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All Journal Jurnal Multidisiplin West Science West Science Law and Human Rights West Science Interdisciplinary Studies West Science Interdisciplinary Studies West Science Social and Humanities Studies Science Information System and Technology West Science Islamic Studies
Andiani, Paramita
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Analysis of Financial Technology Adoption, Financial Literacy, and Ease of Transactions on the Financial Satisfaction of E-Commerce Consumers in Central Java Hildawati, Hildawati; Pahrijal, Rival; Andiani, Paramita
West Science Interdisciplinary Studies Vol. 4 No. 02 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i02.2641

Abstract

This study aims to analyze the influence of financial technology application, financial literacy, and ease of transactions on the financial satisfaction of e-commerce consumers in Central Java. A quantitative approach was employed using survey data collected from 150 respondents through a structured questionnaire measured on a Likert scale. Data analysis was conducted using SPSS version 25, including validity and reliability tests, classical assumption tests, and multiple linear regression analysis. The results indicate that financial technology application has a positive and significant effect on financial satisfaction, showing that the use of digital payment systems enhances efficiency and consumer confidence. Financial literacy also demonstrates a significant positive influence, suggesting that consumers with better financial understanding tend to make more responsible financial decisions and experience higher satisfaction. Ease of transactions emerges as the most dominant factor affecting financial satisfaction, highlighting the importance of user-friendly and efficient payment processes in e-commerce environments. Simultaneously, all independent variables significantly influence financial satisfaction, with the model explaining 61.0% of the variance. These findings imply that improving digital financial services, strengthening financial literacy, and enhancing transaction convenience are essential strategies for increasing consumer financial well-being in the digital economy⁠.
The Impact of Digital Content Quality and Short-Video Marketing on Brand Awareness and Engagement Rate among Fashion MSMEs in West Java Utomo, Sulistyo Budi; Andiani, Paramita; Nurhasanah, Dila Padila
West Science Social and Humanities Studies Vol. 4 No. 02 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i02.2650

Abstract

The rapid growth of social media platforms has transformed marketing strategies among fashion Micro, Small, and Medium Enterprises (MSMEs), particularly through the use of digital content and short-form video promotion. This study aims to examine the impact of digital content quality and short video marketing on brand awareness and engagement levels among fashion MSMEs in West Java. A quantitative research design was employed using survey data collected from 155 MSME owners and managers through a structured questionnaire measured on a Likert scale. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that digital content quality has a positive and significant effect on brand awareness and engagement levels, while short video marketing significantly enhances both brand visibility and audience interaction. Brand awareness also demonstrates a significant positive influence on engagement and acts as a partial mediating variable between digital marketing strategies and engagement outcomes. These findings suggest that visually appealing and informative content combined with short video formats can strengthen brand positioning and improve customer interaction in digital environments. This study contributes to digital marketing literature by providing empirical evidence from the fashion MSME sector in West Java and offers practical insights for businesses seeking to optimize their social media strategies in competitive markets.
The Impact of Data Engineering Maturity and Analytics Pipeline Automation on Operational Prediction Accuracy through Data Quality in Warehousing Logistics in Tangerang Wardhani, Diky; Bunyamin, Ilham Akbar; Andiani, Paramita
West Science Interdisciplinary Studies Vol. 4 No. 04 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i04.2787

Abstract

This study aims to examine the effect of data engineering maturity levels and analytics workflow automation on operational prediction accuracy through the mediating role of data quality in warehouse logistics in Tangerang. A quantitative research approach was employed using data collected from 75 respondents involved in warehouse operations. The data were gathered through a structured questionnaire based on a Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that data engineering maturity levels have a positive and significant effect on data quality, and analytics workflow automation also significantly influences data quality. Furthermore, data quality has the strongest positive effect on operational prediction accuracy. Direct effects show that data engineering maturity and analytics workflow automation also significantly influence prediction accuracy, although their effects are weaker compared to the indirect effects through data quality. Mediation analysis confirms that data quality partially mediates these relationships. These findings highlight that improving operational prediction accuracy in warehouse logistics is not solely dependent on advanced analytical tools but is strongly influenced by the quality of data generated through mature data engineering practices and automated analytics workflows. This study contributes to the literature by integrating technological capability and data quality perspectives and provides practical implications for logistics companies in enhancing data-driven decision-making and operational efficiency.
Analysis of the Impact of Industry–School Partnerships and Project-Based Learning on Graduates' Employability at Vocational High Schools in Jakarta Andiani, Paramita; Rusdi, Muhammad; Pahrijal, Rival
West Science Interdisciplinary Studies Vol. 4 No. 04 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i04.2799

Abstract

This study examines the impact of industry-school partnerships and project-based learning on the work readiness of vocational high school graduates in Jakarta. A quantitative research design was employed, utilizing a survey distributed to 150 graduates from various vocational schools. The survey measured perceptions of industry-school partnerships, project-based learning, and work readiness using a Likert scale. The data analysis, conducted with SPSS version 25, revealed that both industry-school partnerships and project-based learning have a significant positive relationship with work readiness. Industry-school partnerships were found to enhance technical skills and industry-specific knowledge, while project-based learning fostered critical thinking, problem-solving, and teamwork. The combined effect of these two factors accounted for 29% of the variance in work readiness. The findings suggest that integrating these approaches into vocational education can significantly improve graduates' employability and better prepare them for the workforce. This study provides valuable insights for policymakers and educators aiming to improve vocational education outcomes in Jakarta and beyond.
Smart City Regulatory Design: Balancing Public Safety, Privacy, and Civil Liberties in Administrative Law Andiani, Paramita; Citra, Auliya; Amar, Irwan
West Science Law and Human Rights Vol. 4 No. 02 (2026): West Science Law and Human Rights
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wslhr.v4i02.2792

Abstract

This study examines the regulatory design of smart city governance in Indonesia through a normative legal approach, with a focus on balancing public safety, privacy, and civil liberties within the framework of administrative law. The rapid adoption of digital technologies—such as surveillance systems, big data analytics, and automated decision-making—has enhanced governmental capacity in delivering public services and maintaining security. However, these developments also raise significant legal challenges related to data protection, administrative discretion, and the potential infringement of fundamental rights. This research analyzes relevant legal frameworks, including constitutional provisions, administrative law principles, and sectoral regulations on digital governance and personal data protection. The findings reveal that Indonesia’s current regulatory framework is fragmented and lacks comprehensive integration, resulting in an imbalance that tends to prioritize public safety and administrative efficiency over privacy and civil liberties. The study identifies key challenges, including weak implementation of data protection principles, limited transparency in algorithmic governance, and inadequate oversight mechanisms. From an administrative law perspective, principles such as legality, proportionality, transparency, accountability, and legal certainty have not been fully operationalized in smart city policies. This study proposes a more integrated and principles-based regulatory model that harmonizes existing regulations, strengthens institutional coordination, and embeds human rights safeguards into digital governance. By aligning smart city development with the rule of law and constitutional values, the study contributes to the formulation of a balanced regulatory framework that supports technological innovation while protecting individual rights in Indonesia.
The Impact of Data Engineering Maturity and Analytics Pipeline Automation on Operational Prediction Accuracy through Data Quality in Warehousing Logistics in Tangerang Wardhani, Diky; Bunyamin, Ilham Akbar; Andiani, Paramita
West Science Interdisciplinary Studies Vol. 4 No. 04 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i04.2787

Abstract

This study aims to examine the effect of data engineering maturity levels and analytics workflow automation on operational prediction accuracy through the mediating role of data quality in warehouse logistics in Tangerang. A quantitative research approach was employed using data collected from 75 respondents involved in warehouse operations. The data were gathered through a structured questionnaire based on a Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that data engineering maturity levels have a positive and significant effect on data quality, and analytics workflow automation also significantly influences data quality. Furthermore, data quality has the strongest positive effect on operational prediction accuracy. Direct effects show that data engineering maturity and analytics workflow automation also significantly influence prediction accuracy, although their effects are weaker compared to the indirect effects through data quality. Mediation analysis confirms that data quality partially mediates these relationships. These findings highlight that improving operational prediction accuracy in warehouse logistics is not solely dependent on advanced analytical tools but is strongly influenced by the quality of data generated through mature data engineering practices and automated analytics workflows. This study contributes to the literature by integrating technological capability and data quality perspectives and provides practical implications for logistics companies in enhancing data-driven decision-making and operational efficiency.
Analysis of the Impact of Industry–School Partnerships and Project-Based Learning on Graduates' Employability at Vocational High Schools in Jakarta Andiani, Paramita; Rusdi, Muhammad; Pahrijal, Rival
West Science Interdisciplinary Studies Vol. 4 No. 04 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i04.2799

Abstract

This study examines the impact of industry-school partnerships and project-based learning on the work readiness of vocational high school graduates in Jakarta. A quantitative research design was employed, utilizing a survey distributed to 150 graduates from various vocational schools. The survey measured perceptions of industry-school partnerships, project-based learning, and work readiness using a Likert scale. The data analysis, conducted with SPSS version 25, revealed that both industry-school partnerships and project-based learning have a significant positive relationship with work readiness. Industry-school partnerships were found to enhance technical skills and industry-specific knowledge, while project-based learning fostered critical thinking, problem-solving, and teamwork. The combined effect of these two factors accounted for 29% of the variance in work readiness. The findings suggest that integrating these approaches into vocational education can significantly improve graduates' employability and better prepare them for the workforce. This study provides valuable insights for policymakers and educators aiming to improve vocational education outcomes in Jakarta and beyond.
The Influence of Green Fintech Adoption and ESG Awareness on the Financial Performance of Startups in West Java Arifin, Hasmia Melati; Nurhasanah, Dila Padilah; Andiani, Paramita
West Science Social and Humanities Studies Vol. 4 No. 04 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i04.2845

Abstract

This study investigates the effect of green fintech adoption and ESG (Environmental, Social, and Governance) awareness on the financial performance of startups in West Java. A quantitative research design was employed using primary data collected from 85 startup actors through structured questionnaires measured on a five-point Likert scale. Data analysis was conducted using SPSS version 25, including validity and reliability testing, classical assumption tests, and multiple linear regression analysis. The results indicate that green fintech adoption has a positive and significant effect on financial performance, suggesting that the use of environmentally oriented financial technologies enhances operational efficiency and financial outcomes. ESG awareness also demonstrates a positive and significant influence, indicating that startups with stronger sustainability orientation achieve better financial results. Simultaneously, both variables significantly affect financial performance, with a coefficient of determination (R²) of 0.543, meaning that 54.3% of the variance in financial performance is explained by the model. These findings highlight the strategic importance of integrating digital financial innovation with sustainability awareness to achieve sustainable financial growth in startups.
The Effect of System Quality and Information Quality on User Satisfaction with Academic Information Systems Hildawati, Hildawati; Bunyamin, Ilham Akbar; Andiani, Paramita
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2778

Abstract

This study aims to examine the effect of system quality and information quality on user satisfaction with Academic Information Systems (AIS) in Indonesia. A quantitative approach was employed using survey data collected from 150 respondents who actively use AIS in higher education institutions. Data were gathered through a structured questionnaire measured using a Likert scale. The analysis was conducted using IBM SPSS Statistics version 25, including validity and reliability tests, classical assumption tests, and multiple linear regression analysis. The results indicate that both system quality and information quality have a positive and significant effect on user satisfaction, both partially and simultaneously. System quality contributes through aspects such as ease of use, reliability, and responsiveness, while information quality is reflected in accuracy, relevance, and timeliness. Furthermore, information quality was found to have a stronger influence compared to system quality. The coefficient of determination (R²) shows that 48.3% of user satisfaction can be explained by the two independent variables. These findings highlight the importance of improving both system performance and the quality of information provided to enhance user satisfaction. This study provides practical implications for universities and system developers in optimizing academic information systems to better meet user needs and expectations.
Co-Authors Amar, Irwan Apriyanto, Apriyanto Ari Purwanti Arifin, Hasmia Melati Arini, Rani Eka Auliya Citra Bunyamin, Ilham Akbar Hendratri, Bhaswarendra Guntur Heni Widyaningsih, Heni Hildawati Hildawati, Hildawati Idrus, Nabain Judijanto, Loso Latifa Dinar Rahmani Hakim Mas’ut, Mas’ut Muhammad Rusdi Nailul, Muhammad Novitasari, Salwa Aulia Nurhasanah, Dila Padila Nurhasanah, Dila Padilah Pahrijal, Rival Retno Wulansari SITI MAHMUDAH Sono, Mohammad Gifari Sulistyo Budi Utomo Tirta Mulyadi Wardhani, Diky Yuliawati, Refiana