Optimalisasi Perawatan Mesin untuk Meningkatkan Efisiensi Biaya dan Waktu Operasional pada Usaha Penggilingan Padi Sabar Sakdremo
DOI:
https://doi.org/10.61476/qgbw3w96Keywords:
Autonomous Maintenance, Total Productive Maintenance, Lean Production, Downtime, Cost EfficiencyAbstract
Sabar Sakdremo Rice Milling business in Demangan Village, Klaten, faced operational challenges due to high mechanical breakdowns on its main diesel engine, driven by the absence of a structured preventive maintenance system and dependency on external technicians. This condition led to inflated financial expenditures, prolonged unplanned downtime, raw paddy accumulation, and reduced service quality due to order fulfillment delays. To resolve this inefficiency, this study implemented an autonomous maintenance strategy adopted from Total Productive Maintenance (TPM) and Lean Production concepts. This qualitative research employed a case study approach, gathering data through observation, in-depth interviews with the owner and operators, and business documentation, which were then analyzed using a descriptive-comparative method. The results demonstrated that the application of autonomous maintenance significantly improved operational efficiency. The total machine maintenance cost decreased from IDR 1,932,000 to IDR 999,000 (48.29% cost efficiency), and the total downtime duration was substantially cut from 18 hours 15 minutes to 5 hours 40 minutes (68.95%time efficiency). Based on the Lean approach, the new system successfully eliminated the waste of waiting and optimized time allocation through work-window management, serving as a practical reference to enhance asset utilization efficiency in small-scale rural agribusinesses.
References
Aeddula, O., Frank, M., Ruvald, R., Askling, C. J., Wall, J., & Larsson, T. (2024). AI-Driven Predictive Maintenance for Autonomous Vehicles for Product-Service System Development. Procedia CIRP, 128, 84–89. https://doi.org/10.1016/j.procir.2024.06.008
Asio, J. M. R. (2026). AI anxiety , AI self-competence , AI literacy , and AI self-efficacy among nursing students : A parallel mediation analysis. 13(1), 1–10.
Bezerra, M., Kaline, A., Ribeiro, C., Tayn, P., Rosalia, C., Medeiros, P. De, Xavier, L., Menezes, B. De, Wanderley, Y., Srinivasan, M., & Porto, F. (2026). 3D-printed versus conventionally fabricated complete dentures : Time-efficiency and cost-effectiveness analysis. 175(July).
Cannas, V. G., Pozzi, R., Saporiti, N., & Urbinati, A. (2025). Unveiling the interaction among circular economy, industry 4.0, and lean production: A multiple case study analysis and an empirically based framework. International Journal of Production Economics, 282(January). https://doi.org/10.1016/j.ijpe.2025.109537
Crespo Márquez, A., & Gómez Fernández, J. F. (2026). Agentic AI for autonomous preventive maintenance policy governance: a multi-agent framework for dynamic industrial environments. Expert Systems with Applications, 314(December 2025). https://doi.org/10.1016/j.eswa.2026.131767
Daniels, K. N. (2026). AI investment , cost efficiency , and the three-speed banking architecture : CDFI credit unions , non-CDFI credit unions , and community banks. 2(June).
Guanghua, L., Jiao, D., AlKassem, A., Ying, D., Arshad, R., Ni, J., Liu, Z., & Shah, S. H. H. (2026). Autonomous UAV Swarm Maintenance for Dust and Hotspot Control in Photovoltaic Farms. Fluid Dynamics and Materials Processing, 22(4), 1–25. https://doi.org/10.32604/FDMP.2026.077648
Guedes, M. J. C., do Rego Ferreira Lima, M., Bendoly, E., Patel, P., & Bachrach, D. (2026). Enabling empowerment over exploitative specialization: The role of total productive maintenance in precarious work contexts. International Journal of Production Economics, 301(June). https://doi.org/10.1016/j.ijpe.2026.110150
Hidayat, H., Nordin, N. M., Anwar, M., & Saputra, H. K. (2025). How Students ’ Problem-Solving Abilities Influence Their Digital Competence Skill in the Use of Problem-Based Learning Application. 14(2), 1494–1507. https://doi.org/10.18421/TEM142
Hos, T., Cohen, O., Koukouliev, V., Bloch, G., Sror, G., Vidruk-Nehemya, R., Landau, M. V., & Herskowitz, M. (2026). High-performance process for production of sustainable aviation fuel from lean-hydrogen feedstock: an integrated case study. Fuel, 418(January), 12–15. https://doi.org/10.1016/j.fuel.2026.138747
Kapelko, M., Sotiros, D., & Klaudiusz, S. (2026). A hybrid cost efficiency model under fixed and non-fixed prices : A case study on the Polish justice courts ☆. 144(July).
Kitada, H., Kitada, T., & Guenther, T. (2026). The relationship between waste intensity and corporate cost behavior: Implications for the circular economy and resource efficiency. Journal of Cleaner Production, 574(April). https://doi.org/10.1016/j.jclepro.2026.149056
Lam, B. Q., Tran, H. Y., Nguyen, K. A., Nguyen, K. T., & Minh, P. (2025). Digital competence and digital entrepreneurial intention : A social cognitive approach Digital competence and digital entrepreneurial intention : A social cognitive approach.
Li, W., Chen, X., Sun, J., Yang, Y., & Xie, M. (2025). Improved DDQN-Based Autonomous Cooperative Control for UAV Formation Maintenance. IFAC-PapersOnLine, 59(22), 501–506. https://doi.org/10.1016/j.ifacol.2025.11.683
Panigrahi, S. S., & Singh, C. B. (2026). Comparison on energy efficiency, carbon emissions, and cost implications of cross-flow, mixed-flow, and double-flow grain dryers in evaluating process sustainability. Cleaner Engineering and Technology, 34(July). https://doi.org/10.1016/j.clet.2026.101289
Rajab, A. M., & Wang, B. (2024). Autonomous and reliable fingerprint map maintenance for indoor positioning system. Computer Networks, 251(November 2023). https://doi.org/10.1016/j.comnet.2024.110626
Sitinamaluwa Guruge, L. G., Disaratna, V., Mannapperuma, M. M. N., & Perera, B. A. K. S. (2026). Adaptability of UAVs to improve the accuracy and efficiency of cost management practices in road construction projects in Sri Lanka. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-02-2025-0210
Wang, T., Huang, Q., Liu, A., Qin, G., Zhang, J., Yang, Y., & Cheng, Y. (2026). Dual-resolution next-best-view planning for manipulator-based autonomous mapping in fusion reactor maintenance. Fusion Engineering and Design, 229(May). https://doi.org/10.1016/j.fusengdes.2026.115840
Wänström, C., Medbo, L., Hallin, M., & Kusén, R. (2026). How a lean learning system can improve operators’ work performance and well-being in a production setting. International Journal of Quality and Reliability Management, 43(6), 1569–1592. https://doi.org/10.1108/IJQRM-05-2024-0165
Xue, X., Hu, N., Qiu, F., & Li, G. (2025). Chief operating officers’ long-term orientation and corporate lean production. Journal of Business Research, 191(September 2023). https://doi.org/10.1016/j.jbusres.2025.115247
Yang, Y., Yee, R. W. Y., Lee, P. K. C., & han Zhu, J. (2026). When digital technologies meet lean production: A socio-technical system perspective for operational efficiency and innovativeness. Information and Management, 63(1). https://doi.org/10.1016/j.im.2025.104238
Zhang, C., Liu, C., Mao, H., Tian, G., Jiang, Z., Cai, W., & Wang, W. (2024). Integration of lean production and low-carbon optimization in remanufacturing assembly. Advanced Engineering Informatics, 62(December 2023). https://doi.org/10.1016/j.aei.2024.102789
Zhao, M., Tang, Z., Zhou, M., Zhang, X., Wang, X., & Gong, X. (2026). Online monitoring of Chinese herbal medicine production process toward lean six sigma: multimodal data fusion based on transformer architecture. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 351(December 2025). https://doi.org/10.1016/j.saa.2026.127507
Published
Issue
Section
License
Copyright (c) 2026 Prayogo Widagdo, Reza Widhar Pahlevi (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
