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All Journal Journal Transformation of Mandalika Journal of Scientech Research and Development Jurnal Teknik Industri Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Central Publisher Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Ilmiah Research Student Jurnal Sains Student Research Journal of Management and Innovation Entrepreneurship (JMIE) Jurnal Ilmiah Nusantara International Journal of Mechanical, Electrical and Civil Engineering Scripta Technica: Journal of Engineering and Applied Technology Inventa: Journal of Science, Technology, and Innovation Journal of Industrial Engineering Inspiration
Yudi Prastyo
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Analisis Akar Masalah Noise pada Instrument Panel (Dashboard) Kendaraan Menggunakan Pendekatan Why-Why Analysis dan Fishbone Diagram Sifha Awaludin; Muh Amirudin; Yudi Prastyo
Journal of Engineering and Applied Technology Vol 1 No 2 (2025): December: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/t7frmw90

Abstract

Noise issues in vehicle instrument panels remain a critical challenge in automotive interior quality, particularly in the form of rattle and squeak phenomena that affect customer perception and product reliability. This study examines the root causes of instrument panel noise through an integrated application of Why-Why Analysis and Fishbone Diagram. The research is based on an in-depth analysis of documented manufacturing practices, dimensional variability, material behavior, and assembly conditions commonly encountered in automotive production. The findings indicate that noise generation is primarily driven by inconsistent dimensional gaps resulting from process variability rather than design deficiencies alone. Why-Why Analysis reveals that inadequate fixture maintenance, inconsistent adherence to standard operating procedures, and limited sensitivity in quality control systems represent the most dominant root causes. The Fishbone Diagram further demonstrates how human factors, equipment condition, material characteristics, measurement limitations, assembly methods, and environmental conditions interact to amplify noise risks. By combining both analytical approaches, the study provides a comprehensive understanding of the mechanisms behind instrument panel noise and highlights the importance of holistic process control and continuous improvement strategies to achieve sustainable NVH performance.    
Menerapkan Metode PDCA dalam Menganalisis Strategi Optimasi dan Cost Down dalam Peningkatan Efisiensi Operasional di Perusahaan Otomotif Intan Mutiara I.; Alya Intan S.; Zharfan R.; Silwa A.; Yudi Prastyo
Journal of Science, Technology, and Innovation Vol 1 No 2 (2025): December: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/e5e4n124

Abstract

This study examines the application of the Plan-Do-Check-Act (PDCA) method in analyzing optimization strategies and cost down initiatives to improve operational efficiency in an automotive company. A qualitative descriptive approach was employed using internal company documents, cost reports, and process improvement records related to packing activities. The findings reveal that the implementation of PDCA enabled the company to identify non-value-added activities, optimize packing materials, and redesign packaging processes without compromising product quality. As a result, annual packing costs were reduced from Rp 65,642,400 to Rp 21,694,500, generating total savings of Rp 43,947,900. The results demonstrate that systematic process evaluation and continuous improvement contribute significantly to cost efficiency and operational stability. Furthermore, the integration of PDCA with cost down strategies strengthens coordination between operational and financial functions, supporting more effective managerial decision-making. This study confirms that PDCA is a practical and replicable framework for enhancing operational efficiency and cost control in the automotive manufacturing industry.
Kontribusi Human dan Sistem Gudang terhadap Ketidak Sesuaian Stok Inventory Ferdian kosagiama; Muhamad Fian; Damar Eulan; Muhamad Ilham; Yudi Prastyo
Journal of Science, Technology, and Innovation Vol 1 No 2 (2025): December: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/56x2tv43

Abstract

Inventory record inaccuracy remains a critical challenge in warehouse operations due to the complex interaction between human factors and warehouse systems. This study aims to analyze the contribution of human and warehouse system factors to inventory stock discrepancies at PT. LOGISTIC’s warehouse using a descriptive–analytical case study approach. The research adopts the DMAIC framework combined with root cause analysis to identify operational weaknesses affecting inventory accuracy. The results indicate that human-related issues, including data input errors, non-compliance with standard operating procedures, and limited verification practices, constitute the dominant sources of inventory discrepancies. In parallel, warehouse system limitations such as delayed WMS synchronization, scanner reliability issues, and insufficient system validation mechanisms significantly contribute to data inaccuracies. The improvement in inventory accuracy from 97.45 percent in the first count to 98.55 percent in the second count demonstrates that manual verification remains essential, highlighting the reactive nature of existing control mechanisms. These findings suggest that effective inventory control requires an integrated approach that aligns human competence, standardized operational processes, and system optimization to achieve sustainable inventory accuracy.
Improvement of the Early, Middle and Final Patrol Check Process From Manual to Digital with the PDCA Method, Fishbone Diagram, and Why-Why Analysis at PT. Automotive Components Company Chairul Alfatory; Bintang Rafly Aryansyah; Mahendra Mahendra; Andhika Danisvara; Yudi Prastyo
International Journal of Mechanical, Electrical and Civil Engineering Vol. 3 No. 1 (2026): January : International Journal of Mechanical, Electrical and Civil Engineering
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmecie.v3i1.386

Abstract

The Checksheet process at PT. Automotive component companies are an important activity to maintain quality consistency in the production of automotive components, especially brackets. However, the inspection method that is still carried out manually causes waste of time, high use of paper, and increased operational costs. This study aims to reduce the cycle time of Patrol Check A-T-A, implement a digital (paperless) recording system, and improve process efficiency through the PDCA (Plan-Do-Check-Act) approach, Fishbone Diagram, and Why-Why Analysis. The results of the identification of the root of the problem show that the absence of a standardized digital system and the lack of management initiatives are the main causes of the long inspection process and high paper consumption. The implementation of E-Checksheet as a digital solution resulted in a significant reduction in cycle time, from 50 minutes to 10 minutes, as well as eliminating paper use by up to 100%. In addition, workflows become simpler, data is easier to monitor, and processes become more efficient. This study concludes that the digitization of Checksheet is able to increase operational effectiveness, reduce waste, and support continuous improvement in the manufacturing environment.
Analisis Pengambilan Keputusan Beli Atau Sewa Mesin Las Dengan Metode LCC, NPV dan BEP di PT. B Syafrian Eko Nugroho; Andriyas Sugiarto; Mochamad Refly Robiansyah; Alvi Octavianto; Yudi Prastyo
Journal of Industrial Engineering Inspiration (JIEI) Vol 1 No 1 (2025): JIEI May 2025
Publisher : Yayasan Inspirasi Bermanfaat Selamanya / Inspirasi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66152/jiei.v1i1.8

Abstract

Dalam industri manufaktur yang kompetitif, efisiensi operasional menjadi faktor penentu keberhasilan perusahaan. Penelitian ini bertujuan untuk menganalisis efisiensi finansial antara opsi pembelian dan penyewaan mesin las di Perusahaan XYZ, yang bergerak di bidang manufaktur untuk mendukung industri minyak dan gas. Metode Life Cycle Cost (LCC) , Net Present Value (NPV) , dan Break-Even Point (BEP) digunakan untuk menentukan opsi yang paling ekonomis. Hasil penelitian menunjukkan bahwa pembelian mesin las lebih efisien secara finansial dibandingkan penyewaan dalam jangka panjang. Analisis LCC menunjukkan biaya pembelian lebih rendah (Rp 348.725.617) dibandingkan sewa (Rp 1.624.088.971). NPV pembelian juga lebih tinggi (+1,863,106,000) dibandingkan sewa (+589.824.000), dengan BEP pembelian 9,5 bulan. Keputusan pembelian mesin las dinilai tepat dan akan memberikan kontribusi lebih terhadap keuntungan perusahaan.
PENGENDALIAN KUALITAS PROSES PRODUKSI INJECTION MOLDING KOMPONEN OTOMOTIF DI INDUSTRI MANUFACTUR DENGAN METODE SIX SIGMA PT XYZ Ramadhani, Rizky; Muhammad Daffa Ichsan; Ziqhi Nurrahman; Muhammad Bintang Aditya Azzami; Yudi Prastyo
Journal of Industrial Engineering Inspiration (JIEI) Vol 1 No 1 (2025): JIEI May 2025
Publisher : Yayasan Inspirasi Bermanfaat Selamanya / Inspirasi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66152/jiei.v1i1.18

Abstract

Dalam industri manufaktur otomotif, kualitas produk menjadi faktor krusial yang menentukan daya saing dan kepuasan pelanggan. Salah satu metode yang terbukti efektif dalam pengendalian kualitas adalah Six Sigma, yang berfokus pada reduksi variasi proses dan peningkatan kapabilitas produksi. Penelitian ini bertujuan untuk mengkaji penerapan metode Six Sigma dalam mengendalikan kualitas proses injection molding pada produksi komponen otomotif di PT XYZ, serta mengevaluasi dampaknya terhadap efisiensi produksi dan tingkat cacat produk. Pendekatan yang dipakai dalam penelitian ini menggunakan metode DMAIC (Define, Measure, Analyze, Improve, Control). Temuan penelitian mengindikasikan bahwa penerapan Six Sigma berhasil mengurangi jumlah produk cacat secara signifikan, dari 4.8% sebelum perbaikan menjadi 2.62% setelah perbaikan, serta meningkatkan nilai perhitungan sigma dari 3.75σ sebelum perbaikan menjadi 3.98σ setelah perbaikan. Perbaikan ini berkontribusi pada peningkatan yield rate, optimalisasi efisiensi produksi, serta pengurangan pemborosan material. Selain itu, implementasi metode ini turut berperan dalam peningkatan kepuasan pelanggan melalui perbaikan mutu produk. Kesimpulan dari penelitian ini menegaskan bahwa Six Sigma merupakan metode yang efektif dalam pengendalian kualitas proses injection molding, yang tidak hanya meningkatkan mutu produk tetapi juga efisiensi operasional. Dengan menekan variasi proses dan mengoptimalkan kapabilitas produksi, metode ini membantu perusahaan dalam mencapai standar kualitas yang lebih tinggi serta meningkatkan daya saing di industri manufaktur otomotif.
STRATEGI OPTIMALISASI PENGENDALIAN PERSEDIAAN BAHAN BAKU MELALUI PENDEKATAAN ALWAYS BETTER CONTROL (ABC) DAN ECONOMIC ORDER QUANTITY (EOQ) PADA GUDANG PT XYZ Rizki Saputra; Suhendra; Yudi Prastyo
Journal of Scientech Research and Development Vol 7 No 2 (2025): JSRD, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v7i2.1515

Abstract

Pengendalian persediaan bahan baku berperan penting dalam menjaga kelancaran produksi dan efisiensi biaya pada perusahaan manufaktur. PT XYZ masih mengalami permasalahan persediaan berupa kelebihan dan kekurangan stok akibat belum optimalnya penentuan prioritas bahan baku dan jumlah pemesanan. Penelitian ini bertujuan untuk mengoptimalkan pengendalian persediaan bahan baku melalui penerapan metode Always Better Control (ABC) dan Economic Order Quantity (EOQ). Metode ABC mengklasifikasikan 11 jenis bahan baku dan menghasilkan 4 bahan baku kategori A sebagai prioritas pengendalian. Selanjutnya, metode EOQ diterapkan pada bahan baku kategori A untuk menentukan jumlah dan frekuensi pemesanan yang paling ekonomis. Penelitian ini menggunakan pendekatan deskriptif kuantitatif dengan data primer dan sekunder yang bersumber dari sistem Enterprise Resource Planning (ERP) perusahaan. Hasil penelitian menunjukkan bahwa penerapan metode EOQ mampu menurunkan Total Inventory Cost (TIC) sebesar 32,1% atau Rp8.113.618 dibandingkan dengan metode perusahaan sebelumnya, sehingga pengendalian persediaan menjadi lebih efisien dan terkontrol.
Co-Authors Adam Maulana Irfan Ade Setiawan Adhi Danar Dono Adi Supriadi AGUS SETIAWAN Agus Yoga Nafasa Ahmad Fathurrahman Aji Wijayanto Aldi Allaudin alfian, Edi Alvi Octavianto Alya Intan S. Anas Nurrahman Andhika Danisvara Andi Nugroho Andriyas Sugiarto Anggit Nur Fauzy Anugrah Ramadhani Hidayah Warman Arul, Arul Aulia Deswita Bintang Dermawan Bintang Rafly Aryansyah Chairul Alfatory Damar Eulan Dava Septiawan Devito Syachputra Dhimas Ramdhanni Dimas Alam Firmansyah Dimas Ariyanda Dimas Hardiansyah Dionisius Tegar Cahyadi Faiz El Farisi Fajar Jumadil Fadillah Farid Azis Saputra Ferdian kosagiama Feriyansah Feriyansah Ferry Budi Firmansyah Hafid Yuhafidin Hanif Zulfi Fauzan Hardy Setiawan Hilmi Rabbani Ferdi Hilmy Fauzi Hilmy Fauzy Intan Mutiara I. Irvan Firdaus Jimmy Alfaruqi Ramadan Juliansyah, Eko Lalang Dintara Lastri Sulastri Lintang Putri Yuansyah Mahendra Mahendra MD. Rafifallah Mochamad Refly Robiansyah Mualim soleh Muh Amirudin Muhamad Annur Muhamad Fian Muhamad ilham Muhammad Adha Zidane Syahputra Andry Muhammad Bintang Aditya Azzami Muhammad Daffa Ichsan Muhammad Naufal Herdian Muhammad Zidan Inprasepta Muslihun Muslihun Nandana Malik Prayata Naufal Fadli Efendi Nauval Fakhri Ardiansyah Rafli Alfariz Hadiansyah Ramadan, Gilang Ramadhani, Rizky Reyhandi Reza Aurora S Riska Anggun Sucianingrum Rizki Saputra Rizky Ramdani Miftahul Fadilah Shofiyaturrahmah Shofiyaturrahmah Sifha Awaludin Sikus Wanda Silwa A. Suhendra Syafrian Eko Nugroho Syahrul Mubarok Taufiq Siamuddin Tio Ramadan Triana Ambarwati WIJAYANTO WIJAYANTO Yuni Anggita Putri Zharfan R. Ziqhi Nurrahman