Life-cycle Methodology Research Articles

“ANXISCAPE”: An Adventure in Conquering Anxiety Via Game-Based Learning For Students

This study discusses the development and evaluation of a Game-Based Learning (GBL) application designed to educate students about anxiety disorders. The study addresses the challenge of engaging students in mental health education by creating an interactive game called “AnxiScape” using the Game Development Life Cycle (GDLC) methodology. The game aims to enhance students’ understanding of anxiety through an enjoyable and immersive experience. Evaluation results, based on the E-Game Flow Model and Heuristic Evaluation, indicate high levels of user enjoyment (90%) and usability (85.4%), demonstrating the game’s effectiveness in capturing attention, providing feedback, and improving knowledge. Integrating educational content with interactive elements can significantly enhance learning outcomes. The study suggests future improvements to optimize the game’s performance and balance educational depth with user engagement.

Game-based Learning of Fundamentals of Islam

Back in the old days, our method of learning Islamic Education was always the traditional way which included pen and paper and two-way communication between a teacher and the student. In this digital era, a new method of learning has been implemented which uses electronic devices. Learning Islamic Education often creates boredom among young students, and this will affect their concentration and understanding. To cater to this problem, a game-based learning method needs to be implemented in classrooms. The scope of the project is for young learners of Islamic Education in primary school. This study aims to research the effectiveness of game-based learning methods by using video games. The development of the game is based on the Game Development Life Cycle (GDLC) methodology. GBL Model is the model that was used to ensure it fits for education purposes. Results show that most players understand the learning content and suggest there is room for improvement.

Evaluating Learning Engagement in MyPerjuangan Game-Based Learning Using E-Game Flow: A Case Study of History Education in Malaysia

Passing the History subject in Malaysia is compulsory for students who want to receive the Sijil Pelajaran Malaysia (SPM) certificate. Traditional teaching methods, often focused on rote memorization, have led to disengagement and low enjoyment among students. This research addresses the need for improved learning engagement and information management by developing MyPerjuangan, a game-based learning platform focusing on Malaya's Japanese occupation. The aim is to evaluate the effectiveness of game-based learning in managing educational content and enhancing student engagement in history education. The study developed the platform using the Game Development Life Cycle (GDLC) methodology. It employed the E-Game Flow model to evaluate user experience across several dimensions: concentration, feedback, goal clarity, and knowledge improvement. Data were collected through a survey of 10 respondents, consisting of teachers and students, with an overall satisfaction rate of 94.3%. The mean values for key factors such as concentration (92%) and knowledge improvement (100%) indicate high levels of engagement and effective information management within the platform. These findings suggest that MyPerjuangan successfully manages and delivers historical information engagingly, significantly improving students’ interaction with the material. However, limitations such as the small sample size and the platform’s exclusivity to desktop use were identified. Future research should expand the study to a larger, more diverse sample and explore multi-platform accessibility to enhance the system's scalability. In conclusion, game-based learning is valuable for improving educational content management and student engagement in history education.

Augmented Reality-Based Car Showroom Application as a Promotional Media at Alya Motor Car Showroom

In today's fast-paced world, transportation is crucial in facilitating the movement of people and goods. As a popular means of land transportation, automobiles have continuously evolved with advanced technologies to enhance fuel efficiency and driving safety. Established in 2014, Alya Motor has served hundreds of customers using social media platforms for marketing. However, innovative marketing strategies are essential to enhance the shopping experience, especially amidst declining purchasing power. This research aims to design, implement, and test a car showroom application based on Augmented Reality (AR) as a promotional medium for Alya Motor. An Android application was developed using Blender, Unity 3D, and Vuforia to offer an interactive car viewing experience. The research followed the Multimedia Development Life Cycle (MDLC) methodology, ensuring a user-centric approach. The application was successfully tested, achieving an 86% acceptance rate in User Acceptance Testing (UAT). The AR-based application significantly improves the promotional strategy by providing potential buyers with an engaging and effective shopping experience.

A Study on Measuring the Impact of Business Process Management on an Organization’s Business Performance Superiority

The study's overarching goal is to quantify the effect of BPM on the improved business performance of participating organisations. The research used the corporate process management life cycle methodology to identify the concept of superiority. Along with describing the operational and competitive dimensions of business performance superiority, the opinions and responses of the 89 managers who made up the sample were utilised to describe (process identification and design, process modelling and documentation, process monitoring and controlling, and process optimisation). To validate the study's hypothesised model and draw attention to BPM's role in explaining why some organisations outperform others, researchers performed multiple regression analysis. Organisational managers must provide moral and financial support for business process orientation within the business entrepreneurship window in order for their organisations to maintain a competitive advantage in an uncertain, risky, and potentially volatile environment.

The Impact of Cloud Computing on System Lifecycle Methodologies: an Innovative Approach to Scalability Flexibility

This research analyzes the impact of cloud computing on traditional system lifecycle methodologies and offers an innovative approach that leverages the advantages of cloud computing. Qualitative research was conducted with a literature study on conventional system lifecycle methodologies and cloud computing. The results show that cloud computing enables increased scalability and flexibility through a service-based approach, automation, and elastic management of resources. This research provides recommendations for implementing a hybrid lifecycle methodology that leverages the advantages of both cloud and traditional systems.This paper discusses the impact of cloud computing on system lifecycle methodologies. Cloud computing offers an innovative approach to system scalability and flexibility by allowing computing and storage resources to scale dynamically according to demand. Traditional system lifecycle methodologies are becoming less relevant for rapidly changing cloud environments, so they need to be adapted to respond to the scalability and flexibility capabilities offered by cloud computing.This paper evaluates the impact of the shift towards cloud computing on the methodologies used in the system development lifecycle. Cloud computing offers the ability to scale elastically according to demand, which opens up opportunities to adopt a more adaptable and flexible approach to system development. This paper discusses how traditional system lifecycle methodologies can be adapted to accommodate key cloud computing characteristics such as scalability, flexibility, and virtualization of computing resources. This paper reviews the implications of the move towards a cloud computing paradigm on the methodologies used in developing and maintaining software systems. The shift towards cloud-based environments offers the advantages of scalability and flexibility in dynamically managing system resources. However, these key characteristics of cloud computing pose challenges to traditional system lifecycle methodologies designed for on-premise environments. This paper discusses how system lifecycle methodologies can be adapted to better support system development in cloud computing environments.

Consequential versus attributional life cycle optimization of poultry manure management technologies in a food-energy-water-waste nexus

To model the environmental and economic tradeoffs of managing poultry manure wastes in a food-energy-water-waste nexus, this work builds a framework to conduct a combined life cycle and techno-economic optimization and a spatial analysis of poultry manure management technologies. To align with the United Nations Sustainable Development Goals 6: Clean Water and Sanitation and 13: Climate Action by mitigating the massive water and climate impacts induced by the common practice of fertilizer crops using direct land application of poultry manure, the framework minimizes freshwater eutrophication (FE) impact and climate change impact (GWP). To account for the circular economy, the net present value (NPV) is maximized to measure the economic feasibility of implementing alternative management pathways. A multi-objective mixed-integer non-linear programming framework accounts for the selection of direct land application, and waste to energy technologies, spatial variation in manure supply, facility sizing, and the products’ consumption and end-of-life. This optimization framework is evaluated for a case study in New York state. Under an attributional life cycle optimization, anaerobic digestion minimizes FE with an impact of 0.002 kg P-eq/ton manure, while using a consequential life cycle optimization, hydrothermal carbonization minimizes FE with an impact of −0.96 kg P-eq/ton manure. For both life cycle methodologies, pyrolysis with land application of biochar minimizes GWP. At the attributional life cycle assessment tradeoff point for GWP and NPV, minimum carbon credits of US$33/ton CO2-eq are necessary for a pyrolysis plant to have a positive NPV, implying that harnessing economies of scale or robust carbon accounting is necessary for the widespread adoption of pyrolysis as a poultry manure management technology.

Android-Based Drug Information Application Using Augmented Reality Technology

The use of Augmented Reality technology in the pharmaceutical sector, particularly in pharmacies, has introduced significant innovations in providing drug information to consumers. AR applications can help healthcare workers and patients better understand drug use through three-dimensional visualization superimposed on the real environment. Observations at Sultan Abdul Aziz Syah Peureulak Hospital indicate that 70% of patients still experience confusion regarding the drug information provided by pharmacy staff. This difficulty is caused by the complexity of the information, lack of personal interaction, or low health literacy. To address this problem, the Android-based Mediscan application was developed using AR technology. This application utilizes Unity and Vuforia Engine software to present drug information visually in card form via the smart device screen. Users can point the camera at a particular drug and receive complete information regarding general indications, dosage, drug class, contraindications, and side effects. This research aims to develop the Mediscan application, calculate the level of patient understanding, measure consumer satisfaction, and evaluate the impact of using AR in presenting drug information. The System Development Life Cycle methodology with the Waterfall model was used in this research. The results show that AR technology can be implemented in Android-based applications to present drug information visually and interactively. The majority of patients feel more informed and gain a better understanding of the medication they are taking. AR technology in the Mediscan application improves user experience, supports the education and training of medical personnel and patients, and enhances the quality of healthcare services in hospitals. This application also makes it easier for medical personnel and pharmacists to convey drug information more effectively and efficiently.

DEVELOPMENT OF A WEB-BASED APPLICATION FOR MANAGING ASSESSMENT AND INTERVIEW ACTIVITIES AT PT. GAIA SOLUTIONS

Information systems have significantly evolved in tandem with advancements in information technology. This evolution has led PT Gaia Solution to transform from conventional business practices to digital systems, particularly for managing assessments and interviews. The transformation aims to create a web application dedicated to handling assessment and interview operations at PT Gaia Solution. This study adopts the Software Development Life Cycle (SDLC) methodology using the waterfall model, which consists of the stages of requirements analysis, system design, implementation, testing, and evaluation. Application evaluation shows satisfactory results, with blackbox testing achieving a 100% success rate and high UI/UX satisfaction among users. The application was completed on time according to the set deadline and provides speed and performance that meet expectations. The outcome is a fully functional website that effectively addresses PT Gaia Solution's requirements for managing assessments and interview activities. By overcoming the limitations of the conventional system, this transformation boosts the overall efficiency and effectiveness of the company's processes. This success demonstrates that the implementation of SDLC with a waterfall approach can produce an effective web-based application as a form of transformation from conventional to digital systems at PT Gaia Solution, particularly for assessment and interview activities. This transformation can be immediately implemented and provides significant benefits to the company, including improved operational performance, data accuracy, and flexibility.

Utilizing Game Development Life Cycle Method to Develop an Educational Game for Basic Mathematics Using Unity 2D Game Engine

The rapid advancement of technology has profoundly impacted various aspects of human life, including education. While technology offers numerous advantages, such as fostering interactive and innovative learning experiences, the shift to online learning during the Covid-19 pandemic has highlighted some challenges, including a decline in students' motivation and engagement, exacerbated by distractions like video games. However, amidst these challenges, Digital Game-Based Learning (DGBL) has emerged as a promising approach to engage students and enhance learning outcomes. This research aims to develop a basic mathematical game using the Unity game engine to enrich children's learning experiences. The educational game seeks to support educators in fostering active engagement among children, specifically in fundamental mathematics. The game is developed utilizing the Game Development Life Cycle (GDLC) methodology.

Predictive Modelling on Competitor Analysis Performance by using Generalised Linear Models and Machine Learning Approach

Competitive analysis in digital and technology is trending in the business field. However, the field of digital and technology in the business world is vast and challenging to analyse. The purpose of this research is first to identify the success factor which represent the company performance. Second, is to identify the significant services provided by the company to their business user. Then, based on the first and second objectives, a predictive modelling is developed to produce the best solution to their business user. The research is implementing a case study from Telecommunication Company and using data science life cycle methodology. The statistical modelling that is used to develop the competitor’s analysis model is generalised linear model (GLM) which integrated with machine learning approach. Furthermore, the synthetic data set is created by using Gamma Distribution, Gaussian Distribution and Poisson Distribution due to some data from the case study is confidential. The synthetic data set is based on existing real data which are from Telecommunication Company sentiment analysis data, were used to investigate the performance of the proposed model. The machine learning technique is used to get the accuracy of the significant GLM which has been developed. The accuracy is tested by using the error rates of the machine learning technique which are Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and R-squared. This research discovered that the business solution to the significant service for the business user and discovered the best statistical model to be used for the business solution. The results show that the Gumbel distribution is the best fit model for the synthetic dataset where the values of RMSE is 1.0574, MAE is 0.9168 and R-squared is 0.3994, and the significant success factor that has been identified by using the GLM is advertising success factor. The model developed can be improved with another type of data set and different sizes of data. Hence, further studies and real-world data are required for better validation.

Design of Web-Based Customer Savings Data Information System at Sumber Rejeki Jaya Abadi Cooperative Klaten

Koperasi Sumber Rejeki Jaya Abadi is a business entity engaged in financial savings and loans in Klaten Regency. Customers in the cooperative are required to have savings and before applying for loans, they must conduct deposit transactions and maintain a savings account.The cooperative faces issues with manual recording of customer savings transactions, where data is recorded using physical books. This manual process leads to inconsistent data and inefficiency in managing customer savings transactions since data must be accessed one book at a time. Additionally, the use of physical books for reporting transactions means that the reporting process lacks organization. To address these challenges, the author utilizes the System Development Life Cycle (SDLC) methodology in developing the information system. The system is being built using the PHP programming language with the Laravel framework and utilizes the MySQL database. The primary objective of this research is to create an information system that can assist the administration department in managing customer savings at Koperasi Sumber Rejeki Jaya Abadi in Klaten. By implementing the new system, the cooperative aims to improve data consistency and the efficiency of customer savings transactions, eliminating the need to search through physical books, and enhancing the overall reporting process.

Covid Classification System for Covid Detection

The ongoing global pandemic, which has now become an endemic has had a significant impact on the educational sector. Despite advancements in technology, there is no real- time prevention of COVID-19 transmission especially UiTM Tapah students that must go through crowd to reach health unit and have high possibility of spreading the disease. This research aims to develop a mobile application by utilizing machine learning for UiTM Tapah students to classify their COVID-19 status. To ensure a systematic and efficient development process, the research adopted the Mobile Application Development Life Cycle (MADLC) methodology. Within the application, the core of the machine learning functionality lies in the implementation of an Artificial Neural Network (ANN). By using 5,434 samples of data that had previously been classified by previous studies that analyzed student data such as symptoms to identify potential cases of the virus. The ANN approach performed greatly with the accuracy of 98%. Feedback from 32 respondents helped identify students' difficulties during the pandemic, which results in majority of the respondents agreeing that MCO affecting them adapting to online learning, and access to healthcare facilities. Furthermore, the usability testing conducted using the System Usability Scale (SUS) provided valuable insights into the system's user-friendliness and effectiveness. The results indicated a high level of usability, with a SUS score of 88.3 from 30 UiTM Tapah students while 76.25 from UiTM Tapah lecturers. This system was usable to classify the risk of infection among students who had not yet been diagnosed, while having some room for improvements. The system's ability to identify infected individuals promptly and accurately aided in controlling the spread of the virus, thereby protecting both students and staff. Thus, the classification system by using ANN was a valuable tool for public health organizations in their efforts to combat the COVID-19 pandemic.

Implementation of the Vector Space Model Algorithm for Document Searching in Material Test Monitoring Applications (Case Study: BPJN Jayapura Lab)

The material test monitoring application built in 2021 aims to facilitate BPJN Jayapura's work in entering administrative data files to facilitate the material test monitoring process carried out from the process stage to the material test results stage. However, in using it for 2 years, the application has had problems. The application is unable to search for documents stored in the database so the search is carried out one by one. This makes it difficult for users because there are more than 30 documents. Therefore, this research will focus on creating a document search engine (search engine) using the Vector Space Model method. This algorithm will measure the level of similarity of documents to the keywords or queries entered by the user. This research implements the Vector Space Model method to make it easier to search for documents in the application. In carrying out this research, the Software Development Life Cycle methodology will be used as a method for creating the search engine using the Unified Modeling Language version 2.5.1 modeling tool and the PHP programming language. Based on the tests that have been carried out, the Vector Space Model method has been successfully implemented and is able to function as a search engine with a precision level of 0.83 and a recall of 1 for searching 40 documents as samples. Keywords: Document search; Jayapura; vector space model

Evaluation of the Carbon Footprint of Wooden Glamping Structures by Life Cycle Assessment

Despite the increasing popularity of glamping structures, empirical studies often overlook the carbon impact of wood in these constructions, creating a significant research gap. Understanding the net carbon effect of wood in glamping structures is crucial for informing sustainable building practices. This paper aims to quantitatively compare the net carbon impact of wood in glamping structures, filling a notable gap in the current research literature. The investigation undertakes a thorough evaluation employing a life cycle methodology, appraising the emissions linked with the complete glamping life span. Seven Romanian companies are examined vertically within the glamping production chain and horizontally across the supply value chain. The investigation unveils a notable discovery: the integration of wood within glamping yields considerable carbon sequestration, wherein the wood employed sequesters 36.83 metric tons of CO2 per glamping unit. This surpasses the carbon emissions entailed throughout the entirety of the glamping life cycle, ranging from 9.97 to 11.72 metric tons of carbon. Remarkably, a single wood-incorporated glamping structure has the capacity to sequester approximately 25 metric tons of carbon within a span of 50 years. In summary, the investigation underscores the capacity of responsibly sourced timber to function as a carbon reservoir, proficiently counterbalancing emissions across the entirety of the construction life cycle. The findings underscore the importance of sustainably sourced wood in achieving carbon neutrality and provide valuable insights for promoting sustainable building practices. This methodology has broad applicability beyond glamping structures, holding potential for replication and scalability across various sectors and regions, thereby contributing to global efforts towards mitigating climate change and fostering positive environmental change.

ВИКОРИСТАННЯ ПІДХОДУ ЖИТТЄВОГО ЦИКЛУ ДЛЯ АНАЛІЗУ ГАЛУЗЕВОЇ СПЕЦИФІКУ УПРАВЛІННЯ ВИРОБНИЧИМ ПІДПРИЄМСТВОМ

The article raises the issue of expanding the management toolkit for managers of manufacturing enterprises by structuring business development using the life cycle methodology. The author proposes to separate the life cycles of a product and an operational process for a manufacturing enterprise in order to analyze in more detail the industry specifics of the manufacturing enterprise management model. The authors describe the stages of the life cycle of a product and a production process separately, which allows to more accurately formulate the conditions under which the growth, development and decline of manufacturing enterprises occur. Thus, the presentation of the subject area of the study in the form of a "Process - Product" matrix allows analyzing the variability of approaches to managing the manufacturing business. The paper provides a certain algorithm for choosing an approach to management depending on the market situation and the current position of the enterprise in the competitive struggle. In other words, this tool allows structuring strategic alternatives for further steps of the business in the market. The authors also propose the stages of the life cycle of a manufacturing business, including a description of each stage according to the main characteristics of the management model. The paper provides a basic scenario of the enterprise's movement through the life cycle, taking into account the risks and financial efficiency of the business. Thus, this approach forms a roadmap for business development from a startup to a full-fledged business. The most probable risks for management in making management decisions in the transition between stages are analyzed, the nature of their occurrence and the criteria for their manifestation are identified. Summarizing, it can be concluded that the proposed tools allow expanding the possibilities for the management of the enterprise to make timely and appropriate management decisions.

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Family small and medium enterprises (FSMEs) differ from non-family SMEs regarding leadership type, human resource management practices, innovation orientation, change management, information and communication technology deployment, process maturity, and resource availability. These differences present challenges when leading any change. Process mining (PM) tools can optimize process value and eliminate non-added-value activities in FSMEs based on “Event Logs”. The present study investigates how a PM project is implemented in an FSME operating in the agri-food sector, focusing on challenges faced in every project phase to extract the most appropriate process that eliminates all sources of waste and bottleneck cases. Drawing upon the L*Lifecycle methodology combined with quality and lean management tools such as the fishbone diagram, Pareto diagram, and overall equipment efficiency (OEE), this study applied a PM project to a manufacturing process for an FSME operating in the agri-food sector. To achieve theoretical production capacity (TPC) and customer satisfaction, the method was analyzed and optimized using Disco and ProM toolkits. The results analysis using Disco and ProM toolkits gave clues about the organizational and technical causes behind the manufacturing process’s inefficiency. First, OEE showed that the studied FSME is struggling with equipment availability. Then, the implementation of the L*Lifecycle methodology allowed for the identification of five critical causes. An action plan to eliminate causes was proposed to the FSME managers.

APPLICATION OF AUGMENTED REALITY IN MOBILE BASED HIJAIYAH LETTER RECOGNITION APPLICATIONS USING MULTIMEDIA DEVELOPMENT METHODS LIFE CYCLE

Islamic religious education is an important aspect of Muslim life, and learning Arabic and Hijaiyah letters is an integral part of Islamic education. The use of augmented reality (AR) technology in educational setting is rapidly increasing. This study aims to apply the AR concepts to the creation of mobile Hijaiyah letters using Multimedia Development Life Cycle (MDLC) methodology. The application of AR in this application allows users to interactively learn each hijaiyah letter. Through a mobile device camera, users can see hijaiyah letters that appear virtually on the device screen. The development of this application is based on the needs of users in understanding hijaiyah letters in a more attractive and interactive way. Thus, this application is expected to facilitate users, especially children, to learn hijaiyah letters more effectively.

Implementation of Security Information & Event Management (SIEM) Wazuh with Active Response and Telegram Notification for Mitigating Brute Force Attacks on The GT-I2TI USAKTI Information System

In an era of widespread information system usage across various sectors, digital threats to organizations have become increasingly significant. These threats have the potential to disrupt operations and result in substantial financial losses. One enduring threat is brute force attacks, which exploit human tendencies to use easily remembered passwords. By utilizing The Security Lifecycle Methodology, this research aims to identify an efficient and cost-effective solution to enhance information system security and continuously evaluate the implemented solution rather than stop right after the policy or solution implementation. The study proposes the utilization of the open-source Security Information and Event Management (SIEM) platform, Wazuh. When combined with the Active Response feature, this platform not only detects security threats but also automatically takes mitigating actions against detected attacks. Additionally, the integration with the Telegram messaging application streamlines the SIEM monitoring process, making it more practical and efficient. After implementation, the testing phase confirms the effectiveness of the implemented solution as the Wazuh SIEM is able to detect 100% of brute force testing scenarios in multi- protocol attacks with an average of 80,51 seconds time required to detect brute force attacks with a 1-second interval between attack, 172,18 seconds for 10-seconds attack interval, and 434,58 seconds for 30-seconds attack interval. The active response can mitigate 100% of the detected brute force attack with only 0,51 seconds time required between detection and mitigation action taken. The implemented telegram integration successfully sends all the notifications on time to Telegram Chat by utilizing Telegram API.

A quantitative methodology for measuring the social sustainability of pavement deterioration

The social pillar of pavement sustainability is understudied compared to economic and environmental pillars, making it difficult to integrate into life-cycle methodologies. While methods such as social life cycle assessment (S-LCA) exist, they usually focus on social governance rather than quantifying the impact of pavement investment decisions on communities. This study introduces a methodology to quantify the impact of road condition on vulnerable communities, specifically Environmental Justice (EJ) communities. The methodology calculates the impact of road condition on residents and analyzes fuel consumption (as an example impact) for road users during recurrent home-work trips as a function of pavement condition for EJ and non-EJ communities. It was found that EJ communities in Massachusetts are twice as likely to live near poor condition roads and consume twice as much excessive fuel during recurrent home-work trips. The proposed method is designed to integrate into existing life-cycle methods and represents a significant step towards integrating equity into pavement management decisions.