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Imam Sodikin
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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ANALISIS PENINGKATAN KUALITAS BUIS BETON DALAM UPAYA ELIMINASI LOSSES MENGGUNAKAN METODE SIX SIGMA DAN FMEA PADA UD. MARJOKO BETON Sriwidodo, Dwi; Khasanah, Rahayu; Sodikin, Imam
Jurnal Rekavasi Vol 11 No 1 (2023)
Publisher : Prodi Teknik Industri, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/rekavasi.v11i1.4362

Abstract

The production process is said to be good when it produces products that are in accordance with the standards set by the company without any product defects. The company uses the six sigma method as a quality control tool to reduce product defects by implementing the Define, Measure, Analyze, Improve, Control (DMAIC) steps. Six Big Losses and FMEA to analyze the dominant factors that cause defective products and identify defects in concrete buis. This study aims to find out which companies implement quality control using the Six Sigma method. Based on the Six Big Losses analysis, the highest losses were process defect losses of 57.84% and equipment failures of 32.38%. There are 6 critical wastes out of a total of 13 wastes with the highest RPN value, which is caused by a human error of 180. The Sigma value is 3.06 or still within the control limits. Following are some recommendations for improvement that can be given to the company: carry out quality control at each stage of the production process, evaluate the workforce, contract with suppliers of prime quality materials, provide adequate raw material warehouses
Penjadwalan Perawatan Mesin Dengan Metode Preventive Maintenance & Predictive Maintenance (Studi Kasus Di PLTD Kota Masohi) Sodikin, Imam; Parwati, Cyrilla Indri; Fayzi, Fiqih; Indrayana, Masrul
Jurnal Tekstil Vol 7 No 1 (2024): Vol 7 No 1 Juni 2024
Publisher : Akademi Komunitas Industri Tekstil Dan Produk Tekstil Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59432/jute.v7i1.88

Abstract

PT PLN (Persero) Pusat Listrik Masohi yaitu Perusahaan Milik Negara yang bergerak di bidang pembangkitan listrik pada wilayah masohi. Pemadaman listrik yang sering terjadi di kota masohi disebabkan adanya kerusakan pada mesin KOMATSU EGS 1200-6. Kerusakan mesin yang terjadi diakibatkan oleh penjadwalan perawatan mesin yang kurang efektif. Metode yang digunakan yaitu Metode Preventive Maintenance dan Predictive Maintenance untuk memperbaiki sistem penjadwalan perawatan mesin yang kurang efektif. Preventive maintenance bertujuan untuk menentukan jadwal perbaikan mesin yang baik dan mengurangi biaya perawatan yang berlebihan. Predictive maintenance bertujuan untuk memprediksi gejala-gejala sebelum terjadinya kerusakan mesin. Tahapan pengolahan data yaitu klasifikasi ABC, breackdown mesin, perhitungan repair, perhitungan preventive maintenance dan predictive maintenance. Hasil yang diperoleh yaitu diusulkan jadwal perawatan untuk klasifikasi A mengikuti kebijakan preventive maintenance setiap 5 bulan. Kerusakan klasifikasi B dan klasifikasi C mengikuti repair. Sedangkan Predictive maintenance yang dapat dilakukan oleh PT.PLN Masohi adalah dengan analisa vibrasi, tribologi dan wear debris.
Analisis Pengendalian Persediaan Suku Cadang Mesin Produksi dengan Pendekatan Continuous Review System Sodikin, Imam; Asih, Endang Widuri; Rahmanto, Sugun
Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri 2019: Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

PT.Bumitama Gunajaya Agro adalah Perusahaan yang bergerak dibidang perkebunan dan pengolahan buah kelapa sawit. Hasil produk dari perusahaan ini berupa Crude palm oil (CPO) dan inti buah kelapa sawit (Karnel Palm Oil). Permasalahan yang terjadi adalah perusahaan melakukan pemesanan suku cadang ketika terjadi kerusakan mesin produksi sehingga berdampak pada keterlambatan proses produksi. Lead time pengadaan merupakan salah satu variabel yang mempengaruhi ketersediaan suku cadang. Pengelompokan jenis suku cadang berdasarkan variabel klasifikasi tertentu dapat memudahkan manajemen persediaan dalam memperioritaskan suku cadang. Tujuan dari penelitian ini adalah mengklasifikasikan kekritisan suku cadang berdasarkan nilai penggunaan per tahun, lead time pengadaan, pergerakan suku cadang berdasarkan average stay selama satu bulan, menentukan tingkat kebutuhan jumlah suku cadang yang optimal dengan pendekatan Spare-part Requirement Nomograph dan menentukan pengendalian suku cadang kritis dengan pendekatan Continuous Review System. Hasil menunjukan bahwa klasifikasi ABC , SDE dan FSN menghasilkan katagori dengan tingkat kekritisan. Berdasarkan pendekatan Spare-part Requirement Nomgraph jumlah kebutuhan suku cadang kritis berbeda-beda mulai dari 9 sampai 79 unit. Berdasarkan hasil perhitungan Continuous Review System jumlah pemesana optimal mulai dari 9 sampai 24 unit. Jumlah safety stock mulai dari 0 sampai 1 unit, Reorder Point mulai dari 1 sampai 7 unit dan total cost berkisar pada 3.258.265,- sampai 308.019.208,- dalam satu tahun.
Pendekatan Lean Manufacturing Dengan Value Stream Mapping (VSM) Dan Kaizen Pada Proses Produksi Tas Kulit Parwati, Cyrilla Indri; Arsa, I Wayan Adi; Sodikin, Imam
Nusantara of Engineering (NOE) Vol 6 No 1 (2023): Volume 6 No 1 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v6i1.19906

Abstract

The production process is said to be efficient and effective if the process does not produce waste or waste, but in reality a company in carrying out its production process cannot be separated from waste. PT. Mandiri Jogja Internasional is an industry engaged in manufacturing, with production in the form of leather products, namely leather bags, leather shoes, leather wallets and others. In the process there is still waste as indicated by the large number of raw materials in the process of work scattered on the floor, there are still tools and materials that have not been considered by employees for storage, there is waiting time for sewing work, and there are old raw materials that have not been used. The existing waste must be minimized and eliminated so as not to harm the company. This study uses lean manufacturing with value stream mapping and kaizen to minimize waste and implement 5s. The results obtained by waste that often occur in the leather bag production process are overprocessing 3, transportation 1.8, waiting 1.5, defects 1.5, inventory 1, unnecesary 0.6 and overproduction 0. There are Non Value Added Activities (NVA) ) of the entire product manufacturing process is 157s from the analysis of the current state value stream mapping and value stream activity which has the largest percentage is value added with a percentage of 46%, while for non value added with a percentage of 29.10% and the smallest percentage is necessary but non-value added by 22.53%. Key word : Kaizen, Lean Manufacturing, Value Stream Mapping
Co-Authors Agusta Wahyu Saputra, Agusta Wahyu Andrie Widyo Atmoko Aprilia Hardiyanti Arsa, I Wayan Adi Ayu Wulandari Saraswati, Ayu Wulandari Bendi Oktarando, Bendi Cyrilla Indri Parwati Endang Widuri Asih Fayzi, Fiqih Ferianto, Riski Goldiantero, Zakaria indrayana, masrul Indri Susilawati Joko Susetyo Khasanah, Rahayu Kriswantoro, Agung Luh Putu Ratna Sundari Mashuri, Aang Mashuri, Aang Mega Nurmanita, Mega Mudiarti, Ismi Mudiarti, Ismi Muhaimin Muhaimin Muhammad Yusuf Nashrudin Nashrudin, Nashrudin Rafika, Yana Rahmanto, Sugun Rif'ah, Mega Inayati Risanita Setyananda Risma Adelina Simanjuntak Rudi Wibowo Sarsito, Bambang Mudo SATRIYAS ILYAS Sidarto Sidarto Sriwidodo, Dwi Tarigan, Jusen Pramana Taufik Nurrohim Titin Isna Oesman Ummah, Hawariy Amiinul Widodo, Risanita Setyananda Wisnubroto , Petrus Yuli Pratiwi Yuli Pratiwi