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Broken Road Detection Methods Comparison: A Literature Survey Indra Yustiana; Somantri; Dudih Gustian; Anggy Pradifta Junfithrana; Satish Kumar Damodar
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.75

Abstract

Roads are infrastructure built to facilitate regional development. Good road conditions will certainly provide a sense of comfort for every vehicle that will pass through it. For that, care and attention to road conditions needs to be done. The occurrence of damage to the road will hinder the development process. Currently, detection of damaged roads is still done manually using human resource. It makes the detection process take quite a lot of time to determine how bad the damage is. So there needs a way to help improve time efficiency and accuracy in detecting damaged roads. One of them is by utilizing machine learning technology. In this paper, we will discuss what methodology can be use and their comparisons to be able to use appropriate and effective methodologies to detect cases of damaged roads
STRUCTURAL ANALYSIS OF WASTE SEPARATION MACHINE FRAME USING FEA METHOD Fathur Rohman; Dani Mardiyana; Fabrobi Ridha; Satish Kumar Damodar
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 6 No. 1 (2023): May 2023
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v6i1.80

Abstract

Waste has become a significant problem that requires significant management. Automatic waste separator machine technology has been developed by many countries to help with waste management efficiency. The working principle of the automatic waste separator is to separate the types of organic and non-organic waste. In making the machine frame, this must be taken into account carefully. Here the Autodesk Inventor 2021 application is used to analyze the strength of the frame of an automatic garbage separator. In the frame strength analysis simulation, the type of material used is ASTM A36 Steel with a U-shaped iron plate profile with a thickness of 6 mm. The total load on the frame is 284.5 kg. The static simulation results show that the maximum von misses stress is 138.285 MPa with a maximum displacement of 16.28 mm. while the value of safety factor is 1.4 ul. Based on the results of the simulation analysis, the value of the safety factor is included in the value range (1.25 -2.0) and the value of von misses ≤ 200 MPa (Modulus of elasticity) for ASTM A36 material, which means that the frame design for the waste separator machine meets good safety standards.
Design and Fabrication of Waste Destroying Incinerators for PT. Kujang Sakti Siliwangi Somantri; Anggy Pradiftha Junfithrana; Dani Mardiyana; Satish Kumar Damodar
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 1 (2024): Mei 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i1.99

Abstract

The rest of Cisaat Market's waste cannot be recycled by PT. Kujang Sakti Siliwangi is 2.4 tons per day while the Cimenteng TPA is almost over capacity. This causes market waste to increasingly accumulate, so a solution is needed, namely destroying waste using incinerators. The incinerator was designed using the ISO mechanical engineering drawing method using Autodesk Inventor software. The fabrication process uses methods of cutting material, welding, assembling/installing components, and painting all incinerator components. The test results are very satisfactory and the incinerator is suitable for operation because it is below the threshold according to Minister of Environment and Forestry Regulation No. 70 of 2016 concerning quality standards for emissions from businesses and/or thermal waste processing activities. The results of the Total Particulate value were 44.79 mg/Nm3, Sulfur Dioxide (SO2) was 175.70 mg/Nm3, Nitrogen Oxides (NOx) was 213.80 mg/Nm3, Hydrogen Chloride (HCl) was 5.27 mg/Nm3 , Mercury (Hg) of 0.000267 mg/Nm3, Carbon Monoxide (CO) of 85.04 mg/Nm3, Hydrogen Fluoride (HF) of 0.06 mg/Nm3.