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All Journal Jurnal Teknologi dan Manajemen Industri Terapan JPNM : Jurnal Pustaka Nusantara Multidisiplin Review: Journal of Multidisciplinary in Social Sciences Jurnal Sains dan Teknologi Jurnal Ragam Pengabdian Jejak digital: Jurnal Ilmiah Multidisiplin Scripta Technica: Journal of Engineering and Applied Technology Inventa: Journal of Science, Technology, and Innovation
Yudi Prastyo
Universitas Pelita Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Physics Social Sciences Transportation Other

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Analisis Waktu Baku Proses Visual Inspection Appearance After Coating Menggunakan Metode Stopwatch Time Study dan MOST pada Industri Manufaktur Otomotif Ade Surya Rachmawan; Bayu Putra Nur Pratama; Fernanda Aprian; Hamzah Sodikin; Yudi Prastyo
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 3 (2026): July : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i3.1368

Abstract

Industri manufaktur komponen otomotif dituntut untuk menjaga standar kualitas yang tinggi, salah satunya melalui proses visual inspection yang menjadi tahapan kritis dalam pengendalian kualitas produk. Penelitian ini dilakukan di Perusahaan Otomotif Indonesia dengan fokus pada proses Visual Inspection Appearance After Coating. Permasalahan yang dihadapi adalah belum tersedianya waktu baku terstandar untuk proses inspeksi visual, sehingga berdampak pada sulitnya penentuan kapasitas produksi aktual dan identifikasi bottleneck proses. Penelitian menggunakan pendekatan deskriptif kuantitatif dengan pengukuran waktu kerja pada sembilan elemen kerja. Hasil pengukuran langsung menunjukkan cycle time sebesar 21,24 detik per part, dan setelah penambahan allowance 15%, diperoleh waktu baku sebesar 24,43 detik per part. Metode MOST menghasilkan waktu kerja 27,36 detik per part dengan selisih 12% terhadap metode stopwatch, yang membuktikan validitas kedua metode (di bawah 15%). Kapasitas produksi aktual sebesar 1.176 part per hari dengan efisiensi operator 86,9%. Bottleneck utama adalah aktivitas pemeriksaan coating visual (56,5% dari total cycle time).
The Relationship of Workload and Shift Systems with Operator Fatigue Levels at PT XYZ M. Khafid Ramadhon; Ariel Dwi Putra; Rizky Febriansyah; Rossy Ruwandra; Yudi Prastyo
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 3 (2026): July : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i3.1422

Abstract

Work fatigue is a common problem in the manufacturing industry, especially in jobs with high physical activity and shift work systems. This study aims to determine the relationship between workload and work shifts on the level of operator fatigue at PT XYZ, a casting component manufacturing company that operates 24 hours with three shift systems. The study used an analytical observational method with a cross-sectional approach to 30 operators selected through total sampling techniques in the period October–November 2025. Data was obtained through questionnaires and analyzed using Spearman Rank and Chi-Square tests. The results show that most operators have workloads and fatigue levels in the medium to severe category. Statistical analysis showed a significant relationship between workload and fatigue level (p = 0.001; r = 0.610) as well as a significant relationship between work shifts and fatigue level (p = 0.018). Thus, it can be concluded that workload and shift work systems affect the level of operator fatigue so that better work management and shift management are needed to reduce the risk of work fatigue.
Analysis of Kaizen Implementation with Pareto Approach, Fishbone Diagram & Oee to Reduce Defects in Electronics Industry Assembly Production Line Reza Kholil Yusni; Yunita Yunita; Muhammad Ibel; Asroni Asroni; Reno Agusto; Yudi Prastyo
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/3wvyxk62

Abstract

The high defect rate in the assembly production line of the electronic manufacturing industry is a crucial problem that has an impact on reducing product quality and production efficiency. Based on company data, the defect rate in 2022 reached 12% with the dominant types of defects in the form of solder, bridging, missing components, and cold solder. This study aims to analyze the application of Kaizen as an effort for continuous improvement in reducing defects and increasing productivity. The methods used include Pareto analysis to determine the priority of problems, fishbone diagrams to identify the root cause of defects, and Overall Equipment Effectiveness (OEE) to evaluate the performance of the production system. The research data was obtained in the 2022–2025 period. The results show that the implementation of Kaizen is able to significantly reduce defects to 2% by 2025, increase production output from 400 to 700 units per day, and reduce downtime from 2 hours to 0.5 hours per day, with an OEE value of 71.4% which indicates an increase in production effectiveness. Thus, the application of Kaizen supported by the Pareto method, fishbone diagram, and OEE has proven to be effective in improving product quality and operational efficiency in a sustainable manner.
Analisis Pengendalian Kualitas untuk Mengurangi Produk NG Menggunakan QC Seven Tools pada Proses Produksi Injection Molding di Perusahaan Otomotif di Indonesia Yusup Purnomo; Rismawati Pebriani; Ikhsan Dwi Nugroho; Vicky Adni Firmansyah; Yudi Prastyo
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/9ehyd045

Abstract

Quality control is an important aspect of maintaining product quality in the manufacturing industry. A high number of defective or Not Good (NG) products can lead to increased production costs as well as decreased efficiency and customer satisfaction. Therefore, an appropriate analysis is needed to identify and reduce the defect rate in the production process. This study aims to analyze quality control efforts in reducing NG products in the injection molding process at an automotive company in Indonesia using the QC Seven Tools method. The data used consisted of 22 days of production data with a total production output of 7,700 pcs and 835 defective products, resulting in a defect rate of 10.84%. The results of the study indicate that the dominant defects are burry (42%) and scratch (30%), which contribute 72% of the total defects. The main causes originate from human and machine factors. The production process is still under control; however, there are variations that need attention. The implementation of QC Seven Tools proved effective in identifying the causes of defects and providing improvement recommendations to enhance product quality.
Analysis of QRQC Meeting Effectiveness Using The PDCA Method To Increase The Quality Rate in An Indonesian Automotive Company Firman Firdaus; Wahyu Darmawan; Ferdian Setia Nugraha; Aldi Ilham Saputra; Yudi Prastyo
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/y8bhaw34

Abstract

Fierce competition within the automotive industry in Indonesia demands perfect quality standards, however, in reality, production lines frequently encounter efficiency constraints that result in a low quality rate. This research is motivated by the initial condition of an automotive company possessing a quality rate of 50%, where the quality problem-solving process remained reactive and unstructured. The purpose of this study is to evaluate the effectiveness of Quick Response Quality Control (QRQC) meetings through the integration of the Plan-Do-Check-Act (PDCA) method to increase the quality rate toward a maximum target of 100%. The research method employed is a case study approach featuring direct observations in the Genba area (the actual workplace) and the analysis of historical production data. The data processing results indicate that through a disciplined PDCA cycle—ranging from root cause identification using a Fishbone Diagram to the standardization of operational procedures—a significant improvement in quality performance was achieved. Post-implementation calculation data demonstrates an increase in the quality rate from 50% to 94.5%, alongside a reduction in problem-solving time from 3 days to a mere 4 hours. The discussion of the results indicates that the key to success lies in the synchronization between a rapid response on the production floor and the validation of physical data (real parts). The conclusion of this study confirms that implementing the PDCA method within the QRQC framework is not only effective in instantly rectifying product defects, but is also capable of establishing a sustainable mitigation system. Although the 100% target represents an operationally challenging achievement, this system has successfully steered the company out of its quality inefficiency zone.
Analisis Penyebab Tingginya Reject Produk pada Area Warehouse Menggunakan Metode Pareto, 5 Why Analysis, dan Fishbone Diagram Rizal Deokosta; Muhammad Ifdol; Hilman Mubarik Aziz; Immanuel Wijaya Huwae; Yudi Prastyo
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/5ev5xv84

Abstract

The high rate of product rejection within the warehouse area compromises spatial efficiency and escalates logistics expenses in automotive manufacturing. This empirical study constructs a structured diagnostic interventional framework using Pareto charts, Fishbone diagrams, and 5 Why analysis to mitigate storage quality failures. Baseline evaluations revealed that the initial defect rate peaked at 5.20% (520 rejected units), significantly violating the 3.0% corporate tolerance threshold, with material damage and misplacement contributing a substantial 76.92% cumulative total. To address these layout and procedural root causes, engineering interventions were deployed, including warehouse redesign, shared storage, rigid pallet stacking limitations, standardized visual labeling, and operator competency training. Post intervention comparative analysis demonstrated an exceptional recovery in operational reliability, successfully driving the rejection rate down to 2.8% (280 units). This systematic reduction demonstrates the robust efficacy of integrating statistical quality metrics with spatial engineering to achieve sustainable operational excellence in modern industrial warehousing.  
Co-Authors Ade Bagas Kusuma Ade Surya Rachmawan Ahmad Fauzi Ahmad Syarifudin Aldi Ilham Saputra Andry Putra Pratama Anggita Muhamad Maulana Ariel Dwi Putra Asep Hidayat Asroni Asroni Bagus Pamungkas Bayu Putra Nur Pratama Dony Bayu Leksono Dwi Ayu Puspita Sari Erwin Setiawan Fajar Dwi Prasetiyo Fajriyah Amanatus Sholikhah Faqih Sidik Muttaqin Ferdian Setia Nugraha Fernanda Aprian Firman Firdaus Hamzah Sodikin Heru Darmawan Hilman Mubarik Aziz Ikhsan Dwi Nugroho Immanuel Wijaya Huwae Like Andreas Kindangen M. Khafid Ramadhon Melco Wanjaya Monika Lestari Muhamad Tegar Maulana Muhammad Asyraf Hisyam Hidayat Muhammad Ibel Muhammad Ifdol Muhammad Rizki Abdul Aziz Nailla Dwi Rizkia Niki Farras Al Ghalidza Vannie Rangga Arisandy Reno Agusto Revanza Fitra Hamdany Reza Kholil Yusni Ria Sri Amelia Ridzqi Alfauji Rismawati Pebriani Rizal Deokosta Rizky Febriansyah Rossy Ruwandra Sabilla Sholiah Setiawan Laia Suhendra Vicky Adni Firmansyah Wahyu Darmawan Yoga Pratama Yunita Yunita Yunus Yunus Yusuf Eka Setiawan Yusup Purnomo