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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 7 Documents
 1 
Search results for , issue "Vol. 1 No. 02 (2023): West Science Nature and Technology" : 7 Documents clear
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.
The Influence of Technology, Policy, and Environmental Awareness on Energy Efficiency and Conservation in Industrial Estates in Tangerang City Loso Judijanto; Khamaludin Khamaludin; Eko Sudarmanto; Erlin Dolphina
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.v1i02.490

Abstract

This research investigates the intricate interplay between environmental awareness, policy compliance, technology adoption, and energy efficiency and conservation within the dynamic landscape of the Tangerang City Industrial Estate. Leveraging a quantitative approach, the study surveyed 150 participants to analyze the relationships among these key variables. The results reveal significant and positive associations, indicating that organizations fostering environmental consciousness, adhering to energy-related policies, and embracing advanced technologies exhibit heightened levels of energy efficiency and conservation. The structural model's robust fit, assessed through various indices, underscores the reliability of the identified relationships. The findings offer valuable insights for policymakers, industry stakeholders, and researchers seeking to promote sustainability in industrial practices.
Effects of Climate Change on Environmental Health in the Jakarta Metropolitan Area I Alfiansyah; Erlin Dolphina; Aldiana Astuti; Murthada
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.v1i02.492

Abstract

This research investigates community perceptions of climate change and its implications for environmental health in the Jakarta Metropolitan Area (JMA) through a quantitative analysis of 150 participants. The study assesses awareness levels, attitudes, and adaptive measures, employing a regression analysis to identify factors influencing climate change awareness. Results reveal a generally high level of awareness, with specific concerns about air and water quality, vector-borne diseases, and perceived threats to overall well-being. The community actively engages in adaptive measures, expressing a desire for increased governmental involvement. The regression analysis highlights age, educational background, and socio-economic status as significant predictors of climate change awareness. These findings provide valuable insights for policymakers, emphasizing the importance of targeted educational campaigns, community engagement initiatives, and addressing awareness disparities to enhance climate resilience in urban settings.
Identifying Hail Events Using Weather Radar and Satellite Data (Study Case in East Java on 23 December 2021) Arif Krisna Widadi; Maulana Sunu Pratama
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.v1i02.501

Abstract

Hail is an extreme weather phenomenon that rarely occurs in tropical regions such as Indonesia. However, if convective clouds are strong enough to develop higher, a hail event is likely to occur. Interestingly, on 23 December 2021, hail events occurred in four different nearby locations. Weather Radar data from the Juanda Meteorological Station and Himawari-8 Satellite data were used to analyse this hail phenomenon. The Radar measured reflectivity values, cloud top height, water vapour content, and the derivative product of the probability of hail occurrence. The Himawari-8 data were utilised to observe cloud top temperatures. From the results, it is known that the reflectivity value of hail is in the range of 45 dBZ to 55 dBZ, with a probability of hail above 80%, and the temperature at the top of the Cumulonimbus cloud is between -67.5°C to -82.5°C. These thresholds may be used in monitoring hail events, especially in the East Java region.

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