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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 16 Documents
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Search results for , issue "Vol. 6 No. 2 (2025): Journal La Multiapp" : 16 Documents clear
Logistics Distribution Route Design Using Taboo Search Method Nugraha, Yaskie Cahyana Septiviandra Ade; Donoriyanto, Dwi Sukma; Nugraha, Isna
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1789

Abstract

Logistics, as the science and art of managing goods, energy, information, and other resources, plays a vital role in the economy through shipping, receiving, warehousing, and distribution. Optimal routes can reduce travel distances and maximize transport capacity, optimize resource use, and reduce the environmental impact of logistics activities. PT Spectrum Indo Transport is a logistics company serving the Java-Bali region with 40 trucks, including wingbox, colt diesel, and colt diesel long. However, the company often experiences delays in delivery. The largest demand is for 275 gram cereals distributed to the East Java region. The East Java region includes Malang (3,100 kg), Mojokerto (2,500 kg), Gresik (2,500 kg), Lamongan (2,300 kg), Nganjuk (2,700 kg), and Surabaya (2,300 kg). The fleet chosen is a colt diesel with a capacity of 5 tons due to high consumer demand. The company wants to optimize the distance of the delivery route to prevent delays in the distribution of goods. The purpose of this study is to improve the efficiency of the delivery of the Colt Diesel Box fleet in East Java carried out by PT Spectrum Indo Transport through the application of the Tabu Search method in determining the distribution route. It is expected that by implementing Tabu Search, the company can achieve more efficient delivery. With the shortest route, it will provide an optimal influence on the delivery of goods and can meet delivery on time.
Evaluation of the Implementation of ISO 9001:2015 Quality Management System on HR Performance Nawwar, Maritza; Safirin, Mochamad Tutuk
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1866

Abstract

This research was conducted to measure the extent to which the implementation of the ISO 9001:2015 Quality Management System influences the HR performance of PT XYZ using the ISO 9001:2015 clause, namely Organizational Context, Leadership, Operations, Performance Evaluation, and Improvement as measuring tools. This research is quantitative in nature and the data was distributed to 56 PT XYZ staff using Google Form. The data obtained will be processed using SPSS software with the multiple linear regression analysis method. From the results obtained, it is known that the regression analysis equation is Y = 0.428 + 0.040X1 + 0.099X2 – 0.110X3 + 0.078X4 + 0.122X5. It can be said that the variables Leadership (X2), Performance Evaluation (X4), and Improvement (X5) have a significant influence on HR performance. This is supported by the linear regression equation which obtained a positive value on HR performance. Apart from that, with the linearity test it can be seen that the data produced is linear in relation to HR performance because the results obtained are greater than 0.05. Therefore, this research can be a consideration for improving the ISO 9001:2015 Quality Management System on HR performance.
Optimization of Production Capacity Jumbo Bag by Method Theory of Constraints Brilian, Delinda; Rochmoeljati, Rr.
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1920

Abstract

PT. XYZ is a company engaged in production jumbo bag with a capacity of 500–2000 kg. Increased demand occurred in jumbo bag with a capacity of 500 kg which causes problems in the production process, especially at work stations Cutting (SK-4), which experienced obstacles in the form of bottleneck due to limited resource capacity. This condition hampers efficiency and productivity, so that companies are unable to meet production targets during the period May to October 2024. This research aims to optimize production capacity jumbo bag by applying Theory of Constraints (TOC) through approach Drum-Buffer-Rope And Linear Programming which is processed using software POM-QM. Research stages include identification constraint, exploitation constraint, non-subordinatin constraint, as well as elevation constraint. From the results of this research, a solution was obtained in the form of addition shift work at the station Cutting (SK-4) through reduction shift at the station Needle Loom (SK-3) without reducing the number of operators, managed to increase the efficiency of the production process significantly. The implementation results show an increase in production time capacity from 129511 minutes to 291399.8 minutes (an increase of 26%) as well as an increase output production of 1,476 unit to 3,320 unit. Thus, the company managed to overcome obstacles bottleneck, increase operational productivity, and achieve predetermined production targets more optimally.
Integration of House of Risk and Analytic Network Process Methods in Mitigation of Risk in the Sugar Production Process Riska Dewi, Nanda; Ernawati, Dira; Rahmawati, Nur
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1961

Abstract

PT.XYZ is a company engaged in manufacturing, specifically in the production of granulated sugar. The problem that occurs in this company is the increasing number of gravel sugar defects by 18% or 1,019.52 tons. This number far exceeds the defect limit set by the company of 5% or 283.2 tons per month. Therefore, the purpose of this study is to identify the risks of the sugar production process using the House of Risk (HOR) method and determine the best alternative for priority risk mitigation through the Analytic Network Process (ANP) method at PT.XYZ. The HOR method is used to identify and classify risks based on severity and likelihood. Furthermore, the ANP method is used to determine the priority of risk mitigation strategies by considering the interdependence between risks. The results of the study showed that through the Focus Group Discussion (FGD) approach, 25 risk events and 25 risk sources were obtained which will be used to determine the mitigation strategy in the House Of Risk (HOR) method. Based on the calculation results of the rate agreement for alternative (W) of 0.777778, it shows a fairly high level of conformity among respondents' answers in selecting risk mitigation alternatives. Based on the calculation results on the super decision software, the highest normalized value was obtained, namely in the Desuperheater alternative of 0.51145. With this research, it is expected to help companies in overcoming company problems and can increase profits for the company.
Analysis Defect Products in Silencers Using the New Seven Tools Method Annandita, Alifia Rizky; Rochmoeljati, Rr.
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1986

Abstract

Quality is important for a product so that it can have more value than other products. To maintain quality, quality assurance (quality) is required. As is the case with silencer products produced by CV. Nyoto Plastik, silencer is a product that must maintain its quality value. Therefore, many defects in silencer products must be repaired by analyzing the causes of the defects. Based on research, the average defect in this silencer product reaches 10% within one year. New Seven Tools is a method for finding out the causes of defects based on humans, methods, materials, machines or the environment by using the seven tools contained in it. Therefore, this research aims to help maintain the quality of silencers by analyzing the causes of defects and providing suggestions for improvements to minimize defects that occur using the New Seven Tools method.
Analysis of Waste in the Production System with the Approach Lean Manufacturing Method Utomo, Prastyo; Pudji, Endang
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1999

Abstract

Improving the production process needs to be done continuously and continuously in order to minimize all activities that consume time but do not contribute directly to the value of the products produced. PT Cipta Oggi is a manufacturing company that makes furniture products which has a major problem, namely the low value of Process Cycle Efficiency, which the company should have a PCE value of at least 50%. The use of lean manufacturing methods with the help of VSM is used to reduce waste in order to increase the PCE value. There are 22 non-added value activities with a time range of 427 minutes that can be cut. Where the production time was originally 1353 minutes to 926 minutes which had an impact on increasing Process Cycle Efficiency which was originally 46.8% to 68.4%. Based on Failure Mode and Effect Analysis (FMEA), it is known that the main root cause that has the highest RPN value is the Overprocessing waste with a score of 420 and the proposed improvements in order to reduce this waste are the need for safe storage management that can reduce the risk of damage to goods which requires additional processes, namely rework and additional human resources are needed in the inspection process in order to reduce the number of rework.
Sentiment Analysis of Bamboo Charcoal: Comparing Machine Learning Algorithms for Effective Insights Agustine, Giovanni Ega; Jayadi, Riyanto
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.2010

Abstract

This research aims to analyze sentiments toward bamboo charcoal on social media, with a focus on public perception in the global market in English. Using data collected from the social media platform X, this study applies various machine learning algorithms, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Deep Learning, Naïve Bayes, Decision Tree, and Gradient Boosted Trees, with TF-IDF as the text representation. The analysis reveals that the SVM model achieved the most accurate result of 92.33%, demonstrating its effectiveness in sentiment detection. The study also found that the KNN model performed well, achieving an accuracy of 92.26%, although slightly lower than SVM. These findings highlight the growing interest in bamboo charcoal as a sustainable product, reflecting positive sentiments in the data. Additionally, the Deep Learning model also showed promising results, although it was slightly less effective than SVM and KNN. However, there were also notable concerns regarding the environmental impact of bamboo harvesting, which were primarily expressed in posts. The Decision Tree model, while useful, did not perform as well as the other models, indicating the need for further refinement. Future research could explore a broader range of social media platforms, models, and languages to gain a more comprehensive understanding of global perceptions. Furthermore, integrating sentiment analysis with real-time monitoring could help stakeholders respond more effectively to shifts in public opinion.
Design of a Web-Based Citizen Complaint System in Increasing Citizen Participation in the Village Development Process Ningrum, Diah Ayu Cahya; Riadi, Aditya Akbar; Susanto, Arief
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.2039

Abstract

Jekulo Village faces challenges in managing citizen complaints and grievances due to limited physical infrastructure and time. The conventional complaint mechanism is often ineffective in accommodating citizen aspirations in a transparent and responsive manner. The manual complaint recording and resolution process also causes complaint handling to be slow and less organized. This paper aims to discuss the importance of implementing a web-based citizen complaint system to increase community participation in village development. This system is designed so that residents can submit complaints, grievances, and suggestions more easily and efficiently, while also allowing the village government to respond to complaints more quickly and accurately. With a technology-based system, communication between residents and the village government can run more transparently, and increase accountability in handling complaints. The results of the development of a web-based citizen complaint system in Jekulo Village show increased efficiency in handling public complaints. This system accelerates the process of receiving, verifying, and resolving citizen complaints, so that problems can be handled more quickly and accurately. In addition, transparency in resolving complaints increases, which has an impact on increasing citizen trust in the village government. With the real-time complaint status monitoring feature, residents feel more involved in the village development process. The system also provides data that can be analyzed to identify patterns of problems that often occur, so that village governments can take preventive steps to resolve recurring issues. Overall, the system is an effective tool in strengthening community participation and building villages that are more inclusive and responsive to the needs of their citizens.
Posyandu Information System in Payaman Village to Optimize Web-Based Health Services for Toddlers and the Elderly Sugiarto, Elmalia Risma Putri; Riadi, Aditya Akbar; Susanto, Arief
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.2042

Abstract

The information system at Payaman Village Posyandu is currently still done manually by recording data using paper, making it vulnerable to errors in data processing and storage. This approach is less efficient, especially in managing registration data for toddlers and the elderly, as well as recording health history which is often not well documented. To overcome this problem, a website-based information system was developed which aims to increase efficiency and accuracy in the Posyandu administration process. This system is designed to make it easier to register participants, monitor the growth of toddlers and the health of the elderly in a more structured and well documented manner and carried out well by staff. The main users of this system are posyandu officers and village midwives who have access to health data and patient examination history. This system was built using the Waterfall software development method, with PHP and MySQL-based technology as the database. This system allows online registration to be carried out by Posyandu officers, central management of health data, and automatic creation of health history recapitulation reports. With this system, the Posyandu service process can be carried out more effectively, efficiently and transparently. In addition, the data stored in the system can be used for more accurate analysis of village community health. The implementation of this system is expected to improve the quality of health services at the Payaman Village Posyandu, reduce the risk of recording errors, and provide benefits for health workers in monitoring patient conditions on an ongoing basis.
Implementation of Machine Learning-Based Classification Model in Employee Recruitment Decision Prediction Adillah, Muhammad Fauzan Nur; Suakanto, Sinung; Utama, Nur Ichsan
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.2050

Abstract

Employees are vital assets for any organization, and accurate recruitment decision-making is crucial for the organization's long-term success. Incorrect decisions can lead to high costs due to re-hiring processes, onboarding, and decreased productivity. This study aims to develop a recruitment decision prediction model using data obtained from the Final Results of the 2024 CPNS Recruitment in the Ministry of Finance. The data includes attributes such as educational background, age, GPA, SKD Score, and SKB Score. To understand the relationships between variables, correlation analysis was conducted using a correlation matrix and heatmap visualization. Additionally, data exploration was performed using histograms to show the influence of attributes on recruitment decisions. This study employs five machine learning algorithms for prediction: Linear Support Vector Machine, Decision Tree (C5.0), Random Forest, k-Nearest Neighbor (k-NN), and Naïve Bayes Classifier. The results indicate that some attributes significantly influence recruitment decisions, and machine learning models can identify candidates who are more suitable for the available positions. Among the five models tested, Naïve Bayes proved to be the most effective, achieving an accuracy of 88% and an AUC of 0.97, demonstrating its strong performance in distinguishing positive and negative classes. The key factors contributing to the model's success include relevant feature selection, data quality, as well as appropriate preprocessing and validation techniques. This model is expected to enhance objectivity, efficiency, and accuracy in employee recruitment processes, thereby assisting organizations in making more precise and fair decisions.

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