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Agus Andriyansyah
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Analisis Faktor Penyebab Kontaminasi Material Dengan Metode FMEA: (Studi Kasus: PT Cataler Indonesia ) Ahmad Arya Rahmadin; Fibi Eko Putra; Agus Andriyansyah
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 2 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i2.1873

Abstract

Kontaminasi material slurry pada proses produksi dapat menyebabkan penurunan kualitas produk serta meningkatkan risiko cacat produksi. Penelitian ini bertujuan untuk mengidentifikasi faktor penyebab kontaminasi serta menentukan prioritas perbaikan menggunakan metode Failure Mode and Effect Analysis (FMEA), Fishbone Diagram, dan analisis 5W+1H. Data diperoleh melalui observasi lapangan, wawancara dengan leader produksi, serta dokumentasi perusahaan. Hasil penelitian menunjukkan bahwa faktor utama penyebab kontaminasi berasal dari aspek manusia, metode, mesin, material, dan lingkungan. Berdasarkan analisis FMEA, diperoleh nilai Risk Priority Number (RPN) tertinggi pada faktor kebersihan alat dan prosedur kerja yang tidak konsisten. Rekomendasi perbaikan difokuskan pada peningkatan standar operasional prosedur (SOP), pelatihan operator, serta pengendalian lingkungan produksi. Implementasi perbaikan diharapkan mampu menurunkan risiko kontaminasi secara signifikan.
Analisis Defect Painting Pada Proses Pengecatan Tanki Mobil Dengan Menggunakan Metode Six Sigma (DMAIC) Hendra Setiawan; Agus Andriyansyah; Mega Purnamasari
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 3 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i3.1973

Abstract

Ketidaksempurnaan pada proses pengecatan komponen otomotif dapat menurunkan ketahanan fisik produk terhadap korosi serta memicu peningkatan biaya operasional akibat pengerjaan ulang. Penelitian ini bertujuan untuk mengidentifikasi akar penyebab kegagalan proses pelapisan tangki mobil serta merumuskan strategi perbaikan berbasis metode Six Sigma dengan kerangka kerja DMAIC pada PT. XYZ. Evaluasi kuantitatif dilakukan terhadap data produksi periode Januari hingga Maret 2026. Hasil pengolahan data menunjukkan kualitas proses aktual perusahaan berada pada tingkat 2,92 sigma dengan nilai Defects Per Million Opportunities (DPMO) sebesar 78.400. Melalui analisis diagram Pareto, ditemukan bahwa jenis cacat yang paling mendominasi adalah lapisan cat tipis dengan kontribusi sebesar 47,84% dari total kegagalan. Hasil analisis diagram Fishbone mengonfirmasi bahwa penyimpangan ini dipicu oleh ketidaktelitian operator, inkonsistensi tekanan pada perangkat spray gun, serta variasi viskositas material cat. Rekomendasi perbaikan yang diusulkan meliputi standardisasi ulang pengaturan alat semprot, pelatihan intensif bagi tenaga kerja, dan penyusunan Standar Operasional Prosedur (SOP) pengendalian kualitas yang baru untuk mengunci konsistensi performa proses secara berkelanjutan.
Analysis Kualitas Handle Seat Track Adjuster Menggunakan Metode Six Sigma dengan Pendekatan Dmaic di PT XYZ Muhamad Linsyi Daissurur; Fibi Eko Putra; Agus Andriyansyah
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 3 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i3.8355

Abstract

PT XYZ is a manufacturing industry that operates in the field of automotive component production, especially handle seat track adjuster which functions as a part for adjusting the position of the seat of a four-wheeled vehicle. The problem faced by the company is the high level of product defects due to the manufacturing process stamping and bending which is not yet optimal. There are three types defect the main thing is burry, not enough bending, and the material expands, with defect burry as the largest contributor, reaching 370 units out of a total production of 20,700 units. From October to December, the highest product defect rate occurred in December, with a percentage of 3.84%. This study aims to analyze and propose improvements to reduce the defect rate using the Six Sigma method with the DMAIC approach (Define, Measure, Analyze, Improve, Control). Analysis using Pareto diagrams and fishbone diagram shows that the main cause defect derived from machine, method, material, and human factors. The results of the study show an average value defect of 2.85% with a DPMO of 9,530.42 and a sigma level of 3.87. The proposed improvements are focused on maintenance dies, standardization of machine parameters, material quality control, and increasing operator competence.
Analisis Efektivitas Metode FMEA dalam Pengendalian Kualitas Proses Produksi Untuk Mengurangi Produk Cacat pada PT. XYZ Abdillah Gani Ramadhan; Fibi Eko Putra; Agus Andriyansyah
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 3 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i3.8604

Abstract

Quality control in manufacturing industries cannot be separated from the interaction between workers, machines, and work procedures, since most production failures stem not only from technical malfunctions but also from the dynamics of the socio-technical system as a whole. PT. XYZ, a paint manufacturing company in Bekasi, West Java, continues to face persistent defective product problems. Based on production data from January to October 2025, the number of defective products reached 625 units, representing 4.84% of total production of 12,977 units, which far exceeds the company's maximum tolerance standard of 2% per year. The two most dominant types of defects identified are color inconsistency with the established standard and the formation of bubbles on the paint product surface. This study aims to identify the types and causes of defective products, determine the most dominant risk factors, and formulate systematic improvement proposals. The Failure Mode and Effect Analysis (FMEA) method was applied to prioritize risks based on the Risk Priority Number (RPN), supported by the Pareto Diagram, Fishbone Diagram, and 5W+1H analysis. The results show that three causes were classified as critical, all exceeding the average RPN of 199.5: human error (RPN = 240), non-standard raw materials (RPN = 216), and poor product viscosity (RPN = 210). Improvement recommendations include routine operator training, consistent SOP enforcement, tighter raw material inspection, regular machine calibration, and strengthening inter-divisional communication between Warehouse, Quality Control, and Production divisions to reduce the defect rate below the 2% company standard.
Co-Authors Abdillah Gani Ramadhan Ahmad Arya Rahmadin Fibi Eko Putra Hendra Setiawan Mega Purnamasari Muhamad Linsyi Daissurur