Journal La Multiapp
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.
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274 Documents
<![CDATA[Performance Measurement Based on the Green Manufacturing Concept with Organization for Economic Co-operation and Development Indicators ]]>
<![CDATA[Prastian, Favian]]>;
<![CDATA[Pudji, Endang]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i6.1502
<![CDATA[When a country builds factories and industries, it helps the country grow and become better. It can create more jobs and make things run faster. But sometimes, these factories can make the water and water dirty. Therefore, it is necessary to measure company performance based on the concept of green manufacturing. The indicators used in measuring company performance are green manufacturing indicators based on the Organization for Economic Co-operation and Development (OECD). In the research results, out of 18 indicators, 5 indicators were found to be unfulfilled, these indicators are the intensity of water pollution at the process stage, energy consumption in using products at the output stage, and greenhouse gas emissions in using products at the output stages. With 13 indicators that are in line with the concept of green manufacturing, the performance of PT. XYZ related to the concept of green manufacturing is included in the Advance category.]]>
<![CDATA[Advancing Flood predication based on integrating Traditional and Deep Learning Techniques ]]>
<![CDATA[Mahdi, Muthana S.]]>;
<![CDATA[Abbas, Ishraq Khudhair]]>;
<![CDATA[Muhammed, Ban M.]]>;
<![CDATA[Abbas, Hiba Abdulrazzaq]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i6.1520
<![CDATA[Flood prediction is critical for reducing the negative effects of catastrophes. This study investigates the use of classical and deep learning algorithms to accurately anticipate flood levels using past ecological information. The study takes two approaches: linear regression and deep neural networks (DNN). These models are trained and evaluated using historical records stretching years, as well as moisture, temperature, and rainfall measurements. Visualization tools, such as development/validation reduction charts projected against real floodwater level graphs, can help understand model learning behaviors and efficacy. Furthermore, a combination model method is investigated, which combines forecasts from both approaches and has the promise to improve the accuracy of predictions. Future forecasts for the year 2025 can be generated using expected atmospheric conditions, illustrating the models' usefulness in projecting eventual floodwater levels. Measures of assessment and visualization results demonstrate the effectiveness of deep learning technologies in improving flooding predictions when contrasted with classic conventional techniques. This investigation advances flooding forecasting skills by combining known statistical approaches and new deep learning algorithms, thereby helping in active catastrophe control and vulnerability planning.]]>
<![CDATA[Using Machine Learning to Detect Unauthorized Access in Database's Log Files ]]>
<![CDATA[Abed, Israa Jihad]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i6.1538
<![CDATA[The paper investigates the use of machine learning techniques to detect unauthorized access in database log files. Results show that most algorithms of supervised machine learning performed well in identifying normal cases but struggled to detect anomalies, with the exception of Naïve Bayes and Random Forest which gave mediocre results by identifying one out of twenty anomalies. In the semi-supervised machine learning methods, Local Outlier Factor showed an accuracy of 0.98 in detecting normal cases and 0.7 in detecting anomalies. One Class Support Vector Machine had an accuracy of 0.89 for normal cases and 0.05 for anomalies, while Isolation Forest had an accuracy of 0.98 for normal cases and 0.0 for anomalies. These findings suggest that semi-supervised techniques may be more effective in detecting unauthorized access in database log files.]]>
<![CDATA[Analysis of Furniture Product Quality Control with Statistical Quality Control Methods and Failure Mode and Effect Analysis ]]>
<![CDATA[Ghufron, Muhammad Zhaki]]>;
<![CDATA[Aryanny, Enny]]>;
<![CDATA[Islami, Mega Cattleya Prameswari Annissaa]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i6.1586
<![CDATA[PT. Tjakrindo Mas is a manufacturing company based in Indonesia that supports the government, industrial, public, and private sectors. Established in 1984, the company produces home furniture made from various types of wood. During the period from December 2023 to May 2024, the company faced production issues with its furniture products. According to production scheduling data, the furniture production intensity was high, operating 5 days a week. During this period, the highest production rate was for the 2 Door Glass Wardrobe, totaling 5,638 units. However, despite the high production volume, the defect rate for the 2 Door Glass Wardrobe was also high, with 498 defective units, representing a defect rate of 8.83%, which exceeds the company's tolerance standard. The objective of this study is to assess the quality of the Glass Wardrobe product at PT. Tjakrindo Mas and to propose improvements to enhance the product quality. Observations identified that the highest Risk Priority Number (RPN) was associated with the close side rail rupture defect, caused by the operator not being careful when installing the close side rail to the cabinet body, and the work methods used not in accordance with the Standard Operating Procedure (SOP). Recommendations for quality control proposals based on the high RPN value of FMEA Close Side Rail Rupture is to provide supervision and guidance to workers, and Provide briefing to operators about methods that are in accordance with the standard operating procedures (SOP) used by the company.]]>
<![CDATA[Workload Analysis Using the Full-Time Equivalent and Rating Scale Mental Effort Methods in the Production Division ]]>
<![CDATA[Azizy, Annisa Rahmi]]>;
<![CDATA[Rusindiyanto]]>;
<![CDATA[Rizqi Novita Sari]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i6.1587
<![CDATA[CV Aurexell is an industry engaged in the food sector, namely bread. In the production process, several problems cause physical and mental workloads, where employees at dough-making, weighing, and molding workstations feel physically burdened because they have to work standing up for a day and mentally burdened because they have to meet production targets every day but there is a shortage of employees at the fermentation and baking, also cream filling workstations. To solve these problems, we must take workload measurements to find the optimal number of employees. Based on data processing using the FTE method, it is evident that the physical workload of all employees falls within the normal category, which ranges from 1 to 1.28, which means that the number of employees at CV Aurexell is optimal because the physical workload is normal. Based on data processing using the RSME method, it is evident that operators 7 and 9 have mental workloads of 85.33 and 83, respectively, classified as great effort. At the same time, other operators require rather much too considerable effort. The optimal number of workers in the RSME method is six people for the dough-making, weighing, and molding workstation, three for the fermentation and baking workstation, three for the cream-filling workstation, and thirteen for the packaging workstation.]]>
<![CDATA[Analysis Planning Relay Layout with Computerized Relative Allocation of Facilities Technique Approach ]]>
<![CDATA[Marcelani, Rigel Saesaria]]>;
<![CDATA[Joumil Aidil SZS]]>;
<![CDATA[Yekti Condro Winursito]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 1 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i1.1588
<![CDATA[PT XYZ is one of the manufacturing industries engaged in the production of palm oil processing. The products produced are cooking oil and margarine. So far, the implementation of activities has been hampered by the current layout conditions having a less efficient material handling path length, in addition, the distance between facilities is too far ± 150m which results in repeated transportation, this results in PT XYZ's material transfer activities being less effective. Therefore, this study aims to redesign the layout of production facilities in order to minimize material handling costs and raw material movement distances to be more effective. From these problems, the method used is the CRAFT (Computerized Relative Allocation of Facilities Techniques) method, this method can be done with the help of FTC (From to Chart), ARC (Activity Relation Chart) and ARD (Activity Relationship Diagram) calculations. The results of this study showed that the CRAFT algorithm succeeded in saving total material handling costs of Rp. 469,352.04 per day and reducing the total distance of movement by 67.15 meters. The reduction in material handling costs achieved was Rp 2,114,734.77 or around 81.84%, while the reduction in material handling distance reached 306.85 meters or around 82.05%.]]>
<![CDATA[Surfactant Content Influence On Formation Water Compatibility ]]>
<![CDATA[Oktavia, Della Azlia]]>;
<![CDATA[Ramadhan , Romal]]>;
<![CDATA[Prabowo , Dimas Hadi]]>;
<![CDATA[Syaifurrohman, Alfatih]]>;
<![CDATA[Abdurrahman , Muslim]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 5 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i5.1598
<![CDATA[In the pursuit of resolving surfactant non-solubility issues for enhanced oil recovery, this study identifies surfactants that are soluble and compatible with the formation brine of the Langgak field. Over the course of 21 days, the solubility and compatibility of 12 various surfactants were evaluated in synthetic brine with a salinity of 100 ppm and a reservoir temperature of 58˚C. The results indicated that surfactants S3 to S11 were compatible, exhibiting no signs of cloudiness or precipitation, thus making them suitable for further testing. These surfactants are recommended to proceed to phase behavior and interfacial tension (IFT) tests to evaluate their performance and impact on brine formation under reservoir conditions. Conversely, surfactants S1, S2, and S12 demonstrated incompatibility with the Langgak field's brine, as evidenced by cloudiness and precipitation. This incompatibility highlighted specific surfactant compositions that do not align well with the brine composition, providing crucial insights for future surfactant formulation. Understanding these interactions aids in improving the process of choosing surfactants that work well in comparable conditions. Overall, this study establishes a foundational understanding of surfactant-brine interactions, guiding the selection of suitable surfactants for enhanced oil recovery in the Langgak field.]]>
<![CDATA[Analysis of Work Posture tn the Car Body Assembly Process Using the Rapid Entire Body Assessment Method ]]>
<![CDATA[Sujatmiko, Bagus]]>;
<![CDATA[Akmal Suryadi]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i6.1599
<![CDATA[CV. Faisyal Putra Mandiri located at Kandangan Rejo Lebar street No.11 Surabaya City, is one of the manufacturing industry companies engaged in car body production. In their work activities there are still workers who do not apply ergonomic work postures while working. Unergonomic work positions can cause some parts of the body to not be in their normal position so that they are very vulnerable to musculoskeletal disorders. To overcome these problems, work posture improvement is carried out. Based on the results of the study, it was found that after simulating the use of tools in the metal cutting process, namely the Hydraulic Scissor Lift Table, it can reduce the risk of worker injury through a final REBA value of 7 with a moderate risk level to a final REBA value of 2 with a low risk level. Then in the welding process can reduce the risk of worker injury through the final REBA value of 9 with a high risk level to the final REBA value of 3 with a low risk level. In addition, it is recommended to use a chair as a tool, which is proven through work simulation to reduce the risk of injury. In metal cutting, the REBA value drops from 7 with a moderate risk level to 3 with a low risk level, and in welding, from 9 with a high risk level to 3 with a low risk level.]]>
<![CDATA[Security Quality Measurement Based on ISO/IEC 25023 Quality Model Case Study: Hospital Management Information System ]]>
<![CDATA[Taniasari, Nungky]]>;
<![CDATA[Shodikin, Mohamad]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 5 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i5.1626
<![CDATA[Hospitals need to protect the security of data assets, where data assets are an important part of the continuity of hospital operations. In connection with the protection of data and information assets in the hospital, it has become a requirement for the hospital information technology team to carry out a security audit of the hospital management information system (HMIS). In this study, we measured the quality of the HMIS software in X Hospital using ISO 25023 which focused on the security aspects of the outpatient service module and drug services in the outpatient pharmacy unit. The security aspect based on the ISO 25023 standard consists of five main characteristics, namely: confidentiality, integrity, non-repudiation, accountability and authenticity. In the early stages, calculations are carried out to find the value of each measurement standard which is denoted by (X). The X value is based on the standard calculation range of values 0 and 1. The threshold value is determined at 0.80 to categorize the point quality whether it is not good or has met the ISO 25023 quality point. The results of software quality measurements show Internal Data Corruption Prevention is worth 0.75 and is at below a predetermined threshold value. Based on these results, it is recommended to improve one of them by replication the database to minimize the possibility of Internal Data Corruption Prevention. In this study, all aspects of software quality have an average value above the threshold, so it can be concluded that HMIS in RS X meets ISO 25023 standards.]]>
<![CDATA[Design and Build of Communication Protocol Trainer Tools on Networks between PLCs and HMIs ]]>
<![CDATA[Rudiansyah, Hendy]]>;
<![CDATA[Ridwan, Ridwan]]>;
<![CDATA[Purnomo, Wahyudi]]>;
<![CDATA[Hadiani, Dini]]>;
<![CDATA[Arrizik, Muhammad Zidan]]>
<![CDATA[ Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v5i6.1633
<![CDATA[With the rapid advancement of science and technology, the role of technology in industry is also increasing, particularly through automation that simplifies and enhances work process efficiency. To support this development, education plays a crucial role in enhancing students' competencies. One relevant subject in industrial technology is Programmable Logic Controller (PLC). In PLC education, trainer tools are used to help students understand industrial control concepts. At Politeknik Manufaktur Bandung, particularly in the Mechatronics and Automation Engineering Technology programs, the use of PLC trainers is still limited to basic input-output features. Survey results show that most students only understand Ethernet communication protocol and have never connected more than one PLC in a single system, resulting in a limited understanding of inter-PLC communication. This research aims to develop a trainer that teaches various PLC communication protocols, including Controller Link, DeviceNet, Serial RS-232C, and Ethernet, with inter-PLC and HMI communication implementation. The system uses three PLCs, where an Omron CP1H PLC as the master uses Controller Link to communicate with another Omron CP1H PLC as a slave, DeviceNet for remote slave devices, Serial RS-232C to communicate with an Omron CJ2M PLC as a slave, and Ethernet connected to Human Machine Interfaces (HMI) Omron NB7W and Kinco GL070E for PLC data monitoring. Based on the assessment results, the overall trainer tool evaluated received an effectiveness score of 95.1% from 6 aspects of the assessment. This trainer is expected to enhance students’ understanding of PLC communication protocols and their applications in integrated systems.]]>
