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Fibi Eko Putra
Universitas Pelita Bangsa
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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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.
Co-Authors Abdillah Gani Ramadhan Agus Andriyansyah Ahmad Arya Rahmadin Alex Baga Situmorang Alya Rahma Putri Aprilia Andeyu Ariansyah Ardi Suherman Azhari Tambunan Dodit Ardiatma Dwi Indra Prasetya Farhan Fadilah Farid Marhaban Ferdian Setia Nugraha Gatot Tri Pranot Habibi Husni Mubarok Hasyrani Windyatri Iqbal Kurniawan Medi Humaedi Muhamad Baharudin Muhamad Linsyi Daissurur Muhamad Sulaiman Nur Yusuf Muhammad Aldi Albana Puput Rahmawati Putri Nika Andini Rangga Arisandy Ridwan Adi Pamungkas Supriyati Supriyati Tri Ngudi Wiyatno Virza Putra Virza Wahyu Hadikristanto Widyantoro, Murwan Yayan Saputra