ANALISIS PRODUKTIVITAS PRODUKSI MENGGUNAKAN METODE OBJECTIVE MATRIX (OMAX) DI PT PABRIK CAT TUNGGAL DJAJA INDAH

Authors

  • Nadya Natasya Universitas 17 Agustus 1945 Surabaya
  • Erni Puspanantasari Putri Universitas 17 Agustus 1945 Surabaya

DOI:

https://doi.org/10.61105/jieti.v4i1.444

Keywords:

productivity, objective matrix (omax), ahp, rca, fishbone diagram

Abstract

This study aims to measure and analyze the productivity level of water-based paint production at PT Pabrik Cat Tunggal Djaja Indah using the Objective Matrix (OMAX), Analytical Hierarchy Process (AHP), and Root Cause Analysis (RCA) methods. The research problem is based on the failure to achieve the water-based paint production target in several months during the period from July to December 2025. The OMAX method was used to measure productivity based on seven ratios, namely raw material utilization, working hours, production effectiveness, product quality, machine operating time, labor, and electrical energy. AHP was used to determine the priority weight of each criterion, while RCA through a Fishbone Diagram was used to identify the root causes of low productivity. The results showed that production productivity fluctuated, with the highest value recorded in September at 5.4559 and the lowest value recorded in July at 1.9783. Factors affecting low productivity included inefficient raw material utilization, machine downtime, defective products, suboptimal labor utilization, and unstable electrical energy consumption. The proposed improvements include raw material supervision, implementation of preventive maintenance, improvement of operator skills, production quality control, SOP evaluation, and optimization of electrical energy use. The findings of this study are expected to serve as a basis for continuous improvement in water-based paint production productivity.

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References

Setiowati R. Analisis Pengukuran Produktivitas Departemen Produksi Dengan Metode Objective Matrix (Omax) Pada Cv. Jaya Mandiri. Faktor Exacta 2017;10.

Putri ISC, Taqwanur, Qurratu’aini NI. Optimalisasi Produktivitas Proses Produksi Melalui Penerapan Metode Objective Matrix (OMAX) di Perusahaan Percetakan. Nusantara Technology and Engineering Review 2024;2. https://doi.org/10.55732/nter.v2i1.1257.

Agung G, Pinangguh R, Gede W, Yoga S, Suhendra L. Productivity Analysis and Improvement of The Ground Robusta Coffee Powder Production Process at Company XYZ Using the Objective Matrix Method. International Research Journal of Engineering and Technology 2024;11.

Indriani Y, Sari RK, Marwa S. Objective Matrix (OMAX) Analysis to Determine Production Productivity. Journal of Engineering Science and Technology Management (JES-TM) 2024;4. https://doi.org/10.31004/jestm.v4i1.150.

Barač Ž, Plaščak I, Radočaj D, Jurišić M. The Impact of Noise on Agricultural Tractor Operator in Relation to Certain Operational Parameters: An Analytical Hierarchy Process (AHP) Approach. Agriculture (Switzerland) 2025;15. https://doi.org/10.3390/agriculture15050466.

Kalyan BHS, Anandh S, Nachiar SS. Categorization and Assessment of Combination Causes in Construction Disputes Using Analytical Hierarchy Process (AHP). Engineered Science 2024;29. https://doi.org/10.30919/es1109.

Hasan MM, Talha M, Akter MM, Ferdous MT, Mojumder P, Roy SK, et al. Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh. Journal of Asian Earth Sciences: X 2025;13. https://doi.org/10.1016/j.jaesx.2024.100189.

Kang YO, Yabar H, Mizunoya T, Higano Y. Optimal landfill site selection using ArcGIS Multi-Criteria Decision-Making (MCDM) and Analytic Hierarchy Process (AHP) for Kinshasa City. Environmental Challenges 2024;14. https://doi.org/10.1016/j.envc.2023.100826.

Yaralioglu I, Kara C. Sustainable Urban Design Approach for Public Spaces Using an Analytical Hierarchy Process (AHP). Land (Basel) 2025;14. https://doi.org/10.3390/land14010019.

Gacu JG, Garcia JD, Fetalvero EG, Catajay-Mani MP, Monjardin CEF. Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration. Energies (Basel) 2023;16. https://doi.org/10.3390/en16186724.

Muhammad K. Analisis Dan Perbaikan Penulisan List Of Material Pada Program Preservasi Menggunakan Metode Root Cause Analysis RCA. JUSTI (Jurnal Sistem Dan Teknik Industri) 2024;4. https://doi.org/10.30587/justicb.v4i4.8003.

Wolniak R, Gajdzik B, Grebski W. The usage of Root Cause Analysis (RCA) in Industry 4.0 conditions. Scientific Papers of Silesian University of Technology Organization and Management Series 2023;2023. https://doi.org/10.29119/1641-3466.2023.190.15.

Lee IJ, Lee AR, Lee KS. Accident Analysis Modeling and Case Study of Hydrogen Refueling Station Using Root Cause Analysis (RCA). Safety 2025;11. https://doi.org/10.3390/safety11020060.

Ramadhina MA, Azahra S, Izdihar H, Salsabilla A, Rosa N, Damayanthy D. Analisis Faktor Penyebab Cacat Produk Osha Snack melalui Pendekatan Fishbone Diagram (Analysis of Factors Causing Product Defects in Osha Snack Using the Fishbone Diagram Approach). Jurnal Ilmiah Ekonomi, Manajemen, Bisnis Dan Akuntansi 2025;2:63–73.

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Published

2026-06-01

How to Cite

Natasya, N., & Putri, E. P. (2026). ANALISIS PRODUKTIVITAS PRODUKSI MENGGUNAKAN METODE OBJECTIVE MATRIX (OMAX) DI PT PABRIK CAT TUNGGAL DJAJA INDAH. Journal of Industrial Engineering & Technology Innovation, 4(1), 63–76. https://doi.org/10.61105/jieti.v4i1.444