Analisis Restorasi Pasca Perawatan Pulpektomi Gigi Decidui pada Anak: Tinjauan Literatur tentang Metode dan Efektivitasnya
DOI:
https://doi.org/10.62383/quwell.v2i3.2281Keywords:
Dentition, Pulpectomy, Restoration, Tooth Decay, Pediatric DentistryAbstract
Background: Half of the 75 million children in Indonesia suffer from dental caries, and the number continues to rise each year. Caries is a disease that involves the enamel, dentin, and pulp of the tooth. If left untreated, it can reach the pulp and cause tooth necrosis. Pulpectomy is a dental procedure that involves removing the entire pulp tissue of deciduous teeth to access the infected root canal. This procedure is crucial to prevent the spread of infection. Post-pulpectomy restoration is essential to ensure the optimal function of the tooth and prevent further damage to the remaining tooth structure. The restoration must have adequate retention, minimal leakage, and not increase the risk of further damage to the remaining tooth structure. Methodology: This study is a qualitative research in the form of a literature review using secondary data collected in August 2024 from five main databases: PubMed, MDPI, ScienceDirect, Garuda (Garba Rujukan Digital), and Taylor & Francis. The collected data were then sorted to identify articles relevant to the research criteria. Results and Discussion: Based on the Prisma Diagram Flow, 343 articles were identified from the five databases, which were then filtered down to five articles that met the criteria to be the primary articles in this literature review. The results show that there are various types of post-pulpectomy restorations tailored to the diagnosis and clinical indications of the treated teeth. Conclusion: There are two commonly used types of post-pulpectomy restorations, namely restorations made of Glass Ionomer Cement (GIC) and Stainless Steel Crowns (SSC). Both of these restorations can be modified into space maintainers, which are essential in preserving space for the future growth of permanent teeth while improving the function of the treated tooth.
References
Al-Najjar, B., & Alsyouf, I. (2003). Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. International Journal of Production Economics, 84(1), 85-100. https://doi.org/10.1016/S0925-5273(02)00380-8
ASTM International. (2017). ASTM D5185-18: Standard test method for multielement determination of used and unused lubricating oils and base oils by inductively coupled plasma atomic emission spectrometry (ICP-AES). ASTM International.
Ben-Daya, M., Kumar, U., & Murthy, D. N. P. (2016). Introduction to maintenance engineering: Modelling, optimization and management. John Wiley & Sons. https://doi.org/10.1002/9781118926581
Bloch, H. P., & Geitner, F. K. (2012). Machinery failure analysis and troubleshooting: Practical machinery management for process plants (4th ed.). Butterworth-Heinemann. https://doi.org/10.1016/B978-0-12-386045-3.00004-0
Brown, A. (2019). Cost avoidance strategies in heavy equipment maintenance. International Journal of Engineering Management, 12(2), 89-102.
Heng, A., Zhang, S., Tan, A. C. C., & Mathew, J. (2009). Rotating machinery prognostics: State of the art, challenges and opportunities. Mechanical Systems and Signal Processing, 23(3), 724-739. https://doi.org/10.1016/j.ymssp.2008.06.009
ISO. (2016). ISO 17359: Condition monitoring and diagnostics of machines - General guidelines. International Organization for Standardization.
Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483-1510. https://doi.org/10.1016/j.ymssp.2005.09.012
Johnson, R. (2021). Maintenance strategies for heavy equipment: Preventive vs predictive. Journal of Maintenance Engineering, 18(4), 56-70.
Komatsu Ltd. (2010). Shop manual for Komatsu PC200-8 excavator (SEN00084-10).
Li, W., & He, D. (2012). Rotational machine health monitoring and fault detection using EMD-based acoustic emission feature quantification. IEEE Transactions on Instrumentation and Measurement, 61(4), 990-1001. https://doi.org/10.1109/TIM.2011.2179933
Mobley, R. K. (2002). An introduction to predictive maintenance (2nd ed.). Butterworth-Heinemann. https://doi.org/10.1016/B978-075067531-4/50006-3
Peng, Y., Dong, M., & Zuo, M. J. (2010). Current status of machine prognostics in condition-based maintenance: A review. International Journal of Advanced Manufacturing Technology, 50, 297-313. https://doi.org/10.1007/s00170-009-2482-0
PT. Antareja Mahada Makmur. Profil perusahaan. Diakses pada 4 Februari 2025 dari https://amm.id/tentang-kami/
Sharma, A., Yadava, G. S., & Deshmukh, S. G. (2011). A literature review and future perspectives on maintenance optimization. Journal of Quality in Maintenance Engineering, 17(1), 5-25. https://doi.org/10.1108/13552511111116222
Smith, J. (2018). Predictive maintenance in mining industry: A case study. Journal of Industrial Engineering, 45(3), 123-135.
Hilmawan, R., Clark, A. L., & Hermawan, R. (2017). Policy change in Indonesia's coal sector: Domestic market obligation and its impact. Energy Policy, 108, 563-573. https://doi.org/10.1016/j.enpol.2017.06.015
Kumar, R., & Singh, A. (2021). Failure analysis of final drive system in heavy earth moving machinery. Engineering Failure Analysis, 124, 105394. https://doi.org/10.1016/j.engfailanal.2021.105394
Prasetyo, A., & Ardiansyah, H. (2019). Performance evaluation of hydraulic excavators in mining operations. IOP Conference Series: Earth and Environmental Science, 311(1), 012048. https://doi.org/10.1088/1755-1315/311/1/012048
Putra, D. Y., Nugroho, S., & Yuliani, N. (2022). Reliability analysis of heavy equipment components in mining operations. Journal of Mechanical Engineering and Technology, 14(2), 85-94. https://doi.org/10.14710/jmet.14.2.85-94
Rahman, A., Syahrani, S., & Pratama, B. (2020). Maintenance management of heavy equipment in coal mining industry. International Journal of Advanced Science and Technology, 29(5), 11247-11255.
Suryanto, A., & Hidayat, R. (2023). Preventive maintenance strategy for final drive unit in excavators to reduce downtime. Jurnal Teknologi dan Rekayasa, 18(2), 145-156. https://doi.org/10.33510/jtr.v18i2.145-156
Wibowo, H., Setiawan, B., & Susilo, D. (2021). Cost analysis of heavy equipment downtime in Indonesian mining companies. International Journal of Mining, Reclamation and Environment, 35(7), 495-510. https://doi.org/10.1080/17480930.2021.1882089
World Bank. (2023). Indonesia economic prospects: Navigating coal transition. The World Bank. https://www.worldbank.org
Zhang, Y., Li, X., & Chen, H. (2020). Condition monitoring and predictive maintenance of construction equipment using IoT and machine learning. Automation in Construction, 114, 103182. https://doi.org/10.1016/j.autcon.2020.103182
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