cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
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 345 Documents
 31   32   33   34   35 
Analisis Komparatif Teknik Peramalan Double Exponential Smoothing, Moving Average, dan Linear Regression Pada Permintaan Item Outer Generic Uli Nasution, Bakhtiar Alam; Wahyudin, Wahyudin; Amin, Moh. Rizha Fauzi; Martin, Riky
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/qkbvkx23

Abstract

PT EPK is a company engaged in the printing and packaging industry, producing cardboard, paper pallets, and polyfoam. One of its products, Outer Generic Uli, experiences unstable demand, making it difficult for the company to accurately forecast market needs. Inaccurate forecasting can lead to stock overages or shortages and increased storage costs. Moreover, selecting the most appropriate forecasting method remains a challenge. This study aims to compare three forecasting methods—moving average, double exponential smoothing, and linear regression—to determine the most accurate model. Forecast accuracy is evaluated using tracking signal and mean square error (MSE). The results show that linear regression yields the most accurate forecast with the lowest MSE of 642,460.32. In comparison, double exponential smoothing has an MSE of 991,250, while moving average results in an MSE of 2,832,031.25. The significant difference in MSE indicates that linear regression outperforms the other methods. Implementing this method is expected to optimize inventory management, reduce the risk of stock imbalance, and enhance both supply chain efficiency and decision-making accuracy.. Keywords: Demand, Double Exponential Smoothing, Forecasting, Linear Regression, Moving Average
Analisis Proyek Fabrikasi Truss Frame menggunakan Metode Critical Path Method (CPM) dan Project Evaluation Review Technique (PERT) di PT PQR Wauran, Andreas Fernandez; Winarno, Winarno
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/1ehhg069

Abstract

The construction industry continues to grow rapidly, making quality and punctuality essential in completing projects on time. Effective time management plays a key role in minimizing delays. This study focuses on a Truss Frame fabrication project at PT PQR, which was initially planned for 26 working days but ultimately required 326 working hours due to early delays. While the project still met the client's deadline, the delay posed a risk to other company projects. To optimize scheduling, the study applied the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT). The analysis showed that CPM reduced the project duration to 314 hours, whereas PERT resulted in 319 hours with a 79% success probability. Compared to the actual 326-hour duration, CPM provided a 12-hour time reduction, making it the more efficient method. The project’s critical path was A-B-D-E-F-G-H-I-J, with activity C (Cutting Plan) requiring completion before the 88th hour. These findings highlight CPM’s effectiveness in optimizing Truss Frame project scheduling at PT PQR. Keywords: CPM, Construction Project, PERT, Project Management
Peramalan Permintaan Karton Box dengan Pendekatan Moving Average dan Regresi Linear: Kasus PT PDPPM Juanda, Anam; Debora, Fransisca
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/f4mxe974

Abstract

Demand for carton boxes is a critical aspect of the industrial supply chain, particularly in ensuring the smooth flow of production and distribution processes at PT PDPPM. Inaccuracies in forecasting carton box demand have led to several issues, such as excess inventory or packaging material shortages, which disrupt operations and increase storage costs. This study aims to forecast the demand for cardboard boxes at PT PDPPM using two analytical approaches: Moving Average and Linear Regression. Moving Average is applied to identify demand patterns by smoothing fluctuations in historical data, while Linear Regression is used to analyze the relationship between independent variables that influence demand. The results of this study indicate that the Moving Average approach provides stable predictions and tends to be more suitable for data with seasonal patterns, whereas Linear Regression offers additional insights into the influence of external factors on demand. The evaluation was conducted quantitatively using statistical indicators such as Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE), where the Linear Regression method demonstrated the lowest error rate. The combination of these two methods is expected to provide a more accurate forecasting outlook, beneficial for production planning and inventory management at PT PDPPM. Keywords: Forecasting, Moving Average, Regresi Linear
Perbandingan Metode Branch and Bound dan Metode Cheapest Insertion Heuristics dalam Penyelesaian Travelling Salesman Problem Alfanadim, Andraya; Winarno, Winarno; Zahra, Shakila Divala; Nudin, Muhammad Ihsan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/qgsgnm25

Abstract

This study aims to compare the efficiency of the Branch and Bound (B&B) and Cheapest Insertion Heuristics (CIH) methods in solving the Traveling Salesman Problem (TSP) for optimizing delivery routes at PT BT. The study was conducted to determine the shortest delivery route, which has implications for fuel cost savings. Primary data in the form of delivery routes to five customer locations were analyzed using manual calculations and validated using the WinQSB software. The results show that the B&B method produces a route with a total distance of 114.6 km and fuel cost savings of 13.444% compared to the original route, while the CIH method provides a distance of 114.8 km with savings of 13.293%. Although both methods show almost similar results, the B&B method is superior in minimizing distance and costs. This study provides recommendations for PT BT to implement the B&B method as an optimal solution in distribution management, in order to improve operational efficiency and customer satisfaction. Keywords: Branch and Bound; Cheapest Insertion Heuristics; Cost Savings; Route Optimization; Traveling Salesman Problem.
Analisis Pengendalian Kualitas Produksi Tabung Gas LPG 3KG dengan Pendekatan Six sigma pada PT ABC Nudin, Muhamad Ihsan; Sukanta, Sukanta; Alfanadim, Andraya
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/rc0cj331

Abstract

Quality control is essential to ensure that products meet predetermined specifications and align with company policies. Based on PT XYZ’s production report from December 2023, the number of defective products requiring repairs was notably high, reaching 17.3% of the total 98,852 gas cylinders produced within 19 days. This study aims to evaluate the quality control performance and identify the factors influencing it. The Six sigma DMAIC method was applied to assess performance. At the measurement stage, the Defects Per Million Opportunities (DPMO) was found to be 44,743, corresponding to a sigma value 3.203. The study identified four key factors contributing to production defects: machinery, materials, personnel, and methods. Although the company's quality control efficiency is deemed satisfactory, it has yet to prevent a significant sales decline of 20-40%. Therefore, implementing Six sigma analysis is expected to uncover processes that can reduce manufacturing defects in 3 kg LPG cylinder production. By addressing these issues, the company can improve product quality, maintain customer satisfaction, and enhance competitiveness in the market. Keywords: DMAIC, DPMO, Quality Control, Six sigma
Pemilihan Metode Peramalan Persediaan untuk Mengurangi Risiko Overstock Bahan Baku Produksi Karton Box di PT EPC Awwaluddin, Zulfikri; Wahyudin, Wahyudin
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/aexx0848

Abstract

PT EPC is a company that produces cardboard boxes and is facing issues with raw material overstock. This has led to inefficiencies in managing the raw materials needed for the production process. This study aims to improve the efficiency of raw material inventory planning for cardboard boxes at PT EPC by implementing forecasting methods. The methods used include Double Exponential Smoothing (DES), Moving Average (MA), and Linear Regression (LR). Raw material stock data over 12 periods were analyzed to determine the best method based on the Mean Squared Error (MSE) value. The results show that the Linear Regression method has the smallest MSE value, which is 961,198,420.99, making it the most accurate method. Additionally, the optimal safety stock was calculated at 72,278 sheets to anticipate demand fluctuations. In conclusion, the Linear Regression method is proven effective for inventory planning, reducing the risk of overstock and understock, and improving operational efficiency at PT EPC. Keywords: Double Exponential Smoothing, Forecasting, Linear Regression, Moving Average,  Safety Stock
Determining Production Standard Time for Consumable Paper Products to Optimize Production Output Using Time Study Method Anugrah, Siti Nabilah Putri; Alifin, Fakhri Ikhwanul
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/bkmbaf55

Abstract

One of the products of this consumable paper and packaging manufacturer is the ream-type consumable paper. The consumable paper production process still involves a lot of work from machine operators, so the company always designs and then implements changes as an effort to improve. These changes actually make operators need to adapt because work procedures are also undergoing changes, which will also affect production lead times and production output. Therefore, it is necessary to carry out a time study which can then be used as a basis for creating work standards for operators. The method used in this research is direct measurement of working time, namely the stopwatch time study approach. The research results show that the standard times for conditions 1 to condition 4 are respectively 4632,97 seconds, 4718,97 seconds, 4929,80 seconds and 5024,80 seconds. The amount of standard output that the company can obtain in 1 work shift for conditions 1 to condition 4 respectively is 163,5 packs/shift, 160,2 packs/shift, 153,4 packs/shift, and 150,5 packs/shift. Meanwhile, the work element that determines the lead time is work element D. Keywords: Output Optimization, Stopwatch Time Study, Work Standards
Evaluation of High-Frequency Welding Machine Maintenance Schedule Using a Probabilistic Approach Kelana, Muhammad Rizky; Alifin, Fakhri Ikhwanul
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/67degp41

Abstract

This study evaluates an actual maintenance schedule in a steel pipe manufacturer in Indonesia, particularly in its welding process. In the December 2023-January 2024 period, there was a breakdown time of 36.8 hours on high-frequency welding machines, which indicates low reliability. This company adopts Corrective Maintenance (CM), which leads to frequent downtime due to the lack of preventive action. Therefore, this study aims to determine the optimal maintenance of high-frequency welding machines at a minimum cost. The corresponding machine has 638.4 hours of Mean Time To Failure (MTTF). This result corresponds to the Weibull distribution probabilistic model, where a potential failure above 50% occurs within t > 600 hours. This pattern clearly shows that the manufacturer should establish an optimal maintenance schedule around the MTTF. According to the result, the optimal maintenance policy is the Periodic Replacement Policy. This policy encourages the manufacturer to conduct preventive maintenance every 645 hours. The minimum expected maintenance cost rate has also been obtained through this policy, which is IDR 21,516.00. Keywords: Maintenance, Mean time to failure (MTTF), Repairable System, Repair Policy, Weibull Distribution
Evaluasi Tingkat Kepuasan Pelanggan Terhadap Pelayanan Cafe A Day Hoper Menggunakan Metode Kano Claodio, Antoni; Fitriani, Risma; Momon, Ade
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/t0tcfv36

Abstract

The increasingly competitive culinary industry requires businesses to continuously improve service quality to ensure customer satisfaction and loyalty. Cafe A Day Hoper, located in Karawang, West Java, needs to identify which service attributes are most important to customers. This study aims to quantitatively evaluate customer satisfaction using the Kano model. A descriptive quantitative method was applied through a structured questionnaire distributed to 51 respondents. The data were analyzed using Kano’s evaluation matrix to classify service attributes into five categories: Must-be (M), One-dimensional (O), Attractive (A), Indifferent (I), and Reverse (R). The results showed that 14 out of 20 attributes (70%) were categorized as Must-be, indicating basic service expectations that must be fulfilled. Meanwhile, 3 attributes (15%) were categorized as One-dimensional, 1 attribute (5%) as Attractive, and 2 attributes (10%) as Indifferent. No attributes fell into the Reverse category. These findings indicate that most customer satisfaction at Cafe A Day Hoper depends on the fulfillment of essential service elements, while certain attributes have the potential to significantly enhance satisfaction if improved. Therefore, the cafe is advised to prioritize improving Must-be and One-dimensional attributes while developing Attractive features as competitive differentiators. Keywords: Attribute Classification, Customer Satisfaction, Kano Method, Service
Analisis Produk Not Good (NG) dalam Proses Pemotongan Kardus dengan Metode Failure Mode and Effects Analysis (FMEA) Al Fahri, Dzalfa Difa; Sukanta, Sukanta; Nugraha, Asep Erik
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/j1egz808

Abstract

  PT BCD is a company engaged in the manufacturing sector, specifically in the manufacture of packaging made from cardboard. In the production process, there is cardboard cutting using a cutting machine to cut cardboard with predetermined quality standards such as producing products that are not defective or Not Good (NG) products. The presence of NG products in January. With this problem, it is necessary to identify the slitter machine by applying the FMEA method to identify the problems that occur. The purpose of the study is to carry out quality control to reduce the occurrence of NG products produced by the slitter machine. In January, it was found that there were 528 NG products. Researchers used Failure Mode and Effects Analysis to find the root cause of the problem. The variables contained in the RPN are Severity, Occurrence, Detection. Judging from the Failure Mode and Effects Analysis (FMEA) method approach, the cause of the occurrence of Not Good (NG) products is the result of untidy cutting according to the highest RPN value with a value of 224, namely a blunt knife. Keywords: FMEA, Product Not Good, Quality Control  

Page 33 of 35 | Total Record : 345

 31   32   33   34   35 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue 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