ANALISIS STATISTIK UMUR PAKAI DAN KEBUTUHAN PERAWATAN MESIN OVEN PENGERING MENGGUNAKAN METODE WEIBULL DISTRIBUTION

Authors

  • Muhammad Rijal Ghulam Muklis Al Kautsar Universitas Nusantara PGRI Kediri Indonesia
  • Fatkur Rohman Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/pw1hq638

Abstract

Mesin pengering (oven) merupakan peralatan penting dalam industri yang bekerja pada kondisi suhu tinggi sehingga rentan mengalami kerusakan komponen. Penelitian ini bertujuan untuk menganalisis umur pakai komponen mesin oven serta menentukan jadwal perawatan preventif menggunakan metode distribusi Weibull. Data penelitian diperoleh dari pengamatan waktu kegagalan komponen utama seperti komponen pemanas, komponen motor kipas, dan komponen sensor suhu. Analisis dilakukan dengan menentukan parameter bentuk (β) dan skala (η), kemudian menghitung nilai keandalan dan Mean Time To Failure (MTTF). Hasil penelitian menunjukkan bahwa sebagian besar komponen mengalami pola kegagalan wear-out (β > 1), yang menandakan kerusakan akibat keausan. Berdasarkan nilai MTTF, diperoleh interval perawatan optimal sebelum terjadi kegagalan. Penerapan metode Weibull terbukti mampu meningkatkan efektivitas perawatan dan mengurangi downtime mesin.

Keywords:

keandalan, mesin oven, perawatan preventif, distribusi Weibull

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References

[1] O. Dajbych, A. Kabutey, C. Mizera, and D. Herak, "Investigation of the Effects of Infrared and Hot Air Oven Drying Methods on Drying Behaviour and Colour Parameters of Red Delicious Apple Slices," pp. 18-29, 2023, doi: 10.3390/pr11103027.

[2] M. Keskin, A. Aysel, and Y. Soysal, "Mathematical Modeling, Moisture Diffusion and Color Quality in Intermittent Microwave Drying of Organic and Conventional Sweet Red Peppers," pp. 393-407, 2020, doi: 10.3390/agriengineering2030027.

[3] M. R. Maulana and J. Purnama, "Upaya Maintenance Mesin Oven Guna Meminimalisir Product Defect dengan Metode Failure Mode Effect Analysis," vol. 5, pp. 3563-3579, 2025, doi: 10.31004/innovative.v5i1.16771.

[4] Z. Roohanizadeh, E. Baloui, and E. Deiri, "Parameters and reliability estimation for the weibull distribution based on intuitionistic fuzzy lifetime data," Complex Intell. Syst., vol. 8, no. 6, pp. 4881-4896, 2022, doi: 10.1007/s40747-022-00720-x.

[5] U. Unaijah and S. Darwis, "Prediksi Sisa Umur Bearing Menggunakan Distribusi Weibull," pp. 73-81, 2022, doi: 10.29313/jrs.vi.909.

[6] Y. Wu, H. Xie, J. Chiang, G. Peng, and Y. Qin, "Parameter Estimation and Applications of the Weibull Distribution for Strength Data of Glass Fiber," vol. 2021, 2021, doi: 10.1155/2021/9175170.

[7] I. H. Aziz, Z. Zahedi, S. Sutarman, and M. Romi, "Estimasi Parameter Distribusi Weibull Menggunakan Metode Maksimum Likelihood," Arjuna, vol. 3, 2025, doi: 10.61132/arjuna.v3i1.1531.

[8] W. Dong, X. Zhang, Y. Dong, and Y. Lin, Equipment reliability assessment based on a two-parameter Weibull distribution, Atlantis Press International BV, 2023, doi: 10.2991/978-94-6463-262-0.

[9] S. A. Ermanto et al., "APPLICATION OF THE WEIBULL DISTRIBUTION MODEL TO ESTIMATE MAINTENANCE INTERVAL AND OPERATIONAL LIFESPAN OF VEHICLE INSPECTION EQUIPMENT," Teknol. Transp. dan Logistik, vol. 6, no. 1, pp. 25-30, 2025.

[10] Y. Wu, H. Xie, J. Chiang, G. Peng, and Y. Qin, "Parameter Estimation and Applications of the Weibull Distribution for Strength Data of Glass Fiber," Hindawi Math. Probl. Eng., vol. 2021, 2021, doi: 10.1155/2021/9175170.

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Published

2026-07-20

How to Cite

ANALISIS STATISTIK UMUR PAKAI DAN KEBUTUHAN PERAWATAN MESIN OVEN PENGERING MENGGUNAKAN METODE WEIBULL DISTRIBUTION. (2026). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 10(1), 460-469. https://doi.org/10.29407/pw1hq638