Pengaruh perawatan preventif terhadap umur pakai mesin produksi tekstil

Main Article Content

Budi Setiawan
Dika Permana

Abstract

Mesin produksi tekstil merupakan komponen vital dalam industri manufaktur yang menentukan kelancaran produksi dan kualitas hasil. Namun, penggunaan mesin secara intensif sering mengakibatkan penurunan performa dan umur pakai jika tidak didukung oleh strategi pemeliharaan yang tepat. Penelitian ini bertujuan menganalisis pengaruh penerapan perawatan preventif terhadap umur pakai mesin produksi tekstil. Metode penelitian menggunakan desain pretest–posttest control group dengan total sampel 40 unit mesin (20 mesin perlakuan preventif dan 20 mesin kontrol). Parameter yang diamati meliputi umur pakai mesin efektif, downtime rata-rata, dan biaya perawatan. Data dianalisis dengan uji-t independen pada taraf signifikansi 5%. Hasil penelitian menunjukkan bahwa mesin dengan perawatan preventif memiliki umur pakai lebih panjang (1.250 ± 85 jam) dibanding kelompok kontrol (920 ± 110 jam; t = 9,21; p < 0,001). Downtime kelompok preventif juga lebih rendah (12 ± 3 jam/bulan) dibanding kontrol (28 ± 6 jam/bulan; t = -8,47; p < 0,001). Dari sisi biaya, kelompok preventif lebih efisien (Rp 18.500/jam operasi) dibanding kontrol (Rp 25.700/jam operasi; t = -6,38; p < 0,001). Temuan ini membuktikan bahwa perawatan preventif berperan signifikan dalam memperpanjang umur pakai mesin, mengurangi downtime, serta meningkatkan efisiensi biaya pada industri tekstil. Penelitian ini merekomendasikan penerapan perawatan preventif secara konsisten dan terjadwal sebagai strategi utama manajemen pemeliharaan di sektor manufaktur

Article Details

How to Cite
Setiawan, B., & Permana, D. (2025). Pengaruh perawatan preventif terhadap umur pakai mesin produksi tekstil. Jurnal Ilmiah Ilmu Dan Teknologi Rekayasa, 8(1), 21–26. https://doi.org/10.31962/jiitr.v8i1.388
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References

Ali, M. (2016) ‘Optimasi Pengolahan Teh Kulit Buah Naga (Hylocereus polyrhizus)’, AGRITEPA, 2(2), pp. 216–223.

Budiono, H., Suryadi, A. and Putra, R. (2021) ‘Analisis Perawatan Mesin Tenun pada Industri Tekstil di Jawa Barat’, Jurnal Teknologi dan Rekayasa, 7(2), pp. 55–62.

Creswell, J.W. and Creswell, J.D. (2018) Research design: Qualitative, quantitative, and mixed methods approaches. 5th edn. Thousand Oaks: Sage.

Eti, M.C., Ogaji, S.O.T. and Probert, S.D. (2006) ‘Development and implementation of preventive-maintenance practices in Nigerian industries’, Applied Energy, 83(10), pp. 1163–1179.

Gopalakrishnan, P. and Banerji, A.K. (2013) Maintenance and spare parts management. New Delhi: PHI Learning.

Jardine, A.K.S., Lin, D. and Banjevic, D. (2006) ‘A review on machinery diagnostics and prognostics implementing condition-based maintenance’, Mechanical Systems and Signal Processing, 20(7), pp. 1483–1510.

Kennedy, R. and Patterson, M. (2012) Managing maintenance and reliability. New York: Industrial Press.

Kothari, C.R. (2014) Research methodology: Methods and techniques. 2nd edn. New Delhi: New Age International.

Muchiri, P. and Pintelon, L. (2008) ‘Performance measurement using overall equipment effectiveness (OEE): Literature review and practical application discussion’, International Journal of Production Research, 46(13), pp. 3517–3535.

Mobley, R.K. (2019) Maintenance fundamentals. 4th edn. New York: Elsevier.

Nakajima, S. (1988) Introduction to Total Productive Maintenance (TPM). Cambridge: Productivity Press.

Nguyen, T.H., Do, P. and Grall, A. (2015) ‘Multi-level predictive maintenance for multi-component systems’, Reliability Engineering & System Safety, 144, pp. 83–94.

Olanrewaju, O.I. and Abdul-Aziz, F. (2015) ‘Building maintenance processes, principles, procedures, practices and strategies’, Journal of Building Performance, 6(1), pp. 1–16.

Patton, M.Q. (2015) Qualitative research and evaluation methods. 4th edn. Thousand Oaks: Sage.

Sherwin, D. (2000) A review of overall models for maintenance management, Journal of Quality in Maintenance Engineering, 6(3), pp. 138–164.

Smith, R. and Hawkins, B. (2004) Lean maintenance: Reduce costs, improve quality, and increase market share. Oxford: Elsevier.

Tsang, A.H.C. (2002) ‘Strategic dimensions of maintenance management’, Journal of Quality in Maintenance Engineering, 8(1), pp. 7–39.

Waeyenbergh, G. and Pintelon, L. (2004) ‘A framework for maintenance concept development’, International Journal of Production Economics, 77(3), pp. 299–313.

Wang, H. (2002) ‘A survey of maintenance policies of deteriorating systems’, European Journal of Operational Research, 139(3), pp. 469–489.

Yam, R.C.M. et al. (2001) ‘Intelligent predictive decision support system for condition-based maintenance’, International Journal of Advanced Manufacturing Technology, 17(5), pp. 383–391.

Zhou, J., Xiang, Y. and Li, W. (2016) ‘A data-driven approach for predictive maintenance of industrial machinery with big data’, IEEE Transactions on Industrial Informatics, 12(3), pp. 939–948