cover
Contact Name
Susanti Sundari
Contact Email
susanti.sundari@utb.ac.id
Phone
+6281279266529
Journal Mail Official
industrikautb@gmail.com
Editorial Address
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
Location
Kota bandar lampung,
Lampung
INDONESIA
Industrika : Jurnal Ilmiah Teknik Industri
ISSN : 27764745     EISSN : 25795732     DOI : https://doi.org/10.37090/indstrk.v5i1
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
Articles 375 Documents
Peramalan Stok Produk Kimia Cair Menggunakan Regresi Linear pada Salah Satu Perusahaan Manufaktur Kimia di Kabupaten Karawang IJ, Falih Abdul Malik; Nugraha, Asep Erik; Sari, Rianita Puspa; Setyanto, Muhammad Ulfi Akhsan; Wicaksono, Rizky Adib
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/x55pnk53

Abstract

-
The Use of Reverse Engineering Method in Designing Palm Fruit Collection Tools Kurniawan, Fajar; Yola, Melfa; Nazaruddin, Nazaruddin; Harpito, Harpito; Umam, Muhammad Isnaini Hadiyul
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/w04k5028

Abstract

Product planning, design, and development are essential phases in manufacturing, starting from conceptualization and system design to production, testing, and ultimately delivering superior products that meet consumer demands. For instance, in the oil palm plantation industry, efficient tools play a vital role. Harvesting significantly affects the quality of oil palm yields, with losses often occurring due to loose fruit detachment from the Fresh Fruit Bunches (FFB), which fall to the ground. These loose fruits, known as "berondolan," are just as valuable as those still attached to the FFB and contribute substantially to farmers' income. Currently, farmers must manually collect these fallen fruits from beneath each tree, which is time-consuming. To address this issue, the study introduces a harvesting tool designed through reverse engineering for gathering loose oil palm fruits. After processing and analysis, the proposed tool incorporates modifications, particularly in the roller section, where two 10 cm diameter stainless steel drain holes are added. Additionally, it features two 6.5 cm diameter iron drives, enhancing efficiency by increasing collection capacity by 1.5 kg per minute compared to conventional drain hole designs. Keywords: Brondolam, Design, Efficient, Palm fruit collection tool, Oil Palm, Reverse engineering.  
Analysis of Product Inventory Control Using the Always Better Control (ABC) Method and Monte Carlo Simulation (Case Study: Bumdes Mart Bukit Intan Makmur Village) Maya Sari, Putri; Nurainun, Tengku; Harpito, Harpito; Lubis, Fitriyani Surayya; Nur, Muhammad
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/3dgstd78

Abstract

Bumdes Mart is a supermarket in Bukit Intan Prosperous Village, Kunto Darussalam Regency, Rokan Hulu Regency, Riau Province. Supermarkets face great challenges in managing product inventory, with frequent shortages or excess inventory due to monthly sales fluctuations. Therefore, there is a need to categorize products and estimate future sales. This study aims to categorize the product groups sold by Bumdes Mart into groups A, B, and C. Then, Monte Carlo simulation is used to predict future product sales quantities, and the ROP method is used to determine the reorder point. ABC analysis, Monte Carlo simulation, and the reorder point (ROP) method are used to develop an effective inventory control strategy and solve the problem of Bumdes Mart in Bukit Intan Prosperous Village. The comes about appear that Course A items incorporate 8 item sorts. Through Monte Carlo recreation, we decided that the anticipated esteem of future deals information isn't much diverse from the real information of the previous year, and the full mistake of each reenactment is less than 5%. The ROP of each item is: 48 boxes, 53 pieces, 133 packs, 456 pieces, 32 boxes, 6 sacks, 32 boxes and 6 packs. Keywords: ABC analysis, Monte Carlo Simulation, ROP, Stock, Stock Control
Pengukuran Tingkat Efektivitas Mesin pada Komponen Silinder Arm Kobelco SK 200-10 melalui Implementasi  (TPM) dan Metode OEE Prasetiyo, Agung Dwi; Sundari, Susanti; Suwarni, Putri Endah
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/p6dm1n44

Abstract

Recurrent failures of the arm cylinder on the Kobelco SK 200-10 excavator at PT. XZ have resulted in increased downtime, decreased equipment performance, and higher maintenance costs. This study aims to evaluate equipment effectiveness through the implementation of Total Productive Maintenance (TPM) using the Overall Equipment Effectiveness (OEE) method. Measurement results for the period September–December 2024 indicate an OEE value of 38.97%, with availability of 82%, performance of 50.46%, and quality of 93.75%, suggesting that the equipment performance remains suboptimal, particularly in terms of performance . Six Big Losses analysis reveals that the largest losses are caused by reduced speed losses at 52.08% and average equipment failure losses of 13.96%. The main contributing factors are identified as machinery conditions, work methods, environmental factors, and operator involvement. Therefore, improving equipment effectiveness can be achieved through more disciplined preventive maintenance, refinement of operating procedures, and increased operator participation in daily maintenance activities. Keywords: Kobelco SK 200-10, OEE, Six Big Losses, TPM  
Strategi Mengurangi Produk Defect pada Proses Pencetakan Documents Security dengan Penerapan Six Sigma di PT WCD Sulistiani, Wiwin; Wahyudin, Wahyudin; Fasa, Nadia; Desinta, Mia
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/s5cm2x03

Abstract

PT WCD is a manufacturing company that operates in the Integrated Security Printing and System industry, producing Documents Security as its main product. In the production process, the company still faces several issues related to defective products, which affect production efficiency, quality costs, and customer satisfaction. This study aims to determine the main causes of defects in the Documents Security printing process and to provide suitable improvement suggestions. The method used in this research is Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, Control) stages. Production data and the number of defective products during 2024 were analyzed using several statistical tools, including P-Chart, Pareto Diagram, and Fishbone Diagram. The results show that the most common defects are blobor, stains, and miss register. Based on the data analysis, the average DPMO value is 71,064 with a sigma level of 2.92, which indicates that the current process performance is still below the expected quality standard. Improvement proposals are prepared based on root cause analysis using the 5W + 1H method, along with the implementation of control plans and the use of batch cards to monitor production quality. The use of the DMAIC method in this research proves to be effective in identifying the key factors causing defects and reducing the defect rate, while also helping to improve the efficiency of the production process at PT WCD. Keywords : DMAIC, Defect, Document Security, Six Sigma.
Analisis Risiko Kegagalan Genset Cummins Berbasis FMEA dalam Perspektif Reliability-Centered Maintenance di CV X Hakim, Ilham Luqmanul; Sundari, Susanti; Suwarni, Putri Endah; Nudin, Burhan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/k8ntfq40

Abstract

CV. X frequently experiences recurring failures in Cummins genset components, such as rubber coupling, fuel filter, oil filter, battery, and radiator. This condition causes considerable downtime and increased maintenance costs, as the maintenance approach remains reactive. This research aims to design a more effective maintenance strategy using the Reliability Centered Maintenance (RCM) method. Data were collected through observation, interviews, and failure history records, then analyzed using Failure Mode and Effect Analysis (FMEA) to identify critical components, as well as Logic Tree Analysis (LTA) to determine the appropriate maintenance strategy. The results revealed five critical components, with the highest risk value found in the rubber coupling(RPN 300). The recommended strategy is Condition Directed for the rubber coupling, battery, and radiator, and Time Directed for the fuel filter and oil filter. Implementing this strategy is expected to reduce downtime and improve machine reliability. Keywords: Cummins Genset, Downtime, Logic Tree Analysis (LTA), Maintenance, RCM  
Pengelolaan Persediaan Bertingkat untuk Produk Perishable dengan Menerapkan Model Persediaan Multi-Echelon Kholidasari, Inna; Aslam, Muhammad; Sundari, Susanti
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/g6c15j38

Abstract

Inventory control is an important aspect in an organization or a company, especially a company which is deal with perishable products such as fruits An inventory model that considers the emission costs and the quality of products is Multi-Echelon Inventory Model. This research is a case study of a fruit shop where inventory control for high demand-value fruits is managed using the Multi-Echelon Inventory Model. This study aims to control the inventory of fruits in a fruit shop using Multi-Echelon Inventory Model. The data collection is carried out both in the cool room, where the fruits are consumed by the sales department, and in the sales area, where demand is generated by end consumers. Inventory costs were calculated for three fruit retrieval scenarios from the cool room, adjusted for fruit categories based on the time it takes for the fruit to deteriorate. Total inventory cost for scenario 1 is Rp.3.727.185,00, for scenario 2 is Rp. 3.698.675,00, and for scenario 3 is Rp 3.793.730,00. Total inventory cost are  the combination between the inventory cost in the cool room and the inventory cost of sales area of sales department. The results f the research shows the total inventory cost to manage the products with high demand-value and also recommendations (scenario 3) on how to control the inventory system of fruit at the case organization. Keywords: Cool room, Inventory control, Multi-Echelon Model, Perishable Product
Analysis of the Work Posture of Paint Warehouse Operators Using the Ovako Work Posture Analysis System (OWAS) Method in the Automotive Painting Service Industry Ramadhan, Muhammad Ragil; Suseno, Agustian; Wahyudin, Wahyudin
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/pf54fe40

Abstract

The rapid growth of the industrial sector in Indonesia highlights the importance of occupational health and safety, particularly in industries involving heavy physical activities such as painting services. This study aims to evaluate the working postures of paint warehouse operators at PT XYZ using the Ovako Work Posture Analysis System (OWAS) method to assess ergonomic risks in manual handling activities. The research employed a quantitative approach with a descriptive observational design through direct observation of lifting, moving, and arranging paint cans. The results indicate that most working postures pose a high risk of musculoskeletal disorders, especially during lifting and moving activities, which were classified as high-risk categories according to OWAS. The study also found that simple improvements, such as adjusting work tables and improving lifting techniques, can effectively reduce injury risks. Overall, this research provides recommendations for posture improvement to enhance worker well-being and company productivity, while serving as a basis for designing a safer and healthier work environment. Keywords: Ergonomics, Manual Handling Activities, MSDs, OWAS, Work posture
Evaluasi Efektivitas Behaviorally Anchored Rating Scales (BARS) untuk Penilaian Kinerja Karyawan di Toko Bahan Bangunan Sampurna Kusumawati, Aulia; Winarno, Heru; Bob Anthony, Muhamad; Putra Wahyudi, Refli
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/fn52sz76

Abstract

The problem of Sampurna Building Store has not conducted employee performance assessments based on employee behavior when running it, resulting in the performance results of each employee being reviewed directly and the actions that must be taken to improve the performance of undisciplined employees. This study is to find out how to design employee performance assessments and solutions to improve employee productivity, then the researcher conducted an analysis using the Behaviorally Anchor Rating Scale and SPSS methods. Questionnaires were given to 15-25 employees and 30-50 loyal customers who bought Building material products. From the results of the analysis, the dimensions that need to be improved are Reliability and Work Behavior. By improving Reliability and Work Behavior, it is expected to overcome the design of performance assessments so that employees can work harder, comfortably and motivated. Based on data analysis, it is known that employee performance based on behavior (Behaviorally Anchored Rating Scales) at Sampurna Building Store is in the high assessment category with an average of 67.02%, while data analysis shows that work performance from a customer perspective based on behavior at Sampurna Building Store is in the high assessment category with an average of 72.99%. Keywords: Human resources, Performance Appraisal, Reliability, Work Behavior  
Analisis Pengendalian Kualitas Produksi Sandal Menggunkan Pendekatan Six Sigma (Studi Kasus: CV. BOSSBI) Hardika, Moch Bagus; Munir, Misbach
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/wvjgbq42

Abstract

CV BOSSBI is a sandal manufacturing company located in Singosari, Malang, which is currently facing a high number of defective products, impacting both product quality and production efficiency. This study aims to analyze the factors causing product defects and to provide improvement proposals to enhance production quality. The Six Sigma approach using the DMAIC method (Define, Measure, Analyze, Improve, Control) is applied to identify, measure, analyze, and control the causes of defects. Based on production data from January and February 2025, a total of 4,274 defective units out of 90,545 units were recorded in January, and 6,006 defective units out of 87,445 units in February. The initial DPMO (Defects Per Million Opportunities) value was 11,796 with a sigma level of 3.58. After implementing improvements, the DPMO decreased to 7,142 and the sigma level increased to 3.82. The results show that applying the Six Sigma method reduced the defect rate by 39.4% and significantly improved product quality. Therefore, Six Sigma has proven to be an effective quality control strategy for CV BOSSBI. Keywords: CV BOSSBI, DMAIC, Defective Products, Quality Control, Six Sigma  

Filter by Year

2017 2026


Filter By Issues
All Issue Vol. 10 No. 2 (2026): Industrika: Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri Vol. 9 No. 2 (2025): Industrika: Jurnal Ilmiah Teknik Industri Vol. 9 No. 1 (2025): Industrika: Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): Industrika: Jurnal Ilmiah Teknik Industri Vol. 8 No. 3 (2024): Industrika: Jurnal Ilmiah Teknik Industri Vol. 8 No. 2 (2024): Industrika: Jurnal Ilmiah Teknik Industri Vol. 8 No. 1 (2024): Industrika: Jurnal Ilmiah Teknik Industri Vol. 7 No. 3 (2023): Industrika: Jurnal Ilmiah Teknik Industri Vol. 7 No. 2 (2023): Industrika: Jurnal Ilmiah Teknik Industri Vol. 7 No. 1 (2023): Industrika: Jurnal Ilmiah Teknik Industri Vol. 6 No. 2 (2022): Industrika: Jurnal Ilmiah Teknik Industri Vol. 6 No. 1 (2022): Industrika: Jurnal Ilmiah Teknik Industri Vol. 5 No. 2 (2021): Industrika: Jurnal Ilmiah Teknik Industri Vol. 5 No. 1 (2021): Industrika: Jurnal Ilmiah Teknik Industri Vol. 4 No. 2 (2020): Industrika: Jurnal Ilmiah Teknik Industri Vol. 4 No. 1 (2020): Industrika: Jurnal Ilmiah Teknik Industri Vol. 3 No. 2 (2019): Industrika: Jurnal Ilmiah Teknik Industri Vol. 3 No. 1 (2019): Industrika: Jurnal Ilmiah Teknik Industri Vol. 2 No. 2 (2018): Industrika: Jurnal Ilmiah Teknik Industri Vol. 2 No. 1 (2018): Industrika: Jurnal Ilmiah Teknik Industri Vol. 1 No. 2 (2017): Industrika: Jurnal Ilmiah Teknik Industri Vol. 1 No. 1 (2017): Industrika: Jurnal Ilmiah Teknik Industri More Issue