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All Journal Humanus: Jurnal ilmiah Ilmu-ilmu Humaniora Publika Budaya LITERASI: Jurnal Ilmu-Ilmu Humaniora UNEJ e-Proceeding JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION Semiotika ELLITE: Journal of English Language, Literature, and Teaching JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Interdisciplinary Journal on Law, Social Sciences and Humanities Jurnal Civil Engineering Study Leksema: Jurnal Bahasa dan Sastra Journal of Engineering Science and Technology Management InSTEM Journal of Feminism and Gender Studies (JFGS) JEELL (Journal of English Education, Linguistics and Literature)
Imam Basuki
Faculty Of Humanities University Of Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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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.
Co-Authors Agung Tri Aldy Prasetya Wibowo Anastasia Erna R.S. Aqlia Nur Fahma Asri Sundari Asrumi Cintia Aaliyah Sandjojo Deni Nur Fauzi Dhovan Ilhamdan Prima Dimas Ari Setyawan Dinda Sekar Selni Prawardani Erna Cahyawati Fafan S. Fauzan Kurniawan Ghanesya Hari Murti Hanny Rasni Hat Pujiati I.G. Krisnadi Ipana Novela Irana Astutiningsih Ishaq Destri Jourdan Eden Nico Kusumayanti, Dina Dyah Laily Rosdiana M. Sukarno Nurul Islamiyah Raden Mohamad Herdian Bhakti Risza Dewi Rahmawati Silviana Selyandita Sofia Supiastutik Supiastutik Suwargono, Eko Syahrul Munir Vincentia Sekar Arum Wardani SWW, L. Dyah Purwita Wisasongko Wisasongko