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Redaksi INDUSTRIKA : JURNAL ILMIAH TEKNIK INDUSTRI Fakultas Teknik Universitas Tulang Bawang (UTB) Lampung Jl. Gajah Mada. No. 34 Kotabaru, Bandar Lampung 35121 Tel / fax : (0721) 252 686 / (0721) 254 175
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INDONESIA
Industrika : Jurnal Ilmiah Teknik Industri
Published by Universitas Tulang Bawang
ISSN : 27764745     EISSN : 25795732     DOI : https://doi.org/10.37090/indstrk.v5i1
Core Subject : Economy, Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering
INDUSTRIKA is a research journal which facilitates the publication of scientific articles in the field of Industrial Engineering. The published articles in INDUSTRIKA can be the result of research and literature review. Some of the topics are including: Business and strategy; decision analysis Engineering economy; Environmental issues Facility location; layout; design; materials handling Forecasting; production planning/control Human factors; ergonomics; safety Human resources management ICT and information systems Innovation; knowledge management; organizational learning Inventory; logistics; transportation; Manufacturing; control; automation Product/process design and management Project/operations management; Service systems/management; modeling/simulation
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 405 Documents
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Evaluasi Akurasi Gerak Sumbu XYZ Mesin CNC Router 3-Axis Hasil Modifikasi dengan Analisis ANOVA One-Way Chafid Izuddin; M. Nushron Ali Muhktar
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/jy6aay36

Abstract

The Rumbio Jaya Iron Brick Small and Medium Industry Center (IKM) is one of the metal business units that faces problems in the management of work areas, especially related to the lack of regularity and high potential hazards due to piles of goods that are not clearly identified. This shows that the implementation of the 6S work culture has not been carried out optimally. This research aims to design a strategy for the implementation of the 6S method and prepare SOPs that are in accordance with the characteristics and needs of the local work environment. To find out the initial condition of the work area, an evaluation was carried out using the 6S assessment form which included 32 assessment indicators, ranging from 1 to 5 assessment scores. Score 1 = 18 aspects, score 2 = 16 aspects, score 3 = 18 aspects, scores 4 and 5 = 0. The total score was 52 out of 160 points maximum, with an average score per indicator of 1.625. These results show that the 6S principle is still carried out in a limited way. Therefore, improvements were given, among others, the preparation of SOPs for each aspect of the 6S, the redesign of workstations, the construction of storage racks and labeling systems, the installation of boundary lines, and the implementation of daily inspections to ensure the consistency of its implementation. Keywords: Productivity, SOP, Work Culture, 6S
Eliminasi Waste pada Proses Produksi Melalui Penerapan Lean Manufacturing dengan Metode VSM, WAM, Dan VALSAT(Studi Kasus PT RST) Andika Rangga Aditya Perdana Putra; Muhammad Hengki Riawan Putra; Kusno Hadidjija
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/b5vgxm73

Abstract

This study focuses on improving the production efficiency of air nipples at PT RST through Lean Manufacturing by reducing process times that exceed takt time and minimizing waste, particularly defects, which increased from 1.8% (February 2024) to 2.4% (September 2024). The study implements three Lean tools, namely VSM, WAM, and VALSAT. The results show that three production processes—Cutting (42.32 seconds > 39.60 seconds), Turning 1 (97.08 seconds > 91.80 seconds), and Turning 2 (46.80 seconds > 34.20 seconds)—have cycle times exceeding takt time. Additionally, four types of waste were found to have the greatest impact on production efficiency: motion (19.74%), defect (18.47%), inventory (17.61%), and overproduction (17.06%). The main causes of waste include operators’ dependence on team leaders, limited work facilities, and the absence of a pull system. Strategic recommendations include the implementation of TPM, JIT, and the addition of work facilities. These improvements are estimated to reduce production lead time from 557.14 seconds to 453.72 seconds, a decrease of 18.56%. Keywords: Lean Manufacturing, Value Stream Analysis Tools, Value Stream Mapping, Waste, Waste Assessment Model
Quality Improvement and Defect Control in Food Packaging Industry with DMAIC Approach Monica Feby Santoso; M. Nushron Ali Mukhtar
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/y559f567

Abstract

Low product packaging quality in food products can negatively impact customer satisfaction and company performance. This research aims to evaluate and improve the packaging quality of Shanghai Atom Peanut products, with a primary focus on reducing defects through the Six Sigma DMAIC approach. The main objective is to identify the root causes of packaging defects and implement measurable improvement strategies to enhance production process stability. The findings identified two CTQ factors that accounted for 84.3% of total defects: inaccurate product weight and poor sealing quality. Prior to improvement, 814 defective units were found out of 6,480 inspected. As a result, the number of defective units decreased significantly to 299, with all data points falling within control limits. The RPN also showed a substantial reduction, with D1 decreasing from 336 to 175 and D2 from 294 to 100. Statistical analysis using a paired T-test yielded a P-Value of 0.001, indicating a statistically significant improvement. The primary contribution of this research lies in its comprehensive application of all DMAIC phases through to the control stage an approach that is rarely detailed in similar studies within the food packaging industry. This research recommends future evaluations of the DMAIC methodology across various packaging types, such as metallized film, carton boxes, and cans, to support the development of more efficient and adaptability to market-oriented needs. Keywords: DMAIC, Food Industry, Packaging Defect, Quality Control, Six Sigma
Analisis Kerusakan Blower IDF pada PLTU PT PLN Indonesia Power UBP Holtekamp dengan Metode FMEA dan RCFA Sendik Saputra; Eko Budi Utomo; M Hengki Riawan Putra
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/1sz7gr41

Abstract

The Induced Draft Fan (IDF) blower is a critical component in the Holtekamp coal fired power plant system, responsible for regulating flue gas flow from boiler to the stack. Base on Pareto Loss from 2021-2025, IDF failures contributed to an average of 55% unit load reduction annually. The dominant failure modes identified were Breakage (crack/fracture) and Wear (abrasion/corrosion) on the fan impeller, which significantly effect plant reliability. This conditioning highlights the need for systematic analysis to trace the root causes of repeated failures. This study applies Failure Mode and Effect Analysis (FMEA) to determine failure modes using the Risk Priority Number (RPN) and Root Cause Failure Analysis (RCFA) with the 5 Why approach to identify recurring root causes. The results indicate that the main failure mode is material breakage with an RPN value of 336, causwed by improper material selection against abrasive, corrosive, dan high temperature conditions. Recommended solutions include implementing Life Cycle Management (LCM), reverese engineering for material enhancement, estabilishing monitoring checklists, and strengthening technical documentation and operational procedures. Keywords: IDF (Induce Draft Fan), Root Cause Failure Analysis (RCFA), Failure Mode and Effect Analysis (FMEA), Coal Steam Power Plant, Material Breakage  
Analisis Pengendalian Kualitas Menggunakan Metode Statistical Quality Control (SQC) pada Produk DR 58 di PT Surya Gemilang Engineering Kanaya Belinda Audina; Rizki Achmad Darajatun
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/xh7qgw42

Abstract

Every manufacturing company must maintain product quality to meet established standards. PT Surya Gemilang Engineering is a company that manufactures various machine components, of which one is DR 58 product. While the production is ongoing, several defects were found that affected the product’s quality. This study is conducted to examine the quality control of DR 58 by applying Statistical Quality Control (SQC). There are nine types of defects identified, namely: under flange thickness, over flange thickness, scratches, not machined, through holes, blind holes, excessive groove depth, oversized dimensions, and undersized dimensions. The analytical tools used The tools applied consist of the Control Chart, Cause-and-Effect Diagram, Scatter Diagram, Histogram, Check Sheet, and Pareto Diagram. The findings reveal that the main sources of defects come from environmental, method, machine, human, and material factors. The recommended improvements include regular operator training, scheduled machine maintenance, adjustment of work methods, proper material selection, and better workplace environmental conditions. The application of SQC methods helps the company objectively identify defect sources and formulate appropriate corrective actions, thus improving the quality of DR 58 products in a sustainable manner. Keywords: Defect Product, Quality Control, Statistical Quality Control
Analisis Efektivitas Mesin Water Jet Loom Menggunakan Metode Overall Equipment Effectiveness (OEE) di Divisi Weaving PT X Muhammad Izzul Haq; Tiaradia Ihsan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/wn7s0b63

Abstract

The Water Jet Loom (WJL) machines in PT X’s Weaving Division frequently experience operational disruptions, with a total downtime of 4,545 minutes, primarily in March and April 2025. This study evaluates WJL effectiveness using the Overall Equipment Effectiveness (OEE) method with a descriptive qualitative approach, focusing on availability, performance, and quality, based on downtime and production data from January to June 2025. Data collection techniques included observation, interviews, and analysis of downtime and production data. Data processing involved calculating availability, performance, and quality rates using OEE formulas. The results show an average OEE of 74.88%, below the global standard of 85%, with a performance rate of 80.99% and a quality rate of 93.92%. Fishbone analysis identified key causes: operator errors, suboptimal operational methods, unsupportive work environment, worn components, and delayed spare parts procurement. Therefore, improvements are needed in various factors contributing to reduced performance, as depicted in the fishbone diagram, to significantly enhance the OEE value. Keywords: Downtime, Machine Effectiveness, OEE, Water Jet Loom
Analisis Pengendalian Kualitas Part 3060HD pada Industri Sparepart Otomotif  Menggunakan Metode Statistical Quality Control Elaeys Mulia Bulqis; Dede Roni
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/yhz7jr70

Abstract

Quality is a characteristic or value inherent in a product and plays an important role in maintaining a company’s competitiveness. An automotive spare parts company producing tool holders, with part 3060HD as its flagship product, experienced quality problems in the form of fluctuating and unstable defect levels during the period from January to October 2024. This condition potentially causes financial losses because the defect rate has exceeded the tolerance limit set by the company. Therefore, this study aims to determine the level of defects that occur, analyze the factors causing defects at each stage of the production process, and formulate improvement efforts to reduce the number of defective products. The method used in this study is Statistical Quality Control (SQC). Based on production data from January to October 2024 with a total production of 3,623,736 units, the number of defective products for part 3060HD was 47,572 units, consisting of 27 types of defects and 1 mixed defect type. The highest defect was caused by synchronization tool change problems, with a total of 6,365 defective units. The analysis results indicate that defects are influenced by man, method, machine, material, measurement, and environment factors. The results of this study are expected to serve as a reference for the company in implementing continuous improvement to enhance product quality and minimize defect rates. Keywords: Defect, Quality Control, Repair, Statistical Quality Control
Reduksi Limbah Kertas dan Kardus di Kabupaten Karawang Menjadi Eko Briket Melalui Usulan Perancangan Mesin Skala Produksi Yamandito Mario Nugroho; Aksyal Abi Maulana; Gading Adithia Famella; Wahyu Fitrianto
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/eq0q5p55

Abstract

The problem of increasing waste generation in Indonesia, particularly in Karawang Regency, poses a serious environmental threat if not properly managed. One sustainable alternative is to utilize paper and cardboard waste as raw materials for eco-briquettes. This study aims to develop eco-briquette products and design a production machine capable of improving the efficiency of non-hazardous waste processing. The research method applied was experimental and engineering design. The experiment was conducted by producing several briquette samples with different compositions of paper, cardboard, and tapioca starch, which were then tested through burn duration and physical performance evaluation. The results showed that briquettes with a composition of 80% cardboard and 20% tapioca starch performed best, with a burn time of 21 minutes. Furthermore, a production system design was proposed, consisting of cutting, mixing, pressing, crushing, second mixing, and molding machines, with a production target of 100 briquettes per day. This design is projected to reduce paper and cardboard waste by approximately 1.197 tons per month. Therefore, this study demonstrates that utilizing non-hazardous waste for eco-briquette production not only provides a solution for waste reduction but also supports economic value and environmental sustainability. Keywords: Briquette, Design, Experiment, Paper, Waste  
Evaluasi Kapabilitas Proses Timbangan Mesin PengemasanTepung Terigu Menggunakan Sixpack Report PT. ISM Divisi Bogasari Flour Mills Azrie Sunata; Rizki Achmad Darajatun
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/td28pc79

Abstract

Quality control in the packaging process plays a vital role in the food industry to ensure that products meet established standards. Inaccurate weighing during packaging can lead to product inconsistency, increased waste, and reduced customer trust. This study aims to evaluate the accuracy and process capability of two packaging machines on the Consumer Pack (CP) Line 2 at PT ISM Bogasari Flour Mills using the Sixpack Report statistical approach through Minitab 22.1 software. Data were collected by direct sampling of 1,000-gram wheat flour products over three days with two speed variations (55 and 60 packs per minute). The results show that all combinations of machines and speeds had Cp, Cpk, Pp, and Ppk values below 1, indicating that the processes were not capable. Machine X recorded the highest defect rate of 36%, while Machine Y showed more stable performance but still below the industry standard. Based on Ishikawa diagram analysis, four main factors contributing to inaccuracy were identified: operator, machine, method, and material. The study concludes that improvements in operator training, machine maintenance, and shift standardization are necessary to enhance process stability and packaging quality. Keywords: Minitab, Process Capability, Sixpack Report, Wheat Flour
Penerapan Failure Mode and Effect Analysis (FMEA) dalam Meningkatkan Efektivitas Manajerial di Perusahaan Kontruksi Denisa Fajrianti; Wahyudin Wahyudin
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/jndxwy38

Abstract

The application of Failure Mode and Effect Analysis (FMEA) is essential for identifying critical failures in the implementation of Total Quality Management (TQM) at a construction company in Bogor, which still faces managerial inefficiencies due to weak teamwork, low employee involvement, and inadequate training. This study aims to analyze the failure modes that affect the implementation of TQM using the FMEA method. Data were collected through observations, interviews, documentation, and assessments of the ten TQM principles. The results show three failure modes with the highest Risk Priority Numbers (RPN): low employee involvement RPN = 378, weak teamwork RPN = 336, and insufficient education and training RPN = 210. These failures significantly impact managerial effectiveness and project target achievement. This research provides strategic recommendations such as establishing a suggestion system, conducting weekly coordination meetings, and implementing competency-based training programs. The findings demonstrate that FMEA is effective in determining improvement priorities to strengthen managerial quality and organizational performance. Keywords: Construction Industry, Failure Mode and Effect Analysis, Failure Risk, Managerial Effectiveness, Total Quality Management.

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