Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Health, Economics, and Social Sciences (IJHESS)
T. Hilmansyah
Unknown Affiliation
Economics, Econometrics & Finance Public Health Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Risk Analysis of Disaster Management Project in Central Sulawesi Province Andi Rizal; T. Hilmansyah; M. Amin; Muhammad Sutrisno
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 6 No. 4: October 2024
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v6i4.6160

Abstract

Risk is the cause of unexpected conditions that can cause loss, damage, or loss. This is due to the risks contained in construction projects that can affect the productivity and quality of the project. The Central Sulawesi Province 2 School Infrastructure Disaster Management Project, located in Sigi Regency, Central Sulawesi Province, is a project that handles the construction of school infrastructure. This project is also not free from risks that can cause the project not to run as planned and suffer losses. Based on the description above, the researcher is interested in conducting a risk analysis that occurs in the Central Sulawesi Province School Infrastructure Disaster Management Project 2. The methods used in this study are data collection by distributing questionnaires, conducting data analysis, descriptive statistics, reliability tests, risk analysis, risk response and risk control. This research was carried out for 6 months, starting from preparation, implementation, data collection, and monitoring and evaluation. The outputs to be achieved in this study are scientific articles published in research journals and reports on the results of activities.
Estimation of Construction Cost of Road Works in Central Sulawesi Using Quadratic Regression Andi Rizal; T. Hilmansyah; M. Fajri
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.6161

Abstract

Cost estimation is an attempt to forecast or estimate the value of a job by analyzing calculations based on experience or information obtained at that time. Cost estimation has great benefits for project owners, consultants, and contractors. This research is based on cost estimates that provide great benefits to owners, contractors, and consultants, but there are often errors in cost estimates due to the lack of experience and information possessed by an estimator. The purpose of this study is to develop an equation that can guide an estimator in estimating costs with a level of accuracy that is close to the actual cost and speed up the estimation process. The method used in this study is data collection by taking directly from road projects that are in the middle of the ulawesi, data tabulias, correlation and quadratic regression. The outputs to be achieved in this study are scientific articles published in research journals and reports on the results of activities.
Co-Authors Andi Rizal M. Amin M. Fajri Muhammad Sutrisno