<![CDATA[ABSTRAK Keberlangsungan proses produksi pada sektor manufaktur bahan bangunan sangat ditentukan oleh stabilitas kinerja mesin secara kontinu. Mesin Extruder Double Screw di PT Tjakrindo Mas Gresik menghadapi sejumlah kendala operasional, meliputi penurunan laju produksi, downtime tidak terencana, serta akumulasi produk reject sebesar 6.930 kg dalam rentang waktu Oktober 2025 hingga Maret 2026. Penelitian ini bertujuan mengukur tingkat efektivitas mesin sekaligus menyusun usulan penjadwalan preventive maintenance yang dilandasi analisis keandalan sistem. Metode yang diterapkan mencakup Overall Equipment Effectiveness (OEE), Six Big Losses, Failure Mode and Effect Analysis (FMEA), serta analisis keandalan menggunakan uji Goodness of Fit terhadap distribusi Weibull, Eksponensial, Gamma, dan Lognormal. Hasil penelitian menunjukkan nilai OEE rata-rata sebesar 70%, masih berada di bawah standar world class 85% [1], dengan performance efficiency sebesar 74% menjadi komponen paling rendah. Analisis Six Big Losses mengungkapkan bahwa reduced speed losses merupakan kategori kerugian terbesar dengan proporsi 26,61%. Penilaian FMEA menempatkan motor sebagai komponen paling kritis dengan nilai Risk Priority Number (RPN) tertinggi sebesar 240. Berdasarkan analisis keandalan dengan target reliability 80%, interval preventive maintenance berkisar antara 6 hari kerja untuk pompa vacuum hingga 43 hari kerja untuk heater. Penerapan jadwal perawatan yang terstruktur ini diharapkan mampu menekan downtime tidak terencana dan meningkatkan keandalan sistem produksi secara menyeluruh. ABSTRACT The sustainability of production processes in the building materials manufacturing sector is largely determined by consistent machine performance stability. The Double Screw Extruder machine at PT Tjakrindo Mas Gresik encountered several operational challenges, including reduced production speed, unplanned downtime, and accumulated reject products totaling 6,930 kg during the period from October 2025 to March 2026. This study aims to measure the machine effectiveness level and develop a proposed preventive maintenance schedule based on system reliability analysis. The methods employed include Overall Equipment Effectiveness (OEE), Six Big Losses, Failure Mode and Effect Analysis (FMEA), and system reliability analysis using Goodness of Fit tests against Weibull, Exponential, Gamma, and Lognormal distributions. The findings indicate an average OEE value of 70%, which remains below the world-class standard of 85% [1], with performance efficiency at 74% constituting the lowest contributing factor. Six Big Losses analysis reveals that reduced speed losses represent the largest loss category at 26.61%. FMEA assessment identifies the motor as the most critical component with the highest Risk Priority Number (RPN) of 240. Based on reliability analysis targeting 80% reliability, preventive maintenance intervals range from 6 working days for the vacuum pump to 43 working days for the heater. Implementation of this structured maintenance schedule is anticipated to reduce unplanned downtime and enhance overall production system reliability.]]>
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