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All Journal Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia Jurnal Teknik Gradien
Kardita, Putu Cinthya Pratiwi
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Engineering Environmental Science Industrial & Manufacturing Engineering

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Characteristics Plastic Blocks from Plastic Waste for Building Wall Materials (PBWBM): Foam Nets and Used Oil Kardita, Putu Cinthya Pratiwi; Thanaya, I Nyoman Arya; Aryasatya, Muhammad Maheswara; Putra, I Komang Edi Perdana
Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia Vol 10, No 1 (2025): EDISI MARET 2025
Publisher : Universitas Tribhuwana Tunggadewi Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/rekabuana.v10i1.6466

Abstract

According to the Ministry of Environment and Forestry, total national waste in 2021 will reach 68,5 million tons. Of that amount, 17%, or around 11,6 million tonnes, was contributed by plastic waste. Fruit wrapping (foam nets) and thin plastic packaging are examples of plastic waste often found in society. This research will make fruit wrapping nets and use thin plastic packaging into plastic blocks for wall-building material (PBWBM). This research aims to determine the melting temperature, mixture proportions, and solidification temperature and analyze the characteristics of the plastic blocks using fruit wrapping nets, thin plastic packaging, waste motor oil, and rice husk ash filling materials. The PBWBM consisted of three types of samples, namely Mixture A (fruit wrapping net + waste motor oil), Mixture B (fruit wrapping net + used thin plastic packaging + waste motor oil), and Mixture C (fruit wrapping net + waste motor oil + rice husk ash). The right temperature for melting fruit wrapping nets and using thin plastic packaging with waste motor oil is 200 oC. The recommended PBWBM mixture proportion based on trial and error is 800 grams of fruit wrapping net and 600 grams of waste motor oil (compressive strength test results). The ideal compaction temperature ranges from 110 oC-125 oC, IRS test results range from 0,0135-0,0252 kg/m2.minute, water absorption content values range from 0,0281-0,0688%, and porosity values range from 0,720-2,006%. The compressive strength value without immersion was obtained in the range 29,826-42,063 kg/cm2, and the compressive strength value with immersion was obtained in the range 25,728-40,023 kg/cm2. The compressive strength values for the three types of PBWBM have reached the minimum average compressive strength based on BSN 1989 (≥ 25 kg/cm2).
OPTIMIZING ROAD SAFETY THROUGH GEOSPATIAL ANALYSIS OF ACCIDENT HOTSPOT CHARACTERISTICS AND VULNERABILITY LEVELS IN KARANGASEM REGENCY: GIS-Based Mapping and Analysis for Road Accident Prevention in Karangasem Regency Nugraha, I Dewa Made Ari Praja; Suthanaya, Putu Alit; Kardita, Putu Cinthya Pratiwi; Ariawan, Made Agus; Kusuma, I Made Juwan; Juliani, Ni Kadek
Jurnal Teknik Gradien Vol 18 No 01 (2026): JURNAL TEKNIK GRADIEN (On progress)
Publisher : Fakultas Sains dan Teknologi Universitas Ngurah Rai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47329/teknikgradien.v18i01.1656

Abstract

 According to data published by the World Health Organization (WHO, 2018), approximately 1.35 million people die annually due to road traffic accidents. This equates to one life lost every 25 seconds. In addition to the loss of life, road traffic accidents also cause profound psychological trauma for victims and families who lose loved ones. This research aims to identify road vulnerabilities and characterize traffic accident incidents in Karangasem Regency while addressing the research gap through a geospatial-based accident hotspot analysis using QGIS. This approach has not been comprehensively conducted in previous studies to support the development of more targeted and effective road safety policies in line with SDG 9. The primary data for this research involved geospatial analysis of high-risk locations, including the Tebola, Budakeling, and Tulamben highways, as well as other road sections. Furthermore, geoinformatics analysis using a quantum geographic information system (QGIS) was conducted to map the distribution of incidents and identify accident-prone areas as secondary data. The evaluation showed that the severity of road accidents is closely related to driver behavior and the physical condition of the road. From 2018 to 2022, 1,613 traffic accidents were recorded, with motorcycles accounting for the largest proportion, at 80.47%. Side-impact collisions were the most common type, with 384 reported. Mondays saw the highest number of accidents, with 222 incidents. In total, there were 1,648 injuries and 168 deaths. Evaluations show that the severity of traffic accidents is closely related to driver behavior and road conditions.
Co-Authors Ariawan, Made Agus Aryasatya, Muhammad Maheswara I Nyoman Arya Thanaya I P. Alit Suthanaya Juliani, Ni Kadek Kusuma, I Made Juwan Nugraha, I Dewa Made Ari Praja Putra, I Komang Edi Perdana