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Institutional Injustice and Authorial Critique in Kathryn Stockett's The Help Jourdan Eden Nico; Erna Cahyawati; Imam Basuki; Ghanesya Hari Murti
Journal of Feminism and Gender Studies Vol. 5 No. 2 (2025): Journal of Feminism and Gender Studies
Publisher : Pusat Studi Gender Universitas Jember

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Abstract

This research aims to analyze how Kathryn Stockett's The Help represents systemic racism and author's critical position towards the racial injustice issue within the novel. This research applies two theories: the representation by Stuart Hall and the theory of systemic racism by Joe. R. Feagin. This research applies a qualitative method with a narrative text analysis approach. The results of this study show that systemic racism plays a role in the level of labor exploitation, economic discrimination, social inequality, and oppressive social norms. Thus, the author's position also shows an effort to criticize the unjust system. However, she notes there are still some limitations since white characters are still central to hold primary control. This study concludes that literary works can function as a medium to voice social criticism of racism, while reflecting the complexity of the author's position in shaping representations of racial injustice.
Vibration Pattern Analysis for Early Detection of Engine Component Faults Using Artificial Neural Networks Fauzi, Deni Nur; Syahrul Munir; Dimas Ari Setyawan; Dhovan Ilhamdan Prima; Imam Basuki; Aldy Prasetya Wibowo
Journal of Engineering Science and Technology Management (JES-TM) Vol. 6 No. 1 (2026): Maret 2026
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v6i1.309

Abstract

This study presents an integrated approach to vehicle vibration pattern analysis and early fault detection using Artificial Neural Network (ANN) modeling to address key maintenance challenges, including unplanned engine downtime and the limitations of conventional time-based preventive maintenance strategies. The research combines empirical vibration measurements obtained from internal combustion engines with a computational ANN model developed to automatically classify engine health conditions. The experimental phase focused on collecting vibration data under three operational states: normal, degrading, and faulty, each exhibiting distinctive vibration characteristics associated with combustion pressure variations and mechanical imbalance.A total of 500 vibration samples were recorded, with 400 used for ANN training and 100 for validation. The proposed feedforward multilayer perceptron (MLP) model achieved a classification accuracy of 94% with a mean squared error of 1.5 × 10⁻⁵. The ANN successfully identified transitional degradation patterns between normal and faulty states, demonstrating its capability for early fault diagnosis and supporting timely maintenance intervention and improved maintenance scheduling. Furthermore, the results reveal a strong correlation between combustion chamber pressure fluctuations and vibration amplitude, confirming that increased pressure irregularities lead to higher vibration energy levels. Overall, the proposed ANN-based vibration monitoring framework provides a non-invasive, cost-effective, and reliable solution for real-time engine condition assessment. By enabling early detection of mechanical degradation and reducing the risk of unexpected failures, the approach contributes to enhanced equipment availability, lower maintenance costs, and the effective implementation of predictive maintenance systems in automotive and industrial applications.
Greenwashing in Fast Fashion: A Critical Analysis of Shein’s EvoluShein Campaign Anindya Puteri; Evelyne Kezia Priyantono; Ghanesya Hari Murti; Erna Cahyawati; Dyah Purwita Wardhani; Imam Basuki
Makna: Jurnal Kajian Komunikasi, Bahasa, dan Budaya Vol. 17 No. 2 (2025): MAKNA: Jurnal Kajian Komunikasi, Bahasa dan Budaya
Publisher : Fakultas Komunikasi, Sastra, dan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/makna.v17i2.11368

Abstract

As environmental awareness grows, fast fashion brands increasingly adopt sustainability messaging to appeal to eco-conscious consumers. However, such efforts often raise concerns about greenwashing—where environmental claims are exaggerated, vague, or unsubstantiated. This study critically examines Shein’s evoluSHEIN campaign using Stöckl and Molnar’s Eco-Advertising Framework, which integrates linguistic and visual analysis to assess how brands construct eco-friendly narratives. Five official advertisements from 2024 were analyzed using Critical Discourse Analysis and multimodal semiotics. The findings identify five recurring greenwashing strategies: vague eco-lexicon, symbolic eco-imagery, unverified eco-certifications, emotional moral framing, and unsubstantiated absolute claims. Terms like “sustainable” and “eco-safe” are used without definition or evidence, while visuals—such as leafy graphics and green color schemes—reinforce environmental connotations without transparency. Moral slogans like “Join the fight for a greener planet” shift responsibility to consumers, framing ethical purchasing as the solution while masking Shein’s ongoing high-volume, low-cost production model. These strategies construct a cohesive yet largely symbolic environmental message, aligning with broader fast fashion trends where marketing appeal outweighs operational change. The study argues that this multimodal approach to greenwashing risks misleading consumers and eroding trust in legitimate sustainability initiatives. By highlighting the interaction between language and imagery in shaping perceptions of environmental responsibility, this research underscores the need for clearer regulatory standards, credible third-party certifications, and increased consumer media literacy. It contributes to the critical understanding of how greenwashing operates systemically within fast fashion and how ethical branding narratives may conceal unsustainable practices.