ANALYSIS OF COST CONTROL, TIME, AND QUALITY ON CONSTRUCTION PROJECT

This research aims to analyze the relationship of delay time and costs with estimated that causes increased costs from perspective of management fees project with earned value method and to analyze the influence of the variables associated with the quality control at each stage of the work concreting. Secondary data collection i.e. the draft budget, the curve S, financing and weekly reports the progress of the project. Primary data i.e. questionnaires to 30 respondents. The cost control and time used earned value methods, and quality control with multiple linear regression. The results of the research project performance until the 27th week of aspects of cost and time projects implementation are not experiencing excess costs, but suffered delays. Regression analysis a very influential determinant variables of each job of making concrete to install formwork: concrete level marking and dimensions for formwork, ironing: the connection reinforcement iron and iron a clean free from rust, oil, and dry concrete, for concreting: checking of slump test and the amount of labor, and to uninstall the formwork: concrete age and concrete level according to plan.

p-1412-3789 www.journalmabis.org e-2477-1783 21 accordance with the approved fee as well as a good performance is very hard to do (Dimyati and Nurjaman 2016).
Curve S is a picture of the relationship between the implementation time of the project with the value of the accumulation process of the implementation of the project started from the beginning until the project is completed. Generally the project using the curve S in the planning and control of the project implementation schedule. Progress curve graphically can provide various size of progress on an upright axis is associated with the units of time horizontally. The cumulative percentage made forming the curve of cumulative percentage of S, the realization is a tangible results in field. The results of the realization of the work at any one time can be compared to the plan, if the results of the realization is above the curve S, then it happens achievement but if it is under the curve S need to evaluate thoroughly or need for rescheduling (Efendi and Sumarsiddin 2015).
The cost of the project or budget plan costs a building or project is the calculation of the number of cost necessary for materials and wages, as well as other costs related to the execution of building or project. Budget cost is the price of building materials are counted carefully, meticulously, and qualified. Cost budget in the same building will vary in each region, due to the difference in price of materials and labor wages. Project cost control needed so that projects can be carried out in accordance with the planned initial cost (Daulasi et al. 2016). Cost control is the control of project cost in order not to exceed the budget. The preparation of the budget the cost of the project is meant to monitor and analyze whether the total cost of the plan in accordance with the costs of their implementation. In this way can we know when the project implementation in this case the contractor makes a profit or loss (Pinontoan et al. 2015). Cost control include processes that are necessary to ensure that the project is completed with the funds that have been agreed upon. Cost control is not only a monitoring costs and recording the amount of data, but also data analysis so that the Act of correction can be done before it's too late. Cost control is performed by all personnel, both in the organizational structure of project management the project owner and the main contractor. Notwithstanding the foregoing, the owner of project management should be responsible for the cost control of the project, including the management of funding, approval, and payment of bills from the main contractor as well as the control of funds/budget (Dimyati and Nurjaman 2016). Cost control of projects is distinguished into two types, namely the Direct Cost and Indirect Cost.
Step control techniques are set a target or standard time for a work to be completed with certain controls. If a part of the complete work targeted have been implemented, as compared with the actual achievement of the target. After that, give appraisal, do evaluations and set the influence of accomplishment now against future earnings prospects. If necessary, plan reworked the original so the target could be achieved or can be approached (Efendi and Sumarsiddin 2015:35). Cost control is the final step of the process management of project costs i.e. cost of expenditure in order to initiate the appropriate project planning, in the form of a predetermined budget. Thus, aspects and cost control object will be identical to the planning costs, so that various types of activities at Headquarters and the field should always be monitored and controlled so that its implementation in accordance with the predetermined budget (Rantung et al. 2014).
Budget cost is the price of a building calculated with the detailed, meticulous, and qualified. Cost budget in the same building will vary in every area because of the difference in price of building materials and labor wages (Dimyati and Nurjaman 2016). Thus, cost control is the process of monitoring of project costs through budget plan costs (RAB) as measured through the calculation of volume, unit price analysis, and determination of fees. Quality control, a part of quality management focused on the fulfillment of requirements such as monitoring, reduce problems, and irregularities identified (one by Rivelino, 2016:5). Quality Control is monitoring specific project results to determine whether they comply with relevant quality standards and identify ways to eliminate causes of unsatisfactory performance  (Ashokkumar 2014). Quality control and engineering activity is an activity monitor, evaluate and follow up the order for the requirements that have been set are achieved (Santosa, 2013), (Dimyati and Nurjaman 2016). Quality control is a technique and a planned actions/activities that done to achieve, maintain, and improve the quality of a product and services to fit the predetermined standards and can satisfy the consumer satisfaction (Rustendi 2012). Meet the quality is the target management project, with construction products quality meet the requirements that are generated will meet the quality standard expected to function satisfactorily in a certain time or ready-made (Hadiono 2010).
Technical specification contains a description of the rules to be used, the scope of the work, material requirements, terms of execution of the work, equipment requirements, and other special requirements of the job-the job specified. Technical specification has a higher hierarchy levels compared to the picture because when seen from a chronological authors, technical specifications were made to explain, affirm, and specified things that have not been listed in the images (Dimyati and Nurjaman 2016). Technical specifications are measured through the scope of the work, material requirements, terms of execution of the work, equipment requirements, and other special requirements of the jobs. Reporting is an activity that has been carried out which includes the type of work performed, the quantity or volume of work, as well as things that are non-technical, such as the State of the weather at the time of execution of the work. (Dimyati and Nurjaman 2016).

Research Method
The population of cost control and time is three (3) project area Intermodal BSD City, namely Intermodal Terminal, Modern market 2, and Intermodal station of BSD City. Sample cost control and time using a purposive sampling (engineering data retrieval with specific consideration) i.e. Intermodal Terminal of BSD City. Population quality control are the parties directly involved in the implementation of the project (project owners, contractors, and consultants). Quality control samples using probability sampling by means of simple random sampling, namely members of the population sampling was done randomly without regard to strata (level) in the population of members, namely with the sample 30 the respondent. Quality control questionnaire developed from the technical specifications and SOP (standard Operational Procedure).
Data for analyzing cost control and time; budget plan, Time schedule/curve S, weekly reports the progress of the project, financing the project weekly reports.
Analysis of cost control and time use earned value method by calculating; a) ACWP (Actual Cost of Work Performed), b) BCWP (Budgeted Cost of Work Performed), c) BCWS (Budgeted Cost of Work Schedule), d) BAC (Budget At Completion). Quality control analysis using regression analysis.

Result and Discussion
The concept of earned value analysis in project implementation performance data using the .

Figure 2. Curve S Earned Value
Curve S earned value on the 1 st week until the 23 rd week BCWP > BCWS shows under run schedule and ACWP < BCWP under run cost. On the 24 th week until 27 th week value BCWP < BCWS over run schedule and ACWP < BCWP under run cost. Cost Variance (CV) is the difference between the values obtained after completion of the pekerjaaan with the actual costs that occur during the execution of the project. On the negative value CV number value which indicates that the fees are higher than budget (over run cost), the value of zero indicates the work done on cost, and a positive value means work gets done and costs less than budget (under run cost). Analysis Cost variance (CV) 27 th week: Schedule Variance (SV) is the calculation of the deviation between the BCWP with BCWS. On the numerical values for the SV value is positive indicates that the project work the concluded more than a plan, the value of zero indicates the work done right on schedule, and a negative value indicates a bad job performance because of work the completed fewer than the planned schedule.

Figure 3. Graph identification of variant of SV and CV
In Figure 3 graph identification of variant of SV and CV the week 27th retrieved results SV = -57.064.029 and the value of CV = + 232.927.898. This means that the progress of the work carried out for longer than that in the schedule of the plan. While the cost cost less than the cost of previous plans.
Cost Performed Index (CPI) a factor cost efficiencies that have already been issued can be demonstrated by comparing the value of the work, has been completed (BCWP) with actual costs that have been incurred in the same period (ACWP    The equation is stated as follows. First, constants of 4.052 stated that if no variables BKBP8 and BKK3, then the quality level of formwork was 4.052. Second, the regression coefficient BKBP8 of 1.757 stated that any increase (because the mark (+)) 1 unit of BKBP8 will increase the quality level of formwork of 1.757. Third, the regression coefficient BKK3 of 0.476 stated that any increase (due to the (+) sign) 1 unit of BKK3 will increase the quality level of formwork of 0.476.
Multiple Regression Analysis of Ironing. Y_BS = -0,499 + (-0,214) BSBP3 + (-0,300) BSK7 Note: Y_BS = ironing BSBP3 = Connection/overlay/cuttings iron reinforcement BSK7 = Iron is clean, free from rust, oil, and dry concrete The equation is stated as follows. First, constants of-0.499 stated that if no variables BSBP3 and BSK7, then ironing quality evel-0.499. Second, the regression coefficient of 0.214-BSBP3 States that every decline (sign (-)) 1 unit of BSBP3 will lower the quality level of ironing-0.214. Third, the regression coefficient of BSK7-0.300 stated that any decrease (because the sign (-)) 1 unit of BSK7 will lower the quality level of ironing-0.300. = the number of labor The equation is stated as follows. First, constants of 8.387 stated that if no variables CRBP7 and CRK2, then the quality level concreting 8.387. Second, the regression coefficient CRBP7 of 0.337 stated that any increase (due to the (+) sign) 1 unit of CRBP7 will increase the level of quality of concreting 0.337. Third, the regression coefficient CRK2 of 1.871 stated that any increase (due to the (+) sign) 1 unit of CRK2 will increase the level of quality of concreting 1.871.
Multiple Regression Analysis of Uninstall the Formwork. Y_BKK = 0,893 + 1,149 BBKBP3 + 0,954 BBKK4 Note: Y_BBK = uninstall the formwork BBKBP3 = concrete age BBKK4 = concrete level according to plan The equation is stated as follows. First, constants of 0.893 stated that if no variables BBKBP3 and BBKK4, then the quality level the work of uninstall the formwork is 0.893. Second, the regression coefficient BBKBP3 of 1.149 stated that any increase (due to the (+) sign) 1 unit of BBKBP3 will increase the level of quality of work of uninstall formwork of 1.149. Third, the regression coefficient BBKK4 of 0.954 stated that any increase (due to the (+) sign) 1 unit of BBKK4 will increase the level of quality of work of uninstall formwork of 0.954.

Install the formwork
Simultaneous influence test (test F) install the formwork using ANOVA test (Analysis of Variance) or F-statistics, obtained an F count of 28.671 there are significant effects simultaneously of the variables BKBP8 and BKK3 against the quality level of formwork.
Partial influence test (t-test) formwork using regression model produced t-test of 0.039 and 0.024 for BKBP8 to BKK3, so it can be inferred that the variables BKBP8 and BKK3 effect significantly to quality of formwork. t -count for model regression of 2.954 to BKBP8 and BKK3 to 2.395, where α = 0.05, (n-1) = 30-1 t = 29) R Square install the formwork 0.680 explains that the contribution of a given variable work install formwork against quality level of 68.00% while the rest of 32.00% are influenced by factors others are not examined.
The Durbin-Watson values count are on the interval between du < 4-DW < du, or 1.567 < 1.947 < 2.433. According the above decision-making basis, then Ho accepted or there is no correlation, so the regression model to predict the quality level of formwork.

Ironing
Simultaneous influence test (test F) install the formwork using ANOVA test (Analysis of Variance) or F-statistics, obtained an F count of 17,142 there are significant effects simultaneously of the variables BSBP3 and BSK7 against the quality level of ironing.
The t-count 2.508 to BSBP3 and BSK7 to 2.275, where α = 0.05, (n-1) = 30-1, t = 29) table of 2.257. In accordance with the provisions of if t calculate > t-table α (n-1) then the Ho is rejected and the Ha, so that it can be concluded that the deciding free variables (BSBP3 and BSK7) effect significantly to the quality level of ironing.
R square obtained 0.559 this explains that the given variable contributions ironing against the quality level of 55.90% while the rest amounted to 44.10% were influenced by other factors not examined.
The Durbin-Watson values count are on the interval between du < 4-DW < du, or 1.567 < 1,728 < 2.433. According the above decision-making basis, then Ho accepted or there is no correlation, so the regression model to predict the quality level of ironing.

Concreting
From table obtained F count of 5.181 while the price F table of 4.20 for α = 0.05, (k-1) = (2-1) = 1, (n-k) = (30-2) = 28. In accordance with the provisions of F if F > count table then Ho is rejected and the Ha, so that it can be concluded that there are significant effects simultaneously (simultaneous) of the variables CRBP7 and CRK2 against the quality level and model concreting work The obtained t-count of 2.332 to CRBP7 and to CRK2 2.326, where α = 0.05, (n-1) = 30-1 t = 29) table of 2.045. In accordance with the provisions of if t calculate > t table α (n-1) then Ho denied and Ha is received. It can be concluded that the variables CRBP7 and CRK2 effect significantly to quality level job concreting.
R-square value 0.622 shows that the contribution of a given variable concreting work against quality level of 62.20% while the rest of 37.80% were influenced by other factors not examined.
The value of the Durbin-Watson count are on the interval between du < 4-DW < du, or 1.567 < 2.365 < 2.433. According the above decision-making basis, then Ho accepted or there is no correlation. So the regression model to predict the quality level worthy job concreting.

Uninstall the Formwork
From table obtained F count amounted to 4.755 while the price F table of 4.20 for α = 0.05, (k-1) = (2-1) = 1, (n-k) = (30-2) = 28. In accordance with the provisions of F if F > count table then Ho is rejected and the Ha, so that it can be concluded that there are significant effects simultaneously of the variables BBKBP3 and BBKK4 against the quality level of install the formwork.
The obtained t-count of 2.740 for BBKBP3 and for 2.257 BBKK4, where α = 0.05, (n-1) = 30-1 t = 29) The value of the Durbin-Watson count are on the interval between du < 4-DW < du, or 1.567 < 1989 < 2.433. According the above decision-making basis, then Ho accepted or there is no correlation. So the regression model to predict the quality level worthy of a job uninstall the formwork.

Conclusion
The performance of the project implementation until the 27th week of aspects of project implementation costs, not experiencing excess costs, but the implementation of the projects experienced delays. The implementation of the project to date is still running, if the performance of the execution of the project remains the same until the project is completed, then the cost for concrete will be needed amounting to Rp 72,723,869,102 with a value of Variance at Completion (VAC) Rp 13,736,780,898, the cost of implementation is less than budget plan amounted to Rp 86,460,650,000. The aspect of time, when the performance doesn't update then it will happen, for concrete project delay completion of the project for 83 weeks which means the projects experienced delays for 28 weeks of the time specified in the contract that is over 55 week.