Analysis of The Construction Management Application to Project Success Using Importance Performance Analysis on Super<lat Concrete Floor Work

. In pursuit of Indonesia's equitable and sustainable development, the surge in industrial city development, notably in Karawang, has led to the construction of various facilities such as factories, warehouses, and workshops. EfMicient planning methods, encompassing cost, time, and quality considerations, are imperative for these projects. A critical aspect is the construction of concrete Mloors, vital for supporting diverse loads like heavy vehicles, static loads from goods, storage racks, and large machines. The ongoing development of the SuperMlat Concrete Floor Method, with its productivity and precision advantages, underscores the need for effective construction management. This study aims to evaluate the substantial impact of construction management on project success and to map application indicators on the IPA diagram – Importance Performance Analysis. Employing both quantitative and qualitative methods, the research distributed questionnaires with Likert scales to 30 respondents, including contractors, owners, and design planners. Smartpls 3.0 software analysis reveals that Knowledge Management signiMicantly and positively inMluences the success of the superMlat concrete Mloor project at the Karawang Industrial Factory site. The IPA mapping places Knowledge Management and Total Quality Management in Quadrant I (Keep Up the Good Work), emphasizing their pivotal roles in ensuring project success. This study provides essential insights for stakeholders involved in industrial development, guiding them toward more effective construction management strategies for optimized outcomes.


INTRODUCTION
In carrying out Concrete Floor Work usually uses conventional methods with the implementation of manual casting of complete human labor, but this method has some shortcomings, especially the problem of top elevation of the Bloor surface which has a deviation between 10mm -20 mm and is relatively not too Blat and manpower productivity which has limits.To optimize the work of Concrete Floor Construction, there are currently technological developments from various methods, one of which is the superBlat Bloor method (Fukase et al., 2020a;Liao et al., 2023).
To optimize the above, there are currently technological developments from various methods, one of which is the superBlat Bloor method (Party, 2016).This method has advantages such as high productivity and tidiness of top elevation of concrete Bloor surfaces with a maximum division/difference of 1/8" mm per distance of 10 ft.
There are several differences in methods and treatments in the implementation of conventional methods and Blat Bloor methods, especially when the concrete begins to harden if the conventional method of Binishing the Bloor surface uses manual tools that are entirely done by manpower, while in the superBlat Bloor method (Fukase et al., 2020b).Using a Screen Saver & Trowel to Binish the concrete surface, of course, with the help of these tools the concrete surface will be Blatter so the deviation will be lower.
Construction management implementation includes administrative aspects, total quality management aspects, technology management, knowledge management aspects, and in the early stages of the project until the end of the project (Babalola et al., 2023;Cui et al., 2024;Raza et al., 2023).The achievement of success in construction work comes from the contribution made by the application of construction management needs to be known and examined carefully so that the construction work of a project can be carried out effectively and efBiciently (K.Liu et al., 2024;Okonkwo et al., 2023;Purwanto, 2021).
In a general sense, Construction Management is an effort carried out through the management process, namely planning, implementing, and controlling project activities from beginning to end by allocating resources effectively and efBiciently to achieve a satisfactory result according to the desired target (Aziz et al., 2022;Ismaeel & Kassim, 2023;Q. Liu et al., 2022;Mir et al., 2022).The Bield of Management will continue to change along with environmental changes which are diminishing resources (Tampubolon, 2020).Currently, the development of the management Bield, one of which is the Bield of project management has developed into a discipline that has increased research literature (Putra, 2021).In line with that, working on a project requires proper project management even though the nature of the project is a temporary business that has limited time, budget, and resources, and has its speciBications for the goals and products produced (Aziz et al., 2022;Shah & Chandragade, 2023).
The importance of construction management implementation in supporting project success (Simanjuntak & Anggraeni, 2019).This study focuses on the optimization of Concrete Floor Construction through the implementation of the superBlat Bloor method, addressing shortcomings in conventional manual casting methods.The superBlat Bloor method, utilizing tools like Screed Saver & Trowel, demonstrates advantages such as high productivity and precision in achieving top elevation, minimizing deviations to a maximum of 1/8" per 10 ft distance.The research recognizes the evolution of construction management as crucial in achieving project success.Emphasizing aspects like administrative efBiciency, total quality management, technology, and knowledge management, the study aims to explore the impact of Construction Management Implementation on the success of the SuperBlat Floor Concrete Construction Project in the Karawang Factory Area.In a broader context, the research contributes to understanding the evolving Bield of project management, emphasizing the importance of effective management processes in temporary projects with limited time, budget, and resources.

Information Technology Support
Availability of technology to support the process of delivering information in the project.

Knowledge Application
There is a process of implementation of science carried out by project personnel.

MP 4
Developing Knowledge There is a process in developing science when the construction process takes place.

MP 5
Organizational Culture It is an organizational culture that supports the knowledge management process in the project.

Project Succes K 1 On Time Delivery
The ability of the project team to deliver/applied products in a timely manner.

K 2 Minimum Waste
The presence of residual material produced / Minimum residual material.

K 3 Product Standardization
Produce construction products that have quality in accordance with predetermined standards.

K4 According to The Initial Design
Construction Implementation in accordance with the initial design of the plan.

K5
According to Stakeholders' Expectations in accordance with stakeholder expectations.

K6 Zero Accident
Able to carry out Construction Work without fatal incidents.
(Sources of researchers, 2024) In this study, to measure variables, the Likert Scale is used, which is a method of measuring attitudes or counter-responses by stating the level of good and the level of not good towards certain subjects and objects, as follows Table 2.

Descriptive Analysis
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In this study, the primary data collection process was carried out by distributing questionnaires to the project team on SuperBlat Concrete Floor Work in the Karawang Factory area -West Java.The questionnaire contains 27 questions according to research variables and indicators regarding the Implementation of Construction Management to Project Success.From the distribution of the questionnaire, as many as 30 response data were obtained that had been Billed in completely.The distribution of this questionnaire is carried out by 2 (two) methods, namely the Birst method ofBline or meeting in person and then Billing in the hardcopy of the research questionnaire and the second method online or through the Google media application as a tool.In Table 3. Explained about the recapitulation of questionnaire Billing from respondents as follows:

Validity & Reliability Test
The Birst step in the process of processing research data before with the help of PLS-SEM is to test the validity and reliability of the questionnaire given to respondents after validation by experts.A validity test is an indicator used to determine whether the questionnaire used is valid on the research indicator.In this case, as with the research of its predecessors, a signiBicance value (α) of 5% was used with 30 respondents, then it is known that the value of r table = 0.3494.The results of the questionnaire can be seen in Table 4. Reliability test is used using the Alpha-Cronbach formula where the reliability is declared satisfactory if the value obtained exceeds 0.6.In Table 7.The results of the Reliability Test state that as follows: Table 5.

N of Cases 30
Alpha -Cronbach 0.9622

PLS-SEM/ SmartPls Analysis
In line with what has been explained earlier, in this study a data processing process was carried out using PLS-SEM analysis with Smart PLS 3.0 software.The steps carried out in PLS-SEM analysis include Conceptual model, path diagram construction, path diagram conversion, and model evaluation.

Evaluation of Measurement Models and Structural Models (Outer Model and Inner Model) Validity Test
The validity test in Smart PLS modeling can be seen in the Discriminant Validity on the AVE (Average Variance Entrance) value and Loading Factor in each latent variable.The indicator is valid if it has a loading factor value of ≥ 0.7, if the indicator has a value of <0.7 it will be dropped or issued (Irwan & Adam, 2015).In Figure 2. The loading factor values on the outer model are displayed between the indicator and its variables.(Muhson, 2022) the guidelines state that the relative construct AVE value must be greater than 0.5 by proving the validity & and estimation of the reliability of indicators and constructs.The AVE values in this modeling are shown in Table 6.

R -Square Test
The R-Square test aims to measure how well the PLS-SEM model explains the variation of endogenous latent variables (variables inBluenced by other latent variables) in the model.In the context of PLS-SEM, R-Square can be calculated for any endogenous latent variable (Marliana, 2019).The R-Square value ranges between 0 and 1, and the higher the value, the better the model can explain the variation of that latent variable (Putra, 2021).The R-Square in this research modeling is contained in Table 8.Based on Table 9. Regarding the Path coefBicient, it was found that the path coefBicient value of the latent variable is positive, which means that all latent variables related to the implementation of construction management on the successful project have a positive impact.

Signi9icance Evaluation Test
In this study by the formulation and purpose of the problem, to determine the magnitude of the inBluence of construction management implementation on project success, statistical testing was carried out, where latent variables were declared to have a signiBicant effect if T statistics ≥ T table.Therefore, this model sets a signiBicance (α) of 5% with a total of 30 samples.Then obtained a Ttable Value of 1.960.
The following statistical values are obtained from the SmartPLS 3.0 Modeling process in Table 10.and  Source: (Processing Results, 2024) Following Table 10.Regarding modeling Statistics, it is stated that Knowledge Management has P Values < 5% which means that the latent variable has a signiBicant positive effect on project success.while the Technology Management, Administration, and Quality Management have P Values > 5% which means that these variables do not have a signiBicant positive effect.Shown in Figure 4.

Analysis of the Application of Construction Management to Project Success
In this study, to Bind out which indicators have an Applications Performance Value on Project Success, an Importance Performance Analysis Test was conducted.The results are shown in Table 11.Source: (Processing Results SmartPls 3.0, 2024) In connection with Table 10, then the 17 indicators above are mapped into 4 quadrants based on the value of performance applications with the importance value of project success.As on the table above, the next mapping is carried out on the Importance Performance Analysis diagram in the following Figure 5. Based on the results of PLS-SEM and IPA analysis that have been displayed, a mapping of the implementation of construction management indicators on the success of the superBlat concrete Bloor project was obtained in a case study (SuperBlat Concrete Floor Project in the Karawang Factory Area) as in the following explanation in Table 11.

CONCLUSIONS
The research, conducted through PLS-SEM/SmartPLS analysis, establishes a signiBicant positive impact of Knowledge Management variables, speciBically Knowledge Application and Organizational Culture, on the success of SuperBlat Concrete Floor Projects in the Karawang Factory Area.The identiBied positioning of these variables in Quadrant I underscores their pivotal role in project success.The research objectives focused on evaluating this impact, revealing the importance of incorporating effective Knowledge Management practices.The IPA Mapping -Importance Performance Analysis highlights the need to maintain high levels of Construction Management Implementation Performance (Quadrant I) and directs attention to Construction Technology Management and Administration Variables (Quadrant IV).The implications stress the importance of emphasizing Knowledge Application and fostering a conducive Organizational Culture for project success.Recommendations include further research on the nuanced interactions between Quality Management and Knowledge Management, as well as a deeper investigation into variables like Price Quotation and Procurement Method.Overall, these Bindings provide valuable insights for practitioners and researchers, guiding the reBinement of construction management practices in the context of SuperBlat Concrete Floor Projects.

Figure 1. Research Flow Chart International Journal of Social Service and Research https
://ijssr.ridwaninstitute.co.id/The measuring instruments or indicators in this study are used to determine the Variables in the Implementation of Construction Management in SuperBlat Concrete Floor Projects (Case Study: SuperBlat Floor Project Factory Area -Karawang).The measuring instruments in this study have been validated by experts in Table 1.

Table 1. Research Variables No Variable's Operational De?inition
QM 5Komunikasi dan Koordinasi The ability of the project team in communication & coordination in every construction work process.QM 6Project Quality Plan / Perencanaan Kualitas ProyekThe ability of the project team to prepare work quality planning according to predetermined standards.

Table 6 . AVE Values
(Muhson, 2022)s considered realistic if it has a Cronbach's Alpha Value of > 0.6 and a Composite Reliability Value of 0.7(Muhson, 2022).To see these values are shown in Table7.

Table 7 . Reliability Values
Based on Table7, each latent variable has a value of Cronbach's Alpha > 0.6 and Composite Reliability > 0.7.This means that all indicators have a good and reliable realistic value.
Structural Model Evaluation (Inner Model)