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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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The Role of Artificial Intelegensia Technology in Improving the Quality of Education Susanti, Wilda; Widi, Rahma; Nasution, Torkis; Johan, Johan; Verawardina, Unung
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.v6i1.178

Abstract

The future of education is aligned with advances in artificial intelligence (AI) technology that significantly change how we learn, teach, and manage educational systems. This article reviews the critical role of AI technology in improving the quality of education in the digital era. AI technology allows for better personalization of education according to each student's needs and interests and changes how teachers teach and students learn. By using machine learning algorithms and data analysis learning algorithms and data analysis, education systems can identify patterns in student learning behavior, predict individual needs, and provide timely interventions. The article also highlights the challenges and opportunities in implementing AI technology in schools, including data privacy concerns, digital divides, and new skills required by educators. By understanding AI technology's role in improving education quality, we can design a more inclusive, responsive, and effective education system for a better future.
The Effect of Market Power and Systematic Risk on Future Earnings Response Coefficient with Tax Compliance as a Moderation Santoso, Didit; Nuryatno, Muhammad
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.v5i3.191

Abstract

This study aims to analyze the influence of market power and systematic risk on the future earnings response coefficient (ERC), with tax compliance as a moderating factor. In this context, the study will examine how market power and systematic risk affect market reactions to future earnings, considering the role of tax compliance as a moderating factor. Relevant references for this study include factor analysis that influences ERC in financial sector companies, the influence of size, leverage, and profitability on FERC, and market response. Thus, this study will provide an in-depth understanding of how these factors are interrelated and impact market reactions to future earnings, with tax compliance as an important moderating factor. This study aims to analyze the influence of market power and systematic risk on the future earnings response coefficient (ERC), with tax compliance as a moderating factor. In this context, the study will examine how market power and systematic risk affect market reactions to future earnings, considering the role of tax compliance as a moderating factor. Relevant references for this study include factor analysis that influences ERC in financial sector companies, the influence of size, leverage, and profitability on FERC, and market response. Thus, this study will provide an in-depth understanding of how these factors are interrelated and impact market reactions to future earnings, with tax compliance as an important moderating factor.
Increasing Trust in AI with Explainable Artificial Intelligence (XAI): A Literature Review Nasien, Dewi; Adiya, M. Hasmil; Anggara, Devi Willeam; Baharum, Zirawani; Yacob, Azliza; Rahmadhani, Ummi Sri
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.v5i3.193

Abstract

Artificial Intelligence (AI) is one of the most versatile technologies ever to exist so far. Its application spans as wide as the mind can imagine: science, art, medicine, business, law, education, and more. Although very advanced, AI lacks one key aspect that makes its contribution to specific fields often limited, which is transparency. As it grows in complexity, the programming of AI is becoming too complex to comprehend, thus making its process a “black box” in which humans cannot trace how the result came about. This lack of transparency makes AI not auditable, unaccountable, and untrustworthy. With the development of XAI, AI can now play a more significant role in regulated and complex domains. For example, XAI improves risk assessment in?finance by making credit evaluation transparent. An essential application of?XAI is in medicine, where more clarity of decision-making increases reliability and accountability in diagnosis tools. Explainable Artificial Intelligence?(XAI) bridges this gap. It is?an approach that makes the process of AI algorithms comprehensible for people. Explainable Artificial Intelligence (XAI) is the bridge that closes this gap. It is a method that unveils the process behind AI algorithms comprehensibly to humans. This allows institutions to be more responsible in developing AI and for stakeholders to put more trust in AI. Owing to the development of XAI, the technology can now further its contributions in legally regulated and deeply profound fields.
Optimizing Digital Application Development Through Design Thinking: A Case Study of Finpay Partners at PT Finnet Indonesia Thahir, Nurhaya; Ghina, Astri
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.v6i1.194

Abstract

Mitra Finpay, a digital financial service application developed by PT. Finnet Indonesia, aims to support business management, particularly for Micro, Small, and Medium Enterprises (MSMEs). Launched in late 2020 and available on both the Play Store and App Store, the application has garnered a significant user base. However, active users remain minimal, and the app's rating lags behind competitors. Initial user interviews revealed discomfort and usability issues as key concerns. This study aims to identify and address user needs for Mitra Finpay by applying the design thinking methodology. Using a descriptive qualitative approach, data were gathered from external stakeholders (users) and internal stakeholders (developers and experts). The design thinking process comprised five stages: empathize, define, ideate, prototype, and test. During the empathize stage, interviews and observations were conducted to create user journey maps, empathy maps, and identify pain points. The define stage prioritized these problems and generated frameworks such as jobs-to-be-done, points of view, and "how might we" statements. Solutions were brainstormed during the ideate stage, focusing on user-centric features. The research resulted in a prototype featuring five new functionalities: onboarding, non-QRIS registration, AI-powered registration data verification, a non-QRIS dashboard, and QRIS registration. Usability testing scored the prototype at 86, deemed acceptable, with positive feedback from participants. Suggestions on onboarding, data completion forms, and dashboard design were promptly addressed, indicating a practical pathway for improving user experience and enhancing application adoption.
Implementation of Certainty Factor Method in Mental Health Diagnosis Expert System in Adolescents Aged 18 – 24 Years Desnelita, Yenny; Cesar, Mario; Gustientiedina, Gustientiedina; Hajjah, Alyauma; Putri, Ramalia Noratama
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.v6i1.195

Abstract

Mental health in adolescents aged 18-24 years is a real condition and a problem that has received less attention from parents or certain parties. Individual adolescents free from all forms of symptoms of mental disorders are one of the keys to maintaining a healthy body from mental health disorders . The group most vulnerable to mental health disorders is adolescents, where many adolescents do not receive the care they should from their parents. Expert systems can help solve problems in the field of mental health in adolescents aged 14-18 years as befits a psychiatrist by adopting expert knowledge into computers. This study aims to develop an expert system for diagnosing mental health disorders in adolescents aged 18-24 years using the Certainty Factor (CF) method by combining expert and user belief values in the diagnostic solutions provided later by the expert system. This study used five mental disorders in adolescents aged 18-24 years, namely depression, schizophrenia, bipolar, obsessive, anxiety disorders which were later given the weight of symptom beliefs and data on preventive solutions to the disease using the CF method . The results of the study are in the form of an expert system for diagnosing mental health in adolescents. using the CF method which displays the certainty value of expert knowledge diagnosis. Testing of the expert system application in this study uses the black-box method with valid test results used.
Digital Information Systems on Business Agility and Innovation in the Era of Industry 6.0 Mukhsin, Mukhsin; Tendra, Gusrio; Suhardjo, Suhardjo; Suharti, Suharti; Suyono, Suyono; Junaedi, Achmad Tavip; Andi, Andi; Putri, Novita Yulia; Augustine, Yvonne; Renaldo, Nicholas; Musa, Sulaiman; Cecilia, Cecilia
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.v6i1.204

Abstract

The primary objective of this study is to analyze the impact of advanced digital information systems on business agility and innovation within the industry 6.0 framework. Novelty in this research is to develop new dimension of digital information systems, business agility, and innovation. In this quantitative research, data will be collected using a structured questionnaire. The data will then be analyzed using Structural Equation Modeling. The sample size will be a minimum of 210 respondents, in accordance with SEM guidelines. The study confirms that Digital Information Systems (DIS) significantly improve Business Agility and that Business Agility positively influences Innovation. However, Digital Information Systems do not directly improve Innovation. Instead, Business Agility acts as a mediator, meaning that Digital Information Systems enhances Innovation indirectly through Business Agility. This finding highlights the indirect role of Digital Information Systems in fostering Innovation. Simply adopting digital systems is not enough to drive Innovation; rather, organizations must leverage these systems to enhance their agility, which in turn facilitates innovation. Future research should incorporate qualitative approaches (e.g., case studies, expert interviews) to better understand the mechanisms behind agility-driven innovation.
Automated Waste Classification Using YOLOv11 A Deep Learning Approach for Sustainable Recycling Nasien, Dewi; Adiya, M. Hasmil; Farkhan, Mochammad; Rahmadhani, Ummi Sri; Samah, Azurah A.
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.v6i1.205

Abstract

The rapid increase in waste generation due to urbanization and population growth has necessitated more efficient waste management solutions. Traditional waste sorting methods rely on manual labor, which is time-consuming, error-prone, and inefficient at large scales. This paper proposes an automated waste classification system using YOLOv11, the latest iteration of the YOLO family, which is known for its high speed and accuracy in object detection. By leveraging a custom dataset containing 10,464 labeled waste images from various categories—such as biodegradable, plastic, metal, paper, and glass—this study trains and evaluates a deep learning model capable of real-time waste identification and categorization. Experimental results demonstrate that YOLOv11 achieves high detection accuracy, with an overall classification accuracy of 94% and a mean average precision (mAP) exceeding previous methods. The model effectively differentiates between various waste types, though some misclassifications occur, particularly between visually similar materials like transparent plastic and glass. Performance metrics, including precision and recall, indicate the robustness of the proposed system in real-world applications. This research highlights the potential of YOLOv11 for integration into smart waste management systems, such as automated sorting machines and AI-powered recycling bins, to enhance efficiency and reduce environmental impact. Future work will focus on optimizing model performance by incorporating additional training data, applying advanced image augmentation techniques, and exploring hybrid approaches such as texture analysis and spectral imaging to improve classification accuracy. The implementation of this technology is expected to streamline waste recycling processes, minimize contamination in recyclable materials, and contribute to sustainable waste management practices.
Website Design of Madurejo Sleman's Pengklik Tourist Attraction Using the Waterfall Method Saputra, Tegar Satria Iman; Sholeh, Muhammad; Pranoto, Aji; Ariyana, Renna Yanwastika; Indriani, Putri
Journal of Applied Business and Technology Vol. 6 No. 2 (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.v6i2.169

Abstract

Website development is one of the important strategies in promoting tourist attractions and as an effort to improve access to information for tourists. This research aims to design and develop a website for Pengklik Madurejo tourist attraction, Sleman using the Waterfall method. This method was chosen because of its systematic and structured approach. The development stages begin with a needs analysis to identify the main features required, such as tourist attraction information, photo gallery, event schedule, and reservation system. Next, at the design stage, the system architecture and user interface were designed to provide an intuitive and engaging experience for users. Implementation is done by developing front-end and back-end components according to the design that has been made. Thorough testing is done to ensure the functionality, compatibility, and security of the website before launching. The development of this tourism website aims to improve the promotion and marketing of Pengklik tourist attraction. Pengklik tourist attraction is located in Madurejo Village, Sleman. The website displays various information about tourist attractions, MSME products, and activities or events that will be held. The results show that this website makes it easier for tourists and MSME players to obtain and disseminate information, as well as support the promotion and marketing of local products. The use of the website is expected to encourage economic growth in the area and increase the reach and involvement of users.
Unlocking Consumer Behavior: The Interplay of Marketing Mix and Hygiene Perceptions in Kembar Water's Market Success Purwati, Astri Ayu; Kurniawan, Eka; Chandra, Teddy; Deli, Mazzlida Mat; Hamzah, Muhammad Luthfi; Abdullah, Siti Intan Nurdiana Wong
Journal of Applied Business and Technology Vol. 6 No. 2 (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.v6i2.197

Abstract

This study aims to examine the impact of marketing mix strategy and hygienic perception on consumer trust and purchase decisions for Kembar Water, a bottled drinking water (AMDK) brand. The target population for this research includes consumers who have purchased Kembar Water products. From a total population of 380 consumers, a sample size of 100 respondents was determined using the Slovin formula. Random sampling was employed as the sampling technique. Data were collected through institutional documentation and online questionnaires distributed via Google Forms. The data analysis techniques included descriptive analysis and Structural Equation Modeling (SEM) using Smart PLS software. The findings of the study reveal that: (1) The marketing mix strategy variable does not significantly influence consumer trust. (2) The hygienic perception variable has a positive and significant impact on consumer trust. (3) The marketing mix strategy variable does not significantly affect consumer purchase decisions. (4) The hygienic perception variable positively and significantly influences consumer purchase decisions. (5) The consumer trust variable has a positive and significant effect on consumer purchase decisions.
Information Asymmetry Moderates the Impact of Green Intellectual Capital and Real Earnings Management on Future Stock Returns Murwaningsari, Etty; Sistya Rachmawati; Mazzlida Mat Deli
Journal of Applied Business and Technology Vol. 6 No. 2 (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.v6i2.200

Abstract

The aim of this study is to (1) analyze the impact of green intellectual capital and real earnings management on future stock returns. (2) The role of information asymmetry as a moderating variable for the impact of green intellectual capital and real profit management on future stock returns. This research method uses secondary data from companies in the non-cyclical consumer sector listed on the Indonesian Stock Exchange (BEI). The research sample was selected in the period 2021-2022 based on purposive sampling criteria–, resulting in 158 observations. The data analysis was performed using the moderated regression analysis (MRA) approach to test the relationship between the variables in this study. The results of this investigation show that: (1) Green intellectual capital and real earnings management have a positive impact on future stock returns. (2) Information asymmetry does not weaken the relationship between green intellectual capital and future stock returns, so that it is classified as a moderating predictor. On the other hand, information asymmetry is shown to attenuate the impact of real earnings management on future stock returns, indicating that this variable acts as a full moderator. (3) The control variable leverage has no effect on future stock returns, while firm size has a negative effect on future stock returns.

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