Zafira, Vada (2022) Implementasi Metode Lean Six Sigma (Dmaic) Sebagai Upaya Peningkatan Kualitas Dan Mempercepat Proses Produksi Dengan Mereduksi Waste Pada Produk Pertashop (Studi Kasus: Pt Barata Indonesia). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Seiring dengan perkembangan jaman, berbagai jenis industri di Indonesia juga mengalami perkembangan sehingga dapat membantu pertumbuhan perekonomian Indonesia. Oleh karena itu, perusahaan harus memiliki kemampuan untuk membuat produknya menjadi produk yang unggul dengan terus memperbaiki kualitas produk, agar perusahaan dapat menjadi lebih unggul dari kompetitor lainnya. PT Barata Indonesia (Persero) salah satu Badan Usaha Milik Negara (BUMN) bidang industri berat yang melakukan produksi dengan tujuan peningkatan perekonomian masyarakat Indonesia. Salah satu bentuk kontribusi perusahaan yaitu dengan memproduksi produk Pertashop bersama PT Pertamina Indonesia (Retail). Dalam proses produksi Pertashop terdapat berbagai permasalahan pemborosan (waste) produksi yang mana hal ini mengindikasikan bahwa proses produksi yang terjadi masih belum termasuk proses produksi yang baik, sehingga dihasilkannya kualitas produk yang kurang maksimal. Untuk dapat mengatasi waste serta meningkatkan kualitas produk, maka diperlukannya suatu metode atau pendekatan yang dapat mengidentifikasi dan menghilangkan waste serta meningkatkan kualitas produk melalui perbaikan secara terus menerus sehingga perusahaan dapat mengejar keunggulan dan kesempurnaan yaitu metode Lean Six Sigma. Dalam penelitian ditemukan bahwa dari 9 Waste E-DOWNTIME terindikasi terdapat 8 jenis waste yang ada pada proses produksi Pertashop. Kemudian terindikasi terdapat 3 critical waste yaitu waste defect, waste excess processing dan waste waiting dengan masing-masing nilai bobot hybrid analysis sebesar 6,6, 6 dan 5,75. Setelah itu diidentifikasi akar penyebab terjadinya critical waste dengan menggunakan fishbone. Kemudian dilakukan penentuan prioritas perbaikan dengan menggunakan Failure Mode and Effect Analysis (FMEA) yang memiliki nilai RPN (Risk Priority Number) tertinggi dalam masing-masing critical waste. Dari RPN tertinggi dibuatlah 3 rekomendasi alternatif perbaikan yang diusulkan untuk perusahaan yaitu perbaikan SOP dan pembuatan form inspeksi, mengimplementasikan metode 5S di penyimpanan serta pergantian alat pengukuran manual menjadi alat pengukuran digital. Berdasarkan perhitungan value analysis ketiga kombinasi alternatif perbaikan terpilih untuk menjadi kombinasi alternatif paling baik diimplementasikan dengan bobot value sebesar 1,283. Dengan menerapkan kombinasi 3 alternatif perbaikan, maka perusahaan diperkirakan dapat mereduksi defect sebesar 33,34%, dapat mereduksi downtime sebesar 23,81% dan dapat mereduksi lead time sebesar 27,17%. Sehingga dapat disimpulkan bahwa perbaikan yang direkomendasikan dapat memberikan dampak yang baik bagi perusahaan.
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Along with the times, various types of industries in Indonesia are also developing so that they can help Indonesia's economic growth. Therefore, companies must have the ability to make their products into superior products by continuously improving product quality, so that the Company can be superior to other competitors. PT Barata Indonesia (Persero) is one of the State- Owned Enterprises (BUMN) in the heavy industry sector that produces products to improve the economy of the Indonesian people. One form of the company's contribution is by producing Pertashop products with PT Pertamina Indonesia (Retail). In the Pertashop production process, various production waste problems indicate that the production process that occurs is still not good, resulting in less than optimal product quality. To be able to overcome waste and improve product quality, we need a method or approach that can identify and eliminate waste and improve product quality through continuous improvement so that companies can pursue excellence and perfection, namely the Lean Six Sigma method. In the study, it was found that from 9 E-DOWNTIME Waste, it was indicated that there were 8 types of waste in the Pertashop production process. Then it is indicated that there are 3 critical wastes, namely defect waste, excess processing waste, and waiting waste with each hybrid analysis weight value of 6,6, 6, and 5,75. After that, the root cause of critical waste is identified by using fishbone. Then determine the priority of improvement using Failure Mode and Effect Analysis (FMEA) which has the highest RPN (Risk Priority Number) value in each critical waste. Then determine the priority of improvement using Failure Mode and Effect Analysis (FMEA) which has the highest RPN (Risk Priority Number) value in each critical waste. From the highest RPN, 3 alternative recommendations were made for improvements proposed for the company, namely improving SOPs and making inspection forms, implementing the 5S method in storage, and changing manual measurement tools into digital measurement tools. Based on the calculation of the value analysis, the three alternative combinations of improvement were selected to be the best alternative combination implemented with a weighted value of 1,283. By implementing a combination of 3 alternative improvements, the company is estimated to be able to reduce defects by 33,34%, reduce downtime by 23,81%, and to reduce lead time by 27,17%. So it can be concluded that the recommended improvements can have a good impact on the company.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSI 658.562 Zaf i-1 2022 |
| Uncontrolled Keywords: | Lean Six Sigma, E-DOWNTIME, Fishbone, Failure Mode and Effect Analysis (FMEA), Hybrid Analysis, Value Analysis. Lean Six Sigma, E-DOWNTIME, Fishbone, Failure Mode and Effect Analysis (FMEA), Hybrid Analysis, Value Analysis. |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 12 May 2026 07:53 |
| Last Modified: | 12 May 2026 07:53 |
| URI: | http://repository.its.ac.id/id/eprint/133166 |
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