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West Science Interdisciplinary Studies
Published by Westscience Press
ISSN : 29871042     EISSN : 29858895     DOI : https://doi.org/10.58812/wsis.v1i07.121
Core Subject : Economy, Social,
Economics, Econometrics & Finance Environmental Science
Journal that publishes multidisciplinary research articles, which include: Humanities and social sciences, Business Economics, Cooperatives & Banking, Sharia Economics, Development Economics, HR Development, Taxation and Commercial Insurance, Communication, Technique, Informatics, Information Systems, Public Health and Healthcare, Electrical Engineering, Agriculture, Law, Marketing. This journal is published by West Science Press.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 1,031 Documents
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The Role of Environmental and Socioeconomic Factors in Mental Health Well-being: Insight from Jordan El-Shaer, Ammin Abu; Harbi, Ali Suleiman; Al-Harazneh, Raghad Waleed
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1285

Abstract

Background and aims: Depression, anxiety, and stress are among the most common psychological disorders affecting people worldwide. These conditions can influence mental well-being, resulting in sustained feelings of sadness, worry, and hopelessness. This study aims to examine the relationship between environmental factors and psychological disorders (i.e., depression, anxiety, and stress) and to explore the relationship between socioeconomic factors and these psychological disorders, methods: Depression, anxiety, and stress were measured using the Arabic version of Depression, Anxiety, and Stress Scale - 21 items (DASS-21). Spearman's Rank Correlation was used to examine the relationship between environmental and socioeconomic factors and (anxiety, depression, and stress). The results were considered significant at P value ˂ 0.05, and the confidence interval (CI) was 95%. Results: The study included 409 participants. with a mean age of 36.42 years (SD ± 13.259). The majority were female (59.4%), married (57.2%), had a bachelor’s degree (46.5%), and were employed full-time (51.3%). The majority had an income of less than 500 JOD per month (53.5%). A negative significant relationship was found between Depression, anxiety, and stress and all environmental and socioeconomic factors except the proximity of green areas Conclusion: Environmental and socioeconomic factors were found to be significantly associated with mental health, indicating that both environmental and personal financial safety play crucial roles in influencing psychological well-being. These findings suggest that interventions aimed at improving access to natural environments and enhancing home security may be beneficial in promoting mental health and reducing depression, anxiety, and stress levels within the population.
IoT Based Poultry Cage Quality Monitoring System Soelistianto, Farida Arinie; Indrianto, Argo; Anshori, Abdullah; Rizza, Nur
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1287

Abstract

This research aims to create a better cage quality monitoring system in poultry farms, the parameters observed in particular are ammonia gas, where this gas greatly affects the health and productivity of laying hens, the data taken is processed in percentage terms and a comparison of several conditions in the location where the equipment is placed. The system is made using ESP32 microcontroller as the main board, DHT22 as a temperature and humidity sensor, MQ135 as a sensor to detect ammonia gas levels, GY302/BH1750 as a light sensor, light sensor or light meter sensor is used to optimize the circadian cycle of laying hens, the monitor system uses data sent by the main board to the database and taken as output by the mobile application. At the implementation stage, the system is able to function properly where the monitor system can send and receive data with the database as an intermediary between hardware and software. The DHT22 sensor can detect temperature and humidity changes with minimal error, the error rate obtained for DHT22 sensor reaches 2.26%, the MQ135 sensor can detect ammonia gas levels according to set program, the GY302/BH1750 sensor can detect changes in light with quite optimal accuracy, all sensor activities can be monitored through the software that has been created, when the system is used for a long period of time periodically the main board will stop sending data to the database, This can last 30 to 40 minutes, with a reboot solution.
Analyzing the Intersection of Labor Market Dynamics and Economic Growth: A Bibliometric Study Judijanto, Loso; Supriyanto, Supriyanto; Supriandi, Supriandi
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1288

Abstract

This study conducts a bibliometric analysis to examine the intersection of labor market dynamics and economic growth, focusing on key themes, trends, and emerging areas of research. Using VOSviewer, we analyze 980 publications from 1959 to 2024, identifying central themes such as "labour market," "human capital," and "economic development," which play critical roles in shaping the relationship between workforce dynamics and economic growth. The findings highlight how technological advancements, globalization, and demographic shifts have influenced labor market structures, wage dynamics, and industry-specific developments over time. Emerging topics, such as the relationship between labor markets and energy consumption, point to the growing importance of sustainability in economic discussions. The results provide valuable insights into the evolution of labor market studies and offer directions for future research, particularly in the context of green energy transitions and workforce adaptability in an age of rapid technological change. This analysis contributes to a more comprehensive understanding of the complex interactions between labor market behavior and economic performance.
A Bibliometric Review of Creative Economy Entrepreneurship: Implications for Community Empowerment Strategies Judijanto, Loso; Puspa, Leonora; Thalib, Najdah
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1289

Abstract

This study presents a bibliometric review of creative economy entrepreneurship, focusing on its implications for community empowerment strategies. Using data from Google Scholar and Scopus, the analysis covers publications from 1997 to 2024. The VOSviewer software was used to conduct co-citation, keyword co-occurrence, and network mapping analyses to identify key research trends, influential authors, and emerging topics. Results show that "creative industry" is central to discussions, with frequent connections to themes like "local wisdom," "business development," and "digital transformation." The study highlights the growing importance of digital tools and sustainability in creative entrepreneurship, particularly in empowering marginalized communities. The analysis also reveals distinct author collaboration clusters, pointing to limited interdisciplinary interactions that could benefit from further exploration. Overall, the findings suggest that while creative economy entrepreneurship is a promising tool for community empowerment, more research is needed on digital inclusion, sustainability, and cross-disciplinary collaboration. This review contributes to the understanding of how creative industries can drive both economic growth and social empowerment.
Implementation of An Application-Based Motor Vehicle Exhaust Emission Level Detection System Junus, Mochammad; Rozaq, Naufal Abdir; Saptono, Rachmad
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1291

Abstract

Currently, air conditions on earth are getting worse over time due to the impact of air pollution. One example of air pollution is motor vehicle exhaust emissions. Exhaust gas emissions are the result of combustion residue in motor vehicle engines that use fuel. Motor vehicle exhaust emissions contain carbon monoxide (CO), hydrocarbons (HC), carbon dioxide gas (CO2) which have a negative impact on the environment and living creatures. This research will create a motor vehicle exhaust emission detection device. In this design, an Arduino microcontroller was used and the manufacture of this tool used an MQ-7 gas sensor to detect carbon monoxide (CO) gas, an MQ-2 sensor to detect hydrocarbon gas (HC), and an MQ-135 to detect carbon dioxide (CO2) gas. The emission test results will be sent to the application, this data includes plate number, vehicle type, vehicle brand, vehicle year and emission test results. The results of the carbon monoxide (CO) gas sensor calibration test taken from 5 data showed an error of 5.51%. The results of the hydrocarbon (HC) gas sensor calibration test taken from 5 data showed an error of 4.23%. The results of the carbon dioxide (CO2) gas sensor calibration test taken from 5 data showed an error of 1.06%. In the implementation of the tool and application, the test results were obtained for 15 vehicles. Where the highest hydrocarbon (HC) gas content value was 412 ppm, the highest carbon monoxide (CO) gas content value was 1.48%, and the highest carbon dioxide (CO2) gas content value was 21.4%.
Bibliometric Analysis of the Effectiveness of Waste Management and Recycling Programs in the Textile Industry Judijanto, Loso; Yamtana, Yamtana; Koesmawan, Koesmawan
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1294

Abstract

This bibliometric study provides a comprehensive analysis of the evolution and current trends in waste management and recycling within the textile industry, spanning from 1970 to 2024. Utilizing VOSviewer for keyword co-occurrence analysis, the research highlights a significant shift from basic waste management to advanced, sustainable practices integrated into textile production. The study reveals an increased focus on technologies such as wastewater treatment and recycling innovations, reflecting the industry's response to global sustainability demands. The findings illustrate the interdisciplinary nature of textile waste management research and underscore the importance of technological advancements in promoting environmental sustainability. However, the study also identifies ongoing challenges, including regional disparities in waste management effectiveness and the need for global standards. The study emphasizes the necessity for future research to address these challenges, proposing a continued focus on innovative, adaptable recycling technologies and comprehensive waste management strategies that can be implemented globally.
Research Mapping of Fisheries Resource Management in Coastal Areas: A Bibliometric Analysis Nofirman, Nofirman; Arini, Rani Eka; Muhtadi, Muhamad Ammar
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1297

Abstract

This study conducts a comprehensive bibliometric analysis of the literature on government budget efficiency. This bibliometric analysis explores the evolution and integration of themes within fisheries management research from 1959 to 2024. Utilizing VOSviewer for keyword co-occurrence and network visualization, the study identifies dominant themes such as "fishery management system," "conservation," and "sustainability," along with their interconnections and shifts over time. The analysis highlights a multidisciplinary approach, integrating ecological, economic, and technological aspects to address the challenges of sustainable fisheries management. The prominence of terms related to management strategies and environmental conservation reflects a global commitment to sustainable practices. Collaborative patterns among leading researchers and the evolution of research themes underscore the dynamic nature of this field, emphasizing adaptive management strategies that are informed by both socio-economic and ecological dynamics. The findings suggest that the ongoing integration of advanced technologies and interdisciplinary approaches is crucial for developing effective fisheries management practices that can adapt to environmental uncertainties and ensure the sustainability of both marine resources and dependent communities.
The Influence of Social Media Marketing, Brand Image, and Word of Mouth on Purchasing Decisions of Arak Bali Beverages in Bali Province Thompson, I Wayan Bima; Bagus Aristayudha, A. A. Ngurah; Surya Astitiani, Ni Luh Putu
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1301

Abstract

As a regional staple that is of considerable cultural and economic significance in the Bali region, Arak Bali is the subject of this study, which aims to investigate the influence that social media marketing, brand image, and word of mouth have on the decisions that customers make about the purchase of Arak Bali. In a preliminary study with 10 participants, it was discovered that twenty percent of respondents were more interested in purchasing Arak Bali, while eighty percent preferred alcoholic beverages that were imported from other countries. This was the finding of the survey. For the purpose of this investigation, a quantitative methodology is applied, with a specific emphasis placed on the positivist paradigm. In addition to that, a survey that is comprised of questionnaires and random sampling is utilized. This study is centered on individuals who are wine drinkers and who reside in the province of Bali. These individuals are the focus of the investigation. For the purpose of this experiment, the sampling was carried out using the method of random sampling, and samples were gathered from as many as one hundred different individuals. Subsequent to the implementation of a double linear regression analysis strategy, the data is processed with the help of SPSS software version 29, which is the method that is utilized for the purpose of data analysis. The conclusions of this study indicate that the significance value of social media marketing is 0.001 less than 0.05, the significance value of brand image is 0.007 less than 0.05, and the meaning value of word of mouth is 0.001 less than 0.05. As a result, it is possible to draw the conclusion, on the basis of the analysis of the data, that social media marketing, brand image, and word of mouth have a substantial positive influence on the decision to purchase Bali Beverages in the province of Bali. Based on the data, it can be concluded that good marketing through social media, the building of a powerful brand image, and positive word of mouth all have a significant impact on the decisions that consumers make regarding their purchases. These findings provide essential information that can be utilized by Arak Bali in the development of its marketing strategy in highly competitive sectors.
Effect of Farmer Group Empowerment and Agribusiness Training Program on Productivity and Income of Coffee Farmers in West Java Ayesha, Ivonne; Harahap, Gustami; Cahya, Darmawan Listya
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1302

Abstract

This study investigates the impact of Farmer Group Empowerment and Agribusiness Training Programs on the Productivity and Income of coffee farmers in West Java. The research utilizes a quantitative approach with a sample of 200 coffee farmers and significantly positively affect ploys Structural Equation Modeling (SEM) with Partial Least Squares (PLS) to analyze the relationships between the key variables. The results indicate that both Farmer Group Empowerment and Agribusiness Training Programs significantly positively affect Productivity and Income. However, Farmer Group Empowerment shows a stronger impact on productivity compared to training programs, emphasizing the importance of collective action in enhancing farming practices. These findings highlight the need for an integrated approach to agricultural development, combining empowerment with technical training to ensure sustainable improvements in farmers' livelihoods. The study provides valuable insights for policymakers and agricultural development practitioners seeking to promote rural development and increase smallholder farmers' productivity and income.
The Effect of Workplace Facilities, Workload Management, and Job Flexibility on Employee Job Satisfaction in Insurance Companies in Indonesia Subroto, Setyowati; Endrawati, Titin; Nawiyah, Nawiyah
West Science Interdisciplinary Studies Vol. 2 No. 09 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i09.1303

Abstract

This study investigates the effect of workplace facilities, workload management, and job flexibility on employee job satisfaction in insurance companies in Indonesia. A quantitative research approach was employed, involving 75 respondents from various insurance firms. Data were collected using a structured questionnaire based on a 5-point Likert scale and analyzed using SPSS version 26. Pearson correlation and multiple regression analysis were used to assess the relationships between the variables. The results show that all three independent variables—workplace facilities, workload management, and job flexibility—have a significant positive effect on employee job satisfaction. Among them, workplace facilities had the strongest influence, followed by job flexibility and workload management. The model explained 60.3% of the variance in job satisfaction, highlighting the critical role these factors play in enhancing employee morale and retention. The findings provide practical insights for insurance companies to improve job satisfaction by focusing on creating supportive work environments, managing workloads effectively, and offering flexible work arrangements.

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