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INDONESIA
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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Case Reporting System with Tracking and Chat Machine Learning for The Department of Women's Empowerment and Child Protection Manado Rumondor, Andreas; Wensen, Viltie A.; Budiman, Marson J.; Kapoh, Harson
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2178

Abstract

This study aims to develop a more interactive, responsive, and participatory web-based case reporting system for the public, particularly within the Department of Women’s Empowerment and Child Protection (DWECP) of Manado City. The developed system, named LABRRAK, integrates two key components: (1) a machine learning-based chatbot that utilizes the Google Dialogflow platform with Natural Language Processing (NLP) technology to automatically respond to user inquiries; and (2) a real-time case tracking feature based on a finite state machine algorithm, allowing reporters to directly monitor the progress of their cases. This research adopts a Research and Development (R&D) method combined with the Agile development model, which emphasizes an iterative and evaluative process through sprint stages. This approach enables the system to adapt to changing user needs and enhance its features based on direct feedback. Each sprint cycle concludes with testing using the Black Box Testing method to ensure that all system functionalities perform as expected. The testing results demonstrate that all core features, including case reporting, chatbot conversations, status tracking, and the administrative analytics dashboard, function optimally and meet user requirements. LABRRAK’s innovation lies in its integration of dynamic status tracking and two-way communication features into a single, unified digital platform. The system is expected to accelerate case handling, improve transparency, and strengthen accountability in addressing cases of violence against women and children. Furthermore, LABRRAK has the potential to serve as a prototype for the development of other inclusive, technology-driven public service systems in the social sector.
Implementation of Web-Based Furniture Store Management Information System Dwimaelani, Riska; Riadi, Aditya Akbar; Susanto, Arief
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2229

Abstract

In the era of increasingly rapid digitalization, the need for efficient and integrated business management is becoming increasingly important. Companies that are able to manage data systematically and in real-time have a competitive advantage in facing market competition. Alma Jati Mebel Pati, as a business actor in the furniture industry sector, faces challenges in the operational management process, such as manual transaction recording, non-centralized stock management, and difficulties in making fast and accurate sales reports. This study aims to develop and implement a web-based furniture store management information system to improve the efficiency and effectiveness of the company's operations. This system is built using the Waterfall method which consists of several stages, namely needs analysis, system design, implementation, and testing. The technologies used include PHP as a programming language, MySQL as a database management system, Laravel as a backend development framework, and Bootstrap for a responsive and user-friendly interface. This system is equipped with main features such as recording sales and purchase transactions, product stock management, and financial report generation. Testing was carried out using the Black Box Testing method to ensure that the system's functionality runs according to user needs. The test results show that all features function properly without significant errors. In addition, the usability test conducted on users resulted in a satisfaction rate of 85%, indicating that the system is easy to use and helpful in daily work processes. With this system, Alma Jati Mebel is expected to optimize business management more effectively, efficiently, and integrated.
Simultaneous Caffeine Extraction and Enzymatic Inactivation through Microwave Thermobiochemical Process Yulianto, Mohamad Endy; Madina, Haura Salwa; Aprilani, Berliana
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2238

Abstract

Indonesia is known as one of the countries producing tea with high bioactive compounds such as caffeine, phenol, and catechin. This study evaluated the effectiveness of microwave-based thermobiochemical methods to extract the three compounds while simultaneously inactivating enzymes. The extraction process was designed using the Factorial Design method, involving variations in the feed:solvent ratio (1:22 and 1:32), temperature (110 °C and 130 °C), and time (10, 20, and 30 minutes). The results showed that catechin had the highest effect of 5.85 with a probability of 35.87%, followed by phenol (5.18; 59.68%) and caffeine (4.51; 54.47%). The normal probability plot graph indicated a distribution of effects approaching normal with R² of 0.9458 (catechin), 0.9395 (phenol), and 0.7946 (caffeine), respectively. Meanwhile, the optimization graph shows a perfect linear relationship (R² = 1), with optimal levels of 17.18 mg/L (catechin), 9.36 mg/L (phenol), and 9.77 mg/L (caffeine), respectively. Thus, this method is proven to be efficient and has the potential to be further developed for sustainable natural material processing industry applications. The variables were designed using the Factorial Design method.
Development of a Web-Based Selling System Utilizing the RajaOngkir API at Toko Hijab ByAlya to Enhance Online Transaction Performance Safitri, Sabrina Alya; Wijayanti, Esti; Chamid, Ahmad Abdul
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2266

Abstract

Toko Hijab By Alya, located in Kudus, is a newly established hijab retail store that faces challenges in reaching potential customers who do not use mobile-based e-commerce applications. To address this issue, a web-based selling system has been developed, integrated with the RajaOngkirAPI. This system allows customers to conveniently purchase hijab products online without the need to install additional applications, while simultaneously providing real-time and accurate shipping cost estimations. The integration of the RajaOngkir API enables the calculation of shipping fees from various courier services, enhancing transparency and improving customer satisfaction regarding delivery charges. The web-based platform not only simplifies the shopping experience but also provides clear and accessible delivery information, enabling the store to expand its market reach and increase online transaction volume. The implementation of this system is expected to significantly improve online sales performance and provide customers with a seamless shopping experience.
Implementation Lean Warehousing Using Waste Assessment Model (WAM) Method Maulana, Alfin Bima; Ernawati, Dira; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.1972

Abstract

Warehouses play an important role in maintaining product quality until the product is delivered to consumers. The many important activities in the warehouse require companies to improve their performance to be effective and efficient in order to maintain trust. ABC Company is a private company engaged in civil construction, landfilling, cut and fill, heavy equipment rental, and spare part distributor. In warehousing activities, there are various activities that don’t have value added or waste. This study aims for identify waste and provide recommendations for improving warehousing activities. The implementation of Lean Warehousing is carried to identifying the warehousing flow process with Value Stream Mapping (VSM), then identifying 7 wastes that occur in the warehousing process using the Waste Assessment Model (WAM) method. The results of the study showed that the waste with the highest percentage level was waste inventory (I) waste overpurchase (O) waste defect (D). From the proposed improvements and Future stream mapping, it was found that the lead time was reduced to 544 minutes, which eliminated 200 minutes of non- value added activity. So that activity increased by 27% from the initial condition.
Implementation of Line Balancing to Increase the Productivity of the Box Aspect Production Process Arifin, Defitria Sabrina Firdaus; Saifuddin, Joumil Aidil
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2003

Abstract

In the manufacturing industry, the balance of the production trajectory is an important factor in increasing productivity and efficiency. In the production process at PT XYZ, there are problems with the balance of the production trajectory at the workstation, so it is necessary to determine the optimal production trajectory so that the load on the workstation can be evenly distributed and able to reduce idle time. The Ranked Positional Weight (RPW) and Region Approach (RA) methods were chosen in this study. The main bottleneck was found at the hole cutting stage, where tool limitations caused output differences between manual and machine processes. This imbalance resulted in idle time which affected the overall production efficiency. The analysis results show that the application of RPW and RA methods is able to improve trajectory efficiency by optimizing the number of work stations and reducing idle time. The analysis results state that the company can achieve a trajectory efficiency of 88.48% and reduce the balance delay from -16.67% to 15,73% and a smoothness index of 611,25%.
Analysis of Machine Performance Using the Overall Equipment Effectiveness and Six Big Losses on Double Saw Machines Nazhif, Muhammad Naufal; Saifuddin, Joumil Aidil
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2024

Abstract

PT Sumber Mas Indah Plywood is a manufacturing company engaged in the furniture sector with product specialization in plywood manufacturing furniture and plywood furniture. The research was conducted in January-December 2023 using the Overall Equipment Effectiveness (OEE) method to determine the effectiveness value of the machine.The objective of this study is to improve the performance of the double saw machine and propose improvements at PT Sumber Mas Indah Plywood to improve production quality. This study was conducted to measure the effectiveness of the double saw machine to determine its effectiveness value. the Overall Equipment Effectiveness (OEE) method is used here to measure it. The OEE value is affected by three factors, which are the availability, performance, and quality. The results obtained are that the effectiveness of the machine is still quite high, with an OEE value of 83.54% and still below the OEE standard value of 85%. To improve OEE, additional steps could include the identification of emerging problem. This allows improvement efforts to be directed towards addressing major challenges. The recommendation for the proposed repair of the double saw machine owned by PT Sumber Mas Indah Plywood should be used as a preventive maintenance strategy where the strategy can be carried out to monitor the machine so that it is in prime condition and ready to use and preventive steps can be taken before a problem occurs on the double saw machine.
Analysis of Quality Control of Fabric Products Using Statistical Quality Control (SQC) Methods and Failure Mode and Effect Analysis (FMEA) Al Habri, Muhammad Anjab; Donoriyanto, Dwi Sukma
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2032

Abstract

Companies in the industrial world, both manufacturing and service industries, are required to face market competition in order to compete and survive. One thing that companies need to pay attention to is the quality of the products produced. Good product quality will make consumers like the product. Therefore, improving product quality must be considered by the company. One of the companies that produces fabric, namely PT. XYZ, has a problem of not knowing the level of quality of the fabric produced, so this study aims to determine the quality of the product and provide suggestions for improvement to the company. There are defects in fabric production, namely double weft with a percentage of 27.7%, loose weft 26.7%, broken warp 24.5% and thick weft 21.2%. Improvement proposals are given to the highest percentage of defects, namely double weft with the following proposals: Carrying out machine maintenance and replacing the new gun eye so that the gun eye is not blunt, replacing the roller on the worn warping machine with a new roller, providing comprehensive and intensive training to workers on how to use the machine effectively and correctly. It is hoped that this research can help the company improve the quality of the fabric products produced.
Cost and Time Performance Analysis Using the Earned Value Concept in the Construction of the Integrated Lecture Building at the State Polytechnic of Shipbuilding Surabaya Bahari, Victor Fajar; Rizki, Muhammad Alvan
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2154

Abstract

Time and cost control is an important aspect in the success of construction projects, especially in large-scale projects such as the construction of the Integrated Lecture Building (GKT) of Surabaya State Polytechnic of Shipping. This research aims to analyze the time and cost performance of the project using the earned value concept. With this method, measurement and evaluation of project performance can be done quantitatively based on earned value data. The results of the analysis show that from the evaluation results in the 35th week, the value of ACWP is Rp. 47,741,219,980.93, the BCWP value is Rp. 47,874,478,839.55, and the BCWS value is Rp. 47,721,477,927.80. Based on the ACWP, BCWP, and BCWS values, the Cost Variance (CV) value is Rp. 133,258,858.63 and the Schedule Variance (SV) is Rp. 153,00,911.76. This figure indicates that the costs incurred are more efficient and the implementation time is faster than planned. The values of CPI and SPI equal to 1.00 indicate good cost performance within budget as well as good schedule performance with the schedule on time against the plan. The estimated cost of ETC is Rp. 1,476,532,576.73 and EAC is Rp. 49,217,752,557.66. The estimated time of ETS is Rp. 1.99 weeks and EAS is 36.99 weeks. With the application of this method, deviations from schedule and budget can be identified early so that decision making can be done appropriately to return the project to the predetermined schedule.
Hybrid Feature Selection Using Secretary Bird Optimization and Decision Tree Classifier Jabbar, Qabas Abdal Zahraa
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2196

Abstract

Feature selection is one of the most crucial concepts of learning when constructing a machine learning algorithm. This paper proposes a new technique of using a blend of Secretary Bird Optimization (SBO) and Decision Tree for feature selection. SBO, with the consideration of hunting strategy of called secretary bird, can successfully search the space and find feature subsets. The first proposed framework involves identifying the relevant features by applying SBO then secondly deciding on a ranking of the features by using a decision tree model classifier. Evaluation is based on the most famous Iris dataset with the application of the 5-fold cross-validation to increase the reliability of the results. It is shown that the SBO-based approach succeeds in both objectives, and the average classification accuracy is equal to 0.9550 ± 0.0316, while the baseline selection methods have higher values of loss. This result has unveiled a theoretical and practical potential for future works that seek to combine metaheuristic optimization with decision trees and interpretability of selected features and machine learning models.

Page 23 of 28 | Total Record : 274

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