RANCANG BANGUN MESIN CETAK ECO PAVING BLOCK PNEUMATIK BERBASIS LIMBAH PLASTIK

The escalating volume of plastic waste has become a critical environmental challenge, highlighting the need for innovative solutions to repurpose it into valuable construction materials. This study aimed to design and develop a pneumatic-based eco-paving block printing machine that uses plastic waste as its primary raw material. The research methodology encompassed the design and simulation of pneumatic circuits, structural analysis involving stress distribution, displacement, and factor of safety (FOS), and strength testing of the fabricated eco-paving blocks. The machine was equipped with a pneumatic cylinder measuring 80 × 75 mm, operating at a pressure of 6 bar and generating a maximum pressing force of 300 kg. The simulation results confirmed that the maximum stress and displacement remained within safe limits, with a minimum FOS of 8.4, thereby ensuring a stable and reliable design. Testing of the eco-paving blocks revealed compressive strengths ranging from 38 to 54 MPa, surpassing the requirements of the SNI 03-0691-1996 standard. This study demonstrates that a pneumatic-based eco-paving block printing machine effectively transforms plastic waste into high-quality construction materials compliant with national standards, offering a practical solution to the plastic waste crisis while promoting sustainability in the construction industry.

Authors

Publication Details

Journal
JTT (Jurnal Teknologi Terapan)
Published
2025-03-27
DOI
https://doi.org/10.31884/jtt.v11i1.715
Primary Topic
Waste Management and Recycling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RANCANG BANGUN MESIN CETAK ECO PAVING BLOCK PNEUMATIK BERBASIS LIMBAH PLASTIK

Sukroni Sukroni, Adi Kusmayadi, Yusup Nur Rohmat, Candra Irawan et al.
JTT (Jurnal Teknologi Terapan)
Waste Management and Recycling
article

RANCANG BANGUN MESIN CETAK ECO PAVING BLOCK PNEUMATIK BERBASIS LIMBAH PLASTIK

Sukroni Sukroni, Adi Kusmayadi, Yusup Nur Rohmat, Candra Irawan, Leo Van Gunawan, Muhamad Ghozali, Emin Haris, Arief Syaifurrahman
article en

Abstract

The escalating volume of plastic waste has become a critical environmental challenge, highlighting the need for innovative solutions to repurpose it into valuable construction materials. This study aimed to design and develop a pneumatic-based eco-paving block printing machine that uses plastic waste as its primary raw material. The research methodology encompassed the design and simulation of pneumatic circuits, structural analysis involving stress distribution, displacement, and factor of safety (FOS), and strength testing of the fabricated eco-paving blocks. The machine was equipped with a pneumatic cylinder measuring 80 × 75 mm, operating at a pressure of 6 bar and generating a maximum pressing force of 300 kg. The simulation results confirmed that the maximum stress and displacement remained within safe limits, with a minimum FOS of 8.4, thereby ensuring a stable and reliable design. Testing of the eco-paving blocks revealed compressive strengths ranging from 38 to 54 MPa, surpassing the requirements of the SNI 03-0691-1996 standard. This study demonstrates that a pneumatic-based eco-paving block printing machine effectively transforms plastic waste into high-quality construction materials compliant with national standards, offering a practical solution to the plastic waste crisis while promoting sustainability in the construction industry.

JTT (Jurnal Teknologi Terapan)Vol. 11(1)
Openalex Percentile: Top 83%
Waste Management and Recycling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.