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All Journal Journal of Industrial and Engineering System ARMATUR : Artikel Teknik Mesin dan Manufaktur Bulletin of Information Technology (BIT) Jurnal Sains dan Teknologi Jurnal Teknologi dan Manajemen Industri Terapan Journal of Creative Student Research Journal of Artificial Intelligence and Digital Business Jurnal Ilmiah Multidisiplin Indonesia Jurnal Sains Student Research VIDHEAS: Jurnal Nasional Abdimas Multidisiplin SAINTEK Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Review: Journal of Multidisciplinary in Social Sciences
Fibi Eko Putra
Universitas Pelita Bangsa
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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.
Kerangka Terintegrasi Pareto–FMEA–FTA untuk Pengendalian Kualitas Berbasis Risiko pada Pemesinan Komponen Presisi: Studi Kasus Manufaktur Spinning Spinnerette Alya Rahma Putri; Supriyati; Fibi Eko Putra
ARMATUR : Artikel Teknik Mesin & Manufaktur Vol. 7 No. 2 (2026): Jurnal Armatur (in Progress)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/armatur.v7i2.12036

Abstract

This study aims to identify the dominant defect types, analyze potential failure modes and their associated Risk Priority Numbers, determine the root causes of primary failures, and formulate corrective action recommendations for the machining process of spinning spinnerette products at PT XYZ, Cikarang, Indonesia. A mixed-methods approach was employed, integrating Pareto Chart analysis, Failure Mode and Effect Analysis (FMEA), and Fault Tree Analysis (FTA) sequentially. Data were collected through field observation, structured interviews, FMEA questionnaires, and company documentation covering the period January–December 2025. Pareto Chart analysis revealed that rough surface defects (37.50%), non-conforming hole diameter (25.00%), and clogged holes (20.00%) collectively accounted for 82.50% of total recorded defects. FMEA yielded the highest Risk Priority Number for the rough surface failure mode (RPN = 240), while micro-crack defects recorded the highest Severity rating (S = 9), with an estimated financial loss of IDR 50,000,000.00 per unit. FTA identified that rough surface defects originate from the interaction of four primary factors: cutting tool condition, process parameters, operator competency, and production environment control. The 5W+1H-based corrective recommendations formulated in this study have the potential to reduce financial losses by up to IDR 476,000,000.00 annually and may be adopted as a risk-based quality control model applicable to analogous precision component manufacturing industries.
Integrating Kaizen Culture and Occupational Safety and Health in Enhancing Employee Productivity: A Study in the Precision Manufacturing Industry Muhamad Baharudin; Fibi Eko Putra; Wahyu Hadikristanto
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 07 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The precision component manufacturing industry faces a dual challenge in enhancing productivity while maintaining occupational safety, given that production processes involve machinery and high-risk activities. This study aims to analyze the effect of implementing kaizen culture and Occupational Safety and Health (OSH) on employee productivity, both partially and simultaneously, within the F-Line Department of PT XYZ Indonesia, a manufacturer of spinnerettes for the synthetic fiber industry. A quantitative approach with an explanatory design was applied to 64 respondents selected through saturated sampling technique. Data were collected using a five-point Likert-scale questionnaire, transformed into interval scale data using the Method of Successive Interval (MSI), and subsequently analyzed using multiple linear regression with the assistance of SPSS version 25.0, following validity, reliability, and classical assumption tests—including normality, multicollinearity, and heteroscedasticity. The results indicate that kaizen culture has a positive and significant effect on employee productivity (t = 6.456; p = 0.000), as does OSH (t = 4.642; p = 0.000). Simultaneous testing reveals that both variables significantly affect employee productivity (F = 214.236; p = 0.000), with a coefficient of determination (R2) of 0.875, indicating that 87.5% of the variation in employee productivity is explained by these two variables. Kaizen culture demonstrates a relatively more dominant contribution than OSH. These findings suggest that kaizen culture and OSH are complementary in supporting operational performance. Accordingly, precision manufacturing companies are advised to integrate both programs synergistically—rather than as standalone initiatives—to optimize employee productivity while continuously mitigating the risk of workplace accidents.
AI-Based Pose Detection for Ergonomic Risk Screening in Manual Lifting Tasks Farhan Fadilah; Muhamad Sulaiman Nur Yusuf; Fibi Eko Putra
Review: Journal of Multidisciplinary in Social Sciences Vol. 2 No. 12 (2025): December 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/rjmss.v2i12.1111

Abstract

This study analyzes lifting posture using Artificial Intelligence–based pose detection technology through the APECS: Body Posture Evaluation application as part of the Industry 5.0 framework, which emphasizes human-technology collaboration. A descriptive qualitative method was applied to five Respondents, each photographed once during the initial phase of lifting a load to assess body alignment and joint angles. Results show that four respondents demonstrated ergonomic posture, with an upright back position and proportional knee bending, while one respondents exhibited a non-ergonomic posture with a 37° spinal alignment angle that potentially increases musculoskeletal injury risk. APECS proved useful for providing rapid and objective visualization of posture quality, although it is limited to single-frame analysis and cannot capture dynamic movement changes which makes it most suitable for routine spot-check audits, pre-task coaching, and supporting decisions such as identifying high-risk individuals, prioritizing refresher training, and standardizing simple ergonomic checkpoints rather than diagnosing full movement patterns. Overall, AI-based pose detection shows potential as an effective tool for monitoring workplace posture and improving safety in alignment with ergonomic principles and Industry 5.0 developments by enabling quicker supervisory feedback loops and more consistent documentation of posture quality in regular safety programs.
Klasifikasi Kebutuhan Sparepart Dengan Algoritma K-Nearest Neighbor Untuk Meningkatkan Penjualan Sparepart Virza Putra Virza; Gatot Tri Pranot; Fibi Eko Putra
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.729

Abstract

Adequate supply of spare parts will be a supporting factor for consumer confidence in the company. The classification method approach can be applied in analyzing data to apply data mining with the classification method for spare parts needs generated by utilizing data testing consisting of 100 record datasets with a ratio of 90% training data (training data) and 10% test data (data testing). . Implementation of the K-Nearest Neighbor algorithm model on test data (data testing) of 100 data objects, obtaining results that show a new insight in the form of classification of low and high level needs based on 2 categories. No is a category of light needs, consisting of 89 data objects, the category Yes is a category of high needs. Performance evaluation and testing using the RapidMiner Sstudio application is able to provide optimal results with the scenarios that are modeled. This algorithm model has an Accuracy value of accuracy: 93.00% +/- 6.40% (micro average: 93.00%).
Evaluasi Risiko Keselamatan Kerja Berbasis Metode HIRARC pada Produksi Furniture Ariansyah Ardi Suherman; Fibi Eko Putra; Puput Rahmawati
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.11452

Abstract

Keselamatan dan Kesehatan Kerja (K3) merupakan aspek penting dalam menciptakan lingkungan kerja yang aman, sehat, dan produktif, terutama pada industri furnitur yang memiliki berbagai potensi bahaya akibat penggunaan mesin, peralatan kerja, serta bahan kimia. Namun, penerapan K3 pada industri furnitur skala kecil dan menengah masih menghadapi berbagai kendala, seperti rendahnya kepatuhan penggunaan alat pelindung diri (APD), belum tersedianya standar operasional prosedur (SOP), serta terbatasnya sistem pengendalian risiko. Penelitian ini bertujuan untuk mengidentifikasi potensi bahaya, menilai tingkat risiko kerja, serta menyusun rekomendasi pengendalian risiko pada area produksi CV. Interia Studio menggunakan metode Hazard Identification, Risk Assessment, and Risk Control (HIRARC). Penelitian menggunakan pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa aktivitas pemotongan kayu memiliki tingkat risiko tertinggi dengan skor risiko 16 yang termasuk kategori tinggi, sedangkan aktivitas pengamplasan, pengecatan, dan pengangkatan material berada pada kategori risiko sedang, serta aktivitas perakitan berada pada kategori risiko rendah. Tingginya tingkat risiko dipengaruhi oleh belum optimalnya penggunaan APD, belum adanya SOP tertulis, kurangnya pelatihan K3, serta belum tersedianya fasilitas keselamatan seperti APAR, kotak P3K, dan rambu keselamatan. Berdasarkan hasil analisis HIRARC, rekomendasi pengendalian difokuskan pada penerapan hierarki pengendalian risiko melalui rekayasa teknik, pengendalian administratif, penyediaan APD yang memadai, serta penguatan budaya keselamatan kerja. Implementasi rekomendasi tersebut diharapkan mampu menurunkan tingkat risiko kecelakaan kerja, meningkatkan kepatuhan terhadap penerapan K3, serta mendukung terciptanya lingkungan kerja yang lebih aman dan produktif pada industri furnitur.
Pelatihan Pengelolaan Event Hybrid dan Online bagi Karyawan Event Organizer Nurhadi Surojudin; Sufajar Butsianto; Dwi Indra Prasetya; Fibi Eko Putra; Rizal Ainun Yaqin
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 4 No. 1 (2026): Juni
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v4i1.195

Abstract

The rapid advancement of digital technology has transformed the event organizer industry from conventional face-to-face events into hybrid and online event models. This transformation requires improved human resource competencies, particularly in digital technology, event management, and digital service marketing. This community service program aims to enhance the competencies of employees at PT. Seirah Wisata Ali Takrim in managing hybrid and online events through structured training and mentoring activities. The implementation method consists of socialization, hands-on training, technology implementation through event simulations, mentoring, evaluation, and sustainability planning. The training materials cover digital event production, operational event management, the development of Standard Operating Procedures (SOPs), and digital marketing strategies. The expected outcomes include improved technical competencies of participants, the availability of SOPs for hybrid and online event management, the development of competitive digital service packages and event portfolios, as well as enhanced service quality and organizational competitiveness in the digital event industry. This program is expected to support the company's digital transformation while strengthening collaboration between higher education institutions and industry partners.
Pengendalian Kualitas untuk Menurunkan Defect Produk Pipe Brake Menggunakan Metode Seven Tools dan FMEA dengan Pendekatan Kaizen di PT. XYZ Alan Fadlianto; Hana Silvia Dwi Putri; Fibi Eko Putra
Journal of Creative Student Research Vol. 4 No. 2 (2026): April : Journal of Creative Student Research
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jcsr-politama.v4i2.6467

Abstract

This study aims to reduce the defect rate of pipe brake products at PT. XYZ by integrating Seven Tools, Failure Mode and Effect Analysis (FMEA), and Kaizen methods. Based on identification using check sheets and Pareto diagrams, five main types of defects were found, where "uninstalled clips" were the most dominant, contributing 48%, followed by leaking pipes (21%) and dented pipes (15%). FMEA analysis revealed that the failure cause with the highest risk, indicated by the highest Risk Priority Number (RPN) score of 378, was the absence of an automatic control system in the clip installation process. Other contributing factors included inadequate brazing machine maintenance, lack of material handling standards, and weak quality control from suppliers. Through the Kaizen approach using 5 Whys and 5W+1H analysis, this research formulated technical improvement proposals such as the implementation of poka-yoke (error-proofing) systems, revision of Standard Operating Procedures (SOP), routine maintenance schedules, and visual control-based inspection systems. The implementation of these strategies is intended to reduce the initial defect ratio of 2.18% to a minimum level to achieve sustainable quality improvement in the production line.
Reduction of Visual Defects Dented in Valve Seat Products Using the Failure Mode and Effect Analysis (Fmea) Method and Kaizen Seven Tools at PT. XYZ Muh Rosyid; Fibi Eko Putra; Tri Ngudi Wiyatno
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 10 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), October 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

XYZ is one of the manufacturing companies that produces precision spare parts for automotive and electronic components. One of the automotive component spare parts is the Valve Seat. In the production process, there are NG (Not Good) valve seat products that are delivered to customers, resulting in frequent customer claims. This research aims to describe and analyze work process improvements so that quality can be maintained using the Seven Tools Method and to identify the factors causing the delivery of non-conforming products. Furthermore, the Failure Mode and Effect Analysis method is used to identify the highest failure risks, followed by kaizen implementation. Based on these results, an analysis of work process improvements is required to maintain product quality before delivery to customers by creating work instructions and adding work process methods during handling. Based on the pareto defect diagram, the most frequent defect in the last 3 months was the dented part, accounting for 95,91%. The contributing factors were: Human factors, where operators did not yet fully understand handling requirements; machine factors, where components and cutting oil circulation were dirty; method factors, where handling was not in accordance with SOP; and material factors, where the material made of stainless steel was easily scratched. By implementing FMEA and Kaizen, it was found that the Valve Seat production process at PT XYZ was already quite good, with a defect reduction of 0.87%, from the previous defect rate of 2.75% to 1.88%.
Analisis Defect Dimensional pada Produk Bracket Battery Kendaraan Listrik Menggunakan Six Sigma DMAIC Singgih Angga Permana; Fibi Eko Putra; Tri Ngudi Wiyatno
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 4 No. 3 (2026): Agustus : Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v4i3.1732

Abstract

This study aims to analyze dimensional defects in electric vehicle battery bracket products using the Six Sigma method with the DMAIC approach. This descriptive quantitative study utilizes processed or simulated production data from January to August 2025, covering four critical-to-quality characteristics: Hole Position, Diameter, Flatness, and Burr/Deformation. Of 164,500 units produced, 2,125 defect occurrences were identified, resulting in an aggregate defect rate of 1.29%, a DPO of 0.003229, a DPMO of 3,229.48, and a sigma level of 4.22 based on a 1.5-sigma shift. Pareto analysis revealed that Hole Position defects were the most dominant at 40.56%, followed by Diameter at 24.89%, Flatness at 20.19%, and Burr/Deformation at 14.35%. Fishbone and 5 Why analyses identified potential causes, including locator jig wear, inconsistent machine setup, inadequate first-piece approval, and the absence of cycle-based locator lifespan standards. Improvement proposals were developed using 5W+1H and a control plan to support sustainable production process monitoring. As these proposals have not yet been implemented, their effectiveness requires validation through production trials and actual measurements.
Co-Authors Abdillah Gani Ramadhan Agus Andriyansyah Ahmad Arya Rahmadin Alan Fadlianto Alex Baga Situmorang Alya Rahma Putri Aprilia Andeyu Ariansyah Ardi Suherman Azhari Tambunan Butsianto, Sufajar Dodit Ardiatma Dwi Indra Prasetya Farhan Fadilah Farid Marhaban Ferdian Setia Nugraha Gatot Tri Pranot Habibi Husni Mubarok Hana Silvia Dwi Putri Hasyrani Windyatri Iqbal Kurniawan Medi Humaedi Muh Rosyid Muhamad Baharudin Muhamad Linsyi Daissurur Muhamad Sulaiman Nur Yusuf Muhammad Aldi Albana Nurhadi Surojudin Puput Rahmawati Putri Nika Andini Rangga Arisandy Ridwan Adi Pamungkas Rizal Ainun Yaqin Singgih Angga Permana Supriyati Supriyati Tri Ngudi Wiyatno Virza Putra Virza Wahyu Hadikristanto Widyantoro, Murwan Yayan Saputra