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EVALUATION OF DISTRIBUTION PIPELINE NETWORK USING EPANET 2.0 PROGRAM IN KARANGSARI PERMAI HOUSING, SIANTAR MARTOBA DISTRICT PEMATANGSIANTAR CITY Hadi Panjaitan; Jonathan Dingel; Adrian K Tarigan; Ben Setiawan; Diana Florenta Butar-Butar
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 2 (2020): International Conference on Health Science, Green Economics, Educational Review and T
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (697.616 KB) | DOI: 10.54443/ihert.v2i.31

Abstract

Clean water is a basic need for humans, so it is only natural that the clean water sector is given priority in handling and fulfilling it. PDAM as a regional clean water management company should be able to meet this need. With the existing treatment system and piping network system, PDAM is expected to be able to meet the clean water needs of the people in Pematangsiantar City. The purpose of this study was to find out whether it is necessary to increase water production to meet the current clean water needs of PDAM Tirtauli customers, to simulate clean water distribution pipelines in Pematangsiantar City using the EPANET 2.0 program, and to compare the simulation results of clean water distribution pipelines using the program. EPANET 2. 0 with the results of the distribution pipe network system planning for the current existing conditions. Based on the simulation results, the pressure value for the peak hours of water use is 0.2 kg/cm (2 m) for the lowest pressure, while the highest pressure is 2.19 kg/cm (21 m). In addition, a comparison of the pressure value from the simulation results was also carried out with the results of field measurements at Karangsari Permai Housing Complex. From this comparison, the pressure value obtained from the simulation results was 0.2 kg/cm (2 m), while the pressure value for field measurements carried out by the NRW PDAM Tirtauli team in this housing was 0.14 Kg/cm (1.4 m). The difference in pressure values was caused by the age factor. pipes, water leaks, and limited research data. Based on the simulation results, the pressure value for the peak hours of water use is 0.2 kg/cm (2 m) for the lowest pressure, while the highest pressure is 2.19 kg/cm (21 m). In addition, a comparison of the pressure value from the simulation results was also carried out with the results of field measurements at Karangsari Permai Housing Complex. From this comparison, the pressure value obtained from the simulation results was 0.2 kg/cm (2 m), while the pressure value for field measurements carried out by the NRW PDAM Tirtauli team in this housing was 0.14 Kg/cm (1.4 m). The difference in pressure values was caused by the age factor. pipes, water leaks, and limited research data. Based on the simulation results, the pressure value for the peak hours of water use is 0.2 kg/cm (2 m) for the lowest pressure, while the highest pressure is 2.19 kg/cm (21 m). In addition, a comparison of the pressure value from the simulation results was also carried out with the results of field measurements at Karangsari Permai Housing Complex. From this comparison, the pressure value obtained from the simulation results was 0.2 kg/cm (2 m), while the pressure value for field measurements carried out by the NRW PDAM Tirtauli team in this housing was 0.14 Kg/cm (1.4 m). The difference in pressure values was caused by the age factor. pipes, water leaks, and limited research data. In addition, a comparison of the pressure value from the simulation results was also carried out with the results of field measurements at Karangsari Permai Housing Complex. From this comparison, the pressure value obtained from the simulation results was 0.2 kg/cm (2 m), while the pressure value for field measurements carried out by the NRW PDAM Tirtauli team in this housing was 0.14 Kg/cm (1.4 m). The difference in pressure values was caused by the age factor. pipes, water leaks, and limited research data. In addition, a comparison of the pressure value from the simulation results was also carried out with the results of field measurements at Karangsari Permai Housing Complex. From this comparison, the pressure value obtained from the simulation results was 0.2 kg/cm (2 m), while the pressure value for field measurements carried out by the NRW PDAM Tirtauli team in this housing was 0.14 Kg/cm (1.4 m). The difference in pressure values was caused by the age factor. pipes, water leaks, and limited research data.
THE EFFECT OF JOB DESCRIPTION ON EMPLOYEE PERFORMANCE WITH COMPENSATION AS AN INTERVENING VARIABLE (Case Study on Nurse and Medical Doctor of Chicago District) Jonathan Dingel; Mark G Maffet
MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation Vol. 1 No. 2 (2020): June
Publisher : PT. Radja Intercontinental Publishing | ISSN: XXXX-XXXX

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (790.654 KB) | DOI: 10.59733/medalion.v1i2.12

Abstract

This study aims to determine how the influence of job descriptions on employee performance with compensation as an intervening variable for Nurse and Medical Doctor of Chicago District. The research method used is the method of qualitative data and quantitative data. While the data used is primary data. The method of data analysis in this study uses simple linear regression analysis to obtain a comprehensive picture of the effect of job description variables on employee performance with compensation as an intervening variable for Nurse and Medical Doctor of Chicago District using the SPSS 25 for Windows program. To find out whether there is a significant effect of the independent variable on the dependent variable, a simple linear regression model is used. The results of testing the hypothesis using simple regression analysis and t test show that: that the t-table value of the job description variable is 4.181 > the t-table value (df: 38, α: 5%) is 1.685 so it can be concluded that the job description has a positive effect and significant to employee performance. Furthermore, from table 4.17 it can also be seen that the t-table value of the compensation variable is 1.186 < the t-table value (df: 38, α : 5%) is 2.024 so it can be concluded that compensation has no significant effect on employee performance.