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All Journal DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Journal of Engineering Science and Technology Management
Dimas Ari Setyawan
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Social Sciences

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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.
MESIN UKIR COMPUTER NUMERICAL CONTROL (CNC) MINI UNTUK MENINGKATKAN KUALITAS KERAJINAN KAYU Deni Nur Fauzi; Agus Choirul Arifin; Yoga Ahdiat Fakhrudi; Dimas Ari Setyawan; Pradhana Kurniawan; Imam Basuki; Eric Rico Ardiansyah
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 10 No 1 (2026)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/dikemas.v10i1.1029

Abstract

Desa Bantur, Kabupaten Malang, merupakan salah satu sentra industri mebel yang menghasilkan limbah kayu dalam jumlah besar. Karang Taruna Rajawali 56 telah berupaya mengolah limbah tersebut menjadi kerajinan kayu bernilai ekonomis, seperti jam ukir dan plakat ukir. Namun, keterbatasan teknologi manual menyebabkan rendahnya presisi dan efisiensi produksi. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan kualitas dan produktivitas kerajinan kayu melalui diseminasi teknologi mesin ukir CNC mini. Metode pelaksanaan meliputi sosialisasi, pelatihan operasional mesin CNC, praktik produksi, serta pendampingan pemasaran digital. Hasil kegiatan menunjukkan peningkatan signifikan: peserta mampu mengoperasikan CNC secara mandiri, presisi ukiran meningkat hingga 90% dibanding metode manual, serta kapasitas produksi naik dari 2 unit menjadi 5 unit per hari. Pemasaran juga berkembang melalui marketplace dan media sosial. Kegiatan ini berhasil memberdayakan pemuda desa, mengurangi pengangguran, serta meningkatkan daya saing produk kerajinan.
Co-Authors Agus Choirul Arifin Aldy Prasetya Wibowo Deni Nur Fauzi Dhovan Ilhamdan Prima Eric Rico Ardiansyah Fakhrudi, yoga ahdiat Imam Basuki Pradhana Kurniawan Syahrul Munir