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Formula for predicting material needs in residential building projects


Article Information

Title: Formula for predicting material needs in residential building projects

Authors: Paikun, Hasan Basri Maulana

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2020

Volume: 15

Issue: 21

Language: English

Categories

Abstract

Residential development projects require resources and resource management is the most important factor in project success. Resources needed in residential building projects are money, materials, manpower, machinery and methods. Improper management of resources will result in project delays and losses. Every construction project requires material resources and if it is not appropriate to provide material, construction project completion will be too late. Delay in the completion of a construction project that often occurs is the result of inadequate in providing material, this happens because they do not know exactly how much material is needed. Estimation method for predicting material needs in existing construction projects so far there needs to be complete data, through a long process and requires special expertise, therefore often it is not appropriate to provide material. Based on the description of this problem, then how to predict the material needs of residential building projects when data information is limited. Can it be predicted the amount of all material needs if there is only information on the area of the planned residential building. To solve this problem the solution is a model. This model is a formula for predicting material needs. This model is the result of research using the Regression Analysis (RA) method using 100 sampling data and this data is the data on the amount of material used in residential building projects. The model is then arranged in the application, then becomes a program. Using this model, only entering the planned residential building area data, then automatically 24 types of items in the housing construction project will be predicted. This model has an average difference of under 5% so that it can be stated this model can be used to predict the amount of material needs in residential building projects accurately, easily and quickly.


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