<![CDATA[Abstrak. Observasi pada pendahuluan penelitian ditemukan permasalahan tingginya downtime, waktu operasional, penurunan kecepatan kerja mesin. Penelitian ini bertujuan mengukur efektivitas mesin pencacah dengan Overall Resource Effectiviness (ORE) dan menganalisis penyebab ketidakefektifan mesin melalui Root Cause Analysis (RCA). Metode pendekatan kuantitatif untuk menghitung tujuh faktor ORE yaitu readiness, availability of facility, material, manpower, changeover efficiency, dan quality rate, serta analisis kualitatif dengan Fishbone diagram dan metode 5 Whys. Hasil penelitian menunjukkan rata-rata ORE mesin pencacah sebesar 55,33% yang mana dibawah standar efektivitas. Faktor dominan yang menurunkan efektivitas rendahnya readiness (89,98%) dan performance efficiency (70,99%). Hasil perhitungan Six Big Losses menunjukkan, persentase Reduced Speed Losses (50,82%) dan Idling and Minor Stopages Losses (39,12%) tergolong kerugian yang paling dominan. Analisis RCA mengidentifikasi penyebab utama berasal dari aspek people, materials, method, dan machines. Efektivitas mesin pencacah di CV Mora Jaya Kalianda belum optimal karena masih jauh di bawah standar efektivitas industri. Abstract. Observations in the introduction of the study found problems with high downtime, operational time, and decreased machine work speed. This study aims to measure the effectiveness of the shredder machine with Overall Resource Effectiveness (ORE) and analyze the causes of machine ineffectiveness through Root Cause Analysis (RCA). A quantitative approach method was used to calculate seven ORE factors: readiness, facility availability, material, manpower, changeover efficiency, and quality rate, as well as qualitative analysis with Fishbone diagrams and the 5 Whys method. The results of the study showed that the average ORE of the shredder machine was 55.33%, which is below the effectiveness standard. The dominant factors that reduce effectiveness are low readiness (89.98%) and performance efficiency (70.99%). The results of the Six Big Losses calculation show that the percentage of Reduced Speed Losses (50.82%) and Idling and Minor Stopages Losses (39.12%) are classified as the most dominant losses. The RCA analysis identified the main causes originating from the aspects of people, materials, methods, and machines. The effectiveness of the shredder machine at CV Mora Jaya Kalianda is not optimal because it is still far below the industry effectiveness standard.]]>
