Paikun, Muhammad Kahpi, Rina Krisnawati, Andri Agustian, Randi Rohimat, Jasmansyah
{"title":"Estimates of Material Need on Houses Construction Using Regression Model Program","authors":"Paikun, Muhammad Kahpi, Rina Krisnawati, Andri Agustian, Randi Rohimat, Jasmansyah","doi":"10.1109/ICCED.2018.00027","DOIUrl":null,"url":null,"abstract":"Knowing the material needs of house construction project is very important to anticipate the shortcomings or excess material that cause disadvantages to the contractor. However, it is difficult to realize if the bill of quantity is not available. Even, bill of quantity can be arranged after completing data support. To find out the material needs of a building, data is needed and must have been compiled a bill of quantity. How can I know the material requirements when the data is very limited? The Program Model is the right solution to overcome the problem on material needs in house construction projects. To obtain a model, then the model compile it into a program, and find out the material needs of a house construction project, it is very urgent to conduct a research. This study used a quantitative descriptive approach. The data used were primary data and secondary data. Primary data and secondary data of this study were project documents. The data were processed then analyzed using regression method to get a model. The model that had been obtained then processed into a program to estimate the material needs of the house construction projects. This research brought in a model program which used to estimate the material needs of a simple house construction project with only building area input data. By using this program, it can be known all the material needs in a house construction. Easy, fast and practical.","PeriodicalId":166437,"journal":{"name":"2018 International Conference on Computing, Engineering, and Design (ICCED)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computing, Engineering, and Design (ICCED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCED.2018.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Knowing the material needs of house construction project is very important to anticipate the shortcomings or excess material that cause disadvantages to the contractor. However, it is difficult to realize if the bill of quantity is not available. Even, bill of quantity can be arranged after completing data support. To find out the material needs of a building, data is needed and must have been compiled a bill of quantity. How can I know the material requirements when the data is very limited? The Program Model is the right solution to overcome the problem on material needs in house construction projects. To obtain a model, then the model compile it into a program, and find out the material needs of a house construction project, it is very urgent to conduct a research. This study used a quantitative descriptive approach. The data used were primary data and secondary data. Primary data and secondary data of this study were project documents. The data were processed then analyzed using regression method to get a model. The model that had been obtained then processed into a program to estimate the material needs of the house construction projects. This research brought in a model program which used to estimate the material needs of a simple house construction project with only building area input data. By using this program, it can be known all the material needs in a house construction. Easy, fast and practical.