Analisis Sistem Perawatan Cathode Stripping Machine Menggunakan Metode Mean Time Between Failure (MTBF) dan Mean Time to Repair (MTTR) di PT Amman Mineral Industry

Cathode Stripping Machine merupakan salah satu mesin utama pada Departemen Electro Refinery PT Amman Mineral Industry yang berfungsi memisahkan cathode copper secara otomatis. Kerusakan pada mesin dapat menyebabkan downtime yang berdampak pada terganggunya proses produksi. Penelitian ini bertujuan untuk menganalisis tingkat keandalan Cathode Stripping Machine menggunakan metode Mean Time Between Failure (MTBF) dan Mean Time To Repair (MTTR), serta mengevaluasi Availability mesin. Penelitian menggunakan metode deskriptif kuantitatif dengan data downtime periode November 2025 sampai Februari 2026. Data yang dianalisis meliputi waktu operasi mesin, jumlah kerusakan, waktu perbaikan, dan frekuensi kerusakan. Selanjutnya dilakukan analisis Pareto, Fault Tree Analysis (FTA) dan Failure Mode and Effect Analysis (FMEA) untuk mengidentifikasi kerusakan dominan, akar penyebab, dan menentukan prioritas tindakan perbaikan.
Hasil penelitian menunjukkan nilai MTBF meningkat dari 4,09 jam menjadi 19,97 jam, sedangkan MTTR tetap berada di bawah 1 jam selama periode penelitian. Nilai Availability meningkat dari 91,7% menjadi 97,4%. Analisis Pareto menunjukkan kerusakan dominan terjadi pada Sensor Trouble, Strapping Unit Failure, Hydraulic Hose Leakage, Infeed Robot Spring Broken dan Infeed Robot Gripper Stuck. Hasil FTA mengidentifikasi akar penyebab kerusakan, sedangkan FMEA menunjukkan Sensor Trouble memiliki nilai Risk Priority Number (RPN) tertinggi sehingga menjadi prioritas utama dalam tindakan perbaikan. Hasil penelitian diharapkan dapat menjadi dasar untuk meningkatkan efektivitas sistem perawatan dan mengurangi downtime mesin.

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The Cathode Stripping Machine is one of the main machines in the Electro Refinery Department at PT Amman Mineral Industry, functioning to separate copper cathodes automatically. Machine failures can cause downtime, which disrupts the production process. This study aims to analyze the reliability of the Cathode Stripping Machine using the Mean Time Between Failure (MTBF) and Mean Time to Repair (MTTR) methods, as well as to evaluate machine Availability.
This study employed a descriptive quantitative method using machine downtime data from November 2025 to February 2026. The analyzed data included operating time, number of failures, repair time, and failure frequency. Furthermore, Pareto Analysis, Fault Tree Analysis (FTA), and Failure Mode and Effects Analysis (FMEA) were conducted to identify dominant failures, determine their root causes, and prioritize corrective actions.
The results showed that the MTBF increased from 4.09 hours in November to 19.97 hours in January, while the MTTR remained below 1 hour throughout the study period. Machine Availability also increased from 91.7% to 97.4%. Pareto analysis indicated that the dominant failures were Sensor Trouble, Strapping Unit Failure, Hydraulic Hose Leakage, Infeed Robot Spring Broken,
and Infeed Robot Gripper Stuck. FTA identified the root causes of these failures, while FMEA indicated that Sensor Trouble had the highest Risk Priority Number (RPN), making it the highest priority for corrective action. The findings are expected to support the improvement of maintenance effectiveness and reduce machine downtime.