DOI: https://doi.org/10.14710/jplp.9.1.9-23

Analisis Total Productive Maintenance Menggunakan Metode Overall Equipment Effectiveness (OEE) sebagai Baseline Kebijakan Perawatan Laboratorium Simulasi dan Komputasi

1Departemen of Industrial Engineering, Universitas Negeri Gorontalo, Jl. Prof. Dr.Eng B.J. Habibie, Desa Moutong, Kecamatan TIlongkabila, Kabupaten Bonebolango, Provinsi Gorontalo, Indonesia

2Human Resource Department (HRD), P.T. Banggai Sentral Sulawesi, Luwuk, Indonesia, Indonesia

Open Access Copyright 2026 Jurnal Pengelolaan Laboratorium Pendidikan

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Abstract

The Simulation and Computing Laboratory of the Industrial Engineering Department, Universitas Negeri Gorontalo, is the busiest among six existing laboratories, serving two undergraduate programs Industrial Engineering and Mechanical Engineering Education alongside the national student admission selection test via Computer Assisted Test. Research applying OEE in educational laboratories remains sparse; most studies report values in the 64–78% range, well short of the 85% world-class standard, with none addressing split-start parallel scheduling or recording Reduced Speed Loss in CAD applications as a distinct category. This study measures equipment performance using the Overall Equipment Effectiveness (OEE) method within a Total Productive Maintenance (TPM) framework as the basis for laboratory maintenance policy formulation. Data were collected through structured observation and semi-structured interviews from August to December 2025, covering two scheduling groups: Group A from August 19 and Group B from October 13 2025, one week after mid semester examinations, totaling 199 practical sessions with a Loading Time of 597 hours. OEE measurement produced a baseline of 84.42%, only 0.58 points below the world-class standard, with Availability at 88.89% (gap 1.11 points), Performance Rate at 90.48% (gap 4.52 points), and Quality Rate at 94.97% (gap 4.93 points). Six Big Losses analysis identified Setup and Adjustment Loss as the largest contributor at 66.33 hours (43.30%), followed by Equipment Failure at 56.86 hours (37.12%), together accounting for 80.42% of total quantified losses. Grounded in the OEE baseline and loss distribution map, this study produced three implementation-ready maintenance policy outputs: (1) a five-level tiered Preventive Maintenance schedule from daily to annual, (2) a Laboratory Preparation Standard Operating Procedure mandating a 30-minute pre-session setup to eliminate 66.33 hours of delays per semester, and (3) a three-level operator training module. Full 

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Keywords: Total Productive Maintenance; Overall Equipment Effectiveness; Six Big Losses; Jadwal Paralel; Reduced Speed Loss; Laboratorium Komputer Pendidikan.

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