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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Journal of Economic, Bussines and Accounting (COSTING) Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) PREPOTIF : Jurnal Kesehatan Masyarakat CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Enrichment : Journal of Management Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Manajemen Retail Indonesia (JMARI) Transekonomika : Akuntansi, Bisnis dan Keuangan Startupreneur Business Digital (SABDA Journal) Journal Research of Social Science, Economics, and Management Journal of Economics and Management Scienties International Transactions on Education Technology (ITEE) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Sunarjo, Richard Andre
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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ANTESEDEN DARI USER SATISFACTION SERTA DAMPAKNYA TERHADAP REUSE INTENTION DAN E-WOM PADA PENGGUNA APLIKASI HALODOC GENERASI Z Fitkarani, Ory Laras; Ardi, Ardi; Sunarjo, Richard Andre; Wuisan, Dewi
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/nk2z5f69

Abstract

Penelitian ini bertujuan untuk menganalisis anteseden dari user satisfaction serta dampaknya terhadap reuse intention dan electronic word of mouth (e-WOM) pada pengguna aplikasi Halodoc dari kalangan Generasi Z. Variabel-variabel anteseden yang diteliti meliputi content quality, engagement, privacy, reliability, dan usability. Variabel user satisfaction berperan sebagai variabel mediasi, sedangkan health consciousness diuji sebagai variabel pemoderasi. Penelitian ini merupakan studi potong lintang dengan pendekatan kuantitatif. Data dikumpulkan melalui penyebaran kuesioner daring yang disusun berdasarkan skala Likert dan diisi oleh 99 responden pengguna Halodoc berusia 13–28 tahun (Generasi Z). Teknik analisis data menggunakan metode Partial Least Squares – Structural Equation Modeling (PLS-SEM) dengan bantuan perangkat lunak SmartPLS 4. Hasil analisis menunjukkan bahwa tidak seluruh anteseden memiliki pengaruh positif signifikan terhadap user satisfaction. Selain itu, user satisfaction juga berpengaruh positif terhadap reuse intention dan e-WOM. Pengujian variabel moderasi menunjukkan bahwa health consciousness terbukti memoderasi hubungan antara user satisfaction dan reuse intention, namun tidak memoderasi secara signifikan hubungan antara user satisfaction dan e-WOM. Temuan ini memberikan implikasi praktis bagi pengembang aplikasi kesehatan digital untuk meningkatkan kualitas layanan dan kepuasan pengguna demi mendorong keberlanjutan penggunaan dan promosi dari mulut ke mulut secara digital.
Analysis of factors that influence adaptive performance at PT XYZ Saskia Putri, Raditya; Ardi, Ardi; Sunarjo, Richard Andre
Enrichment : Journal of Management Vol. 13 No. 6 (2024): February
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i6.1822

Abstract

Technological advancements have ushered in transformative changes in industrial competition and work methodologies, significantly impacting employees who must adapt to these shifts. This study investigates the dynamics of perceived organizational support, job crafting, and job burnout, exploring their collective influence on adaptive performance with work engagement as a mediating factor at PT XYZ. The quantitative research, encompassing 40 employees at PT XYZ, employs the SEM-PLS analysis technique. The findings affirm the acceptance of all hypotheses, underscoring the substantial impact of job crafting, job burnout, and work engagement on adaptive performance. Equally noteworthy is the confirmed significant influence of perceived organizational support on job crafting, job burnout, and work engagement. This intricate interplay of variables unravels essential insights into the organizational dynamics at PT XYZ, shedding light on strategies to enhance employee adaptability and overall performance. In conclusion, this research not only validates the interconnected influence of perceived organizational support, job crafting, and job burnout on adaptive performance but also underscores the mediating role of work engagement. These insights contribute to the understanding of organizational behavior, offering practical implications for cultivating a positive work culture that fosters adaptability and employee effectiveness, particularly in the ever-evolving landscape of technological advancements at PT XYZ.
The influence of transformational leadership, talent management, and organizational culture on change management in the international non-profit organization Mailangkay, Merry Mersia Gristie; Ardi, Ardi; Sunarjo, Richard Andre
Enrichment : Journal of Management Vol. 14 No. 2 (2024): June: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v14i2.1912

Abstract

Transformational leadership suggests that inspiring and motivating leaders are more likely to facilitate successful organizational change. Talent management emphasizes the importance of attracting, developing, and retaining skilled individuals during change. Organizational culture, representing shared values and practices, also plays a crucial role in shaping employee attitudes towards change. The Objective of this study to analyse the influence of transformational leadership, talent management, and organizational culture on change management in international non-profit organizations XYZ in Indonesia. This research methodology employs a quantitative approach by using a questionnaire distributed to 36 respondents consisting of managers and employees in the international nonprofit organization XYZ in Indonesia. The collected data will be analysed using the PLS-SEM method to test the relationship between the independent variables (transformational leadership, talent management, and organizational culture) and the dependent variable (change management). The findings of this study highlight the importance of talent management and organizational culture in driving change management within international non-profit organizations in Indonesia, while also indicating that transformational leadership does not significantly impact change management. This research provides valuable insights for practitioners and managers on the importance of inspirational and motivational leaders who involve employees in decision-making and leverage their skills, while also building a flexible and adaptive organizational culture to effectively manage complex changes
Digital Onboarding in Agricultural Platforms and its Impact on Agricultural Productivity Sunarjo, Richard Andre; Pujiati, Tri; Apriliasari, Dwi; Hardini, Marviola
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 2 (2025): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i2.688

Abstract

This study explores the transformative role of digital onboarding in the agricultural sector, emphasizing its potential to bridge the digital divide, enhance productivity, and promote sustainability. By integrating advanced technologies such as Artificial Intelligence (AI), blockchain, and the Internet of Things (IoT), digital onboarding provides a pathway for stakeholders to adopt precision agriculture. It also helps overcome key obstacles such as limited digital skills and unequal access to tools or infrastructure. The research extends digital ecosystem theory by framing onboarding as a practical pathway for building inclusive and resilient farming systems. It highlights the importance of integrating technological innovations with policy frameworks and capacity building initiatives to ensure equitable benefits for smallholder farmers and marginalized groups. A qualitative and analytical approach was employed, synthesizing insights from scientific literature, case studies, and expert reviews. The study examines global agricultural digital platforms such as Estagrx to evaluate the effectiveness of digital onboarding strategies in diverse geographical and socio- economic contexts. Findings reveal that digital onboarding strengthens agricultural system robustness by enhancing stakeholder engagement, improving supply chain transparency, and optimizing resource utilization. Additionally, it supports sustainable agricultural practices through precision techniques that reduce wastage and conserve resources. The study concludes that addressing barriers such as cultural resistance and socioeconomic disparities requires collaborative efforts among governments, private sectors, and international organizations to scale digital solutions for agriculture effectively.
Designing an AI-Based Expert System to Enhance Standard Language Use on Social Media Aini, Qurotul; Naurah, Syahla; Bist, Ankur Singh; Sunarjo, Richard Andre; Novitasari, Dewiana; Sasono, Ipang; Apriliasari, Dwi
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.788

Abstract

The widespread use of social media has significantly transformed the way people communicate, often leading to informal, shortened, and mixed-language expressions that deviate from standard linguistic norms. This phenomenon raises concerns about the erosion of proper language usage, particularly among younger generations. This study aims to design an AI-based expert system to support and improve the use of standard Indonesian on digital communication platforms. By integrating language rules into a decision-support model, the system can provide real-time feedback on grammar, spelling, and appropriate word usage during online interactions. This research adopts a qualitative approach through literature review and system design framework, emphasizing the need for intelligent linguistic assistance tools. The proposed expert system will be capable of analyzing user-generated content, detecting deviations from formal language standards, and offering suggestions or corrections. The findings contribute to ongoing efforts to preserve national language identity in the digital age and promote linguistic awareness through technology. Ultimately, this study offers an innovative solution to bridge the gap between informal digital trends and the preservation of standard language, encouraging responsible and high-quality communication in the modern digital ecosystem.
Utilizing Generative AI Models in Architectural Design An Innovative Approach Palupi Meilani, Yohana F. Cahya; Rohim, Rohim; Rozi, Achmad; Sunarjo, Richard Andre; Moyo, Kgomotso
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/wg15r798

Abstract

In the context of modern architectural design that demands innovation, speed, and efficiency, the emergence of generative artificial intelligence (AI) introduces a new paradigm in the creative process. This technology enables architects to explore design ideas more rapidly and extensively through diffusion-based algorithms capable of producing complex architectural visuals in a short amount of time. This study aims to empirically evaluate the effectiveness and efficiency of generative AI models, particularly Stable Diffusion v2.1, in supporting the stages of ideation, sketching, and architectural modeling. The research employs both qualitative and quantitative approaches through a comparative experiment between manual design and AI-assisted design. Measurements were conducted using four main parameters: production time, visual complexity, rendering sharpness, and the number of design iterations. The results indicate that the generative AI model can accelerate production time by up to 35% greater efficiency compared to the manual method. Furthermore, the Visual Complexity Score (VCS) reached 8.5/10 for AI-generated designs and 6.2/10 for manual ones, with an increase in rendering resolution up to 450 PPI. However, limitations were observed in semantic interpretation and the model’s dependence on well-crafted prompts. This study concludes that the integration of generative AI in architectural design not only enhances the efficiency and effectiveness of the design process but also expands the creative potential of architects. The research contributes to the development of sustainable digital architecture and supports the achievement of SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities). 
Pengaruh Sistem Pengendalian Manajemen Terhadap Integrasi Rantai Pasok Rumah Sakit Serta Dampaknya terhadap Kinerja Rantai Pasok Rumah Sakit Muthohharoh, Viera Dzakiyyah; Ardi; Surya Wuisan, Dewi Sri; Sunarjo, Richard Andre
JURNAL MANAJEMEN PENDIDIKAN DAN ILMU SOSIAL Vol. 6 No. 6 (2025): Jurnal Manajemen Pendidikan dan Ilmu Sosial (Oktober-November 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpis.v6i6.6061

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh management control system terhadap healthcare supply chain performance dengan hospital supply chain integration sebagai variabel mediasi, dalam konteks operasional rumah sakit swasta. Variabel yang diusulkan dalam pemodelan ini meliputi management control system, yaitu broad scope, timeliness, integration, dan aggregation. Seluruh dimensi healthcare supply chain performance yang diuji mencakup cost effectiveness, utilization of hospital assets, supply chain flexibility, serta supply chain quality and speed of delivery. Penelitian ini menggunakan metode cross-sectional dengan instrumen kuesioner untuk mengumpulkan data dari tenaga medis dan staf nonmedis yang terlibat dalam sistem rantai pasok di rumah sakit. Analisis data multivariat dilakukan menggunakan metode statistik PLS-SEM. Dengan teknik total sampling, terkumpul 50 responden dari satu rumah sakit swasta di Jawa Barat, Indonesia. Data dianalisis menggunakan perangkat lunak SmartPLS 4. Hasil pengolahan data menunjukkan bahwa tiga dari empat management control system, yaitu broad scope, integration, dan aggregation, memiliki efek positif terhadap hospital supply chain integration. Efek terbesar diperoleh pada integration (standardized coefficient = 0,322; f² = 0,150). Sementara itu, timeliness tidak menunjukkan efek signifikan. Temuan ini memberikan implikasi manajerial untuk memperkuat integrasi sistem informasi dan penyajian data agregat lintas fungsi guna meningkatkan kinerja rantai pasok rumah sakit. Selain itu, hospital supply chain integration terbukti memiliki pengaruh signifikan terhadap seluruh dimensi healthcare supply chain performance. Model penelitian ini menunjukkan kemampuan eksploratori dan prediktif yang memadai dalam menjelaskan hubungan antarvariabel dalam konteks manajemen rantai pasok rumah sakit.
The Effect of Transactional Leadership, Compensation, and Organization Culture on Employee Performance with Work Motivation as a Mediating Variable Catherin, Febrina Claudia; Ardi, Ardi; Sunarjo, Richard Andre
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 5 No. 1 (2025): January 2025
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v5i1.847

Abstract

This research investigates how transactional leadership, compensation, and organizational culture at Hotel XYZ influence employee performance, with work motivation playing a role as a mediator. A quantitative approach was employed, involving a questionnaire survey of 110 Hotel XYZ employees in Makassar. Data analysis was conducted using the SEM-PLS technique. The findings suggest that transactional leadership does not have a notable impact on employee performance, but compensation and organizational culture play a significant role. Additionally, it is evident that work motivation serves as a mediator for the relationship between organizational culture and employee performance. This research benefits Hotel XYZ by informing strategies to enhance employee performance through a focus on developing organizational culture and work motivation.
Workplace Digitalization and HR Innovation in the Era of Industry 5.0 Meria, Lista; Sunarjo, Richard Andre; Andayani, Dwi; Toh Hua, Chua
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/86sbgy17

Abstract

This study investigates the impact of workplace digitalization on human resource (HR) innovation within the context of Industry 5.0. While Industry 4.0 empha- sized automation, Industry 5.0 highlights the synergy between advanced tech- nologies and human-centric practices. To analyze this relationship, a survey was conducted involving 150 HR professionals across multiple industries in Indonesia, focusing on the adoption of digital HR tools and innovative practices. The findings reveal that workplace digitalization has a positive and significant ef- fect on HR innovation (β = 0.52, p < 0.01), particularly in recruitment, digital training, and performance management. However, barriers such as employee resistance and cybersecurity risks negatively moderate this relationship. This re- search contributes to the literature by linking digital transformation to HR prac- tices in the Industry 5.0 era and offers practical implications for managers in improving organizational readiness through digital HR innovation.
The Role of Natural Language Processing in Enhancing Chatbot Effectiveness for E-Government Services Siahaan, Mungkap Mangapul; Sunarjo, Richard Andre; Sebastian, Rizky; Wahid, Syahrul Muarif
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.71

Abstract

The rapid digital transformation of public administration has led to the adoption of (B) Natural Language Processing (NLP)-powered chatbots to enhance the accessibility, efficiency, and responsiveness of (O) e-government services. However, despite their increasing deployment, many government chatbots still struggle with intent recognition, response accuracy, multilingual processing, and user engagement, limiting their effectiveness. This study investigates (M) the role of NLP in improving chatbot performance within e-government services by evaluating four case studies: Ask Jamie (Singapore), UK Government Digital Assistant, MyGov Corona Helpdesk (India), and Gov.sg Chatbot. Using a mixed-methods approach, this research assesses chatbot effectiveness based on accuracy, response time, query resolution rate, and user satisfaction metrics. The findings indicate that (R) NLP-driven chatbots significantly outperform rule-based systems, with higher accuracy (up to 89%), faster response times (~2.1 seconds), and improved query resolution rates (92%), demonstrating their capacity to automate public service delivery efficiently. However, key challenges remain, including bias in NLP models, data privacy concerns, and the difficulty of integrating NLP chatbots into legacy IT infrastructures. Additionally, multilingual processing remains a limitation, affecting inclusivity for diverse populations. To overcome these challenges, this study proposes advancements in adaptive NLP models, real-time learning algorithms, ethical AI frameworks, and blockchain-based security solutions to ensure fair, secure, and transparent chatbot interactions in digital governance. These findings contribute to the growing body of research on AI-driven public service automation and highlight the potential of NLP to enhance (C) citizen-government interactions, reduce administrative burdens, and improve trust in e-government platforms. Future research should focus on bias mitigation, improving multilingual NLP capabilities, and integrating AI ethics into chatbot governance frameworks to ensure sustainable, scalable, and citizen-centric e-government chatbot solutions.
Co-Authors Abas Sunarya Abbas, Maulana Al-Kamari, Omar Arif Alwiyah Alwiyah Anjani, Sheila Aulia Apriliasari, Dwi Aprillia, Ariesya Ardi Ardi Ardi Awhina, Ridan Ahsani Te Baedowi, Hikmal Berlianto, Margaretha Pink Bist, Ankur Singh Catherin, Febrina Claudia Chandra Kuswoyo Choi, Lee Kyung Delila Delima, Eva Lisna Dwi Andayani, Dwi Fitkarani, Ory Laras Fitriani, Gaby Gulo, Nitema Ilham, Muhammad Ghifari Irma Shantilawati Khairunnisa, Novita Khanza, Aulia Kristiawan, Allen Mailangkay, Merry Mersia Gristie Marviola Hardini Maulana, Sabda Meria, Lista Mestika, Gelar Gelora Mochamad Heru Riza Chakim Moyo, Kgomotso Muhammad Yusup Mungkap Mangapul Siahaan Muthohharoh, Viera Dzakiyyah Naurah, Syahla Ninda Lutfiani Novitasari, Dewiana Palupi Meilani, Yohana F. Cahya Pandia, Nadia Erlikasna B. R. Parker, Jonathan Partogi, Chris Periyanto, Toni Phetorant, DJ. Dimas Pujiati, Tri Purba, Stefanus Raditya Purnama, Ika Yuni Qurotul Aini Radhika, Raka Daniswara Rahardja, Fransisca Rakhmansyah, Mohamad Riskhandini, Dinda Putri Robert, Dariari Rohim Rohim, Rohim Rozi, Achmad Sabda Maulana Saskia Putri, Raditya Sasono, Ipang Sebastian, Rizky Shepard, Anjani Simowibowo, Suryana Litana Somadinata, Nurul Irba Suri, Oryza Intan Surya Wuisan, Dewi Sri Teresia, Monika Toh Hua, Chua Untung Rahardja Wahid, Syahrul MuArif Wandanaya, Anita Bawaiqki Wijaya, Rizky Charles Wuisan, Dewi