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.
Articles
274 Documents
<![CDATA[Identification of Waste in Outsole Production Process Using Waste Assessment Model and 5W 1H Method ]]>
<![CDATA[Hernanda, Santoso Bayu]]>;
<![CDATA[Sumiati, Sumiati]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i3.1940
<![CDATA[UD. Santoso is a small and medium industry (IKM) engaged in the production of footwear, especially outsoles. In the production process, UD. Santoso faces various problems that result in waste such as: high percentage of defects, production not in accordance with market forecasts, long machine setup, long distances between rooms, and inefficient movement of materials. The company also realizes that the outsole production process is not efficient and there is a lot of waste. This study aims to identify the type of waste that occurs using the waste assessment model method, as well as provide recommendations for improvement to improve production efficiency with 5W1H analysis. From the results of the analysis, it was found that the three highest types of waste were the main causes, namely: motion (19.34%), which was caused by the distance between the production warehouse and the storage was quite far. Second, over-production (16.90%), caused by over-focusing on machine capacity and inaccurate forecasting. Third, defects (16.79%), caused by incorrect drawing techniques. As a solution, companies are advised to make more effective layouts, set production targets, and provide training in withdrawal techniques.]]>
<![CDATA[Building Scalable and Robust Adaptive Capacity Arbitration Algorithms for the Next Generation of WCDMA Wireless Networks ]]>
<![CDATA[Dallal, Haroon Rashid Hammood Al]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i3.1969
<![CDATA[The plans to improve execution in optical multi-transporter Code Division Different Access (CDMA) upstream correspondence frameworks. The review centers around defeating difficulties connected with further developing correspondence effectiveness, diminishing obstruction, and expanding generally speaking throughput in optical multi-transporter CDMA organizations. Through the examination of various coding systems and improvement strategies, this exploration adds to the progression of optical correspondence advancements.]]>
<![CDATA[Woven Bag Production Scheduling With Heuristic Pour Algorithm and Earliest Due Date ]]>
<![CDATA[Afriza, Ajeng]]>;
<![CDATA[Rochmoeljati, Rr.]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i3.1971
<![CDATA[PT. XYZ is a company engaged in manufacturing, especially in producing woven bags, which are plastic sacks made of Polypropylene (PP). PT. XYZ faces the problem of too long makespan time in the application of the First Come First Serve (FCFS) method. Although considered simple, FCFS is less efficient in complex production, especially with variations in processing time. As a result, jobs with longer processing times are often prioritized, resulting in delays in shorter jobs. This causes a longer total completion time and requires the implementation of a more efficient scheduling method to minimize makespan and improve production performance. The purpose of this study was to determine the optimal woven bag production job and to reduce makespan and delays in woven bag production with the Heuristic Pour Algorithm and Earliest due date (EDD) at PT. XYZ. From the calculation results using the first come first serve method with the job sequence 1-2-3-4-5-6, the total makespan value was 33119 or 551 hours 59 minutes. Meanwhile, the calculation using the heuristic pour algorithm method and Earliest due date (EDD) obtained the sequence of jobs 3-2-4-1-6-5 with a total makespan of 28528 minutes or 475 hours 28 minutes. The calculation using EDD also showed a decrease in lateness for each job, where the lateness of job 3 was the smallest, namely -10 days with a due date of 17 days. Based on this research, the percentage decrease in makespan value was 13.86%.]]>
<![CDATA[Optimizing Learning Object Sequencing in E-Learning Systems Using Human Behaviour-Based Particle Swarm Optimization ]]>
<![CDATA[Kadhim, Raed Waheed]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i3.1991
<![CDATA[The distinctive requirements, educational attainment, and learning response of the learners are the critical key issues in the e-learning system. This goal is achieved by identifying the students' diverse assessments of their identity and capabilities and assigning them appropriate learning materials, as indicated by these highlights. The present paper introduces an efficient learning system that optimizes the sequencing of Learning Objects (LOs) in an e-learning system. Learning Objects (LOs) are educational materials typically divided into components. The procedure is performed by sequencing the learning objects of pupils or learners, and the sequence represents the organized arrangement of LOs. The sequencing problem can be considered a Constraint Satisfaction Problem (CSP) due to the utilization of the competency to characterize the correlation among LOs. The Human Behavior-based Particle Swarm Optimization (HPSO) algorithm can be employed to solve the problem using a swarm intelligence scheme. Results indicate that the algorithm is more effective in resolving the matter.]]>
<![CDATA[Analysis of Spare Parts Inventory Control Using the Min-Max Stock Method and Continuous Review ]]>
<![CDATA[Lailiyah, Wardatul]]>;
<![CDATA[Pulansari, Farida]]>;
<![CDATA[Dewi, Sinta]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i3.2011
<![CDATA[Inventory is one component that has an important role in a company. The smooth production process and demand fulfillment will be greatly influenced by how to manage this component properly. PT XYZ, as one of the strategic power generation units in Indonesia, is responsible for providing a stable supply of electricity. As a company that relies on the reliability of machines and spare parts, good inventory management is essential. The problems faced include the inaccuracy in the procurement of spare parts which causes overstock or stockout with a range of around 10% to 20% which can disrupt the operation of the plant. improvements in inventory control are made using the Min-Max Stock and Continuous Review methods, both of which maintain a balance between inventory costs and spare parts availability to compare the smallest total inventory cost including ordering costs and storage costs. In addition, this research has novelty by providing recommendations for mitigating downtime risks to optimize spare parts inventory control in the power generation industry. Based on the results of the calculation of total inventory costs, the min max stock method is proven to be able to produce lower inventory costs and get savings of Rp 159.961.310 or around 25%. This efficiency proves that the application of Min-Max Stock can optimize spare parts inventory costs.]]>
<![CDATA[Learning to Optimize Meter Reading Routes in Billing Management Problems in the Balata Regional Unit ]]>
<![CDATA[Muchtar, Gatot Mochamad]]>;
<![CDATA[Simanjuntak, Rinovia Mery Garnierita]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i2.2043
<![CDATA[Meter reading route optimization is a significant challenge in the billing management of the State Electricity Company (PLN). This study evaluates the potential of the Traveling Salesman Problem (TSP) in overcoming this problem. By applying TSP to the Balata Region case study, this study aims to find a more efficient and effective route solution. The results of the study are expected to reduce operational costs, increase officer productivity, and increase customer satisfaction. It is hoped that TSP can be an attractive alternative for electricity companies in optimizing the meter reading process.]]>
<![CDATA[Analysis of Long Short-Term Memory and Support Vector Regression Methods in Forecasting Electric Energy Sales: Case Study ]]>
<![CDATA[Septiawan, Adi Harjo]]>;
<![CDATA[Fauzi, Umar]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i2.2045
<![CDATA[This study aims to predict the sales of electrical energy of PT PLN (Persero) Greater Jakarta Distribution Unit by using machine learning methods, specifically Long Short-Term Memory (LSTM) and Support Vector Regression (SVR). The data used includes electrical energy sales trends from 2016 to 2023 as well as external data from the Central Statistics Agency (BPS), which includes economic and demographic factors that affect energy demand, such as economic growth, population, and seasonal factors. LSTM was chosen for its ability to handle long-term dependencies in time series data, while SVR was used as a comparison to other regression methods. The resulting model is expected to provide more accurate predictions and be useful for PT PLN in planning the distribution of electrical energy efficiently. This research also contributes to the development of the application of machine learning in forecasting, which is growing in various sectors, including the energy sector, to improve operational efficiency and data-based decision making.]]>
<![CDATA[Performance and Cost Comparison of Building Structures with SRPM and Shearwall in Seismic Dynamic Analysis ]]>
<![CDATA[Qur’ani, Difla Yustisiya]]>;
<![CDATA[Sulaksitaningrum, Roro]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i2.2046
<![CDATA[As a country located on the Pacific Ring of Fire, Indonesia faces a high seismic risk, necessitating the design of earthquake-resistant buildings. This study evaluates the seismic performance and cost implications of multi-story U-shaped buildings using the Moment Resisting Frame System (SRPM) and shear walls. Four structural models with different configurations were analyzed using ETABS 22 for structural behavior and Microsoft Excel for cost estimation. The results indicate that models with shear walls exhibit better lateral stiffness, resulting in shorter fundamental periods and smaller interstory drifts. Model 2 demonstrated the best seismic resistance, making it the primary choice for earthquake-prone areas. However, the cost analysis showed that models without shear walls, particularly Model 4, were more economical. While shear walls increase initial construction costs, they offer long-term benefits by reducing potential structural damage and post-earthquake maintenance costs. This study provides valuable insights into balancing seismic safety and cost efficiency, assisting in the selection of the optimal structural system for earthquake-prone regions.]]>
<![CDATA[Experimental Study on the Utilisation of Independent Wire Fibre Core Steel Wire Rope Braces to Enhance the Stability of a 2d Concrete Portal against Lateral Forces ]]>
<![CDATA[Zarkasi, Ahmad]]>;
<![CDATA[Fitrayudha, Adryan]]>;
<![CDATA[Hidayati, Nurul]]>;
<![CDATA[Santika, Yuliana]]>;
<![CDATA[Marsa D.P, Khendy]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i3.2170
<![CDATA[Structural stability in construction, especially in buildings exposed to lateral forces due to earthquakes, is very important to consider. This research aims to explore the effectiveness of using Independent Wire Fibre Core (IWFC) steel wire rope braces in strengthening two-dimensional (2D) concrete portals. The method used is a series of laboratory tests to measure the performance of concrete portals equipped with IWFC braces. Concrete portals with dimensions of 1.00 m in the width direction and 1.50 m in the height direction were tested with lateral loading to simulate the effects of earthquakes. The test results showed that the use of IWFC braces increased the load resistance capacity of the portal by 16.13%, from 14.00 kN to 26.13 kN, and reduced the deviation by 30.43%, from 2.30 mm to 1.68 mm. In addition, the analysis showed an increase in the response modification factor (R) from 4.69 to 5.03, while the Cd value of the non-braced portal was 3.29 using braces was 3.02 and the Ω0 value of the non-braced portal was 3.50 and after using braces was 2.84. These findings open up opportunities for the application of better structural strengthening techniques in order to improve the safety and stability of buildings in earthquake-prone areas.]]>
<![CDATA[Sustainable Utilisation of Beach Sand as Fine Aggregate Replacement and Its Effect on Concrete Strength with Admixtures Reinforcement ]]>
<![CDATA[Hamdani, Hafiz]]>;
<![CDATA[Zarkasi, Ahmad]]>;
<![CDATA[Fitrayudha, Adriyan]]>;
<![CDATA[Akhsae, I Gede Anaga]]>;
<![CDATA[Pratama, Khendy Marsha Duta]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v6i3.2171
<![CDATA[This research was conducted to review the feasibility of beach sand from the Batu Bolong village of West Lombok Region as an alternative fine aggregate in concrete manufacturing. The background of this research is based on the decreasing supply of sand from rivers and mountains. The main objective of this research was to evaluate the compressive strength of concrete using beach sand, both with and without a washing process, and assess whether this material could be applied in structural construction. In addition to technical aspects, the local community's habit of utilizing beach sand is also part of the consideration in this study. The result oh the tests showed that the compressive strength of normal concrete without admixtures at 3, 7, and 28 days of age were 16.42 MPa, 19.21 MPa, and 23.39 MPa, respectively. The addition of the "BETON MIX" admixture increased the strength to 20.78 MPa, 23.38 MPa, and 26.44 MPa. Meanwhile, concrete using washed beach sand showed compressive strengths of 22.67 MPa, 23.61 MPa, and 25.16 MPa. The concrete with unwashed beach sand produced strengths of 21.72 MPa, 22.40 MPa, and 23.08 MPa. The results of this study indicate that sand from Batu Bolong beach has the potential to be a substitute for fine aggregate in concrete. However, its use must still consider ecological impacts so as not to disturb the balance of the coastal environment.]]>
