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All Journal Jurnal Teknik ITS Jurnal Sains dan Seni ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Journal of Civil Engineering JST ( Jurnal Sains Terapan ) Simposium II UNIID 2017 Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Aplikasi Teknik Sipil Astonjadro Journal of Infrastructure and Facility Asset Management Monas: Jurnal Inovasi Aparatur Journal of Economics and Business UBS Jurnal Impresi Indonesia Journal of Social Research Jurnal Indonesia Sosial Teknologi Eduvest - Journal of Universal Studies Sewagati Journal of Green Science and Technology
I Putu Artama Wiguna
Civil Engineering Department, Institut Teknologi Sepuluh Nopember (ITS), Surabaya
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Journal : Journal of Civil Engineering

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ANALISIS FAKTOR PENYEBAB WASTE PADA PROYEK KONSTRUKSI GEDUNG DI KOTA SURABAYA DENGAN METODE EXPECTED MONETARY VALUE Bramantya Fidiansyah Putra; I Putu Artama Wiguna
Journal of Civil Engineering Vol 34, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.557 KB) | DOI: 10.12962/j20861206.v34i1.5177

Abstract

Generally, the term of waste can be defined as activities that cost both directly or indirectly and use physical and non-physical resources, but it does not add value or progress for the product. Waste occurring in a construction project could be in physical or non-physical form. A lot of main factors cause the existence of waste in a construction project, which are internal factors and external factors. Surabaya is a big city having the high growth-rate of building construction, so there are many projects buildings now. The probability of waste existence can be high too, because of this non-stop building procces.This research aims to find the main cause of waste in the project and the influence of its mitigation.The population of this research is building constuction projects in Surabaya that generate waste. The sampling technique is purposive technique sampling. This study uses data collection techniques by questionnaires and interviews about the factors that cause waste in 15 building construction projects. The taken data are probilities, and impact of waste cause variables. This research uses Fault Tree Analysis method, Monte Carlo, and Expected Monetary Value.. This number of probability dan the impact of the factors are calculated to gain the expected monetary value. The greatest value of this number indicates the main waste factor. The result of this research indicates three biggest cause of waste based on EMV value. They are owner making design change when construction have been running, less competent planners, and miscommunication happened in design planning. While, the largest category of waste causes is design category.
Factors Analysis Affecting Low Productivity in High-Rise Building Projects in Surabaya City Indonesia, Aileen; Wiguna, I Putu Artama
Journal of Civil Engineering Vol 39, No 1 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v39i1.17410

Abstract

High-rise building construction projects are characterized by significant risks and numerous challenges, which frequently lead to low productivity, causing delays and hindering project completion. One way to address these problems is to analyze the risk factors of low productivity in construction projects using a clustering method based on their probability and impact. This approach helps determine the dominance level of each cluster and provides insights into the occurrence of risk factors that affect low productivity in high-rise building projects in Surabaya City. This research was conducted with surveys filled out by 37 respondents involved in four high-rise building projects in Surabaya City. The aim of this study is to analyze risk factor clustering and determine the dominance of each cluster affecting low productivity in high-rise building projects in Surabaya City by employing the Agglomerative Hierarchical Clustering method to identify clusters and determine the most dominant cluster using Euclidean Distance. From the literature review, 33 risk factors were identified as the variables of this research. The AHC method was carried out based on the mean probability and impact of each cluster obtained from the survey. The result of AHC is that Cluster 1 consists of 23 factors, Cluster 2 consists of 5 factors, and Cluster 3 consists of 5 factors. For the dominance level of each cluster, the Euclidean distance method was carried out, and the result was that Cluster 2 emerged as the highest overall risk, and Cluster 3 represented a low overall risk.
Factor Analysis of Sustainable Procurement Implementation in the Public Sector Construction Industry Aisha, Della; Wiguna, I Putu Artama
Journal of Civil Engineering Vol 40, No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i1.21933

Abstract

Public procurement holds significant potential to advance a country's sustainability agenda due to its substantial procurement volume. However, the gap between the principles of sustainable construction and their implementation in Indonesia remains suboptimal, with limited studies addressing sustainable procurement in the construction sector. Therefore, this research aims to identify the factors of the implementation of sustainable procurement in the public sector of the construction industry. Data were collected through a questionnaire survey involving 50 respondents from the procurement department of the Ministry of Public Works and Housing (PUPR). The research used a 5-point Likert scale for measurement, and data were analyzed using exploratory factor analysis. This research found five main factors in sustainable procurement practices, namely: environmental purchasing, implementation of management systems, implementation of economic benefits, implementation of government regulations, and social procurement
Co-Authors Adi, Trijoko Wahyu Aditya Sutantio Ahyudanari, Ervina Aisha, Della Amien Widodo Andika Ade Indra Saputra Angga Tri Wibowo Anwar, Nadjadji Arif Rahman Hakim Aris Aminulwahyu Astuti, Dhiannita Tri Bramantya Fidiansyah Putra Cahyono Bintang Nurcahyo Chatarina Umbul Wahyuni Christiono Utomo Dedy Darmanto Dewa Sang Nyata Diah Sarasanty Dwinanda Fadhlan Erma Suryani Farida Rachmawati Farida Rachmawati, Farida Faris Afif Octavio Franciska Lisa Permatasari Gita Prestalita Gumbiratno Widiatmoko Hanie Teki Tjendani Hansel Samuel Eiros Saragih Hardiansah, Hardiansah Herry Budianto Herry Pintardi Chandra Herry Pintardi Chandra Herry Pintardi Chandra Indarto . Indarto . Indarto . Indarto Indarto Indonesia, Aileen Indriyani, Retno Indryani, Retno Irawan Dwi Purnomo Kurniawan, Heru Limbong, Sucipto M. Arif Rohman M. Arif Rohman Mario Hartono Nova Nevila Rodhi Nurcahyo, Cahyono Bintang Panji Bawono Saputro Paulus Pati Richardo Tenawaheng Perdana, Adhitya Permadi, Sonny Citra Peter F Kaming Peter F. Kaming Peter F. Kaming Peter Kaming Peter Kaming Pohan, Muhammad Fauzi Putri, Yusronia Eka Ramadhani, Salsafanti Alifthania Retno Indryani Retno Indryani Riski Nugrahaning Gusti Rohman, Mohammad Arif Rohman, Mohammad Arif Rossana Margaret Kadar Yanti Rozaq, Fatkhur Siahaan, Hasiholan Christian Surya, Agung Bagus Syamsud Dhuha Taurista Yuristanti Tri Joko Wahyu Adi Vita Ratnasari Waliulu, Yusroniya Eka Putri Rachman Yudha Pramana Yusronia Eka Putri