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All Journal Jurnal Teknologi Industri Pertanian STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Ilmiah Teknik Industri Jurnal Optimasi Teknik Industri (JOTI)
Rahman, Arif
Prgram Studi Teknik Industri, Universitas Indraprasta PGRI
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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PENGGUNAAN METODE FMECA (FAILURE MODES EFFECTS CRITICALITY ANALYSIS) DALAM IDENTIFIKASI TITIK KRITIS DI INDUSTRI KEMASAN Arif Rahman; Farah Fahma
Jurnal Teknologi Industri Pertanian Vol. 31 No. 1 (2021): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2021.31.1.110

Abstract

XYZ is a company engaged in packaging, especially for pharmaceuticals. The company has recorded an overall defective product known as end to end waste. During 2019 the average end to end waste was 12.37%, while the target of company management was 9%. The objective of this research is to minimize defective products and to find out what types of defects occur in the production process. The method used in this research is FMECA (Failure Modes, Effects and Critically Analysis), which is the development of the FMEA (Failure Mode and Effect Analysis) method which functions to make analyzes from production tools or processes, types of defects to the effects that arise as a result. of the defect, but also to determine the critical point. The results of the analysis that has been carried out using the FMEA method with RPN (Risk Priority Number) calculations, then analysis with the Pareto diagram and criticality matrix, the researcher gets 10 priority failure modes, namely the machine often stops due to a lot of paper dust, too high piles, unstable colors because there is a change in ink, the non-stop feeder is damaged, the front lay and side lay are unstable from the printing process, the side lay sensor does not work, the actual chiller temperature with the display is not the same, the paper is untidy from the printing process, the paper is untidy from the calendering process, and the chiller is leaking. The researcher also gave recommendations, namely making a Standard Operation Procedure (SOP) for handling dusty paper, submitting complaints to suppliers regarding paper quality, providing a printing unit, and training for dusty paper handling. Keywords: criticality matrix, FMECA, risk priory number, pareto diagram
ANALISIS PRODUKTIVITAS MESIN PERCETAKAN PERFECT BINDING DENGAN METODE OEE DAN FMEA Arif Rahman; Surya Perdana
Jurnal Ilmiah Teknik Industri Vol 7, No 1 (2019): Jurnal Ilmiah Teknik Industri (Jurnal Keilmuan Teknik dan Manajemen Industri )
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v7i1.5034

Abstract

Mesin Perfect Binding merupakan alat finishing untuk proses menjilid buku yang sering digunakan pada industri percetakan. Ketika berproduksi masalah yang sering muncul pada mesin Perfect Binding adalah downtime, breakdown, setup and adjustment yang mengakibatkan produktivitas hasil produksi berkurang. Tujuan dalam penelitian ini adalah untuk meningkatkan produktifitas dengan cara mengetahui hasil perhitungan Overall Equipment Effetiviness (OEE) pada mesin Perfect Binding dan mengetahui beberapa faktor yang menjadi penyebab menurunnya produktivitas hasil produksi dengan menggunakan diagram sebab akibat dan metode Failure Mode and Effect Analysis (FMEA) sehingga dapat dilakukan langkah-langkah perbaikan. Berdasarkan perhitungan Overall Equipment Effetiviness (OEE) pada Mesin Perfect Binding, periode April-Juni 2016 dibandingkan dengan periode April-Juni 2017, didapatkan hasil terjadi peningkatan di bulan April 2017 sebesar 2,24%, di bulan Mei 2017 sebesar 11,88%, dan di bulan Juni 2017 sebesar 4,53%. Secara umum pencapaian OEE meningkat tetapi belum mencapai kriteria World Class OEE. Rendahnya nilai OEE disebabkan oleh 4 faktor yaitu pengetahuan operator tentang mesin kurang (Manusia), temperatur lem tidak stabil (Mesin), vendor terlambat supply (Material), dan waktu ganti pisau tidak efisien (Metode).
Perancangan Ulang Tata Letak Fasilitas Produksi Stainless Steel Menggunakan Metode SLP dan CRAFT Noer, Muhammad Fatra; Perdana, Surya; Rahman, Arif
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 1 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i1.24477

Abstract

CV. Asta Karya Abadi is a manufacturing industry that operates as a supplier of quality stainless steel products. Poor layout design in factories causes cross movement between departments and results in excessive total material movement, for this reason this research aims to redesign work stations. To solve the facility layout problem at CV Asta Karya Abadi, the SLP and CRAFT methods, as well as Promodel Software, were used. Based on the actual layout, the total displacement moment is 285,948 m/ 3 months, the displacement moment value in the proposed layout using the SLP method has a value of 194,298 m/ 3 months and the CRAFT method has a value of 280,729 m/ 3 months. Redesign the layout of production facilities at CV. Asta Karya Abadi, which was built, succeeded in arranging work station provisions so that an efficient process flow was formed. It can be proven from the results of the pro model simulation that the process flow is U-shaped and there is no cross movement between departments.
Analisis Optimasi Penugasan Operator Laboratorium Pengujian dalam Meningkatkan Produktivitas Kerja dengan Menggunakan Metode Hungarian Fortuna, Edo; Rahman, Arif; Janudin, Janudin
Jurnal Optimasi Teknik Industri (JOTI) Vol 6, No 2 (2024)
Publisher : Teknik Industri Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/joti.v6i2.24332

Abstract

Penelitian ini bertujuan untuk mengoptimalkan penugasan operator di Laboratorium Konversi Energi (LKE) Badan Riset dan Inovasi Nasional (BRIN) dalam pengujian modul fotovoltaik. Pertumbuhan industri dan kebutuhan regulasi Standar Nasional Indonesia (SNI) yang harus melalui beberapa layanan uji guna dapat dikomersialkan atau menjadi daya saing produk lokal bahkan internasional. Banyaknya permintaan pengujian dari mitra industri menyebabkan antrean sampel yang panjang dan penundaan pengujian akibat keterbatasan jumlah operator. Setiap operator memiliki kecepatan kerja yang berbeda, yang menyebabkan ketidakefisienan dan keterlambatan. Metode Hungarian diterapkan untuk meminimalkan waktu pengujian dan meningkatkan efisiensi kerja. Data waktu kerja operator diolah dalam bentuk matriks dan diselesaikan menggunakan metode Hungarian serta divalidasi dengan aplikasi LINGO. Hasil penelitian menunjukkan bahwa total waktu pengujian dapat diminimalkan hingga 50 menit dengan penugasan optimal: operator A pada Sun Testing, operator B pada Visual Testing, operator C pada Heating Testing, operator D pada Outdoor Testing, dan operator E pada Chamber Testing. Penugasan yang sesuai dengan keahlian dan pengalaman operator terbukti meningkatkan efisiensi proses pengujian dan produktivitas laboratorium secara signifikan. Oleh karena itu, penerapan metode penugasan yang optimal sangat penting untuk memastikan konsistensi dan efisiensi dalam pelaksanaan pengujian fotovoltaik di laboratorium LKE BRIN.
Co-Authors FARAH FAHMA Fortuna, Edo Janudin Janudin Noer, Muhammad Fatra Surya Perdana