Penelitian ini bertujuan menganalisis getaran dan penerapan pemeliharaan prediktif pada mesin diesel kapasitas 1420 kW di ULPLTD Tobelo. PLTD adalah sumber energi utama di daerah terpencil Indonesia, di mana keandalan mesin diesel sangat penting. Getaran pada mesin diesel dapat mempengaruhi kinerja dan masa pakai mesin. Analisis getaran dilakukan menggunakan standar ISO 10816 dengan pengukuran di 6 titik di sekitar mesin untuk mengevaluasi kondisi komponen utama seperti generator. Hasil pengukuran sebelum perbaikan menunjukkan nilai getaran yang tinggi pada beberapa titik: G_IV (Inboard Vertical) berkisar antara 5,59 mm/s hingga 7,25 mm/s dan G_OV (Outboard Vertical) berkisar antara 3,41 mm/s hingga 7,16 mm/s, mengindikasikan potensi masalah serius. Setelah dilakukan perbaikan Bearing dan Alignment, hasil pengukuran getaran menunjukkan penurunan signifikan: nilai getaran keseluruhan (OVR) turun menjadi 0,8193 mm/s, dan pada titik G_IV dan G_OV masing-masing tercatat 0,68 mm/s dan 0,46 mm/s. Penurunan ini mencerminkan peningkatan stabilitas dan performa operasional generator. Implementasi pemeliharaan prediktif berdasarkan analisis getaran terbukti efektif dalam mendeteksi dan mencegah masalah sebelum menjadi serius. Penelitian ini diharapkan dapat memberikan pemahaman lebih dalam tentang karakteristik getaran mesin diesel dan efektivitas pemeliharaan prediktif dalam mendeteksi dan mencegah masalah. Temuan ini dapat berkontribusi pada pengembangan praktik terbaik pemeliharaan prediktif di industri energi, baik di Indonesia maupun di tingkat global, untuk meningkatkan efisiensi operasional dan keandalan sistem pembangkit listrik.

This research aims to analyze vibration and the application of predictive maintenance on a 1420 kW diesel engine at ULPLTD Tobelo. Diesel power plants are the main source of energy in remote areas of Indonesia, where the reliability of diesel engines is very important. Vibration in diesel engines can affect the performance and service life of the engine. Vibration analysis was conducted using the ISO 10816 standard with measurements at 6 points around the engine to evaluate the condition of key components such as Cylinder Filters and generators. The measurement results before repair showed high vibration values at several points: G_IV (Inboard Vertical) ranging from 5.59 mm/s to 7.25 mm/s and G_OV (Outboard Vertical) ranging from 3.41 mm/s to 7.16 mm/s, indicating a potentially serious problem. After bearing and Alignment repairs, the vibration measurement results showed a significant decrease: the overall vibration value (OVR) dropped to 0.8193 mm/s, and at points G_IV and G_OV it was recorded as 0.68 mm/s and 0.46 mm/s, respectively. This decrease reflects the improved stability and operational performance of the generator. The implementation of predictive maintenance based on vibration analysis proved effective in detecting and preventing problems before they become serious. This research is expected to provide a deeper understanding of the vibration characteristics of diesel engines and the effectiveness of predictive maintenance in detecting and preventing problems. The findings can contribute to the development of predictive maintenance best practices in the energy industry, both in Indonesia and globally, to improve operational efficiency and reliability of power generation systems.