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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 345 Documents
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Analisis Akurasi Peramalan Pengisian Bahan Bakar Kapal X dengan Model Sarima Andrianti, Irma; Ardana, Wahyu
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/d4g2h952

Abstract

The energy industry, including PT Pertamina Hulu Kalimantan Timur (PHKT), faces serious challenges in managing the fuel supply of Ship X, which is vital for worker mobility, due to the high frequency of deliveries (3-4 times a month) which increases operational costs. This study aims to forecast the  refueling of Ship X using  the Seasonal Autoregressive Integrated Moving Average (SARIMA) model and evaluate the accuracy. The accuracy evaluation was carried out by integrating the Mean Absolute Error (MAE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE) metrics. Secondary data on the weekly fuel consumption of Ship X from PT Pertamina Hulu Kalimantan Timur (PHKT) Penajam Supply Base (PSB) for the period January to September 2024 was used in this study. Based on the analysis, the SARIMA model (1,1,0)(0,1,1)6 was identified as a statistically significant model and suitable for forecasting. The forecast results for the next 13 weeks, starting from week 40, with an initial prediction of 1794.37 liters. The evaluation of the accuracy of the model resulted in an MAE of 143.66 liters, a MAD of 107 liters, and a MAPE of 8.33%. This accuracy evaluation  provides a deeper understanding of the model's performance, which contributes to more informed fuel inventory management and improved operational efficiency of Ship X. Keywords: Forecasting, Fuel, MAE, MAD, MAPE, Sarima
Perancangan Alat Pemotong Tahu di UMKM Tahu Sari Bumi Karawang dengan Pendekatan Value Engineering Antari, Fitri Diana; Azizah, Fahriza Nurul; Adien, Aisyah Nurfadillah; Hafizhuddin, Abdullah Azzam
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/v7kfwd77

Abstract

UMKM Tahu Sari Bumi Karawang is a tofu producer that produces 20,000 tofu beans per day. As a large producer, this MSME still applies manual cutting methods, which has an impact on limited productivity and product quality. The non-uniformity of tofu size not only affects the appearance of the product but also potentially reduces customer satisfaction. In addition, the limited use of tools makes the production process slower and reduces labor efficiency. Therefore, this study aims to design a tofu cutting tool to improve time efficiency and ensure more uniform cut results. The design of tofu cutting tools uses a value engineering approach, which is a structured and function-oriented team approach to analyze various functions in a product, system, or supply process. The goal is to increase value by identifying and eliminating unnecessary costs, while ensuring the achievement of desired performance with efficient cycle costs. Based on the research results, this tool consists of five main components with food grade stainless steel material. With an investment of Rp 1,466,000, this tool has a payback period of four weeks and can save cutting time up to 77%, and produce more uniform and precise tofu pieces. Keywords: Efficiency, Product Quality, Tofu Cutting Tool, Value Engineering
Analisis Produktivitas Produksi Roti Sisir di Best Dough Bakery Malang Ahana, Gloria Irene Rambu; Budiharti, Nelly; Myrtanti, Reiny Ditta
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/vvp8v954

Abstract

Best Dough Bakery is a bread business that produces comb bread as its main and superior product. However, there is a problem encountered, where there is a deviation between the production results and the predetermined production target. This indicates a problem in production productivity so it is necessary to measure productivity. The methods used in this research are objective matrix (OMAX) and fishbone diagram. The results obtained from the highest productivity value occurred in July which was 501.25 while the lowest productivity occurred in April which was 352. The highest score is in criterion 5, which is the comparison between total machine downtime and machine usage time with a total score of 43. While the lowest score is in criterion 2, which is the comparison between production results and employee working hours with a score of 29. Therefore, criterion 2 is the priority for improvement as well as the main problem in the productivity of comb bread production. The results of the analysis of the causes of problems in criterion 2 with the fishbone diagram show that there are differences in labour capabilities and lack of coordination, irregular raw material stocks, limited work areas, no routine maintenance schedule and insufficient oven capacity, the bread cutting process is still manual and documentation regarding raw material stocks is not consistent. Keywords: Fishbone Diagram, Objective Matrix, Productivity
Rancang Bangun Sistem Keamanan Kolam Ikan Berbasis IoT dan Sensor Gerak Passive  Infra-Red (PIR) Deri, Rahmi Rismayani; Faisal, Restu; Permana, Muhammad Rafif; Madani, Adnan; Samsudin, Muhammad
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/0h7kkt40

Abstract

Theft and disturbance of wild animals in fish ponds is still a serious challenge that has not been optimally handled by conventional security systems. This research designed an IoT-based security system using Arduino Uno R3, PIR sensors, buzzers, and LEDs as an effective and economical solution. The method used is research and development (R&D) with the stages of design, implementation, and testing. The results of the functional test showed that the PIR sensor detected movement up to 7 meters with a response of 0.2 seconds, while the notification system worked effectively. Field simulations recorded 87% accuracy and the system remained stable in the operational conditions of the pool. User surveys resulted in an average score of 4.5 out of 5. The system offers novelty in simple yet reliable integration for an open environment. Implicitly, this technology can significantly improve pond safety and is easily adopted by small-scale fish farmers. Keywords: Arduino, PIR sensor, Pool security    
Inovasi Alat Pengering Tepat Guna: Desain Oven Multi-Fungsi untuk Mendorong Standarisasi dan Daya Saing Produk UMKM Sundari, Susanti; Syahputra, Muhammad Reyhan; Suwarni, Putri Endah; Putra, Febriyansyah; Pratama, Very Zota; Nashiruddin, Muhammad; Andrian, Andi
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/c791gs18

Abstract

The main challenge for SMEs in the agro-industry sector is the low efficiency and product quality inconsistency resulting from conventional, weather-dependent drying methods. This study aims to design and verify an optimized multifunctional hybrid dryer oven model to support quality standardization and productivity in micro and small-scale settings.The quantitative approach utilizes the benchmarking method, focusing on developing a design that is more efficient and user-friendly (ergonomic) compared to existing models. The research successfully developed a hybrid cabinet oven with a practical capacity of 15–25 kg. Technically, the oven demonstrates superior performance: It uses a low-power energy combination of LPG and electricity (250 Watts), providing a cost-effective solution for energy efficiency;  the construction utilizes stainless steel material, ensuring durability, corrosion resistance, and compliance with hygiene standards (GMP); and functional verification confirmed the achievement of temperature stability and precision (ranging from 50°C to 100°C) via a thermal control system. This enables measurable drying processes within 120–180 minutes, significantly minimizing moisture variation. With an estimated production cost of Rp4,790,000, the oven is proven to be economically viable and highly potential for widespread adoption. This innovation substantially contributes to improving product quality and operational independence for local SMEs. Keywords: Benchmarking, Dryer Oven, Multifunctional, Quality Standardization, SMEs.
Klasifikasi Pengendalian Persediaan Bahan Baku Chemical Cigarette Paper Pada PT XYZ Dengan Metode Always Better Control (ABC) Anisti, Tiara Nanda; Nisah, Firda Ainun; Arifin, Jauhari
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/msn5e397

Abstract

PT XYZ is a company that produces cigarette paper, in which the manufacturing process requires chemical raw materials as a key component. As an exporter, the company must maintain continuous production, even during logistical disruptions such as road closures during the Eid al-fitr holiday. This condition requires bulk ordering of raw materials before the holiday, making proper storage essential ti preserve material quality over an extended period. This study aims to classify chemical raw materials using the ABC (Always Better Control) method, which categorizes items based on annual consumption value and warehouse movement into category A (fast moving), B (medium moving), and C (slow moving). The results show 2 materials fall into category A, 1 into category B, and 4 into category C. This classification is expected to help the company develop more efficient inventory control strategies and adaptive storage systems to meet operational demands. Keywords: ABC Method, Chemical Raw Materials, Cigarette Paper, Inventory Control
Pengendalian Persediaan Bahan Baku Menggunakan Metode Min-Max Stock Pada Produk Keramik Lantai PT AB Damayanti, Atika; Debora, Fransisca; S, Ade Momon; Kabul, Putri Meiliawati
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/fjk00t36

Abstract

In production systems, optimal raw material inventory management is crucial in maintaining production continuity. Excess inventory will increase storage costs, while inventory shortages can cause production disruptions and lost sales opportunities. Therefore, in this study, the aim is to determine the control of raw material inventory in the manufacture of floor ceramics, namely Andesite by utilizing the min-max stock method, where later in the data processing, forecasting is carried out with time series methods such as Double Exponential Smoothing, Moving Average, Weight Moving Average, and Linier Regression. Based on the results of data processing, the forecasting model using Linear Regression was selected because it has the smallest Mean Square Error (MSE) value, then the calculation results are used to determine the amount of safety stock, minimum and maximum stock, reorder point to order frequency. The calculation results obtained inventory value produces a minimum stock value of 658,182 KG, and a maximum stock of 1,276,183 KG. The quantity in one order is 1,236,001 KG with an order frequency of 60 times. The research results obtained can be used as an inventory policy at PT AB in reducing stockouts on Andesite raw materials using the Min-max stock method. Keywords: Ceramic Floor Raw Materials, Inventory Control, Min-max stock Method
Analisis Total Productive Maintenance dengan Menggunakan Metode Overall Equipment Efectiveness pada Mesin Injection Molding di PT. DEF Nugroho, Pratama Syadi; Fasa, Nadia
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/ctqz0r21

Abstract

The application of Total Productive Maintenance (TPM) using the Overall Equipment Effectiveness (OEE) method at PT. DEF, The issue of maintenance has become crucial as it affects not only the reliability of the machines but also the speed and quality of production. This study will explore how the implementation of TPM using the OEE approach can improve machine effectiveness in a production environment, with a focus on timely and optimal maintenance strategies.The research aimed to assess the efficiency and effectiveness of machine operations, particularly injection molding machines, within the company's production line. Through the collection and processing of operational data, it was found that the OEE value for the machines in question ranged from 94% to 95%, surpassing the company's set standard of 93%. The high OEE score reflects effective machine utilization, availability, performance, and quality rates. The research highlights that while the current system meets international standards for machine maintenance, continuous improvements can further optimize machine productivity and reduce downtime. Keywords: Injection, Molding, OEE, TPM
Perancangan Aplikasi Peramalan Permintaan Berbasis VBA Macro Excel dalam Penerapan di Industri Fashion Firdaus, Fauzan; Komaro, Mumu; Dwiyanti, Vina
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/x7gczg19

Abstract

In the highly dynamic fashion industry, demand forecasting is crucial for predicting consumer needs and improving production efficiency. However, demand uncertainty can lead to financial losses and damage market reputation. Therefore, this research aims to develop a demand forecasting system for midriff top products at CV XYZ using the Double Exponential Smoothing (DES) method and VBA Macro Excel. The results show that the DES method can be used to predict midriff top product demand with high accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 12.93%, which is below 20%. The forecasting system developed using VBA Macro Excel can assist the company in making more accurate production decisions and improving production efficiency. Additionally, this forecasting system can help identify trends and demand patterns for midriff top products, thus supporting the company in developing more effective marketing strategies. Keywords: Demand Forecasting, Fashion Industry, VBA Macro Excel, Waterfall
Analisis Total Productive Maintenance (TPM) pada Mesin Labelling Menggunakan Overall Equipment Efectiveness di PT. G Hidayatullah, Revanda; Nurkhaerani, Fatma
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/vmqs5q35

Abstract

The technology used in a company will continue to advance with time. The technology frequently used involves reliable production machines for smooth production processes. Therefore, machines that play a crucial role in the production process must be well-maintained. Inaccuracies in quality checks on goods to be sold in the market will result in complaints or losses for the company from the released products. Such losses include insufficient attention to checking the quality of products and machines, leading to imperfections in surface evenness and hindering the process. Total Productive Maintenance (TPM) is a maintenance approach that optimizes machine efficiency, reduces breakdowns, and includes autonomous maintenance performed by machine operators. Based on data from weeks 1 to 4 in March 2024, it can be concluded that calculations using the TPM method resulted in an OEE value of 94%, indicating that the productivity and efficiency level of machines or equipment at PT. G has surpassed world-class standards and is near-perfect. Factors that can be improved to achieve an OEE value of 100% are Availability and Rate of Quality. Keywords: Overall Efectiveness Equipment, Production, Total Productive Maintenance

Page 32 of 35 | Total Record : 345

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