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Closing the Green Gap: Attitude Drives Green Consumer Behavior among Gen Z in West Java
No full textThe issues of global warming and the accumulation of hazardous waste, particularly plastic waste (18.55% of the national waste composition), demand serious commitment from Indonesia in achieving its Net Zero Emission target. This study focuses on Generation Z in West Java, the largest population segment with great potential as agents of change in sustainable consumption (Green Consumer Behavior or GCB). The objective is to analyze the influence of Environmental Awareness, Environmental Knowledge, Product Availability, and Environmental Policy on GCB, with the mediating role of Attitudes toward Environmentally Friendly Products. Using a quantitative causal research design, data were collected from 385 Gen Z respondents in 14 cities/districts in West Java and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that this model has a very high explanatory power, covering 92.7% of GCB variation. All direct and indirect hypotheses (H1–H13) were proven positive and significant. Environmental Knowledge was the most dominant factor shaping attitudes (path coefficient 0.475) and directly influencing GCB (path coefficient 0.352). A crucial finding confirms that Attitudes toward Environmentally Friendly Products play a significant psychological mediating role, bridging the influence of Awareness, Knowledge, Availability, and Policy toward green consumption behavior. These results underscore the urgency of improving environmental literacy and product availability as keys to encouraging Gen Z participation in plastic waste mitigation efforts in West Java
Empathy-Driven Ethical Interaction: A Catalyst for Creativity and Organizational Performance in Local Government Institutions of West Java
No full textPublic sector organizations play a vital role in providing public goods and services and ensuring transparency and accountability. However, there are significant challenges, as evidenced by West Java being ranked among the top three provinces with the highest number of public service complaints in 2022 (21 complaints). The 2023 pre-survey results show public dissatisfaction with service delivery, staff behavior, and complaint mechanisms. This highlights the urgent need to improve service ethics, empathy, and creativity in public services. This study aims to analyze the relationship between Organizational Reward, Knowledge-Oriented Leadership (KOL), Empathy Ethical Interaction (EEI), Creativity, and Organizational Performance (OP). Using explanatory research and the Partial Least Squares (PLS) method, this study involved a sample of 262 Heads of Departments from 27 Regencies/Cities in West Java. The analysis results show that the model has a very high predictive power (Q² = 0.998), where exogenous variables explain 90.5% of OP variation. All eight hypotheses were significantly accepted. KOL proved to be a dominant factor, having the strongest influence on EEI (t = 5.285) and OP (t = 3.047). Crucially, EEI significantly influenced Creativity (t = 2.305) and Organizational Performance (t = 2.186), functioning as a mediating variable that strengthened the relationship between variables. In conclusion, EEI is a vital catalyst for bureaucratic creativity and innovative public performance, especially given the cultural diversity in West Java. An empathy- and ethics-based leadership approach will strengthen innovation and organizational effectiveness, ultimately accelerating the realization of good governance
Policy Implementation Model of the Sumedang Puseur Budaya Sunda (SPBS) in the Sumedang Regency Government
No full textThis study analyzes the implementation of Sumedang Puseur Budaya Sunda (SPBS) policy in Sumedang Regency, as regulated by Regional Regulation Number 1 of 2020. This policy aims to establish Sumedang Regency as the center of Sundanese culture by integrating cultural values into government administration and regional development. The study employs a qualitative approach with a case study method. The findings indicate that although government officials understand the policy's objectives, its implementation in the field remains suboptimal. The main obstacles include ineffective socialization, low community participation in cultural preservation, limited human resources and budget, and insufficient coordination between government agencies and stakeholders. This study proposes an alternative implementation model that emphasizes increased collaboration between the government, the community, and the private sector. The model encourages active community participation in policy formulation and implementation and the development of culture-based programs aligned with local needs. The SPBS policy holds significant potential to strengthen Sundanese cultural identity and improve community welfare. However, its success requires a more integrated and sustainable approach. This research is expected to contribute to the development of culture-based public policies in Sumedang Regency and serve as a reference for studies in public administration and cultural policy
Governance Mechanisms and Public Asset Integrity: The Role of E-Governance, SPIP, and Whistleblowing
No full textThis study aims to examine the influence of E-Governance, Government Internal Control System (SPIP), and Whistleblowing System implementation on asset management practices and their implications for asset fraud prevention in local governments. The research focuses on regency and city governments in West Java and East Java provinces, Indonesia. Employing a quantitative approach with a survey method, data were collected from 352 respondents across 65 local governments. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for data analysis. The findings indicate that the implementation of E-Governance and SPIP significantly and positively influences asset management. Furthermore, E-Governance, SPIP, the Whistleblowing System, and asset management implementation significantly contribute to asset fraud prevention. This study highlights the critical role of governance mechanisms and digital public services in enhancing transparency, asset security, and fraud mitigation within decentralized governmental systems. These findings are expected to contribute to the advancement of public governance practices, particularly in developing countries
Multiplier Effect Incubator Model Through Entrepreneurship Effectivity: Brief Analysis of Higher Education Sustainable Planning Strategy
No full textThis research aims linear fundamental matters which would be revealed related to positive significance linear Development strategy was implemented as methodological technique and population involved in this research was Yogyakarta University students who collaboratively synergized in business incubator, entitled 145 students. The development strategy was implemented as methodological technique and population involved in this research was Yogyakarta higher education students who collaboratively synergized in business incubator, entitled total of 145 students and data collection technique used was full sample through selecting entire population as research subjects. Focus on implementing data collection through administering tests, questionnaires, observation assistance, interviews and documentation followed by descriptive analysis, percentages and non-parameter statistics implementing SPSS. There are number of fundamental problems which become research findings, entitled which order planning and developing business incubator model could be implemented on an empirical basis, conceptually and comprehensively structured. The stages of developing business incubator model are carried out in three stages, entitled introduction, developing model, and testing model. The business incubator model which encourages entrepreneurial skills of Yogyakarta higher education students is business incubator model which is projected to be innovative and requires entrepreneurial creativity. The business incubator model developed at Yogyakarta universities makes it possible to manifest participants' entrepreneurial skills. There are related studies which have been carried out at different locations and research durations as relevant and comparative research in drawing initial research conclusions. However, novelty is target of researchers in providing novelty research which focuses on achieving research targets supported by quantitative methods and descriptive analysis, discussion of field observations segmented within scope field research
The Influence of Income Levels, Tax Rate Changes, and Tax Incentives on Income Tax Revenue from Entrepreneurial Individual Taxpayers and/or MSMEs: A Case Study at the Banda Aceh DJP Regional Office
No full textThe type of research used by the researcher in conducting this research is a type of quantitative research, with a causal comparative research method and using a survey. The population referred to in this study is taxpayer subjects in Banda Aceh City, which amounts to 5,936 taxpayer subjects. So, in this study, the sample that the researcher will use is as many as 98 taxpayer subjects found in the Directorate General of Taxes of the Banda Aceh Regional Office. Data collection techniques are efforts or methods made by researchers to obtain the data needed in research namely, observation, questionnaire, literature study. The regression coefficient for the effect of Income Levels is 0.424, which indicates that every increase in Income Levels will increase Income Tax Revenues by 0.424. This shows a positive relationship between Income Levels and Income Tax Revenues. The t-statistic for the effect of the Income Levels variable is 4.788, with a significance probability of < 0.001. The t-table value at a 5% significance level is approximately 1.986. This result shows that Income Levels have a significant positive effect on Income Tax Revenues because the significance value is < 0.05
Navigating Blue Economy Diplomacy: Comparative Study of Seaweed Industry Development in Pangandaran and Serang, Indonesia
No full textThis article focuses on the role of the seaweed sector in supporting Indonesia's blue economy diplomacy agenda, through case studies in two coastal areas that have different potentials and challenges: Pangandaran Regency and Serang Regency. The purpose of this study was to compare the dynamics of production, management, marketing, and institutional support for the seaweed sector in both regions. In addition, this study aims to analyze how this local potential can contribute to Indonesia's broader export policy and blue economy diplomacy framework. This article uses the International Political Economy and Blue Economy Diplomacy approaches to explain the relationship between local actors, national policies, and international markets. This study used a descriptive qualitative method through in-depth interview techniques with business actors, village officials, and MSME managers in two coastal villages: Bagolo Village (Pangandaran) and Lontar Village (Serang). The analysis was carried out by comparing the management patterns, inhibiting factors, and expansion strategies of the seaweed market. The results show that both regions have large seaweed export potential, but face similar structural challenges such as limited raw materials, environmental pollution, and the absence of sustainable supporting policies. However, there are promising local initiatives such as MSME-based processed products, participation in international exhibitions, and interest in foreign markets, which can be used as a foundation for strengthening Indonesia's blue economy diplomacy from the grassroots level
Work Life Balance: A Study of Personality Traits, Time Management, and Technology Factors in Millennials and Generation Z
No full textWork can impact the balance between personal and professional life, especially when someone has to face long working hours and excessive workloads. In addition, increasing demands from work or family roles can also trigger conflicts between the work domain and personal life, which in turn can cause stress and even disrupt daily life stability. This study aims to examine the relationship between the variables Personality Traits, Technology, and Time Management on Work-Life Balance in Generation Z and Millennials, with the goal of gaining an understanding of how to improve life balance and create a healthy and productive work environment. This study was carried out using quantitative methods in the DKI Jakarta area to investigate the relationship between these three variables and the level of Work-Life Balance in both generations. A total of 220 respondents from various industry sectors in Indonesia participated by filling out questionnaires. The results show an R-Square value of 0.648 for the three variables (Personality Traits, Technology, and Time Management). The Technology variable had the most dominant influence with a coefficient of 0.906 (T = 13.411; p = 0.000), while Time Management had a negative influence with a coefficient of -0.143 (T = 2.681; p = 0.007), while Personality Traits had a very small and insignificant effect (T = 0.178; p = 0.859). Bootstrap Multigroup Analysis (MGA) with SmartPLS showed no significant difference between Millennials and Generation Z in the relationship between the variables tested. Work-Life Balance is determined by time management effectiveness and proportional technology use. Appropriate technology use can support work flexibility, but without good time management, it can cause fatigue and reduce an individual's well-being
Crop Recommendation with Fertilizer Suggestion and Plant Disease Detection
No full textIn modern agriculture, the convergence of Internet of Things (IoT) and Artificial Intelligence (AI) technologies has emerged as a promising solution to address challenges related to crop management, fertilizer optimization, and plant disease detection. This paper presents an integrated system that leverages IoT sensors, AI algorithms, and machine learning models to provide comprehensive support for farmers in making informed decisions regarding crop cultivation. The proposed system comprises three main components: crop recommendation, fertilizer suggestion, and plant disease detection. Firstly, utilizing IoT sensors deployed in the fields, environmental data such as temperature, humidity, soil moisture, and nutrient levels are continuously monitored and collected. This data is then fed into AI algorithms to analyze the optimal conditions for various crops. Based on historical data, weather forecasts, and crop characteristics, the system generates personalized crop recommendations for farmers, taking into account factors such as soil type, climate, and market demand.
Secondly, the system provides intelligent fertilizer suggestions tailored to the specific needs of each crop and soil condition. By analyzing soil nutrient levels, crop growth stages, and environmental factors, AI algorithms determine the appropriate type and amount of fertilizer required to maximize yield while minimizing environmental impact and input costs. This dynamic approach to fertilizer management aims to enhance nutrient utilization efficiency and promote sustainable agricultural practices. Thirdly, the system incorporates AI-based image processing techniques for early detection and diagnosis of plant diseases. High-resolution images of crop leaves captured by IoT-enabled cameras are analyzed using deep learning models trained on extensive datasets of diseased and healthy plants. By identifying visual symptoms and patterns associated with various diseases, the system provides timely alerts to farmers, enabling proactive disease management strategies such as targeted spraying and crop rotation. Overall, the integration of IoT and AI technologies offers a powerful framework for optimizing crop production, improving resource efficiency, and mitigating the risks associated with pest and disease outbreaks. Through real-time monitoring, data-driven insights, and proactive interventions, the proposed system empowers farmers to achieve higher yields, reduce input costs, and contribute to sustainable agriculture practices
Factors Affecting the Intention to Use Blockchain in International Payment Activities: An Empirical Study at Vietnamese Commercial Banks
No full textThe application of Blockchain technology (BLC) in the banking and finance sector has been implemented in many countries worldwide, but in Vietnam, only a few banks have used it. This study evaluates the factors affecting the intention to use (IU) BLC in international payment activities (ITP) in Vietnamese commercial banks, thereby proposing solutions to deploy Blockchain technology applications in Vietnamese commercial banks. The authors conducted a survey and analyzed data collected from 215 survey samples of managers and employees working at commercial banks who regularly use international payment services for customers. The study uses the TAM and UTAUT models to measure the factors determining the intention to use global payment services of commercial banks applying BLC such as Customer service quality, Performance Expectancy, Government regulations, Facilitating conditions, and Behavioral intention. The research results indicate that (i) The above 5 factors positively affect the intention to use international payment services at Vietnamese banks implementing BLC. (2) Help managers at commercial banks fully understand the factors affecting the intention to use BLC to improve the efficiency of international payment, so that, banks can find an alternative method to implement international payment by smart contracts using BLC instead of using many types of proof documents as before