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Analysis of Flood Peaks Using The Mean Annual Flood Method Acep Hidayat; Basysyar Basysyar; Yulius Rief Alkhaly; Md Nadir Bin Ali
International Journal of Engineering, Science and Information Technology Vol 2, No 2 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (799.519 KB) | DOI: 10.52088/ijesty.v2i2.249

Abstract

The Kedang Pahu river is one of the tributaries of the Mahakam river. The research plan is located in Damai District, West Kutai Regency, East Kalimantan province. Recently, the Damai District and Damai Seberang areas have flooded activities that have caused the surrounding settlements to flood into residential areas and block existing road access. Planning analysis and knowing the annual flood elevation is essential. The analysis uses the method of calculating the mean annual flood (MAF) to search for the average annual flood discharge data and the search for the average annual elevation. Data validation using a simple linear regression method produces a correlation coefficient of 58.67%, or R-value = 0.5867. The analysis results in the value of Q1 or the 1st year period, the mean annual flood rate of the average annual flood discharge is 2576.0695 m³/second and the value associated with the magnifying factor (GF) is the average annual flood discharge rate of Q5=3014,00 m³/ sec, Q10 = 3529.22 m³/sec, Q20 = 4095.95 m/sec, Q50 = 5049.10 m³/sec, Q100 = 5847.68 m³/sec, Q200 = 6852.34 m³/sec, Q500 = 8423.75 m³/sec Q1000 = 9917.87 m³/sec. The analysis results at HEC-RAS 5.07 based on manning analysis showed the elevation values were Q1=18.47m, Q5=18.85m, Q10=18.86m, Q20=19.18m, Q50=19.74m Q100=19.99m. Researchers only show elevations up to Q100 or the 100th year because of limited data and the reviewed data accuracy.
Analysis of Factors Affecting the Effectiveness of Road Maintenance in Pidie Regency Muhammad Yanis; Hamzani Hamzani; Yulius Rief Alkhaly
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.610

Abstract

Land transportation infrastructure as a medium of accessibility for various community needs that have an important role in economic growth, socio-cultural, political, and other factors of a region or area. In order for road infrastructure to function optimally in improving these factors, several important aspects need to be considered, including having user safety and comfort, environmentally friendly. Land transportation infrastructure is not only a means of mobility but also a tool to achieve better social and economic welfare for the entire community. Given the strategic role of land transportation infrastructure, namely roads, it is very necessary to have security and comfort values so that the efficiency and effectiveness of the infrastructure are indicators to be evaluated. The effectiveness and efficiency of roads are greatly influenced by many factors including road conditions and age, land use, social, economic and policy. community and related parties. The purpose of this study is to analyze the dominant factors that influence the effectiveness of road maintenance in Pidie district. This study uses a qualitative approach to analyze data obtained from respondents which are primary data and the use of SPSS as an analysis tool so that it becomes numerical. The results obtained for the instrument items used are reliable and trustworthy, this is based on the Cronbach's Alpha (CA) value obtained in the range of 0.50 to 0.70. Based on the results and discussions obtained, it can be concluded that all proposed instrument items provide a significant contribution to determining the effectiveness of road maintenance decisions in Pidie Regency with the highest influence instrument factors being economic instruments and road conditions. The coefficient value obtained for the two factors is 5.571 for the economic instrument and followed in second place, namely the road condition instrument item with a coefficient of 3.603.