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All Journal Jurnal Hukum dan HAM Wara Sains Jurnal Multidisiplin West Science West Science Law and Human Rights Jurnal Akuntansi dan Keuangan West Science Jurnal Bisnis dan Manajemen West Science West Science Interdisciplinary Studies West Science Interdisciplinary Studies West Science Social and Humanities Studies Science Information System and Technology
Paramita Andiani
Universitas Nusa Putra
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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An Evaluation of the Use of People Analytics and Talent Management in Improving Human Resource Quality and Productivity in Manufacturing Companies in West Java Nanda Hidayati; Ilham Akbar Bunyamin; Paramita Andiani
West Science Interdisciplinary Studies Vol. 4 No. 05 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i05.2879

Abstract

This study aims to evaluate the use of people analytics and talent management in improving the quality and productivity of human resources in manufacturing companies in West Java. The rapid development of digital transformation and Industry 4.0 has encouraged manufacturing organizations to adopt data-driven human resource management practices to enhance operational efficiency and workforce competitiveness. This study uses a quantitative research approach involving 150 respondents from manufacturing companies in West Java. Data were collected through questionnaires using a Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 3 software. The variables examined include people analytics, talent management, human resource quality, and human resource productivity. The results indicate that people analytics has a positive and significant effect on human resource quality with a path coefficient of 0.381 and a T-statistic of 5.842. Talent management also positively affects human resource quality with a path coefficient of 0.472 and a T-statistic of 7.116. Furthermore, human resource quality significantly influences human resource productivity with a path coefficient of 0.844 and a T-statistic of 18.527. The findings demonstrate that the integration of people analytics and talent management contributes significantly to improving workforce competency, professionalism, and productivity in manufacturing organizations. This study provides theoretical contributions to human resource management literature and practical implications for manufacturing companies in developing data-driven HR strategies and sustainable talent development systems to improve organizational competitiveness.
The Influence of Eco-Influencers and Social Media Advocacy on Purchase Intentions for Eco-Friendly Products in West Java Arief Fahmi Lubis; Paramita Andiani; Salwa Aulia Novitasari
West Science Interdisciplinary Studies Vol. 4 No. 05 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i05.2913

Abstract

The increasing environmental awareness among consumers has encouraged businesses to promote eco-friendly products through digital communication channels. Social media has emerged as a powerful platform for influencing consumer behavior, particularly through eco-influencers and environmental advocacy campaigns. This study aims to examine the influence of eco-influencers and social media advocacy on consumers’ intention to purchase eco-friendly products in West Java. A quantitative research approach was employed using a survey method. Data were collected from 175 respondents who actively use social media and are familiar with eco-friendly products. The research instrument utilized a five-point Likert scale, and the collected data were analyzed using SPSS version 25 through validity testing, reliability testing, descriptive analysis, multiple linear regression, coefficient of determination analysis, and hypothesis testing. The results reveal that eco-influencers have a positive and significant effect on purchase intention, indicating that credible environmental influencers can effectively encourage consumers to consider eco-friendly products. Social media advocacy also demonstrates a positive and significant influence on purchase intention, suggesting that environmental campaigns disseminated through social media enhance awareness and motivate sustainable purchasing behavior. Furthermore, eco-influencers and social media advocacy simultaneously influence purchase intention, explaining 46.1% of the variance in consumers’ intention to purchase eco-friendly products. The findings highlight the strategic importance of digital environmental communication in promoting sustainable consumption and provide practical implications for businesses, marketers, and policymakers seeking to encourage environmentally responsible purchasing behavior.
The Influence of Green Fintech Adoption and ESG Awareness on the Financial Performance of Startups in West Java Hasmia Melati Arifin; Dila Padilah Nurhasanah; Paramita Andiani
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; Ilham Akbar Bunyamin; Paramita Andiani
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.
The Impact of Data Engineering Maturity and Analytics Pipeline Automation on Operational Prediction Accuracy through Data Quality in Warehousing Logistics in Tangerang Diky Wardhani; Ilham Akbar Bunyamin; Paramita Andiani
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 Paramita Andiani; Muhammad Rusdi; Rival Pahrijal
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 Impact of Platform Governance and Seller Support on Seller Performance on Marketplace Platforms in West Java Paramita Andiani; Rani Eka Arini; Aya Sofia Diaz
West Science Interdisciplinary Studies Vol. 4 No. 07 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i07.3025

Abstract

The rapid expansion of online marketplaces has created significant opportunities for entrepreneurs and small businesses to access broader markets and improve business performance. However, the ability of sellers to achieve sustainable performance is influenced by the quality of platform management and the support mechanisms provided by marketplace operators. This study aims to examine the impact of platform governance and seller support on seller performance among online marketplace sellers in West Java. This research employed a quantitative approach using a survey method involving 125 online marketplace sellers as respondents. Data were collected using a structured questionnaire with a five-point Likert scale and analyzed using Statistical Package for the Social Sciences (SPSS) version 25. The data analysis included validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, t-test, F-test, and coefficient of determination analysis. The results indicate that both platform governance and seller support have a positive and significant effect on seller performance. Platform governance shows a significant influence, demonstrating that transparent policies, transaction security, and fair platform management contribute to improved seller outcomes. Meanwhile, seller support has a stronger positive influence, indicating that training programs, technical assistance, marketing support, and communication facilities play important roles in enhancing sellers’ capabilities. Furthermore, the coefficient of determination (R² = 0.520) shows that platform governance and seller support explain 52.0% of the variation in seller performance. This study highlights that marketplace providers should develop integrated governance systems and comprehensive seller support programs to strengthen seller competitiveness and promote sustainable digital commerce development, particularly in the West Java marketplace ecosystem.
Smart City Regulatory Design: Balancing Public Safety, Privacy, and Civil Liberties in Administrative Law Paramita Andiani; Auliya Citra; Irwan Amar
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.
Clean Energy Policies and Just Transition for Coal Industry Workers Indah Dwiprigitaningtias; Rival Pahrijal; Paramita Andiani
West Science Law and Human Rights Vol. 4 No. 03 (2026): West Science Law and Human Rights
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wslhr.v4i03.3005

Abstract

Indonesia’s transition toward clean energy represents an important legal and policy response to climate change, environmental degradation, and the pursuit of sustainable development. However, the gradual reduction of coal dependency also creates significant legal and socio-economic challenges for workers and communities whose livelihoods rely on the coal industry. This study aims to examine the adequacy of Indonesia’s legal framework in ensuring a just transition for coal industry workers during the implementation of clean energy policies. The research employs a normative legal method using statutory, conceptual, comparative, and analytical approaches. Primary legal materials consist of constitutional provisions, national legislation, presidential regulations, and international legal instruments related to energy transition, environmental protection, labor rights, and social security. Secondary legal materials include academic journals, books, policy reports, and legal commentaries concerning clean energy governance and just transition. The findings indicate that Indonesia has established a relatively comprehensive legal framework supporting renewable energy development and greenhouse gas emission reduction. Nevertheless, the legal framework governing worker protection during the energy transition remains fragmented and insufficiently integrated. Existing regulations primarily emphasize environmental objectives and renewable energy investment while providing only general labor protection without specifically regulating workforce reskilling, employment transition, income protection, regional economic diversification, and institutional coordination. Consequently, legal uncertainty persists regarding the protection of coal industry workers affected by decarbonization policies. The study concludes that Indonesia requires a more comprehensive and integrated legal framework that harmonizes environmental sustainability with labor rights and social justice. Strengthening legislation concerning just transition, workforce protection, social dialogue, dedicated transition financing, and intergovernmental coordination is essential to ensure that Indonesia’s clean energy transition is equitable, inclusive, and capable of supporting long-term sustainable development.
The Impact of Data Engineering Maturity and Analytics Pipeline Automation on Operational Prediction Accuracy through Data Quality in Warehousing Logistics in Tangerang Diky Wardhani; Ilham Akbar Bunyamin; Paramita Andiani
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.
Co-Authors Ade Suhara Akmal Abdullah Alifah Lettiane Virainy Lubis Ari Purwanti Arief Fahmi Lubis Auliya Citra Aya Sofia Diaz Diky Wardhani Dila Padila Nurhasanah Dila Padilah Nurhasanah Hasmia Melati Arifin Hildawati Hildawati Ilham Akbar Bunyamin Indah Dwiprigitaningtias Irwan Amar Kalijunjung Hasibuan Loso Judijanto Moh. Muchlis Djibran Mokoginta, Meity M Muhammad Rusdi Muhammad Rusdi Nanda Hidayati Rani Eka Arini Refiana Yuliawati Rival Pahrijal Salwa Aulia Novitasari