International Journal of Civil & Environmental Engineering IJCEE-IJENS Vol: 21 No: 01 12

Risk Management Maturity in a Construction Service Company on the Performance of Time and Quality of Road Construction (Case Study: Road Preservation Sp. Dodinga - - Akelamo - Payahe - Weda, Province) Abdul Hamid Payapo Postgraduate Students of Master of Civil Engineering Study Program, Engineering and Construction Project Management, Faculty of Engineering, University of Persada

Abstract-- Road Preservation Project on the Sp. Dodinga because companies cannot operate without taking risks - Sofifi - Akelmo - Payahe - Weda is a project that has a (Fadun, 2013). Risk management in a construction level of complexity that is quite complicated because all company must cover not only project risks, but also the of the work consisting of Engineering, Procurement, and risks faced as a business company (Schaufelberger, 2009). Construction is fully borne by the contractor or In general, project implementation is faced with three construction service company that works on it. The main obstacles, namely, cost, time, and quality. These number of work items contained in a road preservation three constraints can be interpreted as project objectives, project causes risk factors or uncertainties. which are defined as being on cost, on time, and on From the results of factor extraction by interpreting the quality. Project success is always related to the extent to loading factor of each variable item, namely latent which these three goals can be met. Therefore, due to the Financial Variables (X1) 76.726%, Human Resources dynamic characteristics of the project, it is necessary to (X2) 77.310%, Materials (X3) 89.253%, Equipment (X4) have good project management so that these three targets 94,889, Work Implementation Methods (X5 ) 86.823%, can be met. For this reason, a management strategy called Change in Design (X6) 71.435%, Work Environment project management is needed. Project management is the (X7) 96.192%. process of project management, namely through The risks that have the most effect are according to the managing, allocating, and scheduling resources in the ranking order of each variable during the construction project to achieve these goals. work of the Road Preservation Project, Sp. Dodinga - North Maluku Province is an area with a growing regional Sofifi - Akelamo - Payahe - Weda, North Maluku development, especially in the transportation Province, are among others; Work Environment, namely infrastructure sector. For this reason, the participation of the condition around the road (right and left) which is service providers (contractors) is needed to support overgrown with wild plants, so that it looks like the road development in this area, in terms of the success of project is not well maintained; Equipment, inadequate operator activities by paying attention to costs, time and quality of personnel in operating heavy equipment during work; work. However, the fact is that there are still project Material, material scarcity (non-local) often occurs delays that occur in North Maluku Province. One of the because it has to be imported from outside the region; causes is the lack of good risk management. Method of Execution of Work, Implementation of work is From the description of the above problems, the aim of not in accordance with predetermined specifications; this research is to identify the criteria for the maturity of Human resources, human resources who work can not the construction service company risk management which coordinate well and do not produce good road projects; will be used as statement material for respondents to Finance, Contractor's inadequate financial capacity and measure the maturity level of the service provider use of contract advances that are not used for the benefit companies located in North Maluku Province. of project implementation; Design Changes, Design Operationally these objectives are described as follows: Changes Often the owner design changes due to the use or (1) knowing the intensity of the frequency of external function that changes from the initial planning when the risks occurring in the implementation of road projects in work is being carried out. North Maluku Province, and (2) Knowing the influence of external risks on the quality of work and the completion INTRODUCTION time of road projects in North Maluku Province. The construction business is one of the most risky businesses and usually involves complex and diverse risks RESEARCH METHODS (Zhao et al., 2013). Risk is an important part of business

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This research is a case study with a qualitative approach. high enough level of relationship (dependency). The The research results obtained are risks that require a indication of the level of this relationship is determined by response to be followed up in the construction of the next the values of KMO (Keizer Meyer Olkin) and MSA Island ring road. (Measures Sampling Adequacy) in Applied Multivariate Data was collected by conducting site surveys, collecting Techniques, Sharma, S. (1996). The application used is supporting data and conducting interviews / discussions SPSS 19.0 with the relevant work units (Satker) and implementing parties (contractors). The data needed is in the form of any RESULTS AND DISCUSSION events that have occurred in the Halmahera Island ring From the results of factor extraction followed by road construction project. interpreting the loading factor of each item above, it can The main data required are: data on the respondent's be seen that the latent variables are Financial Variables opinion regarding the effect of risk in road construction (X1), Human Resources (X2), Materials (X3), Equipment work. Data on the respondent's opinion regarding the risk (X4), Work Implementation Methods (X5), Change probability based on the impact on road construction Design (X6), Work Environment (X7) can be formed by work. grouping the manifest variables, which are summarized in Factor analysis is used for variable analysis, namely the the table as follows: set of variables is feasible to use factor analysis if it has a

Table I Factor Analysis Results for Financial Latent Variables (X1) Significance Manifest Value of Loding KMO MSA Statistics Variables Communality Factor Bartlett’s X1.1 0,767 0,876 0,500 X1.2 0,767 0,876 0,500 Eigenvalues 1,535 0,500 0,000 Total Diversity 76,726 Cumulative Total Diversity 76,726 Source: Processed SPSS Results, 2021

Table II Factor Analysis Results for HR Latent Variables (X2) Significance Manifest Value of Loding KMO MSA Statistics Variables Communality Factor Bartlett’s X2.1 0,822 0,907 0,658 X2.2 0,825 0,908 0,656 X2.3 0,672 0,820 0,840 0,698 0,004 Eigenvalues 2,319 Total Diversity 77,310 Cumulative Total Diversity 77,310 Source: Processed SPSS Results, 2021

Table III Factor Analysis Results for Latent Material Variables (X3) Significance Manifest Value of Loding KMO MSA Statistics Variables Communality Factor Bartlett’s X3.1 0,893 0,945 0,500 X3.2 0,893 0,945 0,500 Eigenvalues 1,785 0,500 0,003 Total Diversity 89,253 Cumulative Total Diversity 89,253 Source: Processed SPSS Results, 2021

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Table IV Factor Analysis Results for Equipment Latent Variables (X4) Significance Manifest Value of Loding KMO MSA Statistics Variables Communality Factor Bartlett’s X4.1 0,949 0,974 0,500 Eigenvalues 1,898 0,500 0,000 Total Diversity 94,889 Cumulative Total Diversity 94,889 Source: Processed SPSS Results, 2021

Table V Factor Analysis Results for Latent Variables of Job Implementation Methods (X5) Significance Manifest Value of Loding KMO MSA Statistics Variables Communality Factor Bartlett’s X5.1 0,868 0,932 0,500 X5.2 0,868 0,932 0,500 Eigenvalues 1,736 0,500 0,006 Total Diversity 86,823 Cumulative Total Diversity 86,823 Source: Processed SPSS Results, 2021

Table VI Factor Analysis Results for Design Change Latent Variables (X6) Significance Manifest Value of Loding KMO MSA Statistics Variables Communality Factor Bartlett’s X6.1 0,845 0,919 0,575 X6.2 0,528 0,727 0,779 X6.3 0,770 0,877 0,596 0,617 0,011 Eigenvalues 2,143 Total Diversity 71,435 Cumulative Total Diversity 71,435 Source: Processed SPSS Results, 2021

Table VII Factor Analysis Results for Work Environment Variables (X7) Significance Manifest Value of Loding KMO MSA Statistics Variables Communality Factor Bartlett’s X7.1 0,962 0,981 0,500 Eigenvalues 1,924 0,500 0,000 Total Diversity 96,192 Cumulative Total Diversity 96,192 Source: Processed SPSS Results, 2021

CONCLUSION 3. Material, material scarcity (non-local) often The risk factors that greatly affect the time performance occurs because it has to be imported from outside and construction quality on the Road Preservation Project, the area Sp. Dodinga - Sofifi - Akelamo - Payahe - Weda, namely: 4. Work implementation methods, the 1. Working environment, namely the conditions implementation of work is not in accordance around the road (right and left) which are with predetermined specifications overgrown with wild plants, so that it looks like 5. Human resources, human resources who work the road is not well maintained can not coordinate well and do not produce good 2. Equipment, inadequate operator personnel in road projects operating heavy equipment during work 6. Finance, contractor's inadequate financial capacity and use of contract advances that are not used for the benefit of project implementation

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7. Design changes, design changes Often the owner changes the design.

REFERENCES [1] Law of the Republic of Indonesia Number 38 of 2004, concerning Roads [2] Regulation of the Minister of Public Works No: 13 / PRT / M / 2011 concerning Procedures for Road Maintenance and Surveillance [3] Circular of the Director General of Highways of the Ministry of PUPERA, Number: 16 / SE / Db / 2017, of 2017 concerning Labor Intensive in Road Preservation work with Long Segment Schemes [4] Risk Management Analysis on Toll Road Construction Projects (Case Study of the Ngawi-Kertosono Toll Road Development Project, Package 3). (Nurcahyobudi Santoso Thesis, 2017) [5] Identification and Analysis of Risk Management in Multi- storey Building Infrastructure Development Projects (Journal, Nurlela, 2014) [6] Geraldine, Laudine Henriette et all. 2007. "Risk Management and Mitigation Actions to Create a Robust Supply Chain". (Journal, Technology and Civil Engineering, Vol 1. No 53) [7] Mastura, Labambang. 2011. "Risk Management in Construction Projects", (Journal of SMARTek, Vol. 9 No 1. P. 39-46) [8] Guidelines for Data Analysis with SPSS, Graha Ilmu, Yogyakarta, (Uyanto, Stanislaus. 2006) [9] Mastering Statistics in the Information Age with SPSS 12, Elex Media Komputindo, Jakarta, (Santoso, Singgih. 2005) [10] The influence of the quality of risk identification on the time performance of toll road construction / improvement in Indonesia. (Thesis, Postgraduate Program, Department of Civil Engineering, University of Indonesia (UI) Depok, Sriyantono, Henky Eko. 2003) [11] Sugiono, 2010, Quantitative Research Educational Methods, Qualitative and R & D. Bandung: Alfabeta. [12] Flanagan, R & Norman, G. 1993, Risk Management and Construction. Blackwell Science, London. [13] Kerzner, H. 2001. Project Management. Seventh Edition. John Wiley & Sons, Inc. New York.

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