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JOT
Published by Sinar Mentari Sundara
ISSN : 31632653     EISSN : 31632645     DOI : https://doi.org/10.68012/jot
Core Subject :
Journal of Orange Technology (JOT) is an international, quarterly, open-access journal. It is positioned to be indexed by Scopus in the categories of Computer Science (Applications), Engineering (Biomedical), Psychology (Applied), and Social Sciences (Health). Aspiring to achieve a Q1 ranking in Scopus across these interdisciplinary fields, JOT aims to establish itself as a premier global platform for humanistic innovation. The journal delivers groundbreaking, high-quality research at the dynamic crossroads of technology, empathy, and societal care. Designed for academicians, graduate students, industry practitioners, policymakers, and interdisciplinary researchers in fields like engineering, psychology, and ethics, JOT provides an unparalleled venue for sparking transformative ideas and collaborative discussions. Every submission undergoes a meticulous double-blind peer-review process, ensuring rigor, integrity, and credibility, with all accepted works made freely accessible online as open-access content to inspire a worldwide audience and maximize global impact.
Arjuna Subject : -
Articles 24 Documents
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Empirical Studies on the Relationship Between Wearable Stress Detection and Workplace Productivity Kristoko Dwi Hartomo; Muhammad Zaki; Gilang Kartika Hanum; Nur Silawati; Adele Valerry
Journal of Orange Technology Vol. 1 No. 1 (2024): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i1.1

Abstract

Workplace stress has been widely recognized as a critical factor influencing employee health, performance, and organizational outcomes. Recent advancements in wearable technologies provide real-time physiological data that open new opportunities for monitoring and managing stress in professional settings. This study aims to empirically investigate the relationship between wearable-based stress detection and workplace productivity, focusing on how continuous monitoring can enhance well-being and performance. A quantitative approach was employed with 250 participants across three corporate sectors, where wearable devices measured physiological indicators such as heart rate variability and skin conductance, while productivity was assessed through task completion rates and self-reported efficiency. Statistical analyses, including correlation, regression, and moderation analysis, were conducted to examine the strength of associations. Findings reveal a significant negative correlation between elevated stress levels and productivity metrics, while participants using wearable feedback interventions demonstrated improved stress awareness and a 15% increase in task efficiency compared to the control group. In conclusion, wearable stress detection presents a promising tool for enhancing workplace productivity by enabling proactive stress management, highlighting the importance of integrating technology, psychology, and organizational practices to foster healthier and more effective work environments.
Beyond the Algorithm A Review of User Experiences and Attitudes Toward Emotional Wellbeing Technologies Richardus Eko Indrajit; Iswara Gandhi; Untung Rahardja; Meriyana Sunengsih; Kgomotso Moyo
Journal of Orange Technology Vol. 1 No. 1 (2024): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i1.2

Abstract

The escalating prevalence of stress, anxiety, and emotional dysregulation in an increasingly digitized society underscores the critical need for technological interventions that support psychological well-being. While the field of affective and positive computing has made significant strides in algorithmic development and technical efficacy, a holistic understanding of user perception and lived experience remains fragmented within the existing body of literature. This paper addresses this gap by presenting a narrative synthesis of ten seminal studies that explore the human centric dimensions of engaging with emotional well-being technologies. Our review reveals that user perceptions are intricately shaped by three recurring themes including the perceived credibility of a system’s emotion-recognition capabilities, concerns surrounding data privacy and control, and the fundamental distinction between viewing technology as a tool for personal empowerment versus a replacement for human connection. These themes collectively highlight a critical divergence between the technical promise and the psychological realities of affective technology. In conclusion, this synthesis provides a nuanced understanding of user attitudes that transcends purely algorithmic metrics. It offers valuable theoretical contributions to the field of human-computer interaction and provides practical implications for designing more empathetic, transparent, and ethically-aligned digital mental health tools that genuinely foster resilience and positive human experience.
Smart Urban Mental Health Mapping through IoT Sensor Networks and AI Analysis Laras Sitoay; Muhamad Viktor A Sin; Sugeng Riyadi; Mardaleni Daeli; Jonathan Parker
Journal of Orange Technology Vol. 1 No. 1 (2024): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i1.6

Abstract

Urban mental health is increasingly challenged by environmental stressors such as noise pollution, high population density, and air quality degradation. This study proposes an integrated framework combining Internet of Things (IoT) sensor networks with artificial intelligence (AI) analytics to monitor and predict mental health outcomes across metropolitan districts. A total of 300 participants from three urban areas contributed self-reported psychological data, which were combined with real-time environmental measurements including noise, air quality, temperature, humidity, and pedestrian density. Quantitative analyses, including correlation, multiple regression, and AI-based predictive modeling, revealed that noise and crowd density were the strongest predictors of elevated stress, while green spaces and improved air quality were positively associated with mood. The predictive models achieved 15–20% higher accuracy than survey-only models, and mapping of high-risk zones aligned with actual mental health service usage. These findings demonstrate the potential of IoT and AI-driven approaches to provide actionable insights for policymakers, urban planners, and healthcare providers. Future research should expand longitudinal and cross-city validation, integrate additional environmental and social indicators, and explore real-time interventions to create resilient and human-centered urban environments.
Human Centered Affective Computing Models for Positive Emotional Health Agung Dharmawan Buchdadi; Sri Wahyuningsih; Yessy Oktavyanti; Ester Ananda Natalia; Henry Zainarthur
Journal of Orange Technology Vol. 1 No. 1 (2024): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i1.7

Abstract

The increasing prevalence of stress, anxiety, and emotional imbalance in digital society highlights the importance of designing computational systems that not only process information but also support psychological resilience, forming the background of this study. With this in mind, the objective of the research is to explore and develop affective and positive computing algorithms and interfaces capable of fostering emotional wellbeing through adaptive interaction strategies. To achieve this, the method combines literature review, algorithmic design, and prototype evaluation using affective data such as facial expression, voice tone, and physiological signals, which are analyzed through machine learning models and integrated into interactive interface prototypes. The results indicate that the proposed algorithms successfully recognize emotional states with higher accuracy than baseline models, while the interfaces provide feedback and adaptive interventions that enhance users’ sense of calmness, engagement, and positive affect during interaction sessions. Moreover, experimental validation suggests that the system can dynamically adjust its responses to individual emotional patterns, leading to more personalized and effective support for wellbeing. In conclusion, this research demonstrates that affective and positive computing can be meaningfully integrated into algorithmic frameworks and interface design to promote emotional health, offering not only theoretical contributions to the field of human-computer interaction but also practical implications for digital mental health tools that encourage resilience and positive experiences in everyday life.
Sentiment Aware Chatbots as Companions for Reducing Loneliness through Positive Computing Heni Nurhaeni; Sandy Kosasi; Made Bunga Thalia; Elisa Ananda Natalia; John Edwards
Journal of Orange Technology Vol. 1 No. 1 (2024): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i1.10

Abstract

Loneliness has increasingly emerged as a global mental health concern, particularly among vulnerable populations such as the elderly, students in remote learning environments, and individuals experiencing social isolation in urban societies. Advances in affective and positive computing offer promising solutions for addressing these challenges by creating empathetic digital companions capable of responding to human emotions in real time. This study aims to evaluate the effectiveness of sentiment-aware chatbots as digital companions in reducing loneliness and enhancing emotional well-being through positive computing principles. A quantitative experimental approach was employed, integrating sentiment analysis algorithms with Natural Language Processing (NLP) to detect emotional cues from user input and generate empathetic responses. The chatbot system was tested with 150 participants over a six-week period using standardized psychometric instruments, including the UCLA Loneliness Scale and the WHO-5 Well-Being Index. Statistical analysis using paired-sample t-tests, ANOVA, and Structural Equation Modeling (SEM) revealed significant improvements in loneliness reduction and psychological well-being among participants interacting with the sentiment-aware chatbot. Furthermore, perceived empathy and user satisfaction were found to mediate these effects, highlighting the emotional quality of human AI interaction as a crucial determinant of positive outcomes. Findings provide empirical evidence that sentiment-aware chatbots can function as effective digital companions, reducing loneliness and fostering psychological resilience. By integrating affective and positive computing principles, this study contributes to the advancement of compassionate AI systems designed to promote human well-being and support broader societal goals.
Design and Evaluation of Emotionally Adaptive Chatbots to Promote Positive Mental Well-Being in Young Adults Novi Indah Susanthi; Muhammad Fadheel Djamaly; Anandha Fitriani; Mardiana Mardiana; Chua Toh Hua
Journal of Orange Technology Vol. 1 No. 2 (2025): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i2.14

Abstract

The increasing prevalence of mental health challenges among young adults has driven growing interest in affective computing technologies that foster emotional support and psychological well-being. This study aims to design and evaluate an emotionally adaptive chatbot that promotes positive mental well-being through empathetic and user-centered interactions. Grounded in affective and positive computing frameworks, this research examines the influence of Emotion-Adaptive Capability, Perceived Empathy of the Chatbot, and Usability & Interaction Quality on Positive Mental Well-Being. A quantitative approach was employed by distributing an online questionnaire to young adult respondents who had interacted with emotion-aware chatbot systems. The collected data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS to test the hypothesized relationships. The results are expected to demonstrate that chatbots with higher emotional adaptability, greater perceived empathy, and better usability significantly enhance users’ psychological well-being. This study contributes to the development of human-centered affective computing by providing empirical evidence on how emotionally intelligent chatbot design can positively influence mental health outcomes. The findings offer practical implications for designers and developers aiming to create AI systems that are not only functional but also emotionally supportive and aligned with humanistic technology values.
Enhancing Academic Wellbeing through Empathic Digital Attendance Systems using UTAUT Approach Oscar Jayanagara; Ika Yuni Purnama; Meri Mayang Sari; Sheila Aulia Anjani; Carlos Perez
Journal of Orange Technology Vol. 1 No. 2 (2025): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i2.15

Abstract

The increasing integration of information technology in higher education has transformed various academic processes, including attendance monitoring. Online attendance systems are gaining traction as institutions seek greater accuracy, transparency, and operational efficiency in managing student participation. This study aims to analyze how the use of an online attendance system influences student attendance performance within the framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). It explores key determinants that shape user acceptance and behavioral responses toward the system. A quantitative case study was conducted at a higher education institution, involving students and academic staff who actively used the system. Data were collected through structured questionnaires and analyzed using statistical techniques to examine the relationships among system usage, perceived usefulness, ease of use, and attendance performance. The findings reveal that the online attendance system significantly improves student attendance performance by enhancing consistency, reducing manual errors, and encouraging timely participation. Perceived usefulness and ease of use were found to mediate the relationship between system usage and attendance outcomes, demonstrating the system’s practical and motivational impact. This study underscores the vital role of digital solutions in strengthening attendance management and promoting user compliance. The results offer valuable guidance for institutions seeking to optimize online attendance systems. Future research should involve broader samples and comparative institutional settings to generate more comprehensive insights.
Examining the Effects of Innovation Access Safety and Sustainability Practices on Global Health Outcomes Marviola Hardini; Magda Siahaan; Ihsan Nuril Hikam; Tuti Nurhaeni; Kristina Vaher
Journal of Orange Technology Vol. 1 No. 2 (2025): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i2.20

Abstract

Pharmaceutical innovation plays a critical role in improving global health outcomes by enabling the development of advanced medicines, vaccines, and healthcare technologies. However, the benefits of innovation are not solely determined by technological advancement but are also influenced by access, safety, and sustainability practices within pharmaceutical systems. This study aims to quantitatively examine the effects of innovation adoption, access and equity, pharmaceutical safety, and sustainability practices on global health impact, as well as to investigate the mediating role of pharmaceutical safety in the relationship between innovation adoption and global health outcomes. Using secondary data obtained from international health and development organizations, this study applies PLS-SEM with SmartPLS to test the proposed research model. The findings indicate that innovation adoption, access and equity, pharmaceutical safety, and sustainability practices each have a positive and significant effect on global health impact. Furthermore, pharmaceutical safety is found to partially mediate the relationship between innovation adoption and global health impact, highlighting the importance of robust safety mechanisms in translating innovation into meaningful health benefits. This study contributes to the literature by integrating innovation, equity, safety, and sustainability into a unified empirical framework and offers policy-relevant insights for strengthening global pharmaceutical systems to achieve equitable and sustainable health outcomes.
Grant Submission Monitoring System Based on Orange Technology Using Laravel 12 and Vue.js Indira Puspa Gustiah; Ninda Lutfiani; Muhamad Rapidan Kusuma; Etty Puji Lestari; Thomas Green
Journal of Orange Technology Vol. 1 No. 2 (2025): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i2.24

Abstract

The development of effective digital systems for managing research and community service grants is essential to ensure transparency, administrative efficiency, and user comfort within academic environments. However, many institutions still rely on manual processes or outdated platforms, resulting in unclear progress tracking, slow information updates, and increased emotional stress for lecturers as proposal authors. This study proposes a Grant Submission Monitoring System based on Orange Technology, an approach that emphasizes human-centered design, emotional well-being, and socially responsible innovation. The system was developed using the SDLC Waterfall model, employing Laravel 12 as a secure and high-performance backend framework and Vue.js to deliver an interactive Single Page Application (SPA) interface. Functional validation was conducted through Black Box Testing to ensure accuracy and reliability across all modules. The resulting system provides real-time notifications, structured visualization of proposal stages, and faster administrative processing, reducing delays by up to 40% compared to traditional methods. The SPA architecture enables a responsive experience with an average content rendering time of approximately 150 ms after initial load, supporting seamless user interaction. Feedback from lecturers indicates reduced uncertainty, increased trust, and greater emotional comfort due to clearer information flow and improved interface intuitiveness. Overall, the system demonstrates how Orange Technology principles can be integrated into academic information systems to create solutions that are not only efficient and transparent but also supportive of user well-being. This approach offers a scalable foundation for enhancing institutional governance and strengthening digital services across diverse educational contexts.
Inclusive AI Interaction Framework for Enhancing Happiness and Care within Orange Technology Applications Adam Faturahman; Hamdan Hamdan; Muhammad Faizal Fazri; Untung Rahardja; Adele Vallery
Journal of Orange Technology Vol. 2 No. 1 (2025): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i1.32

Abstract

This study introduces an Inclusive AI Interaction Framework designed to enhance happiness, emotional well-being, and compassionate digital care through the integration of emotion-aware algorithms, adaptive conversational models, and accessibility-centered interface design. The framework prioritizes inclusivity by addressing diverse user abilities, cultural backgrounds, and emotional states, ensuring that AI interactions remain fair, empathetic, and supportive for broad user groups, including vulnerable populations. The study aims to examine how personalized and affectively responsive AI interactions influence emotional comfort, perceived empathy, trust, satisfaction, emotional stability, and sustained engagement among diverse users. A quantitative research design was employed, using structured questionnaires, multimodal sentiment-based rating scales, and standardized World Health Organization WHO-5 well-being measures to evaluate user well-being. SEM was applied to validate the relationships among core constructs and assess the impact of inclusive AI design on affective outcomes. The analysis revealed significant positive effects of inclusively designed, emotion-sensitive AI systems on affective outcomes, including trust, satisfaction, emotional stability, and overall emotional comfort. The findings demonstrate that inclusively designed, emotion-sensitive AI systems can meaningfully elevate user well-being. This research provides empirically grounded design principles and practical insights for developing emotionally supportive, ethically aligned, and universally accessible AI solutions that contribute to more humane digital experiences.

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