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TOWARD CLIMATE-RESILIENT FORESTRY POLICIES: EVIDENCE-BASED POLICY ANALYSIS IN INDONESIA Clara Mendes; Bruna Costa; Livia Alves
Journal of Selvicoltura Asean Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v3i1.3545

Abstract

Indonesia’s tropical forests face increasing threats from climate change, deforestation, and unsustainable land use, creating urgency for adaptive and resilient forestry policies. Existing regulations often lack integration of empirical evidence and climate risk considerations, resulting in suboptimal governance outcomes. Understanding the effectiveness of policy interventions is critical for enhancing forest resilience and mitigating environmental and socio-economic impacts. This study aims to evaluate the effectiveness of Indonesia’s forestry policies through an evidence-based lens, emphasizing climate resilience, legal frameworks, and participatory governance. The research investigates how policy design and implementation align with environmental, social, and technological factors that influence forest sustainability. A mixed-methods approach was employed, combining quantitative analysis of deforestation rates, forest cover data, and climate vulnerability indicators with qualitative assessments from policy document reviews, stakeholder interviews, and expert consultations. Triangulation of data sources provided a robust evaluation of policy outcomes and implementation challenges. Results indicate that policies incorporating climate adaptation strategies, technological monitoring, and participatory mechanisms achieve higher effectiveness in sustaining forest cover and reducing illegal activities. Gaps remain in enforcement, institutional coordination, and local stakeholder engagement, highlighting areas for improvement. Evidence supports the integration of adaptive, evidence-based, and participatory approaches into national forestry policies to enhance climate resilience and sustainable forest management. Findings provide actionable guidance for policymakers, practitioners, and international partners in tropical forest governance.
APPLYING FORENSIC PSYCHOLOGY PRINCIPLES TO CHILD BEHAVIOR ASSESSMENT AND EARLY INTERVENTION Lucy Lidiawati Santioso; Livia Alves; Bruna Costa
International Journal of Educatio Elementaria and Psychologia Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v3i1.3421

Abstract

Early identification of behavioral risk in children is essential for preventing the escalation of developmental, emotional, and social difficulties. Conventional child behavior assessment practices, however, often rely on fragmented observations and subjective judgments that may overlook contextual risk factors. Applying forensic psychology principles offers a structured and evidence-based framework that emphasizes systematic observation, behavioral pattern analysis, and contextual interpretation. This study aims to examine the applicability and effectiveness of forensic psychology principles in child behavior assessment and early intervention contexts. The research employed a qualitative-dominant mixed-methods design involving structured behavioral observations, semi-structured interviews with educators and practitioners, and analysis of assessment records in educational and community-based settings. The findings indicate that forensic-informed assessment enhances the accuracy of early behavioral risk identification and supports more targeted and timely interventions. Children assessed using this framework demonstrated greater behavioral improvement following early intervention, particularly in emotional regulation and social interaction. The results also highlight that behavioral difficulties are closely linked to environmental and contextual factors rather than fixed individual deficits. The study concludes that forensic psychology principles can be effectively adapted beyond legal contexts to support preventive, ethical, and developmentally sensitive child behavior assessment. Integrating these principles into early intervention practices strengthens interdisciplinary collaboration and contributes to more responsive support systems for children at behavioral risk.
Resilience Development through Counseling Programs: Stress Coping Skills Sutrisno Sutrisno; Felipe Souza; Bruna Costa; Ilham Mirsal
Research Psychologie, Orientation et Conseil Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i2.1861

Abstract

Stress is a prevalent issue impacting individuals’ mental health and well-being, requiring effective interventions to enhance resilience. This study investigates the development of resilience through counseling programs, focusing on improving stress coping skills. The research aims to evaluate the effectiveness of structured counseling interventions in enhancing individuals’ ability to manage stress and build resilience. A quantitative approach was employed using a quasi-experimental design with pre- and post-test measures. The participants consisted of 120 individuals experiencing moderate to high stress levels, divided into intervention and control groups. The intervention group participated in an 8-week counseling program that integrated cognitive-behavioral therapy (CBT) techniques, mindfulness practices, and stress management strategies. Data were collected using standardized resilience and stress-coping questionnaires, and the results were analyzed using paired t-tests and ANCOVA. The findings revealed significant improvements in the resilience and stress-coping abilities of participants in the intervention group compared to the control group (p < 0.01). Participants reported enhanced emotional regulation, problem-solving skills, and adaptability to stressors. The study concludes that counseling programs focusing on stress-coping skills are effective in fostering resilience. These findings highlight the importance of integrating such programs into mental health interventions to promote well-being and adaptability in diverse populations.  
Fostering Academic Resilience: The Efficacy of Solution-Focused Brief Counseling (SFBC) in Alleviating Test Anxiety Among High-Achieving Adolescents Felipe Souza; Bruna Costa; Shazia Akhtar
Research Psychologie, Orientation et Conseil Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i6.2332

Abstract

Test anxiety is a significant barrier to academic success, particularly among high-achieving adolescents who face high academic pressures. The impact of test anxiety on students’ performance and psychological well-being necessitates effective interventions. Solution-Focused Brief Counseling (SFBC), a short-term, goal-oriented approach, has shown promise in addressing various psychological concerns, yet its specific efficacy in alleviating test anxiety among high-achieving adolescents remains under-explored. This study aims to investigate the effectiveness of SFBC in reducing test anxiety and enhancing academic resilience in this population. A quasi-experimental design was employed, with 60 high-achieving adolescents randomly assigned to either an experimental group (SFBC intervention) or a control group. Pretest and posttest measures were taken using the Test Anxiety Inventory (TAI) and the Academic Resilience Scale (ARS). The experimental group received five SFBC sessions, while the control group received no intervention. Results indicated that the SFBC intervention significantly reduced test anxiety and enhanced academic resilience among the experimental group. The mean TAI score decreased significantly, and the ARS score increased, indicating improved coping strategies and greater academic perseverance.
The Impact of Social Media on Social Comparison and Self-Esteem Atika Widya Utama; Felipe Souza; Bruna Costa
Research Psychologie, Orientation et Conseil Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i3.2376

Abstract

The ubiquitous presence of social media platforms has created an environment where individuals are constantly exposed to curated, idealized self-presentations. This environment is thought to intensify the natural human tendency for social comparison, which has significant implications for psychological well-being, particularly self-esteem. This study aimed to investigate the relationship between the intensity of social media use, the tendency for social comparison, and levels of self-esteem among young adults. A cross-sectional survey was conducted with a sample of 350 university students (aged 18-24). Participants completed validated instruments, including the Social Media Intensity Scale, the Iowa-Netherlands Comparison Orientation Measure (INCOM), and the Rosenberg Self-Esteem Scale. Correlation and mediation analyses were performed to test the hypothesized relationships. A significant positive correlation was found between the intensity of social media use and social comparison orientation (r = .45, p < .001). In turn, social comparison orientation was significantly negatively correlated with self-esteem (r = -.52, p < .001). Mediation analysis confirmed that social comparison significantly mediated the relationship between social media intensity and lower self-esteem. Intensive engagement with social media is strongly associated with a greater tendency for social comparison, which in turn predicts lower self-esteem. These findings highlight social comparison as a key psychological mechanism through which social media use may negatively impact mental health.
The Psychological Impact of Social Media on the Self-Esteem and Body Image of Pre-Adolescent Students Budiawan Budiawan; Bruna Costa; Raul Gomez
Research Psychologie, Orientation et Conseil Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i4.2712

Abstract

The increasing use of social media has raised concerns about its psychological impact on young adolescents, particularly concerning their self-esteem and body image. This study explores the effects of social media engagement on the self-esteem and body image perceptions of pre-adolescent students aged 10-12 years. The research aimed to assess how the frequency and nature of social media use contribute to body dissatisfaction and self-esteem levels among pre-adolescents. A mixed-method approach was employed, using surveys and in-depth interviews with 200 pre-adolescent students from four schools. The quantitative data were analyzed through descriptive statistics and correlation analysis, while qualitative data were thematically analyzed to gain deeper insights into personal experiences. The results indicated a significant negative correlation between social media usage and self-esteem, with increased exposure to idealized body images linked to higher levels of body dissatisfaction. Moreover, participants reported feeling pressure to conform to social media beauty standards, which impacted their body image perceptions. In conclusion, the findings highlight the importance of managing social media exposure for young adolescents to mitigate its potential negative effects on self-esteem and body image. Educational and parental interventions are essential to support pre-adolescents in developing healthier social media habits.
Quantum Machine Learning for Early Detection of Chronic Diseases Pedro Silva; Bruna Costa; Rafaela Lima
Journal of Tecnologia Quantica Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i4.1680

Abstract

The background of this research focuses on t, Malaysiahe development of early detection methods for chronic diseases using Quantum Machine Learning (QML). Chronic diseases such as diabetes, hypertension, heart disease, and cancer are often detected too late, leading to preventable complications. This study aims to explore the potential of QML in improving the accuracy and speed of diagnosis by combining clinical data and medical images. The method used involves the application of quantum machine learning algorithms to analyze medical datasets that include numerical information and medical images such as CT scans and MRIs. The results show that QML can process data faster and more accurately than traditional machine learning methods. QML is also capable of detecting hidden patterns in data that cannot be found with conventional techniques. The conclusion of this study shows that Quantum Machine Learning offers an effective new approach for the early detection of chronic diseases. This technology can improve healthcare systems by providing faster and more accurate predictions, which can reduce mortality rates from chronic diseases. Further research is needed to expand QML applications and address current hardware limitations
The Role of Play in Early Childhood Education for Developing Creative Problem-Solving Skills: A Longitudinal Study Sisilia Prima Yanuaria Buka; Bruna Costa; Pedro Silva; Saiful Fallah
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i5.2579

Abstract

Play is increasingly recognized as a crucial foundation for fostering creativity and problem-solving abilities in early childhood education. In a rapidly changing world that demands flexible thinking and innovation, understanding how different forms of play contribute to cognitive development has become a central concern for educators and researchers. This study aims to examine the longitudinal relationship between structured and unstructured play activities and the development of creative problem-solving skills among children aged 4 to 7 years. A mixed-method longitudinal design was employed over a three-year period, involving 120 children from five early childhood education centers. Quantitative data were collected through standardized creativity and problem-solving assessments, while qualitative observations and teacher interviews provided contextual insights into behavioral and cognitive changes. Results revealed that children consistently engaged in imaginative and cooperative play demonstrated significantly higher gains in fluency, flexibility, and originality in problem-solving tasks. The findings also indicate that teacher-facilitated play environments amplify these developmental effects by promoting autonomy and social interaction. The study concludes that play is not merely a recreational activity but a critical pedagogical tool that nurtures creative cognition and adaptive problem-solving in early learning contexts.
APPLICATION OF INTERNET OF THINGS (IOT) IN MODERN LIVESTOCK MANAGEMENT IN NEW ZEALAND Dina Destari; Raul Gomez; Bruna Costa; Ardi Azhar Nampira
Techno Agriculturae Studium of Research Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i1.1991

Abstract

This study examines the application of Internet of Things (IoT) technology in modern livestock management in New Zealand. The background of this research is based on the need to increase productivity, efficiency, and sustainability in the increasingly competitive livestock sector. The purpose of the study is to explore the benefits of applying IoT in livestock health monitoring, feed management, as well as the impact of this technology on the environment and sustainability. The research method used is descriptive-qualitative with data collection through interviews, field observations, and secondary data analysis. The results show that the adoption of IoT in large farms increases productivity by up to 20% and reduces operational costs through more efficient feed management. The study also found that infrastructure challenges are a hindrance to IoT adoption in small and medium-sized farms. The conclusion of the study is that IoT has the potential to be a key solution to improve efficiency and sustainability in the livestock sector, but infrastructure support and training are urgently needed to accelerate its adoption across sectors.