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. This journal is published by West Science Press.
The Mediating Role of Job Satisfaction in Career Development and Employee Performance
This study aims to analyze the mediating role of job satisfaction in influencing career development on employee performance at PT Bank Maluku Malut, Ambon Main Branch. The population in this study was all 55 employees of PT Bank Maluku Malut, Ambon Main Branch. The research sample consisted of 48 respondents selected using purposive sampling technique. Data analysis was conducted using SmartPLS 4 application through testing the measurement model (outer model) and structural model (inner model). The results of the study indicate that: (1) career development does not have a significant effect on the performance of employees of PT Bank Maluku Malut, Ambon Main Branch; (2) career development has a positive and significant effect on job satisfaction, which shows that opportunities and clarity of career development can increase employee job satisfaction; (3) job satisfaction has a significant effect on employee performance, so that the higher the job satisfaction, the better the performance produced; and (4) job satisfaction is proven to play a role as a mediating variable in the influence of career development on employee performance. This shows that career development does not directly improve performance, but through increasing job satisfaction which then encourages employees to produce more optimal performance.
Copyright (c) 2026 Billive Maitimu, Agusthina Risambessy, Felix Chandra https://creativecommons.org/licenses/by-sa/4.0
Comparative Analysis of Weekly Overburden Volume Using Total Station Survey and Truck Count Methods in Open-Pit Mine
Topographic surveying in mining operations is used to determine the actual progress volume of excavated material. In open-pit mining, overburden volume can be estimated from Total Station survey data through surface-to-surface volume calculation and compared with production volume obtained from Truck Count data. This study evaluates weekly overburden volume estimates derived from Total Station survey data and compares them with Truck Count volume data. The results showed that the volume difference in Week 1 was -43.11 BCM with a deviation of -1.1%. In Week 2, the difference was +126.06 BCM with a deviation of +1.6%. In Week 3, the difference was -59.87 BCM with a deviation of -1.6%, while in Week 4, the difference was -112.97 BCM with a deviation of -1.1%. The total volume difference was -89.89 BCM, with an overall deviation of -0.4%. The paired t-test indicated no statistically significant difference between Total Station survey-based volume estimates and Truck Count data. Therefore, both approaches can be considered comparable for estimating weekly overburden volume in open-pit mining operations.
Copyright (c) 2026 Helik Susilo, Achmad Ainun Rafiqul, Muhammad Tri Aditya https://creativecommons.org/licenses/by-sa/4.0
Creative Tourism for Cultural Preservation: A Bibliometric Review
This study presents a bibliometric analysis of research on creative tourism and cultural preservation to map its intellectual structure, thematic evolution, and collaborative patterns. Using a comprehensive dataset retrieved from an academic database and analyzed through VOSviewer, the study applies co-occurrence, citation, density, and network visualization techniques to identify dominant research themes and their interrelationships. The findings reveal that the intellectual core of the field is primarily structured around tourism, historic preservation, sustainable development, and cultural heritage, indicating a strong sustainability-oriented foundation. Cluster analysis further demonstrates the integration of cultural preservation with rural development, heritage management, and cultural industries, while emerging themes such as digital heritage technologies—including augmented reality, virtual reality, and artificial intelligence—reflect a gradual transformation toward technology-enhanced tourism experiences. The citation analysis identifies highly influential works spanning cultural theory, rural heritage systems, and digital preservation strategies, highlighting the interdisciplinary nature of the field. Meanwhile, co-authorship and country-level network analyses indicate strong but uneven collaboration patterns, with a small number of central actors and countries serving as key bridges in global research dissemination.
Copyright (c) 2026 Loso Judijanto, Sumarni Sumarni https://creativecommons.org/licenses/by-sa/4.0
Machine Learning Trends in Improving Startup Business Efficiency: A Bibliometric Review
The paper performs bibliometric analysis of studies on the trends in ML in increasing business efficiency of startups. Based on the data obtained from major scientific databases and analyzed by VOSviewer, the study examines the intellectual structure, thematic development, and global collaboration patterns in the field under investigation. In particular, the results show that the concept of machine learning is the main intellectual node that is related to the concepts like startups, investments, entrepreneurship, decision-making, forecasting, and data innovations. As for temporal dynamics, there is an evolution of basic statistical and predictive modeling methods to more sophisticated tools, which involve artificial intelligence-based decision support systems, innovation ecosystems, and scalability of startups. Finally, citation analysis detects key papers devoted to implementation of AI, success predictions of startups, and intelligent systems for validation of business models. Global collaboration patterns demonstrate a semi-centralized structure, with the US and India being the main nodes in the network.
Copyright (c) 2026 Loso Judijanto, Adam Husain https://creativecommons.org/licenses/by-sa/4.0
A Bibliometric Analysis of Exchange Rate Fluctuations
The present paper applies bibliometric analysis to the research dedicated to fluctuations of exchange rates with the purpose to investigate the intellectual structure, thematic development, and international collaborative trends of the field. On the basis of Scopus indexed papers and with the help of visualization software (VOSviewer), it performs keyword co-occurrence, citation, co-authorship and country-level collaborations analysis. The results prove that the field is characterized by predominance of macro-financial issues, namely exchange rates, financial markets, volatility, and monetary policy, gradually embracing forecasting, risk management, and econometrics. The analysis of overlay and density confirms the tendency towards the transition from traditional macroeconomic interpretations of the phenomenon to forecasting and computational approaches. The analysis of citations suggests the multidisciplinary nature of the knowledge base, as it includes not only economics and finance, but also environmental and complex system studies. Finally, the network analysis reveals the prevalence of the US and China as global research centers, as well as the secondary importance of Europe and participation of emerging economies.
Copyright (c) 2026 Loso Judijanto, Khairul Nur Adli https://creativecommons.org/licenses/by-sa/4.0
A Bibliometric Analysis of Email Marketing
In this study, we conduct the bibliometric analysis of email marketing research in order to examine its intellectual structure, theme development, and patterns of global collaboration. The database for data collection is a scientific database while the methods of bibliometric analysis include co-occurrence, co-authorship, co-citation analysis, and visualization with the help of VOSviewer software. The results indicate that email marketing research is firmly rooted in the field of marketing as there are prevailing keywords like “marketing,” “electronic mail,” “digital marketing,” and “social media.” In terms of themes, the research stream can be divided into four streams: strategic digital marketing and e-commerce performance, consumer behavior and communication channels, technology and computational methods which include machine learning and artificial intelligence, as well as security issues like spam and phishing detection. As for temporal trends, the research moved from the basic research on the internet to the data driven and personalized marketing. The collaboration analysis identifies a fragmented but nevertheless connected global research network with USA and India being the centers of international collaboration.
Copyright (c) 2026 Loso Judijanto, Rini Fitrianingrum https://creativecommons.org/licenses/by-sa/4.0
A Bibliometric Analysis of Cultural Change Management in HR
The current study performs a bibliometric investigation of the field of cultural change management in HRM and investigates its intellectual structure, the process of thematic evolution, and the global collaboration pattern. With the help of bibliometrics methods, the analysis of keywords co-occurrence, density visualization, citation impact, co-authorship network, and country level of collaboration is carried out. The results show that the concept of HRM represents the main hub of scientific research and is closely related to concepts of organizational culture, change management, HRM, knowledge management, and information systems. Thematic evolution shows the evolution of the scientific field from the fundamental research on HRM and knowledge management towards research on organizational behavior and organizational culture and more recent research on digital transformation in terms of artificial intelligence, HR analytics, and IT-enabled HRM. The citation analysis suggests that most influential papers combine various disciplines like healthcare, operations management, and organizational studies. Finally, the collaboration network shows that the UK and the USA are leaders in terms of scientific production, whereas Australia, Germany, and Netherlands are intermediators for other countries in the field.
Copyright (c) 2026 Loso Judijanto, Wahyudin Wahyudin https://creativecommons.org/licenses/by-sa/4.0
The Impact of Sustainable Marketing Strategies and Career Development Opportunities on Employee Productivity and Customer Loyalty in Jakarta
In an increasingly competitive business environment, organizations are required to implement strategies that not only enhance organizational performance but also promote long-term sustainability and customer retention. This study aims to examine the impact of Sustainable Marketing Strategies and Career Development Opportunities on Employee Productivity and Customer Loyalty in Jakarta. A quantitative research approach was employed using a survey method involving 200 respondents working in various organizations across Jakarta. Data were collected through structured questionnaires measured using a five-point Likert scale. The analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that Sustainable Marketing Strategies have a positive and significant effect on Employee Productivity (β = 0.382, p < 0.001) and Customer Loyalty (β = 0.291, p < 0.001). Career Development Opportunities also significantly influence Employee Productivity (β = 0.467, p < 0.001) and Customer Loyalty (β = 0.177, p = 0.010). Furthermore, Employee Productivity exerts the strongest direct effect on Customer Loyalty (β = 0.431, p < 0.001). The structural model explains 65.3% of the variance in Employee Productivity and 71.2% of the variance in Customer Loyalty, indicating substantial predictive capability. The findings suggest that organizations should integrate sustainability-oriented marketing initiatives with employee development programs to enhance workforce productivity and strengthen long-term customer loyalty. This study contributes to the literature by providing an integrated framework that combines external sustainability strategies and internal human resource development practices within a single model.
Copyright (c) 2026 Noor Aziz, Asa Sheila Amelia, Fauzi Ichwani, Gumoyo Munpuni Ningsih, Aula Nurul Ma'rifah https://creativecommons.org/licenses/by-sa/4.0
The Impact of ERP and IoT Technologies on Improving Operational Sustainability in the Logistics Sector in Surabaya
The logistics sector plays a critical role in supporting economic growth and supply chain efficiency, while simultaneously facing increasing pressure to adopt sustainable operational practices. Digital transformation technologies, particularly Enterprise Resource Planning (ERP) and the Internet of Things (IoT), have emerged as important tools for enhancing operational sustainability through improved resource management, real-time monitoring, and process optimization. This study aims to analyze the impact of ERP and IoT technologies on operational sustainability in the logistics sector in Surabaya. A quantitative research approach was employed using a survey method involving 100 respondents from logistics companies operating in Surabaya. Data were collected through structured questionnaires measured using a five-point Likert scale and analyzed using SPSS Version 25. The analytical techniques included validity and reliability testing, descriptive statistics, classical assumption testing, multiple linear regression analysis, coefficient of determination analysis, and hypothesis testing. The results reveal that ERP technology has a positive and significant effect on operational sustainability. Similarly, IoT technology significantly influences operational sustainability. Simultaneously, ERP and IoT technologies significantly affect operational sustainability, explaining 53.9% of the variance in operational sustainability. These findings indicate that the integration of ERP and IoT technologies enhances operational efficiency, resource utilization, process optimization, and organizational resilience, thereby contributing to sustainable logistics operations. The study highlights the strategic importance of digital transformation in supporting long-term sustainability and competitiveness within the logistics sector.
Copyright (c) 2026 Farida Arinie Soelistianto, Heri Setiyawan https://creativecommons.org/licenses/by-sa/4.0
The Effectiveness of Waste Management within the Framework of Green Economic Transformation and Regional Economic Performance: Empirical Evidence from the Banjarbakula Strategic Area, South Kalimantan
The transformation towards a green economy is a major challenge for regions still dependent on the extractive sector. Sustainable development literature emphasizes that integrating environmental policies into regional economic systems is a prerequisite for inclusive and resilient long-term growth. This study aims to analyze the influence of waste management on regional economic performance within a green economy framework in the Banjarbakula Metropolitan Area, South Kalimantan Province. The study uses a quantitative approach with an explanatory design and multiple linear regression analysis on data from 2021–2025. Waste management variables include policy and regulatory inclusiveness, budget adequacy, community participation, law enforcement effectiveness, multi-stakeholder partnerships, waste processing technology, and carbon trading, with Gross Regional Domestic Product (GRDP) as the dependent variable. The results show that waste management effectiveness through the seven independent variables mentioned above simultaneously has a significant effect on GRDP. Partially, the policy dimension, community participation, and law enforcement effectiveness show a relatively stronger influence. These findings confirm that waste management has the potential to be a strategic instrument in driving green economic transformation at the regional level.
Copyright (c) 2026 Patardo Haholongan Nainggolan, Laila Refiana Said, Indra Jaya Saputra, Eprinalia A https://creativecommons.org/licenses/by-sa/4.0
The Effect of Social Media Marketing and Word of Mouth on Marketing Promotion with Brand Image as a Mediating Variable at Flamboyan MSMEs in Gorontalo
This study aims to analyze the influence of Social Media Marketing and Word of Mouth on Marketing Promotion with Brand Image as a mediating variable in Flamboyan Gorontalo MSMEs. This study is motivated by the importance of utilizing social media and word of mouth communication in increasing the effectiveness of MSME marketing promotion amidst increasingly competitive business competition. The research method used is a quantitative approach with a survey technique. Data were obtained by distributing questionnaires to consumers who have purchased Flamboyan Gorontalo MSME products. The sampling technique used was accidental sampling. Data analysis was carried out using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) through the SmartPLS application. The results of the study indicate that Brand Image has a positive and significant effect on Marketing Promotion. Word of Mouth has a positive and significant effect on Brand Image. Conversely, Social Media Marketing has no significant effect on Brand Image or Marketing Promotion. In addition, Word of Mouth also has no significant effect on Marketing Promotion. The results of the indirect effect test indicate that Brand Image is unable to mediate the effect of Social Media Marketing on Marketing Promotion or the effect of Word of Mouth on Marketing Promotion. The research findings indicate that the success of marketing promotions in the Flamboyan Gorontalo MSME is more determined by the strength of its brand image than by social media marketing activities and direct word-of-mouth communication. This research contributes to the development of digital marketing and brand management literature, and provides input for MSMEs in designing marketing strategies that focus on strengthening brand image to increase the effectiveness of marketing promotions and business competitiveness.
Copyright (c) 2026 Darman Darman, Aulia Abdul Rahman, Irfan Akadji https://creativecommons.org/licenses/by-sa/4.0
The Influence of Eco-Influencers and Social Media Advocacy on Purchase Intentions for Eco-Friendly Products in West Java
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.
Copyright (c) 2026 Arief Fahmi Lubis, Paramita Andiani, Salwa Aulia Novitasari https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Human-Computer Interaction
Human–Computer Interaction (HCI) has emerged as a multidisciplinary field that bridges computer science, artificial intelligence, psychology, and design to improve the interaction between humans and digital technologies. This study aims to analyze the intellectual structure, research trends, collaboration patterns, and emerging themes within the HCI literature through a bibliometric approach. Data were collected from the Scopus database using the keyword “Human–Computer Interaction” and related terms. Bibliometric analysis and visualization were conducted using VOSviewer to examine publication networks, keyword co-occurrences, citation structures, co-authorship relationships, institutional collaborations, and country-level research partnerships. The findings reveal that HCI research is centered on themes such as user interfaces, user experience, artificial intelligence, machine learning, computer vision, gesture recognition, virtual reality, and augmented reality. Overlay visualization indicates a recent shift toward advanced technologies, particularly deep learning, emotion recognition, convolutional neural networks, and intelligent interaction systems. Citation analysis identifies several highly influential publications that have shaped the theoretical and methodological foundations of the field, while collaboration analyses highlight the significant roles of the United States, China, and India, alongside leading institutions such as Carnegie Mellon University and the University of Washington. The results demonstrate that HCI research is increasingly interdisciplinary and globally collaborative, reflecting the growing demand for intelligent, adaptive, and user-centered technologies. This study provides a comprehensive overview of the evolution of HCI research and offers insights into future directions, particularly in the areas of AI-driven interaction, multimodal recognition, immersive environments, and personalized digital experiences.
Copyright (c) 2026 Loso Judijanto https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Green Buildings
Green buildings have emerged as a critical strategy for addressing environmental challenges associated with rapid urbanization, energy consumption, and greenhouse gas emissions. Consequently, scholarly interest in green building research has increased substantially over the past two decades. This study aims to map the intellectual structure, research trends, influential contributors, and collaboration patterns within the field of green buildings through a bibliometric analysis. Data were collected from the Scopus database and analyzed using VOSviewer to examine publication networks, keyword co-occurrence, citation patterns, author collaborations, institutional relationships, and country-level partnerships. The findings reveal that green buildings, green building, sustainability, construction industry, and architectural design constitute the core themes of the literature. The overlay visualization indicates a shift in research focus from energy efficiency and building performance toward broader sustainability concerns, including green development, green economy, and sustainable construction. Citation analysis highlights the interdisciplinary nature of the field, with influential studies spanning sustainable materials, environmental management, urban green spaces, and green manufacturing. Co-authorship and institutional analyses identify several leading scholars and universities, particularly from China, which also emerges as the most influential country in international research collaboration. The country collaboration network further demonstrates strong global partnerships involving the United States, the United Kingdom, Australia, and other Asian and European countries.
Bibliometric Analysis of Fraud Detection in the Fintech Sector
The rapid growth of financial technology (fintech) has transformed the delivery of financial services while simultaneously increasing exposure to various forms of digital fraud and cybersecurity threats. As fintech platforms continue to expand globally, fraud detection has emerged as a critical research area aimed at enhancing the security, reliability, and sustainability of digital financial ecosystems. This study conducts a bibliometric analysis to examine the intellectual structure, research trends, influential publications, and collaborative networks within the field of fraud detection in the fintech sector. Bibliographic data were collected from the Scopus database and analyzed using VOSviewer to visualize keyword co-occurrence, author collaboration, institutional collaboration, country collaboration, overlay visualization, and density mapping. The findings reveal that fintech serves as the central theme connecting major research areas such as fraud detection, artificial intelligence, machine learning, cybersecurity, blockchain, and risk management. Keyword analysis indicates that artificial intelligence and machine learning have become dominant technological approaches for detecting and preventing fraudulent activities in digital financial services. Overlay visualization demonstrates a shift from traditional concerns related to cybercrime, regulatory compliance, and financial risk management toward emerging topics such as blockchain security, financial inclusion, and AI-driven fraud detection systems. Citation analysis identifies studies on artificial intelligence, fintech security frameworks, and cybersecurity as the most influential contributions to the field. Furthermore, collaboration analysis shows that research activities are concentrated within a limited number of author groups, institutions, and countries, with India emerging as the leading contributor to international collaboration.
Copyright (c) 2026 Loso Judijanto, Adih Supriadi https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Marketing Automation Research
Marketing automation has become an increasingly important component of contemporary marketing strategies, enabling organizations to enhance customer engagement, improve operational efficiency, and support data-driven decision-making. Despite its growing adoption across industries, the intellectual structure and development trends of marketing automation research remain insufficiently explored. Therefore, this study aims to map the evolution, knowledge structure, and emerging themes of marketing automation research through a bibliometric analysis. Data were collected from the Scopus database and analyzed using VOSviewer to examine publication patterns, influential literature, keyword co-occurrence, co-authorship networks, institutional collaboration, and country collaboration. The findings indicate that marketing automation research is strongly associated with themes such as artificial intelligence, machine learning, predictive analytics, digital marketing, commerce, and big data. Automation emerged as the central concept linking technological and managerial dimensions of the field. Overlay visualization revealed a shift from industry-specific applications toward advanced technologies, particularly artificial intelligence and machine learning, which have become dominant research topics in recent years. Citation analysis identified machine learning and AI-based business transformation as the primary intellectual foundations of the field. Furthermore, collaboration analyses highlighted the significant contributions of India, the United States, and Germany, alongside a growing network of international research partnerships. The study concludes that marketing automation has evolved from an operational marketing tool into a strategic capability that supports personalization, customer relationship management, and business innovation. These findings provide valuable insights for academics and practitioners while identifying future research opportunities related to generative artificial intelligence, advanced analytics, customer experience optimization, and ethical considerations in automated marketing systems.
Bibliometric Analysis of Workforce Planning in the Digital Age
The rapid advancement of digital technologies has transformed the way organizations plan, manage, and develop their workforce. Consequently, workforce planning has become increasingly important in helping organizations adapt to digital transformation, artificial intelligence, and evolving skill requirements. This study aims to examine the intellectual structure, research trends, and emerging themes of workforce planning in the digital age through a bibliometric analysis. Bibliographic data were retrieved from the Scopus database and analyzed using VOSviewer to identify publication patterns, influential publications, keyword relationships, author collaborations, institutional networks, and country-level collaborations. The results reveal that workforce planning research is primarily concentrated around themes such as personnel management, workforce development, digital transformation, artificial intelligence, information management, and healthcare workforce systems. The keyword co-occurrence analysis indicates that personnel, workforce, digital transformation, and workforce planning are the most prominent research topics, while overlay visualization highlights recent interest in digital-age workforce management, information systems, and data-driven decision-making. Citation analysis shows that digital health and technology-enabled workforce studies have significantly influenced the field. Furthermore, collaboration analysis demonstrates strong research partnerships among authors, institutions, and countries, with Australia emerging as a major contributor to international collaboration. The findings suggest that workforce planning research is shifting toward predictive, technology-enabled, and evidence-based approaches that emphasize workforce resilience, digital competencies, and organizational adaptability. This study contributes to the literature by providing a comprehensive overview of the evolution of workforce planning research and identifying promising directions for future investigations in the context of digital transformation.
Copyright (c) 2026 Loso Judijanto, Helmita Helmita https://creativecommons.org/licenses/by-sa/4.0
Integrative Mapping of Factors and Dynamics of Work-Life Balance in Flexible and Remote Work Arrangements: Systematic Review
This study aims to map the factors shaping and influencing the dynamics of work-life balance in flexible and remote work arrangements, as well as to identify research trends, theoretical perspectives, and existing research gaps in the literature. The study employed a Systematic Literature Review (SLR) approach using the PRISMA procedure through the Scopus database. From an initial 120 identified articles, 31 articles met the inclusion criteria and were selected for the final synthesis. The findings indicate that work-life balance is influenced by psychological, organizational, social, technological, and individual factors. The results also reveal paradoxical dynamics, where flexible work arrangements can improve autonomy and well-being while simultaneously increasing stress, burnout, role conflict, and blurred boundaries between work and personal life. The study concludes that work-life balance is the result of interactions among multiple factors within the modern work environment.
Copyright (c) 2026 Ryalno Stefano Noya https://creativecommons.org/licenses/by-sa/4.0
An Evaluation of the Use of People Analytics and Talent Management in Improving Human Resource Quality and Productivity in Manufacturing Companies in West Java
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.
Copyright (c) 2026 Nanda Hidayati, Ilham Akbar Bunyamin, Paramita Andiani https://creativecommons.org/licenses/by-sa/4.0
Financial Information Transparency and Data Security on Building User Trust in Peer-to-Peer Lending Platforms in Indonesia
This study examines the influence of financial transparency and data security on user trust in peer-to-peer (P2P) lending platforms in Indonesia. The rapid growth of fintech services has increased public adoption of digital lending platforms; however, concerns regarding transparency and cybersecurity remain significant challenges affecting consumer confidence. This research employed a quantitative approach using a survey method involving 250 respondents who had experience using P2P lending platforms in Indonesia. Data were collected through structured questionnaires using a five-point Likert scale and analyzed using SPSS version 25. The results indicate that financial transparency has a positive and significant effect on user trust, demonstrating that clear and accessible financial information enhances perceptions of platform reliability and accountability. Data security was also found to positively and significantly influence user trust, indicating that strong protection of personal and financial information increases confidence in digital transactions. Simultaneously, financial transparency and data security significantly influence user trust in P2P lending services. The findings suggest that fintech companies should strengthen transparent financial communication and cybersecurity systems to maintain public trust and support the sustainable development of digital financial services in Indonesia.
Copyright (c) 2026 Meiske Wenno, Muhamad Ammar Muhtadi, Rully Fildansyah https://creativecommons.org/licenses/by-sa/4.0
Business Performance of Millennial Farmers in the Digital Era Based on Digital Agriculture, Internet Access, and Technology Literacy in East Java
This study aims to analyze the influence of digital agriculture, internet access, and technology literacy on the business performance of millennial farmers in East Java. The research employed a quantitative approach using a survey method involving 150 millennial farmers as respondents. Data were collected through questionnaires measured using a Likert scale and analyzed using IBM SPSS Statistics. The results indicate that digital agriculture, internet access, and technology literacy have positive and significant effects on business performance both partially and simultaneously. Technology literacy emerged as the most dominant variable influencing business performance, followed by digital agriculture and internet access. The coefficient of determination (R²) value of 0.520 indicates that 52.0% of the variation in business performance can be explained by the three independent variables. The findings suggest that the integration of digital technology, supported by adequate internet access and strong technological competence, contributes significantly to improving productivity, operational efficiency, market expansion, and business sustainability among millennial farmers. This study highlights the importance of strengthening digital infrastructure, expanding internet accessibility, and improving technology literacy to support sustainable agricultural transformation in the digital era.
Copyright (c) 2026 Rani Eka Arini, Christine Riani Elisabeth, Dila Padila Nurhasanah https://creativecommons.org/licenses/by-sa/4.0
Strategies for Interorganizational Relationships in the Implementation of the “Merdeka Belajar Kampus Merdeka” Initiative at Private Universities in Gorontalo
This study aims to analyze the Interorganizational Relationship (IOR) strategy in the implementation of the Independent Learning (Merdeka Belajar Kampus Merdeka MBKM) policy at private universities (PTS) in Gorontalo Province, emphasizing the dimensions of coordination, cooperation, and collaboration between organizations. In the context of MBKM, interorganizational relationships are key to expanding resource access, strengthening curriculum relevance, and improving the quality of experiential learning. This study uses a qualitative approach with a case study method in several private universities that have implemented the MBKM program in Gorontalo. Informants were purposively selected from the leadership of private universities, LLDIKTI Region XVI, and APTISI Gorontalo Region, with data collection techniques through in-depth interviews, participatory observation, and documentation studies. The results show that coordination between private universities is facilitated by APTISI and LLDIKTI through meeting forums that regularly discuss MBKM implementation, so that communication flows and information exchange are relatively well established. However, substantive cooperation and collaboration between private universities in the form of student exchanges and lecturer teaching outside their home base have hardly materialized, although these two indicators have great potential for development based on the MBKM Key Performance Indicators. Field findings reveal that weak cooperation and collaboration are influenced by institutional egos, competitive tendencies in student recruitment, similar capacities and resources across private universities, and complex internal bureaucracy. This study confirms that the success of MBKM implementation in Gorontalo's private universities is largely determined by the institution's ability to build inter-organizational networks that are not only coordinative but also collaborative and mutually beneficial in a sustainable manner.
Copyright (c) 2026 Rizal Rizal, Ansar Ansar, Sastro Mustapa Wantu, Yanti Aneta https://creativecommons.org/licenses/by-sa/4.0
Invisible Assets, Visible Problems: An Analysis of Issues in the Management of Intangible Assets in the Indonesian Government
Government agencies' ownership of intangible assets increases each year in line with the expansion of digitization programs; however, this is not always accompanied by optimal management. Many intangible assets eventually fall into disuse—either because they are no longer relevant to the agency's needs or have been replaced by new systems—yet they remain recorded as assets in government financial statements. This issue has ultimately drawn the attention of the Supreme Audit Agency of the Republic of Indonesia (BPK RI). During the 2014–2023 period, the BPK RI identified intangible assets that were no longer in use but were still recorded as current assets in the financial reports of ministries and agencies. Using content analysis, this article aims to describe issues in the management of intangible assets within the Indonesian government, with a focus on those no longer in use. The analysis results show that the BPK RI recommended that ministries and agencies write off these intangible assets because they are considered non-compliant with existing regulations, which stipulate that only intangible assets that are still in use may be recorded.
Copyright (c) 2026 Nur Aini, Jamaluddin Jamaluddin, Iskandar Iskandar https://creativecommons.org/licenses/by-sa/4.0
Analysis of Trends and Composition of Forest and Vegetative Land Rehabilitation Activities in the Limboto Lake Catchment Area for the Period 2021-2025
This study analyzes the temporal trend and activity composition of vegetative forest and land rehabilitation (RHL) in the catchment area of Lake Limboto for 2021–2025. A quantitative descriptive approach was applied to secondary data from the BPDAS Bone Limboto 2025 database, strengthened with year-on-year change rates, the coefficient of variation, concentration ratios, and the Herfindahl-Hirschman index to assess the program portfolio structure. The total area of vegetative RHL over five years reached 693 ha, with an annual mean of 138.6 ha and a coefficient of variation of about 79.9%, indicating a dynamic, phase-based implementation rhythm. The highest achievement occurred in 2022 (340 ha; 49.06%), while the two leading years (2022–2023) accounted for 74.31% of the total. By composition, core RHL planting dominated (262 ha; 37.81%), followed by watershed rehabilitation (200 ha; 28.86%) and the Community Nursery/KBR (183 ha; 26.41%); these three pillars formed 93.07% of the portfolio, with an effective number of activities of 3.33. The annual composition revealed a tiered pattern from seedling provision toward larger-scale planting. Spatial interpretation of the activity map showed interventions concentrated on the buffer hill belts to the north, west, and south of the catchment, consistent with an upstream-priority logic. The findings emphasize that RHL evaluation should consider temporal continuity and compositional balance, not only area achievement.
Copyright (c) 2026 Sitti Mutiah Rahman, Iswan Dunggio, Sukirman Rahim https://creativecommons.org/licenses/by-sa/4.0
Effectiveness of Technical Civil RHL Structure Distribution in the Lake Catchment Area Period 2021-2025 to Support The Ecosystem Resilience of Lake Limboto
Lake Limboto is one of Indonesia's national priority lakes subject to severe ecological pressure resulting from sedimentation and land-cover change within its catchment area (DTA). In response, the Watershed and Protected Forest Management Center of Bone Bolango (BPDAS Bone Bolango) implemented a Technical Civil Forest and Land Rehabilitation (RHL) program over the 2021–2025 period, constructing a total of 172 structures comprising Gully Plugs (GP), Sediment Retention Dams (DPN), Rainwater Harvesting Installations (IPAH), Infiltration Wells (SRA), and Ecohydraulic structures. This study analyzes the annual trends, proportional distribution, and functional relevance of each structure type in supporting the ecosystem resilience of Lake Limboto. Data were obtained from the BPDAS Bone Bolango Database (2026) and analyzed through annual trend tabulation, proportional analysis, and qualitative literature-based assessment. Results indicate that GPs dominated the total output at 79 units (45.93%), followed by IPAH and SRA at 34 units each (19.77%), DPN at 19 units (11.05%), and Ecohydraulic at 6 units (3.49%). Annual implementation fluctuated, peaking in 2022 (64 units) and 2024 (54 units), with complete stagnation in 2025. The combined deployment of erosion-control and water-conservation structures reflects an integrated conservation approach aimed at strengthening the hydrological and ecological resilience of the DTA. Recommendations include increasing the proportion of ecohydrological structures, integrating geospatial-based site prioritization, and ensuring program continuity beyond 2025.
Copyright (c) 2026 Safira Putri H. Malik, Iswan Dunggio, Sukirman Rahim https://creativecommons.org/licenses/by-sa/4.0
Integration of Digital Twins and IoT Sensors to Support Monitoring Accuracy and Maintenance Effectiveness in the Manufacturing Industry in the Cikarang Region
This study investigates the integration of digital twin technology and Internet of Things (IoT) sensors in improving monitoring accuracy and maintenance effectiveness within manufacturing companies in the Cikarang industrial region. A quantitative research design was employed using data collected from 125 respondents representing operational, maintenance, engineering, and managerial roles. The measurement instrument was developed using a Likert scale, and data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that the integration of digital twins and IoT sensors has a significant positive effect on monitoring accuracy, demonstrating that real-time data synchronization and simulation capabilities enhance system visibility and anomaly detection. Monitoring accuracy is also found to significantly influence maintenance effectiveness, highlighting the importance of accurate and timely information in supporting predictive maintenance practices. Furthermore, digital integration directly affects maintenance effectiveness, indicating that simulation-based insights and real-time data contribute to improved maintenance planning and reduced downtime. The model explains 61.2% of the variance in maintenance effectiveness (R² = 0.612), suggesting strong explanatory power. This study contributes to the literature on Industry 4.0 by providing empirical evidence on the role of integrated digital technologies in enhancing operational performance in a developing country context. Practically, the findings suggest that manufacturing firms should prioritize the integration of digital twins and IoT sensors to achieve higher monitoring accuracy and more effective maintenance strategies.
Copyright (c) 2026 Farida Arinie Soelistianto, Salwa Aulia Noviasari, Rully Fildansyah https://creativecommons.org/licenses/by-sa/4.0
The Impact of Climate Finance and Corporate Sustainability on Firm Value in Multinational Companies in Indonesia
This study examines the impact of climate finance and corporate sustainability on firm value in multinational companies operating in Indonesia. Using a quantitative approach, data were collected from 125 respondents through a structured questionnaire measured on a Likert scale. The analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3) to evaluate both direct and indirect relationships among variables. The results indicate that climate finance has a positive and significant effect on firm value, while corporate sustainability demonstrates a stronger positive influence. Furthermore, climate finance significantly affects corporate sustainability, indicating its role as a key driver of sustainability practices. Mediation analysis reveals that corporate sustainability partially mediates the relationship between climate finance and firm value, with a significant indirect effect. These findings suggest that the value of climate finance is maximized when it is effectively translated into sustainability practices. The study contributes to the literature by providing empirical evidence from an emerging market context and highlights the importance of integrating financial and sustainability strategies to enhance firm value. Practical implications emphasize the need for managers and policymakers to strengthen sustainability-oriented financial mechanisms to support long-term corporate performance and environmental responsibility.
Copyright (c) 2026 Loso Judijanto, Edy Arisondha https://creativecommons.org/licenses/by-sa/4.0
Legislative Incompetence Resulting from Poor Recruitment and It’s Implications for National Economic Policy
This study aims to analyze the causal relationship between the failure of political party recruitment design and the emergence of legislative incompetence and its implications for the quality of national economic policy. The background of this study is based on the phenomenon of low capacity of legislative members in carrying out legislative, budgeting, and oversight functions, which directly impacts the country's economic performance. The method used is an explanatory sequential mixed-methods approach with an institutional analysis and economic policy evaluation approach. Quantitative data were obtained from the profiles of members of the House of Representatives (DPR) for the 2019–2024 period and macroeconomic indicators, while qualitative data came from in-depth interviews and analysis of policy documents. The results show that weak regulations in political recruitment, particularly the absence of competency standards and merit-based selection mechanisms, have resulted in the dominance of legislators with low economic capacity. This condition triggers distortions in the legislative process, budgeting, and oversight of economic policy, characterized by budget misallocation, inconsistent policies, and low quality economic regulations. Further implications are seen in increasing fiscal inefficiency, a weakening investment climate, and hampered inclusive economic growth. This study concludes that reform of the political recruitment system is a fundamental prerequisite for improving the quality of national economic policy and promoting sustainable development.
Copyright (c) 2026 Eprinalia A, Laila Refiana Said, A Suriansyah, Patardo Haholongan Nainggolan, Indra Jaya Saputra https://creativecommons.org/licenses/by-sa/4.0
The Influence of Social Media Marketing and Electronic Word of Mouth on Purchase Intention of Sea Makeup Products through Brand Image on the TikTok Platform in Pekanbaru City
This study aims to analyze the influence of social media marketing and electronic word of mouth on purchase intention through brand image for Sea Makeup products on the TikTok platform in Pekanbaru City. The background of this study is based on the rapid growth of TikTok as a digital marketing platform that plays an important role in shaping consumer perceptions and purchase intentions, especially among Generation Z. The pre-survey results indicate that although content exposure is relatively high, consumer perceptions of the product remain varied. This study employs a quantitative approach using purposive sampling techniques involving 190 Generation Z women respondents in Pekanbaru City. Data were collected through a Likert-scale questionnaire and analyzed using the SEM-PLS method with the assistance of SmartPLS 4. The results show that social media marketing and e-WOM have a positive and significant effect on brand image and purchase intention. In addition, brand image also has a significant effect on purchase intention and is able to mediate the influence of social media marketing and e-WOM on purchase intention. These findings indicate that digital marketing activities and user interactions on TikTok play an important role in shaping brand image and increasing consumer purchase intention.
Copyright (c) 2026 Revi Marita, Prima Andreas, Dian Pratiwi, Henni Noviasari https://creativecommons.org/licenses/by-sa/4.0
Omnichannel Marketing and Customer Satisfaction: The Mediating Role of Service Quality Among Generation Z Consumers at Guardian Pekanbaru
This study aims to empirically examine the role of omnichannel marketing in enhancing customer satisfaction, with service quality acting as a mediating variable among Generation Z consumers at Guardian Pekanbaru. The integration of marketing channels has become increasingly critical in contemporary consumer behavior, particularly for digitally oriented Generation Z consumers who expect seamless shopping experiences. Data were collected from 100 respondents using a purposive sampling technique, focusing on consumers who had engaged in purchases across multiple channels (online and offline). The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4. The results indicate that omnichannel marketing has a positive and significant effect on both service quality and customer satisfaction. Furthermore, service quality significantly mediates the relationship between omnichannel marketing and customer satisfaction, suggesting that effective channel integration enhances perceived service quality and strengthens customer satisfaction.
Copyright (c) 2026 Ghina Soraya, Prima Andreas, Dian Pratiwi, Henni Noviasari https://creativecommons.org/licenses/by-sa/4.0