<?xml version="1.0" encoding="UTF-8"?>
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<title>4th CE REFORM</title>
<link href="http://hdl.handle.net/123456789/44908" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/44908</id>
<updated>2026-04-27T16:00:21Z</updated>
<dc:date>2026-04-27T16:00:21Z</dc:date>
<entry>
<title>Identifikasi Pentingnya Pengenalan Peranan Civitas Akademika Teknik Sipil Dalam Menurunkan Tingkat Kecelakaan Berkendara</title>
<link href="http://hdl.handle.net/123456789/56268" rel="alternate"/>
<author>
<name>Hadi, Muhamad Abdul</name>
</author>
<author>
<name>Mukti, Fathoni Abdul</name>
</author>
<author>
<name>Tolab, Laziqoh Zahatul</name>
</author>
<author>
<name>Hanifardhi</name>
</author>
<author>
<name>Kurniawan, Dika</name>
</author>
<author>
<name>Saptanto, Rahmad</name>
</author>
<author>
<name>Winarni</name>
</author>
<id>http://hdl.handle.net/123456789/56268</id>
<updated>2025-06-05T11:13:33Z</updated>
<published>2023-02-15T00:00:00Z</published>
<summary type="text">Identifikasi Pentingnya Pengenalan Peranan Civitas Akademika Teknik Sipil Dalam Menurunkan Tingkat Kecelakaan Berkendara
Hadi, Muhamad Abdul; Mukti, Fathoni Abdul; Tolab, Laziqoh Zahatul; Hanifardhi; Kurniawan, Dika; Saptanto, Rahmad; Winarni
Traffic accidents are one of the biggest causes of death in Indonesia. Accidents occur due to several factors, namely human factors, vehicles, infrastructure, and the environment. From several factors, the most crucial factor is infrastructure. The road that was built uses the principles of road safety which involves the civil engineering academic community directly in the entire design process. But unfortunately, this is not introduced to the public so that it often raises questions and differences in perceptions. These conditions must be identified to determine the next steps. In this study identification was carried out to identify the important role of the civil engineering academic community in the community which was represented by 167 students of SMA Negeri 1 Pakem. This study uses primary data obtained from the interview process and filling out a questionnaire containing 5 questions related to the role of the academic community i reducing accident rates. The results of the study concluded that there were still many parties who did not know about the role of the civil engineering academic community. During the preactivity, only 15% of students thought that the civil engineering academic community played a role in reducing the number of accidents. However, after the material presentation activities, the statement changed significantly, namely to 61%. This proves that the introduction of the academic community really needs to be done as early as possible to establish communication with the community and increase the role of the academic community in efforts to reduce the number of traffic accidents.
</summary>
<dc:date>2023-02-15T00:00:00Z</dc:date>
</entry>
<entry>
<title>Analisis Penentuan Kriteria Lokasi Perumahan Kpr Subsidi Menggunakan Metode Analytical Hierarchy Process (AHP)</title>
<link href="http://hdl.handle.net/123456789/56267" rel="alternate"/>
<author>
<name>Amal, Ikhlasul</name>
</author>
<author>
<name>Nugraheni, Fitri</name>
</author>
<id>http://hdl.handle.net/123456789/56267</id>
<updated>2025-06-05T10:43:32Z</updated>
<published>2023-02-15T00:00:00Z</published>
<summary type="text">Analisis Penentuan Kriteria Lokasi Perumahan Kpr Subsidi Menggunakan Metode Analytical Hierarchy Process (AHP)
Amal, Ikhlasul; Nugraheni, Fitri
Batang Regency is a strategic location that caused many new investments being built, one of them is the Batang Industrial Park (BIP). This is also caused an attraction for regional development, especially the housing sector to become a business opportunity. The high residential growth in Batang Regency can be used as a business opportunity for developers to make strategic residential developments around the Batang Industrial Park (BIP) area. Developers need to setting several criteria to be used as options for subsidized KPR housing development in BIP. Determining consumer criteria can be completed using the Analytical Hierarchy Process (AHP) method to assist decision making by considering the scoring value (weight) on each criterion. There are eight criteria in this study, that is: selling price (K1), road network (K2), slope of land (K3), disaster vulnerability (K4), water network (K5), educational facilities (K6), health facilities (K7), and a shopping center (K8). From the result of the assessment on each criterion according to the respondents, then an analysis of the potential level/rating to find out the public's interest in the criteria for subsidized KPR housing. The results of data process using the Analytical Hierarchy Process (AHP) method obtained the results of the sequence of criteria from the highest to the lowest weight, that is disaster vulnerability features (K4) with a weight of 0.1578, criteria for water networks (K5) with a weight of 0.1499, selling price criteria (K1) with a weight of 0.1371, slope criteria (K3) with a weight of 0.1348, criteria road network (K2) with a weight of 0.1226, features of educational facilities (K6) with a weight of 0.1128, recreational health facilities (K7) with a weight of 0.1091, and world recreation centers (K8) with a weight of 0.0758.
</summary>
<dc:date>2023-02-15T00:00:00Z</dc:date>
</entry>
<entry>
<title>Analisis Pencegahan Kecelakaan Kerja Pada Pekerjaan Jembatan Pada Jalan Tol</title>
<link href="http://hdl.handle.net/123456789/56266" rel="alternate"/>
<author>
<name>Prasetyo, Rendy</name>
</author>
<author>
<name>Wibowo, M. Agung</name>
</author>
<author>
<name>Nugraheni, Fitri</name>
</author>
<id>http://hdl.handle.net/123456789/56266</id>
<updated>2025-06-05T10:39:42Z</updated>
<published>2023-02-15T00:00:00Z</published>
<summary type="text">Analisis Pencegahan Kecelakaan Kerja Pada Pekerjaan Jembatan Pada Jalan Tol
Prasetyo, Rendy; Wibowo, M. Agung; Nugraheni, Fitri
The construction industry is an industry with a high risk of work accidents. SMK3 or the occupational safety and health management system is required to control risks in construction projects. Several efforts can be made to reduce the number of work accidents, one of which is through the Hazard Identification Risk Assessment and Determining Control (HIRADC) method. This study aims to identify potential hazards and assess the risk level before and after controlling the hazards involved in the construction of the IC Kartasura Bridge. Hazard identification was carried out based on the results of observations and interviews with two informants. Based on the results obtained, it was found that there were 41 types of hazards with risk levels ranging from extreme, high, moderate, and low. Based on the assessment of the first informant, it was observed that the risk in the extreme category was originally 46,34% to 7,32%, in the high risk from 34,15% to 26,83%, in the moderate risk from 17,07% to 26,83% and the risk in the low category from 2,44% to 39,02%. Meanwhile, from the second respondent, the risk in the extreme risk category was from 12,20% to 2,44%, at high risk from 58,54% to 7,32%, at moderate risk from 21,95% to 12,20%, and at jobs with low risk from 7,32% rose to 78,05%. The risk control carried out has been conducted in accordance with the K3 hierarchy, i.e., elimination, substitution, engineering, administration, and personal protective equipment (PPE).
</summary>
<dc:date>2023-02-15T00:00:00Z</dc:date>
</entry>
<entry>
<title>Penerapan Visi Komputer Dalam Bidang Konstruksi</title>
<link href="http://hdl.handle.net/123456789/56265" rel="alternate"/>
<author>
<name>Narlan, Ryandra</name>
</author>
<id>http://hdl.handle.net/123456789/56265</id>
<updated>2025-06-05T10:36:11Z</updated>
<published>2023-02-15T00:00:00Z</published>
<summary type="text">Penerapan Visi Komputer Dalam Bidang Konstruksi
Narlan, Ryandra
Currently, computer vision, which is subfield of artificial intelligence, has been applied in various fields such as health, agriculture, transportation and construction. Along with the development of information technology, it is possible to apply computer vision with high accuracy and speed in the construction field. This paper aims to review articles on the utilization of computer vision in the construction field. Many artificial intelligence models developed today can be used in the construction field. The YOLO model is widely used in the construction field, including classifying and detecting damage to road pavement, counting the number of vehicles, detecting the use of personal protective equipment, detecting cracks in building structures, and monitoring unsafe conditions of workers in construction areas.
</summary>
<dc:date>2023-02-15T00:00:00Z</dc:date>
</entry>
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