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Early Detection of Bullying Victimization in Indonesian Adults: A Predictive Scoring System Zahra Amir; Husin Sastranagara; Imanuel Simbolon; Neva Dian Permana; Andi Fatihah Syahrir
Scientia Psychiatrica Vol. 5 No. 4 (2024): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v5i4.180

Abstract

Introduction: Bullying victimization among adults is a pervasive problem with significant mental health implications, including depression, anxiety, and even suicidal ideation. Early detection of individuals at risk is crucial for timely intervention and support. This study aimed to develop and validate a predictive scoring system for bullying victimization in Indonesian adults. Methods: A cross-sectional study was conducted with 1,500 Indonesian adults aged 18-55 years. Data were collected using validated questionnaires, including the Indonesian Workplace Bullying Scale, the Kessler Psychological Distress Scale (K10), and the Rosenberg Self-Esteem Scale. Sociodemographic information and history of adverse childhood experiences were also collected. Logistic regression analysis was used to identify predictors of bullying victimization and develop a predictive scoring system. The model's performance was evaluated using receiver operating characteristic (ROC) curve analysis. Results: The prevalence of bullying victimization in the sample was 18.7%. Significant predictors included female gender, younger age, lower socioeconomic status, history of childhood trauma, low self-esteem, and high psychological distress. The predictive scoring system demonstrated good discriminatory ability, with an area under the ROC curve (AUC) of 0.82 (95% CI: 0.79-0.85). Conclusion: This study provides a validated predictive scoring system for identifying Indonesian adults at risk of bullying victimization. This tool can assist mental health professionals, employers, and policymakers in implementing targeted prevention and intervention programs to mitigate the adverse mental health consequences associated with bullying.
Building Community Resilience to Climate Change in Jakarta: A Public Health Approach Integrating Policy, Practice, and Education Jonah Abraham; Andi Fatihah Syahrir; Neva Dian Permana; Matilda Munoz; Sarah Armalia
Community Medicine and Education Journal Vol. 6 No. 1 (2025): Community Medicine and Education Journal
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/cmej.v6i1.700

Abstract

Climate change poses significant and escalating threats to public health in Jakarta, Indonesia, including increased risks of vector-borne diseases, heat-related illnesses, and mental health impacts exacerbated by flooding and displacement. This study examined the current state of community resilience to these climate-related health threats and evaluated the effectiveness of existing policies and educational interventions. A mixed-methods approach was employed, combining a cross-sectional survey of Jakarta residents (n= 850), semi-structured interviews with key stakeholders (n= 25) from government agencies, NGOs, and community organizations, and a policy review of relevant Indonesian and Jakarta-specific regulations and strategic plans. The survey assessed climate change awareness, perceived health risks, adaptive capacity, and access to resources. Interviews explored policy implementation challenges, inter-sectoral collaboration, and community engagement strategies. The policy review analyzed alignment with international best practices and identified gaps. The survey revealed moderate levels of climate change awareness but significant gaps in understanding of specific health risks (62% aware of general climate change, but only 38% aware of the link to dengue fever increase). Perceived adaptive capacity was low, particularly among vulnerable populations (low-income households, those living in flood-prone areas). 75% of respondents in flood-prone areas reported lacking adequate resources to cope with flooding events. Interviews highlighted challenges in inter-sectoral coordination, limited funding for community-based programs, and a lack of culturally appropriate health education materials. The policy review found that while national-level policies exist, Jakarta-specific implementation lags, particularly in integrating health considerations into urban planning and disaster preparedness. In conclusion, building community resilience to climate change in Jakarta requires a multi-pronged approach. This includes strengthening health system preparedness, developing targeted and culturally appropriate health education programs, improving inter-sectoral collaboration, enhancing community engagement, and integrating health considerations into all relevant policies. Specific recommendations include strengthening early warning systems for heat waves and floods, expanding access to clean water and sanitation, promoting climate-resilient housing, and investing in community-based adaptation projects.
Plutocracy in the Protocol: A Quantitative Triangulation of Power Concentration in Decentralized Finance Governance Arya Ganendra; Neva Dian Permana; Muhammad Faiz; Henry Clifford
Enigma in Economics Vol. 3 No. 2 (2025): Enigma in Economics
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/economy.v3i2.104

Abstract

Decentralized Finance (DeFi) proposes a paradigm shift towards a democratized financial ecosystem governed by its users. This vision of decentralization is predicated on the distribution of governance tokens. However, the verity of this claim lacks rigorous empirical validation, raising concerns about a potential "decentralization illusion." This study quantitatively investigates the concentration of governance power within leading DeFi protocols to empirically test this narrative. We employed a multi-faceted quantitative triangulation framework using on-chain data from three archetypal DeFi protocols, selected to represent the core sectors of the ecosystem: a lending market (ProtoLend), a decentralized exchange (ProtoSwap), and a yield aggregator (ProtoYield). Our methodology integrates: (1) Empirical Network Analysis based on on-chain voting power delegation to map the topology of influence; (2) Economic Inequality Metrics, including the Gini Coefficient and Lorenz Curve Analysis, to quantify the distribution of governance tokens; and (3) Systemic Risk Assessment via the Nakamoto Coefficient to determine the minimum number of colluding actors required for a 51% governance attack. The empirical network analysis revealed a distinct core-periphery topology across all protocols, indicative of highly centralized influence structures. This was substantiated by extreme economic inequality, with Gini coefficients of 0.91 for ProtoLend, 0.95 for ProtoSwap, and 0.89 for ProtoYield. Lorenz curves visually confirmed that a minuscule fraction of holders controls the vast majority of voting power. The Nakamoto coefficients were critically low, calculated at 8 for ProtoLend, 5 for ProtoSwap, and 11 for ProtoYield, exposing profound vulnerabilities to collusion and capture. In conclusion, our findings provide robust, triangulated evidence of a pervasive "decentralization illusion" within DeFi. Governance power is not distributed but is instead highly concentrated, replicating the plutocratic power dynamics of traditional finance. This concentration poses significant systemic risks and fundamentally challenges the core value proposition of the DeFi ecosystem.
Pricing Sustainability in Decentralized Finance: An Empirical Analysis of the ESG Premium in Digital Assets Anies Fatmawati; Aylin Yermekova; Andi Fatihah Syahrir; Neva Dian Permana
Enigma in Economics Vol. 3 No. 2 (2025): Enigma in Economics
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/economy.v3i2.109

Abstract

The rapid expansion of digital assets has created a conflict between technological innovation and environmental, social, and governance (ESG) principles, particularly concerning the energy consumption of legacy consensus mechanisms. This has led to the emergence of "sustainable" cryptocurrencies, raising the critical question of whether the market financially rewards sustainability. This study quantitatively investigates the existence and magnitude of an "ESG premium" in the digital asset market. A quasi-longitudinal study was conducted on a panel dataset of 20 cryptocurrencies (10 sustainable, 10 traditional) from January 1, 2021, to December 31, 2024. A detailed, transparent composite ESG score was developed to measure sustainability. The primary analysis utilized a panel data fixed-effects regression model to assess the relationship between asset prices and ESG scores, controlling for market capitalization, trading volume, market-wide indices, and key technological factors like protocol age, scalability, and developer activity. To address endogeneity and validate causality, we employed models with lagged independent variables. Further robustness checks were performed across bull and bear market sub-periods. A GARCH (1,1) model was used to analyze differences in price volatility. The primary regression model reveals a statistically and economically significant positive relationship between ESG scores and cryptocurrency prices. A 10-point increase in the ESG score is associated with a 4.1% price premium (b=0.0041, p < 0.001), even after controlling for technological modernity. This finding remains robust in models using lagged variables and across different market cycles. GARCH analysis confirms that sustainable cryptocurrencies exhibit significantly lower price volatility. In conclusion, the findings provide strong, robust empirical evidence for a persistent ESG premium in the cryptocurrency market. This suggests that investors price in the perceived long-term viability, reduced risk profile, and ethical alignment of sustainable assets, signaling a maturation of the market where non-financial, sustainability-focused metrics are integral to asset valuation.