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NICHOLAS RENALDO
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Journal of Applied Business and Technology
Published by INSTITUT BISNIS DAN TEKNOLOGI PELITA INDONESIA
ISSN : 27225372     EISSN : 27225380     DOI : https://doi.org/10.35145/jabt
Core Subject : Economy, Science,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
JABT (Journal of Applied Business and Technology) is a media for exploration and discussion about Business Management and Technological problems arised in the society. It includes scientific articles in the form of research results, theory application, analytical studies, and literature studies on both areas. JABT also accumulates the literature reviews and critiques in improving theories and researches and offer contributions in delevoping educational methodology in the area of Business Management and Technology.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 147 Documents
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Balancing Offshore Renewable Energy and Marine Conservation in the Blue Economy Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Jahrizal, Jahrizal; Yovita, Indri; Musa, Sulaiman; Cecilia, Cecilia
Journal of Applied Business and Technology Vol. 5 No. 2 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i2.168

Abstract

The Blue Economy represents a sustainable approach to harnessing ocean resources for economic growth while preserving marine ecosystems. This study explores the intersection of offshore renewable energy development, particularly wind and tidal energy, and marine conservation. It highlights the significance of adopting innovative technologies, such as floating wind turbines, and emphasizes the role of Marine Spatial Planning (MSP) and Ecological Modernization Theory (EMT) in balancing economic activities with environmental protection. Using qualitative research methods, including semi-structured interviews with stakeholders from renewable energy companies, conservation NGOs, policymakers, and local fishing communities, this study reveals key themes related to policy gaps, innovative solutions, and the necessity of stakeholder collaboration. Findings indicate that existing regulatory frameworks often inadequately address ecological impacts, creating inconsistencies between energy development and conservation efforts. However, advancements in technology and collaborative approaches show promise for minimizing environmental disruption. The research underscores the need for stronger regulatory frameworks that integrate marine conservation into energy development plans. It advocates for community involvement in decision-making processes and the adoption of eco-friendly technologies. By aligning regulatory practices with sustainable development principles, the study presents a pathway toward achieving a balanced Blue Economy, ensuring both economic prosperity and the health of marine ecosystems for future generations. Future research areas are identified to further enhance understanding of the long-term impacts and effective management strategies in this critical field.
Advancing Digital and Technology Literacy through Qualitative Studies to Bridging the Skills Gap in the Digital Age Junaedi, Achmad Tavip; Panjaitan, Harry Patuan; Yovita, Indri; Veronica, Kristy; Renaldo, Nicholas; Jahrizal, Jahrizal
Journal of Applied Business and Technology Vol. 5 No. 2 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i2.170

Abstract

The digital age has transformed the way individuals live, work, and interact, with innovations like artificial intelligence, cloud computing, and the Internet of Things (IoT) reshaping industries and societies. This study examines the key obstacles to improving digital and technology literacy and proposes strategies to bridge this gap. The research focuses on developing economies, where socio-economic, infrastructural, and educational barriers exacerbate the digital divide. Employing a qualitative literature review, the study analyzes peer-reviewed articles, reports, and case studies to identify the main challenges and successful interventions in promoting digital literacy. The novelty of this research lies in its contextual focus on developing economies, its multi-sectoral approach involving public and private collaboration, and its emphasis on tailored, lifelong learning programs. By integrating case studies and a thematic analysis of current initiatives, this study provides actionable recommendations for advancing digital and technology literacy, enabling individuals and organizations to fully participate in an increasingly digital world. Advancing digital and technology literacy is vital for closing the skills gap in today’s digital age. Despite numerous initiatives, challenges such as limited access, resistance to change, and inadequate educational programs persist. Holistic, multi-sectoral approaches are necessary to create meaningful improvements in literacy rates, contributing to social mobility and economic development. Future studies could use a quantitative approach to measure the impact of specific interventions on digital literacy. Longitudinal research could track the effectiveness of ongoing programs in different socioeconomic settings.
Comparison of Feature Selection with Information Gain Method in Decision Tree, Regression Logistic and Random Forest Algorithms Sholeh, Muhammad; Lestari, Uning; Andayati, Dina
Journal of Applied Business and Technology Vol. 5 No. 3 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.155

Abstract

One of the approaches that can be done is to perform feature selection. Feature selection is done by identifying the most informative features and not using features that do not directly contribute to the target feature. The purpose of feature selection is to increase the accuracy of the model. The research was conducted by comparing the performance of the model by comparing the accuracy results of the model without any feature selection with the model that has done feature selection. The process is done by comparing the accuracy results with decision tree, random forest and SVM algorithms. In the research method of feature selection on science data, the steps include understanding the domain and dataset, exploratory analysis, data cleaning, measuring feature relevance with criteria such as Information Gain, and feature ranking. The results are evaluated and validated using model performance metrics before and after feature selection. This process ensures selection of relevant features, improving accuracy. The research process used the Lung Cancer Prediction datasheet which consists of 306 rows and 16 attributes. The results show that feature selection can improve the performance of the classification model by reducing features that do not contribute to the target. Comparison results using decision tree, Regression Logistic and random forest classification model algorithms and feature selection resulted in a high accuracy value of 0.968 in the Regression Logistic algorithm with a feature selection of 5.
Impact of Stock Split on Stock Return in Companies Listed on the India Stock Exchange Mahmood, Ahmed Ahmed A.; Jarallah, Estabraq Mahmood; Ghdhaib, Mohanad Ghali
Journal of Applied Business and Technology Vol. 5 No. 3 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.163

Abstract

The aim of this research is to evaluate the impact of a company's announcement, which in this case is a stock split, on the return of a company's stock listed on the Indian stock market. basing on this, the extent and significance of the effect is measured and examined through parametric and non-parametric tests. due to the aim of the paper is to test if the stock split will have a positive influence on the stock price around the implementation of the policy, we use the event study method and set regression model. In order to test the effect of the strategy, we picked estimation period and event period from each stock, and conduct regression analysis respectively. As suggested by the cumulative average AR value, the precision weighted CAAR and the ABHAR, the results imply that during the short window event of pre- and post-10 days of stock splits, the selected company have witnessed significant ARs so we reject H0 and accept H1, which suggests the presence of ARs within the event window. Similarly, other tests such as Patellz, Cross-sectional Test-t, Generalized Signz, Std. Cross-sectional Testz and Adjusted Patellz also suggest to reject H0 stating that there are ARs during the study window of the stocks splits. However, these findings are based on the 10-days event and 90-days estimation windows used for analysis and impact of the stocks splits on the stock returns of the selected company.
The Impact of Government Accounting Standards Implementation, Internal Control Systems, and Human Resource Competence on Regional Financial Report Quality Yenni, Elfita; Junaedi, Achmad Tavip; Wijaya, Evelyn
Journal of Applied Business and Technology Vol. 5 No. 3 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.182

Abstract

This study introduces a comprehensive model that simultaneously investigates the interplay of Government Accounting Standards Implementation, Internal Control Systems, and Human Resource Competence in determining regional financial report quality. This study employs a quantitative research design. The sample size for this study is 96 respondents, meeting the minimum requirement for Structural Equation Modeling (SEM) analysis. Only human resource competence can improve regional financial report quality. These findings align with Agency Theory, emphasizing that competent agents (human resources) are critical for reducing information asymmetry and improving financial reporting. They also connect to Institutional Theory, illustrating that formal systems like GAS and ICS require human agency to operationalize institutional norms effectively. Finally, the results support Resource-Based Theory (RBT), highlighting HRC as a strategic resource that drives organizational success in financial reporting. Future studies should explore the impact of external audits, political stability, and organizational culture on financial report quality.
Revisiting the Future of International Marketing Strategy in the Digital Age Agusta, Muhammad Adrian; Yusnidar, Yusnidar
Journal of Applied Business and Technology Vol. 5 No. 3 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.185

Abstract

This paper explores the opportunities and challenges of the digital era in international marketing strategy. Focus on designing and implementing internet-based strategies, including internal company factors, external environment, market selection, mix marketing, and strategic control. Conceptual study This compiles and analyzes factors that influence marketing international use of digital technology. Digital technology influences decisions on foreign market selection, implementation, and control of marketing strategies. This allows the company to design effective marketing programs, support​ the implementation of digital devices, and improve performance internationally. This study gives a framework Work for marketing strategy internationally digital based and identifies opportunities for future research​ in the digital era.
The Bright Side of Artificial Intelligence in Corporate Leadership: A Rapid Literature Review of the Past Five Years Nyoto, Nyoto; Nyoto, Rebecca La Volla; Renaldo, Nicholas
Journal of Applied Business and Technology Vol. 5 No. 3 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.186

Abstract

Artificial intelligence (AI) has emerged as a transformative force in corporate leadership, significantly reshaping how organizations operate and adapt in an increasingly digital world. As AI continues to evolve, understanding its impact on leadership practices is crucial for organizations seeking to stay competitive. This study employs a Rapid Literature Review approach to explore AI's beneficial impacts on corporate leadership over the last five years, synthesizing findings from 21 research articles. The PRISMA 2020 framework is used to select the articles for review, and Atlas.ti is applied to identify patterns in the literature and label the findings. The analysis reveals five key domains where AI demonstrates significant benefits, including building trust and ethical governance, enhancing decision-making and strategic insights, improving collaboration and team dynamics, increasing operational efficiency and productivity, and fostering emerging leadership dimensions. The findings highlight how AI embeds transparency and accountability, supports data-driven decision-making, and optimizes human resource processes. Additionally, AI fosters innovation by enabling leaders to adopt inclusive practices. This study provides valuable insights for leaders seeking to leverage AI for sustainable growth, emphasizing its potential in reshaping corporate leadership. By understanding and implementing these benefits, organizations can position themselves to thrive in the era of digital transformation.
Blue Innovation, Value Creation, and Decision-making on Digital Performance and Sustainability Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Veronica, Kristy; Augustine, Yvonne; Musa, Sulaiman; Cecilia, Cecilia
Journal of Applied Business and Technology Vol. 5 No. 3 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.189

Abstract

This study proposed model framework introduces a novel approach by positioning Blue Innovation as a primary driver of Value Creation and Decision-Making, which in turn mediate the relationship between Digital Performance and Sustainability. In this quantitative research, data will be collected using a structured questionnaire. The sample size will be 155 respondents. This study uses Structural Equation Modeling (SEM) analysis to analyze the influence of independent, intervening, and control variables on the dependent variable. The findings provide significant insights into how these variables interact and influence one another, summarized as blue innovation significantly enhances digital performance, value creation has a strong positive impact on digital performance, decision-making significantly improves digital performance, blue innovation positively influences sustainability, value creation cannot directly increase sustainability, decision-making has a significant positive impact on sustainability, digital performance significantly enhances sustainability, blue innovation increases sustainability through digital performance, value creation indirectly increases sustainability through digital performance, decision-making positively influences sustainability through digital performance.
Enhancing Customer Satisfaction: The Impact of Service Quality and Store Atmosphere on Shopping Convenience Putri, Shintania Camila; Lusianti, Dina; Wismar’ein, Dian
Journal of Applied Business and Technology Vol. 6 No. 1 (2025): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i3.164

Abstract

This research aims to analyze how service quality and store atmosphere impact customer satisfaction, with shopping convenience as an intervening variable in Supermarket customers in Kudus, Indonesia. This research is quantitative, involving hypothesis testing. The sample for this study consisted of 144 respondents. The sampling technique used is non-probability sampling with a purposive sampling method. Data was collected using a questionnaire distributed via Google Forms. The instrument tests conducted include validity tests, reliability tests, and normality tests. The analysis technique used is SEM (Structural Equation Modeling) with AMOS 24 software. The results of this study indicate that service quality does not affect customer satisfaction, store atmosphere has no effect on customer satisfaction, service quality has no effect on shopping convenience, store atmosphere has a positive and significant effect on customer satisfaction, and shopping convenience has a positive and significant effect on customer satisfaction.
Quality of Tax System Services at Bapenda of Pekanbaru City Naulian, Lia; Hasanah, Nur; Novita, Wilda; Waty, Elly Niel
Journal of Applied Business and Technology Vol. 6 No. 1 (2025): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v6i1.177

Abstract

This study aims to examine the quality of tax system services implemented in the Regional Revenue Agency (Bapenda) of Pekanbaru City. This study focuses on the importance of efficient and effective tax system service quality in increasing taxpayer satisfaction, as well as the challenges faced in implementing the tax system. The method applied in this research is a descriptive qualitative approach. Data was obtained through interviews, observation and documentation. The theory used in this study is the SERVQUAL model, which measures service quality based on five dimensions: physical evidence, reliability, responsiveness, assurance, and empathy. This research shows that overall, the Pekanbaru City Bapenda has succeeded in implementing good service quality indicators in increasing Taxpayer comfort and satisfaction. This research also states that the main challenge faced by the Pekanbaru City Bapenda in improving service quality is managing the manual tax system which has an impact on lower service efficiency, processing processes that take up to two weeks or more, long queues, and the potential for errors. man. Therefore, it is important for Bapenda to continue to evaluate and improve, especially in terms of the queuing system and the use of digital technology.

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