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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) JKIE (Journal Knowledge Industrial Engineering) G-Tech : Jurnal Teknologi Terapan
Yulizan Rizki
Universitas Teknologi Nusantara, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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PENGARUH PERSEPSI KUALITAS TERHADAP KEINGINAN MEMBELI PRODUK OTOMOTIF DI ERA PANDEMI COVID-19 DENGAN PROMOSI DAN BRAND IMAGE SEBAGAI VARIABEL MODERATING Muhammad Ibrahim Ats-Tsauri; Muhammad Syahri Nur Afif; Yulizan Rizki; Alfa Firdaus
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 16, No 1 (2022): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.703 KB) | DOI: 10.22441/pasti.2022.v16i1.006

Abstract

Pandemi COVID-19 telah memberikan dampak besar pada penjualan produk otomotif. Kontribusi industri manufaktur mobil terhadap PDB pada 2020 tercatat mengalami penurunan sebesar 14,10% atau setara Rp 23,7 triliun. Hal ini karena penjualan mobil mengalami penurunan 48.4%. Penelitian ini bertujuan untuk mengetahui pengaruh persepsi kualitas terhadap keinginan membeli produk otomotif di era pandemi COVID-19 dengan promosi dan brand image sebagai variabel moderating. Variabel yang dipilih adalah persepsi kualitas produk dan keinginan membeli, dengan promosi dan brand image sebagai variabel moderating. Uji statistik dan pengolahan data dilakukan dengan metoda SEM-PLS pada software SmartPLS 3.0, disertai dengan bootstrapping. Temuan penelitian menunjukan bahwa: (1) Persepsi kualitas berpengaruh secara moderat terhadap promosi; (2) Persepsi kualitas berpengaruh secara moderat terhadap keinginan membeli; (3) Persepsi kualitas tidak berpengaruh terhadap brand image; (4) Promosi berpengaruh secara moderat terhadap brand image; (5) Promosi tidak memiliki pengaruh terhadap keinginan membeli; dan (6) Brand image berpengaruh secara moderat terhadap keinginan membeli.
Analysis Capability Process of Fuel Tank Production: A Case Study in Manufacturing Industry Very Fernando; Indra Setiawan; Yulizan Rizki; Humiras Hardi Purba; Fahriza Nurul Azizah; Isdaryanto Iskandar

Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v9i1.2919

Abstract

The competition in the automotive industry is increasingly challenging, where the company's task of ensuring customers are satisfied with the products we produce is the main factor in winning them. That is the value of the manufacturing industry to continuously improve quality. This study aims to reduce the reject rate and determine the priority of problems in the fuel tank production process. This study uses the six sigma method based on a simple problem-solving methodology consisting of Define, Measure, Analyze, Improve and Control. This method combines various statistical tools and other process improvement approaches. The results of this study show that the company's Sigma level in February carried out in the welding & press section obtained a sigma value of 4.0 and process capability of 1.34. This means that the quality control process that has been carried out has not been going well because the product is defective and still needs to be improved. Finally, this paper provides some recommendations for improving process capability.
Analisis Penyebab Cacat Produk pada Proses Produksi Polyster dengan Metode Six Sigma Yulizan Rizki; Imam Maulana Firdaus
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3968

Abstract

Along with current technological developments, national companies are encouraged to carry out updates and innovations in quality control, especially in producing high quality and high competitiveness. Quality control aims to achieve zero defect levels, including that carried out by PT. Argatha Jaya currently. This research aims to reduce the reject rate and determine priority problems in the polyester production process. This research uses the six sigma method based on a simple problem solving methodology consisting of Define, Measure, Analyze, Improve and Control. This method combines various statistical tools and other process improvement approaches. The results of this research show that the company's Sigma level in July 2020, which was carried out on the Polyster unit, obtained a value of 3.59. These results illustrate that quality control is not optimal and improving it requires prioritization with FMEA analysis which can detect failed products in a particular process
Co-Authors Alfa Firdaus Fahriza Nurul Azizah Humiras Hardi Purba Imam Maulana Firdaus Isdaryanto Iskandar Muhammad Ibrahim Ats-Tsauri Muhammad Syahri Nur Afif Setiawan, Indra Very Fernando