Science Nature and Technology Vol. 1 No. 02 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i02.439

Abstract

The hybrid power plant in Pantai Baru, Yogyakarta stands as a noteworthy exemplar within the realm of existing solar power installations throughout Indonesia. Analysis of reliability, maintenance, and availability is needed to minimize problems at solar power plant’s electrical energy production process, so that renewable energy security and sustainability can be maintained. This study aims to determine the reliability, maintainability, and availability of solar panels with a capacity of 48 Volts at the hybrid power plant, Pantai Baru using the control chart method, Weibull distribution. Calculation of reliability, maintainability, and availability of solar panels is carried out using solar panel output voltage measurement data collected over the last 4 years. Time to failure, TTF and time to repair, TTR were obtained from out-of-scope data on the control chart and processed using software, namely Reliasoft Weibull ++ Version 6. The simulation results and calculations show that the distribution obtained from TTF and TTR is a three-parameter Weibull distribution, with a system reliability value of 0.3, maintainability value is 1 and availability value is 0.997 in day 5th. The reliability of each solar panel unit is 0.122 or 12.2%.
Performance Analysis of Distributed Database Management System for IoT in the Context of Smart Agriculture in Indonesia Loso Judijanto
West Science Nature and Technology Vol. 1 No. 02 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i02.487

Abstract

The integration of Distributed Database Management Systems (DDBMS) for Internet of Things (IoT) applications in smart agriculture presents a transformative paradigm in the dynamic landscape of Indonesian agriculture. This qualitative research investigates the challenges and opportunities associated with this integration, drawing insights from interviews with diverse stakeholders, including farmers, technology developers, and policymakers. The technical challenges encompass data synchronization, network latency, and security considerations, emphasizing the need for standardized protocols and robust security measures. Infrastructure challenges, such as connectivity issues and power supply dependency, underscore the importance of rural infrastructure development. User acceptance challenges highlight resistance to change and the perceived complexity of DDBMS, emphasizing the significance of targeted awareness and training programs. Despite these challenges, stakeholders recognize the advantages of scalability, enhanced data availability, and improved decision-making capabilities offered by DDBMS. The study proposes recommendations, including technological solutions, policy interventions, and capacity-building initiatives, to address identified challenges and promote the effective utilization of DDBMS in Indonesian smart agriculture. This research contributes context-specific insights to the global discourse on IoT and DDBMS in agriculture.
Implementation of Digitalization of City Infrastructure for Improved Sustainability: Case Study on Smart City Project in Surabaya, Indonesia Loso Judijanto; Moh. Erkamim; Erlin Dolphina; I Wayan Karang Utama
West Science Nature and Technology Vol. 1 No. 02 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i02.488

Abstract

The application of digitalization in urban contexts, particularly through Smart City initiatives, has become an important avenue to address the complexities of modern urban life. This study focuses on the Smart City Project in Surabaya, Indonesia, aiming to quantitatively analyze the impact of digitalization on sustainability indicators from a community perspective. A quantitative approach, including a survey of 190 residents and regression analysis, was used to comprehensively explore the relationship between demographic factors, perceptions of digital infrastructure and sustainability outcomes. The results showed statistically significant improvements in sustainability indicators, with waste reduction behavior and community satisfaction being particularly important. Regression analysis shows that age, income, and digital literacy significantly influence sustainability outcomes. These findings contribute to the growing body of knowledge on Smart Cities initiatives, offering insights for policymakers, urban planners, and community leaders to increase the effectiveness of digitalization in fostering sustainable urban environments.
Analysis of Weather Prediction, Resource Management, and Land Optimization on the Application of Big Data Analytics in Agricultural Land Utilization in Agrarian Areas of West Java Loso Judijanto
West Science Nature and Technology Vol. 1 No. 02 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i02.489

Abstract

This research investigates the impact of Weather Prediction, Resource Management, and Land Optimization on the adoption of Big Data Analytics in agricultural land utilization within the agrarian region of West Java. Employing a quantitative approach, the study integrates measurement model analysis, structural equation modeling, demographic profiling, and model fit assessment to comprehensively explore the intricate dynamics of technological adoption in agriculture. Results indicate that Land Optimization, Resource Management, and Weather Prediction significantly influence the adoption of Big Data Analytics. Demographic factors such as gender, age, education, and farming experience demonstrate varying correlations with key variables. The model exhibits strong fit, and approximately 60.2% of the variance in Big Data Analytics adoption is explained by the combined influence of the identified factors. This study contributes nuanced insights to inform policy and practice for sustainable and technology-driven agriculture in West Java.

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