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Analisis Investasi Pengembangan Bandar Udara Mutiara Sis Aljufri Palu Labaso, Eko Rakhmat
JOURNAL TEKNIK SIPIL DAN INFRASTRUKTUR Vol 7, No 1 (2017)
Publisher : Jurusan Teknik Sipil Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.383 KB)

Abstract

Central Sulawesi is one of the six locations which determined as the economic growth corridor. It shows that infrastructure development is the main priority of this province. Mutiara SIS Aljufri Airport Palu is one of the several developed infrastructure in this region. The reason for this, the existency of transportation services is positively correlated to the economic and community development. Therefore, the government of Palu and the management of Mutiara SIS Aljufri Airport Palu agreed to improve the level of Mutiara SIS Aljufri Airport Palu as an international airport. This study aims to determine the developing investment of Mutiara Airport SIS Aljufri Palu. In addition, this study apply several analysis methods, such as, NPV, IRR and Profitability Index (PI) method. The result shows that the investment in the Mutiara SIS Aljufri Airport Palu is feasible based on the method of Net Present Value (NPV), Internal Rate of Return (IRR) and Profitability Index (PI) analysis.This investmental so provides enhanced services for users and air transport service providers. Based on the Gross Domestic Product (GDP) at constant 2000 prices in Quarter III (2014), the economic growth of Central Sulawesi Province increase compare to the the same quarter in previous year (2013). The proportion of economic growth is 6.58 % (y-on-y).
Evaluasi Kerusakan Jalan Menggunakan Metode Pavement Condition Index (PCI) dan Surface Distress Iindex (SDI) Studi Kasus Jalan Pue Bongo – Kota Palu E.R. Labaso; M.S. Ishak; M. Kasan
REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development Vol. 3 Issue 2 (September 2022)
Publisher : Civil Engineering Department, Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/renstra.v3i2.428

Abstract

Pue Bongo street is one of the urban roads where the pavement is damaged. Based on the observations made, there are many types of damage found, disturbance to road users and have a major impact on safety and comfort.The purpose of this research is to knowing the condition of the damage that occurred and the appropriate form of handling the problem of damage to the Pue Bongo street. Data collection was carried out along the Sta.0+000 to Sta.1+525 roads, namely visually. The data required are secondary data and primary data. Secondary data were obtained through the Department of Highways and Spatial Planning of Central Sulawesi Province. Primary data was obtained through a visual road condition survey using the PCI and SDI methods. The results of the analysis of the condition of the Pue Bongo pavement with an average PCI value of 37.90 indicate poor conditions, while the SDI average value is 76.56 with moderate conditions. The recomended treatment based on PCI method is reconstruction/recycling, for the SDI method the recomended treatment is maintenance. As for the handling of damage basd eon the MDP 2017, namely peeling and replacing the material in certain areas.
Model Bangkitan Perjalanan Masyarakat Penyintas di Kota Palu (Studi Kasus : Hunian Tetap Tondo 1) R. Rahman; M. Mashuri; E.R. Labaso; H. Hildayanti
REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development Vol. 4 Issue 1 (March 2023)
Publisher : Civil Engineering Department, Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/renstra.v4i1.543

Abstract

Tondo 1 permanent housing is intended for residents affected by the earthquake and tsunami on 28 September 2018. Furthermore, Tondo 1 permanent housing is now inhabited by people from various areas such as Petobo, Mamboro, Balaroa, Talise, and Tondo Villages. The rapid population growth in the tondo village after the relocation resulted in increased movements in the tondo village due to a large number of trips. This affects the trip generation of people who travel from their homes to the Central Business District (CBD) to carry out their daily activities. This study aims to determine the community's characteristics and model the trip generation in Tondo 1 permanent housing. This study used the multiple linear regression method. Based on the calculation, two variables affect the trip: the number of working family members (X2) and the number of vehicle ownership (X5). Therefore, the analysis model of the trip generation of survivors at Tondo 1 permanent housing area is obtained as follows: Y = 1.766 + 0.325 X2 + 0.271 X5.