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Journal La Multiapp
Published by Newinera Publisher
ISSN : 27163865     EISSN : 27211290     DOI : https://doi.org/10.37899/journallamultiapp
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Engineering
International Journal La Multiapp peer reviewed, open access Academic and Research Journal which publishes Original Research Articles and Review Article, editorial comments etc in all fields of Engineering, Technology, Applied Sciences including Engineering, Technology, Computer Sciences, Architect, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil & Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 274 Documents
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Application of Design Thinking in Designing User Interface Prototype of Worker Health Screening Application at PT Petrokimia Gresik Ramadani, Deo Globy; Tranggono, Tranggono; Islami , Mega Cattleya Prameswari Anissa
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2194

Abstract

The application of digital technology in the worker health screening process is an important need in the industrial work environment, especially in supporting the effectiveness and efficiency of the OHS medical team's work. This research aims to design a user interface for the AppSheet-based worker health screening application using the Design Thinking approach. This method was chosen because it is centered on user needs and is able to produce innovative solutions through the stages of Empathize, Define, Ideate, Prototype, and Testing. Data collection was conducted through interviews and observations of five respondents from the OHS medical team and five department representatives. Assessment of the design was carried out using the usability testing method, with efficiency, effectiveness, and System Usability Scale (SUS) parameters. The results showed that the Design Thinking approach was able to produce an application interface that meets user needs, improves understanding of workflows, and minimizes recording errors. The developed application not only supports the digital health evaluation process, but also has the potential to reduce administrative burden and improve the quality of medical services at PT Petrokimia Gresik.
Analysis of NPK Phonska Fertilizer Bag Defects Using FTA and FMEA Methods at PT XYZ Prashodang, Tryandika Rizkat; Aryanny, Enny
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2195

Abstract

This study aims to analyze the defects in NPK Phonska fertilizer bags at PT XYZ, focusing on three main types of defects: torn bags, loose seams, and uneven stitching. From February 2024 to January 2025, a total of 33,159 tons of NPK Phonska bags were found defective, representing 6.639% of the total production. The probability of the defects occurring were calculated as follows: torn bags with a probability of 2.219%, loose seams with 2,003%, and uneven stitching with 1.388%. The research was conducted using Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods to identify the root causes and prioritize improvements. FTA was used to trace the causes of defects from a top-down perspective, while FMEA helped assess potential failures and their impacts, assigning Risk Priority Numbers (RPN) to prioritize corrective actions. The findings revealed that human errors, machine malfunctions, and inadequate work environments are the primary causes of the defects. The study concluded that improving the bagging process requires adding operators, implementing a rolling work system, conducting regular machine calibration, increasing workforce capacity to meet production deadlines, and ensuring a safe working environment. The recommendations aim to reduce defect rates and enhance productivity in the warehouse.
Risk Mitigation Strategy for CNC Plasma Cutting Machine Damage Using The House of Risk Method and Root Cause Analysis Aryaduta, Galang; Rusindiyanto, Rusindiyanto
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2202

Abstract

PT XYZ as a national strategic industrial company has a high dependence on the reliability of production machines, one of which is the CNC Plasma Cutting machine. Damage problems that occur on the machine can disrupt the smooth production process and pose a significant operational risk. In 2024, this machine experienced 35 breakdowns which resulted in a decrease in plate cutting output from the target of 1560 tons to 1417 tons. This study aims to identify the risk of machine failure and formulate mitigation strategies using the House of Risk (HOR) and Root Cause Analysis (RCA) methods. HOR is used to identify risk events, risk agents, and determine mitigation priorities based on the Aggregate Risk Potential (ARP) value, while RCA is used to find the main root cause of selected risks. The results showed that there were 5 mitigation actions that could potentially increase the cutting output by 8.8%, from 1417 tons to 1542 tons in 12 months. The combination of the HOR and RCA methods provides a comprehensive approach to risk mitigation, supporting the achievement of the slaughter output target.
Analysis of Lean Manufacturing Implementation With Value Stream Mapping and Failure Mode And Effect Analysis Method D, Muhammad Yafi; Rusindiyanto, Rusindiyanto
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2210

Abstract

PT. XYZ is a company that focuses on batik cloth production. This company produces batik cloth manually or what is commonly called mencanting. In its production process, PT. XYZ experiences obstacles in the form of waste problems. One effort to reduce or reduce this waste is by identifying the root of the waste that is occurring. Therefore, research was conducted using the lean manufacturing method and the help of value stream mapping to map the entire production process flow to make it easier to identify activities or processes that do not have a good impact. Then failure mode and effect analysis were also used to determine what priorities needed to be handled first so that this waste did not worsen production activities. From the results of the study, waste of the types of Defect, waiting, excess processing, excess inventory, and overproduction were obtained. The proposed improvements that can be given are eliminating unnecessary activities, conducting routine inspections of tools and machines, and creating a routine schedule for maintenance of tools and machines. In addition, it is also necessary to take firm action on the condition of employees, tools, and machines so that they are always maintained and always optimal.
Comparison of AlexNet and ResNet50 Model Performance in Classifying Images of Indonesian Traditional Food Kurniawan, Muhammad Randy; Christanto, Yulison Herry; Abdillah, Gunawan
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2269

Abstract

Image classification using deep learning has become an effective approach in various fields, including visual object recognition such as food identification. This study aims to compare the performance of two well-known Convolutional Neural Network (CNN) architectures, AlexNet and ResNet50, in classifying traditional Indonesian food images. The dataset used in this research is a combination of two sources: a traditional Indonesian cake dataset from Kaggle and an additional set of images of Cirebon's traditional dishes. The final dataset consists of 24 food categories with more than 4,000 images in total. Each image was preprocessed through several steps including resizing to 224x224 pixels, applying data augmentation to training samples to enhance variation, and normalization based on standard input formats of the models. The training process was carried out using the 5-Fold Cross Validation method, while performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results show that ResNet50 consistently outperformed AlexNet across all evaluation metrics. ResNet50 achieved an average accuracy of 92%, compared to 86% obtained by AlexNet. Additionally, ResNet50 demonstrated superior performance in terms of precision, recall, and F1-score. This difference indicates that deeper and more complex architectures like ResNet50 are more effective in learning visual patterns in diverse traditional food images. The study concludes that ResNet50 is a more optimal choice for the task of traditional Indonesian food image classification. These findings serve as a basis for future development of image-based food recognition systems and support the preservation of culinary heritage through artificial intelligence technology.
Semi Cascade Dam Operation for Flood Control at Pacal Dam and Gongseng Dam Zahari, Renalvin; Sobriyah, Sobriyah; Hadiani, Rintis
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2272

Abstract

The existing condition of the Pacal Dam is experiencing swallowing due to sedimentation, resulting in a reduction in storage capacity.The construction of the Gongseng Dam is a solution to this problem.Pacal Dam and Gongseng Dam are semi-cascade dams whose management is an integration of different rivers. Hydrological analysis was carried out to obtain the Inflow hydrograph using the Nakayasu HSS Method using the discharge value at a 500-year return period (Q500). To determine the optimal capacity in flood control, a simulation of the operation of the Pacal Dam gate was carried out using the Level Pool Routing method on each dam. There are four scenarios simulated in the operation of the Pacal Dam spillway gate, namely the gate is completely closed (scenario 1), the gate is opened 50% (scenario 2), the gate is opened 75% (scenario 3), and the gate is fully opened (scenario 4). The simulation results show that in scenario 1 the Pacal dam is not safe, with a maximum outflow discharge value of 72.12 m3/dt with a water level above the spillway of 6.16. In scenarios 2, 3, and 4, the outflow discharge value is 80.39 m3/dt, 113,49 m3/dt, 143,62 m3/dt with water height above the spillway of 2.68 m, 2.37 m, 2.14 m. The results of the simulation of the operation of scenarios 1, 2, 3, and 4 of the Gongseng Dam routing are safe with a maximum outflow discharge value of 260.15 m3/dt, 280,89 m3/dt, 297,90 m3/dt, 319, 38 m3/dt and water height of 1.98 m, 2.08 m, 2.16 m, 2.27 mon spillway landmark. The best scenario is scenario 4 considering the height of the guard water on the spillway.
Simulation of Dungdo Reservoir Water Distribution for Irrigation and Raw Water Pratiwi, Sekar Arum; Sobriyah, Sobriyah; Setyawan, Ary
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2287

Abstract

Small reservoirs are structures that function to accommodate excess water during the rainy season so that it can be used during the dry season. Dungdo Reservoir is expected to help meet the needs of irrigation water and raw water for livestock in the surrounding community. Water distribution simulation aims to optimize water availability efficiently and evenly. The methodology used includes water balance analysis based on rainfall data, evapotranspiration, inflow, and changes in reservoir capacity. Irrigation water requirements are calculated based on the crop coefficient (Kc), while raw water requirements are calculated based on the number of livestock. Based on the simulation results with the existing planting pattern with an irrigation area of 171.60 Ha, it shows that the average water requirement is 279605.66 m3/15 days, while the reservoir's capacity to provide water is 53135.20 m3/15 days. The simulation results show that Dungdo Reservoir has not been able to optimally meet irrigation water and raw water needs.
Risk Analysis and Mitigation in Supply Chain at PT. XYZ with Best Worst Method and House of Risk Ariyanti, Fredika Aura Kusuma; Pulansari, Farida; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2114

Abstract

Risk is a known uncertainty while uncertainty is an unknown risk. Risk can only be reduced by risk management. The purpose of this study is to solve the problems at PT. XYZ in the field of LPG tank product manufacturing. The problems experienced by the company are frequent material delays and overproduction. In this study, the problem-solving methods used are the BWM and HOR methods. The results of the study found that material delays are the main risk and with mitigation s trategies to improve supplier selection criteria.
Analysis of Yarn Materials Defects in the Warping Process using Fault Tree Analysis with Improvement Proposals 5W1H Based on the 5W1H Method Rafida, Halimas Nafi; Rochmoeljati, Rochmoeljati
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2211

Abstract

Quality control is a critical aspect of the textile industry, essential for maintaining product consistency. However, defects in yarn materials continue to persist, particularly during the warping process. This study investigates yarn defects at PT X using the Fault Tree Analysis (FTA) method, identifying 15 root causes and proposing corrective measures based on the 5W1H approach. The research specifically addresses defects in Tetoron Rayon (TR) yarn Ne 30, with a focus on Cross Defects, Defective Rolls, and Nglokor Rolls. The FTA method offers a structured approach to failure analysis, while the 5W1H method is employed to derive strategic corrective actions. The findings demonstrate that the probability of defect occurrence varies between the Direct and Sectional Warping processes. Cross Defects occur with probabilities of 0.1333% and 0.126%, Defective Rolls with probabilities of 0.159% and 0.243%, and Nglokor Rolls with probabilities of 1% and 0.171%, respectively. The analysis identifies 15 primary root causes contributing to these defects, which include machine-related failures, human error, and material inconsistencies. Based on these findings, the study recommends the implementation of preventive maintenance schedules, operator training programs, and a more rigorous adherence to standard operating procedures (SOPs). The proposed improvements are expected to optimize the warping process and enhance the overall quality of the product.
Optimization of Phoska Fertilizer Production Planning Using Dynamic Programming Method Ciko, Muhammad Hadziqul Afkar; Sumiati, Sumiati
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2213

Abstract

Indonesia's agricultural sector plays a crucial role in ensuring food security and bolstering the national economy. A major challenge, however, is the declining quality of land due to the unregulated use of chemical fertilizers. PT Gresik Nusantara Fertilizer addresses this issue by producing soil-enhancing fertilizers. Their main offerings include GNF Mutiara, GNF SP-36, and GNF Phoska, which aim to enhance soil health and increase agricultural yields. The company operates with a continuous production system, where raw materials represent the most significant expense due to their variety and volume. Labor costs arise from worker wages involved in tasks like mixing, granulating, and packaging. Energy costs, especially electricity, are critical for operating production machinery, particularly during the drying phase using a rotary dryer. Packaging costs entail the use of sacks for distributing the fertilizer to markets. To effectively manage these components and minimize resource waste, a strategy is needed to optimize production and maintain cost-efficiency. This study employs Dynamic Programming (DP) to enhance the use of raw materials in producing Phoska fertilizer. This method helps determine the optimal mix of raw materials by considering potential price variations, thereby promoting more efficient production. Additionally, forecasting techniques are utilized in the study to predict fertilizer demand based on historical data.

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