Tag: penelitian terbaik Scopus UNIKOM

  • Improving Lean Manufacturing System Using Value Stream Mapping Analysis

    Improving Lean Manufacturing System Using Value Stream Mapping Analysis

    Authors: Henny H, Ghifari Syafiq Alhakim, Agus Heri Setya Budi, Muhammad Aditya

    Abstract

    This study aims to identify waste in company x and provide recommendations for improvements in the scope of gembos paper production. Thus, this research can be beneficial in solving problems in the production scope, especially in identifying waste. An appropriate method is needed to identify the waste in the scope of production, namely by using the Value Stream Mapping method as the first step in identifying waste in the paper production scope, then proceed with using the five whys method to find out the root of the problem and to help provide a solution to a problem that exists on the paper production floor at company X. The results of this study describe the current state mapping as a mapping on the scope of production, then proceed with value streams in the fourth each process starting from receiving raw materials, preparing elliptical machines, elliptical machine processes, and the paper making machines. Displaying the results of five whys explained the root of the problem and provide solutions or recommendations based on the analysis, thus this research is beneficial for companies in helping to solve problems that occur on the production process so that the production system can be effective and efficient. © 2023 Taylor’s University. All rights reserved.

    Author keywords

    Lean; Production process; Value stream mapping

    This article can be accessed at https://www.scopus.com/pages/publications/85176611503 

  • Visualization Analysis of Geofencing Marketing Research Data Mapping in 2017-2022 on the Google Scholar Database with Vosviewer

    Visualization Analysis of Geofencing Marketing Research Data Mapping in 2017-2022 on the Google Scholar Database with Vosviewer

    Authors: Rizky Jumansyah, Muhammad Ihsan Rifaldi, Eddy Soeryanto Soegoto

    Abstract

    Geofencing is a GPS-based technology that monitors the movement of objects such as vehicles, people, and goods, and automatically sends their geographic coordinates to a control center via a network. By defining a virtual boundary around an area, called a geofence, the system can determine if the object is within or outside of the boundary and issue a warning if it’s outside. The aim of this study is to analyse bibliometric data on geofencing using VOSviewer software in order to gain insights into the research trends and identify main themes that can be useful for future research. The study used a quantitative and descriptive bibliometric approach and searched for articles on “Geofencing marketing” on Google Scholar. The search yielded 1000 articles published between 2017-2022. The findings indicate that research on geofencing peaked in 2017 and declined in 2018 and 2019, increased in 2020, but declined again in 2021 and 2022. The study highlights the importance of bibliometric analysis in geofencing marketing research and serves as a reference for future research on this topic. © 2023 Taylor’s University. All rights reserved.

    Author keywords

    Bibliometric; Data Analysis; Geofencing; marketing; VOSviewer

    This article can be accessed at https://www.scopus.com/pages/publications/85176585035

  • Computational Bibliometric Analysis on Adaptive Gamification Using Vosviewer

    Computational Bibliometric Analysis on Adaptive Gamification Using Vosviewer

    Authors: Euis Neni Hayati, Dedeng Hirawan, Agis Abhi Rafdhi

    Abstract

    The goal of this study is to examine bibliometric literature reviews on the topic of adaptive gamification, utilizing VOSviewer software to unify mapping analyses. Nowadays, games are not just for entertainment, but can also serve as a learning medium, commonly referred to as gamification. In the fields of education and marketing, gamification is increasingly being implemented. This study includes VOSviewer mapping analysis, Publish or Perish tools, and Google Scholar. The data collection method used descriptive and qualitative approach to identify published studies and their findings. The search for data used the keyword “adaptive gamification” in Google Scholar through the Publish or Perish software. The results reveal 975 published articles from 2017-2021. The research on adaptive gamification peaked in 2019-2020 but decreased in 2021. Finally, this work stresses the significance of bibliometric analysis, particularly in the field of adaptive gamification, and seeks to serve as a resource for future research. © School of Engineering, Taylor’s University.

    Author keywords

    Adaptive gamification; Bibliometric; Computational; VOSviewer

    This article an be accessed at https://www.scopus.com/pages/publications/85176615603

  • Structured Methods in Travel Information Systems

    Structured Methods in Travel Information Systems

    Authors: Adi Rachmanto, Anisa Widayanti, Oktifridayanti Salsabila, Novyanty Octaviani, Aliza Saba Rachma

    Abstract

    Many travel businesses continue to employ a conventional system that needs customers to come to them directly to purchase tickets. Using this approach, however, takes a long time and is inefficient. With the advancement of information technology, it is now feasible to access data practically, quickly, and efficiently, which may be advantageous to the firm. This study’s goal is to create an information system for booking and canceling tickets. The design of this information system may make it simpler for customers and officials, and it can be taken into account in an effort to solve information system difficulties. This study technique employs descriptive data gathering methods such as observation and interviews with MyTours travel agents, whereas the system development method uses structured methodologies. The findings of this study indicate the design of Mytours’ information system for ordering and canceling tickets. It is hoped that this research will be taken into account in the improvement of information systems, as well as make it easier for consumers and officers to access information effectively and efficiently. © School of Engineering, Taylor’s University.

    Author keywords

    Information systems; Structured methods; Travel

    This article can be accessed at https://www.scopus.com/pages/publications/85176555176

  • Efficient Autonomous Road Vehicles Local Path Planning Strategy in Dynamic Urban Environment Using Rrt-Acs, Bi-Directional Rule Templates, and Configuration Time-Space

    Efficient Autonomous Road Vehicles Local Path Planning Strategy in Dynamic Urban Environment Using Rrt-Acs, Bi-Directional Rule Templates, and Configuration Time-Space

    Authors: Muhammad Aria Rajasa Pohan, Jana Utama

    Abstract

    This study aims to present an effective local path-planning strategy for Autonomous Vehicles (AVs) operating in a dynamic urban environment. The method combines bi-directional rule templates, configuration time-space, and RRT-ACS algorithm (hybridization of rapidly exploring random tree star with ant colony system). The use of RRT-ACS accelerates the convergence of feasible pathway planning. Path quality is improved using bi-directional rule templates derived from dynamic urban environment traffic scenarios and combining the RRT-ACS algorithm with configuration time-space. The resulting technique, RRT+BRT+CTS (RRT-ACS with two-way rule template and configuration space-time), emerged as a major research breakthrough. Several simulations of dynamic urban environmental conditions are used to validate the effectiveness of the RRT+BRT+CTS. Comparisons were made with two well-known path-planning algorithms used in dynamic urban environments: Fast RRT and Closed Loop RRT (CL-RRT). The simulation results demonstrate the superior performance of the proposed strategy for local path planning in dynamic environments regarding speed and efficiency for AVs. As a result, the proposed strategy is a suitable choice for addressing the complex challenges of Avs’s urban navigation. © School of Engineering, Taylor’s University.

    Author keywords

    Autonomous road vehicles; Bi-directional rule templates; Configuration time-space; Path planning; RRT-ACS algorithm

    This article can be accessed at https://www.scopus.com/pages/publications/85176544101

  • Decision Support System to Assist Students in Choosing Thesis Research Topics

    Decision Support System to Assist Students in Choosing Thesis Research Topics

    Authors: Annisa Paramitha Fadillah, Muhammad Rajab Fachrizal, Muh Reski

    Abstract

    As one of the graduation requirements at the university level, students must complete a thesis or final project. In practice, students often find it difficult to determine the theme or topic of research. The research topic is expected to be in accordance with the student’s ability, based on the academic value that has been achieved in the previous lecture process. For this reason, in this study, an analysis will be carried out on what course recommendations can support the students’ thesis and final project processes, which are expected to assist students in determining the theme or research topic, based on the values of the courses that have been taken by students in the learning process. previously. The analysis was carried out using the k-means algorithm. The results of this research will provide recommendations to help lecturers and students in determining the themes of the thesis that will be made. © School of Engineering, Taylor’s University.

    Author keywords

    Data mining; Decision support system; K-means

    This article can be accessed at https://www.scopus.com/pages/publications/85176557645

  • Affecting Factors Success of Accounting Information System (AIS)

    Affecting Factors Success of Accounting Information System (AIS)

    Authors: Fairuz Nabila Damayanti, Sri Dewi Anggadini, Ayu Aldila

    Abstract

    This study aims to see how improved organizational culture, managerial espouse, and internal command affect the success of accounting information systems (AIS) in small and medium-sized businesses. A descriptive and verified technique using a quantitative approach was adopted. The pattern uses 30 patterns from small and medium organizations that carry out accounting records systems. Multiple linear regression analysis is employed as the analytical method, and T-test is used to evaluate the speculation partially. According to the findings, corporate culture substantially impacts the success of the AIS. The backing of top management substantially impacts the accounting information system (AIS)’s success. Internal control significantly impacts the success of an AIS since the more robust the organizational culture, the better the present AIS will be. The results are expected to provide solutions or solve problems related to AIS that are unavailable, not on time, and experiencing issues in carrying out their functions so that the AIS could be more optimal. Through this research, it can also be helpful to provide an overview and proof that many factors influence the success of the AIS, so these factors must be considered and improved to realize the goals of small and medium enterprises, namely, to improve people’s welfare. © School of Engineering, Taylor’s University.

    Author keywords

    Internal control; Organizational culture; Success of accounting information system (AIS); Top management support

    This article can be accessed at https://www.scopus.com/pages/publications/85176570166

  • Using of Thesaurus in Query Expansion on Information Retrieval as Value Creation Strategy through Big Data Analytics

    Using of Thesaurus in Query Expansion on Information Retrieval as Value Creation Strategy through Big Data Analytics

    Authors: Graha Noviana, Agus Rahayu, Ratih Hurriyati, Lili A. D. I. Wibowo, Erwin Yulianto, Rizky Jumansyah

    Abstract

    Research still does not frequently use the concept of value creation through the application of big data analytics. Additionally, the internet serves as a limitless supply of knowledge that comes from different people all over the world and is delivered in a variety of ways, including text documents, photos, audio files, and video. Search engine is a tool used to find different types of information on the internet. The issue that frequently occurs when looking for information online is that the search results for the intended subject are frequently unrelated to the terms entered. In order to increase the relevance of the data obtained from the search results, the goal of this study is to implement the query expansion approach, which involves reformulating the initial query in order to add several phrases utilizing a thesaurus. The waterfall model was used in conjunction with the Software Development Life Cycle (SDLC) in the research. The results showed that the creation of a document search engine based on an information retrieval system was able to enhance data relevance and the standard of document search outcomes in big data analysis. The recall results are higher due to the usage of query expansion, which allowed for the retrieval of more pertinent documents. It is clear that by adopting this technique, the relevancy of the data in the search system can be improved. © School of Engineering, Taylor’s University.

    Author keywords

    Big data analytic; Information retrieval; Query expansion; Thesaurus; Value creation strategy

    This article can be accessed at https://www.scopus.com/pages/publications/85147674328

  • Designing the Plastic Wrapping Trolley in the Packing Process to Reduce the Risk of Injury on Musculoskeletal Disorders (MSDS)

    Designing the Plastic Wrapping Trolley in the Packing Process to Reduce the Risk of Injury on Musculoskeletal Disorders (MSDS)

    Authors: M. Yani Syafei, Agus Riyanto, Gabriel Sianturi, Hasna Nafisa

    Abstract

    PT. SMC is a filter trading company that involves business processes such as inventory, packing, and delivery. Manual material handling activities in the packing process are considered non-ergonomic and can lead to musculoskeletal disorders. One of the packing process activities is plastic wrapping on crates, in which workers carry 12 kg of plastic rolls around a 120×120×150 cm crate, starting from a bending position and lifting the plastic roll to a standing position. The goal of this study was to analyze and improve the wrapping process in terms of ergonomics and productivity. To assess the condition of activities, the Nordic Body Map and Rapid Entire Body Assessment (REBA) methods were used. In addition, a plastic wrapping tool is designed to help the worker in packing activities, and the Quality Function Deployment (QFD) method was used to develop the design process. According to the results of the nordic body map data, many workers have a complaint of pain in the waist and right hand. Using the REBA assessment for the existing condition was obtained the risk level of the lower position was very high, the risk level of the middle position and the upper position were high, while the output of the wrapping processes was 19 pallets per day. Three tool designs were developed, and the plastic wrapping trolley was selected as the best design. After using tools, the research shows that the plastic wrapping procedure in. PT. SMC is classified as non-ergonomic, causing a high risk of harm to the waist and right hand. By using the quality function deployment approach, a wrapping trolley is chosen to be manufactured, and the end REBA value is 3, indicating a low risk level. Another benefit shows that, there was an increase in manufacturing output specifically from 19 pallets/day to 37 pallets/day. © School of Engineering, Taylor’s University.

    Author keywords

    Design; Musculoskeletal disorders; Packing; Trolley; Wrapping

    This article can be accessed at https://www.scopus.com/pages/publications/85148375538

  • Comparative Analysis of Web Hosting Server Performance

    Comparative Analysis of Web Hosting Server Performance

    Authors: Setiawan E. B, Setiyadi A

    DOI: 10.5829/ije.2023.36.03c.16

    Abstract

    This research discusses the comparison performance of different hosting servers. The hosting server that is used as a comparison consists of four types. Namely, Indonesian shared hosting servers, foreign shared hosting servers, Indonesian virtual private servers, and foreign virtual private servers. The parameters tested in this study are load time, domain name system, connection, and secure socket layer. The tools used for testing the performance comparison of the hosting server are Dotcom-Tools, Pingdom.com, Webpage Test, and sitespeed. The results of this comparison can be an input for potential users who have plans to online their applications using a hosting server. The total value of web server hosting Indonesian shared hosting servers (SH I) is 28.975 milliseconds (ms), foreign shared hosting servers (SH LN) are 8.267 ms, Indonesian virtual private servers (VPS I) are 14.195 ms, Foreign virtual private servers (VPS LN) are 11.835 ms. This research concludes that foreign shared hosting servers (SH LN) are the best web hosting servers because, on some of the parameters tested, this server has the best value because it gets the lowest value with 8.267 ms. © 2023 Materials and Energy Research Center. All rights reserved.

    Author keywords

    Analysis; Performance; Server; Web Hosting; Website

    This article can be accessed at https://www.scopus.com/pages/publications/85148887924