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Analisis Kausalitas Kecelakan Konstruksi dengan Pendekatan Analogi Fault Tree Analysis (FTA) Adwitya Bhaskara; Cahyo Dita Saputro; Firdamarsha Benadikta; Syawaluddin Alim; Danny Setiawan
Bentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Vol 9 No 2 (2021): BENTANG Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil (Juli 2021)
Publisher : Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/bentang.v9i2.2860

Abstract

In mid-2019, there was a construction accident during the underpass construction project in Yogyakarta. The underpass excavation wall in this project was collapsed and 2 vehicles were reported fallen. Although such accident sometimes occurs in some projects, it does not mean that these accidents are caused by the same source. Many efforts to prevent accidents have been done by various methods and one of them is an assessment by observation at construction sites referring to Government Regulation 05 2014 concerning SMK3 (Occupational Safety and Health Management System) in the Public Works Sector Construction. The details about the implementation of construction work are described in PUPR Decree No. 21 in 2019 in term of the Construction Safety Management System (SMKK) Guidelines. This research was conducted to identify factors and indicators of management consultants, supervisors and contractors who have a major impact and contribution to the underpass construction project in Kentungan, Yogyakarta. The percentage level of accuracy in the application of the construction safety management system based on the assessment of the contractor was 85.938% and for the supervisory consultant the percentage level of accuracy was 97.29%. Both percentages are included in the satisfactory category since the assessment ranges are between 85% and 100%. Based on these two assessments, an evaluation was carried out using a Fault Tree Analysis to determine the causality flow of construction accidents.
ANALISIS WASTE MATERIAL DENGAN PENERAPAN LEAN CONSTRUCTION Risky Irianto Girik Allo; Adwitya Bhaskara
Jurnal Teknik Sipil Vol 18 No 2 (2022): Jurnal Teknik Sipil
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jts.v18i2.4494

Abstract

Waste material affects project implementation. In addition, it also affects the productivity of the project as well as costs and time. Based on this, good management is needed in handling and minimizing the occurrence of material waste. Lean Construction is one approach that can be used to handle and minimize this occurrence. This study aims to determine the most dominant waste material indicators that cause material waste, determine the estimated costs resulting from material waste and total cost estimates until the observed work is completed, determine the most dominant type of material that causes material waste and determine the percentage of Lean Construction implementation. The case study of this research was conducted on the Karangsambung Indonesia Geodiversity Area Facility Development Project Package 2. The Bayes theorem method was used to determine the most dominant indicator of material waste that causes material waste to occur. Pareto diagrams are used to determine the most dominant type of material that causes material waste. The data from this study were obtained by conducting interviews, observations and filling out the waste material questionnaire and the Lean Construction application questionnaire. The conclusion of this study is that the most dominant indicators that cause material waste are Defect and Waiting with a confidence value of 100% each. The estimated cost obtained during the 2-week observation is Rp. 10,440,859.91 and the estimated cost until the work is completed is Rp. 26,102,149,77. The most dominant type of material that causes material waste is deformed reinforcement Ø22 (Rp. 4,436,673.32), deformed reinforcement Ø 19 (Rp. 2,051,606 ,29) and threaded reinforcement Ø 16 (Rp. 1,387,546,88). The percentage of Lean Construction implementation obtained is 98.94%.