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All Journal Journal of Education Technology Information Social Sciences and Health TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Rifki Maulana
Universitas Singaperbangsa Karawang
Computer Science & IT Education Neuroscience Nursing Public Health

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The Effect of Material Variations on Discbrakes to Reduce the Heat that Occurs When Braking Using Transient Thermal Simulation Rifki Maulana; Deri Teguh Santoso Boni
Journal of Education Technology Information Social Sciences and Health Vol 3, No 2 (2024): September 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jetish.v3i2.3202

Abstract

Indonesia is one of the countries with the most accident statistics in Southeast Asia, where Indonesia is in fifth position. Where the number of traffic accidents in Indonesia, one of which is caused by brake failure, reaches 31%. Therefore, a reliable and good braking system is very necessary to maintain the safety of drivers of both two-wheeled and four-wheeled traffic vehicles. One of the components that plays a very important role in the braking system is the disc brake, and in this case the greater the heat produced, the smaller the braking effectiveness. So this research aims to find out with the existing variations, which one is better able to reduce the heat that occurs when braking takes place. The method used in this research is transient thermal simulation in Solidworks 2022 software, the disc brake diameter used is 180mm and the material variations used are AISI 304, AISI 1020, and Alloy 1060. The conductivity of each material is AISI 304 16W respectively. /m.K, AISI 1020 47W/m.K, and Alloy 1060 200W/m.K. The results obtained from simulations with AISI 304 material, minimum temperature of 1.995ºC, maximum temperature of 2.172ºC, AISI 1020 material, minimum temperature of.996ºC, maximum temperature of 2.185ºC, and for Alloy 1060 material, minimum temperature of 1.996ºC, maximum temperature of 2.224ºC. The conclusion obtained from this research is that materials that have high thermal conductivity values tend to be able to withstand temperatures better during braking
Analysis of material demand prediction using time series method to minimize PT XYZ Redpost data Rifki Maulana; Sutrisno; Naufal Rabbani Sumitra
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2367

Abstract

Inaccurate inventory management can lead to stockouts (RedPost) which disrupts the production process in manufacturing companies. This study aims to analyze material demand patterns and determine the most accurate forecasting method to minimize RedPost occurrences at PT XYZ. The method used is a quantitative approach with time series forecasting techniques, namely Double Exponential Smoothing (DES), Moving Average, and linear regression, using historical demand data for one year obtained through documentation and interviews. The results show that the Double Exponential Smoothing (DES) method provides the best level of accuracy with the lowest error value, namely MSE of 5312.426 compared to other methods. The characteristics of demand data that are non-stationary and tend to follow trend patterns make trend-based methods more appropriate to use than simple average methods. Thus, the application of the Double Exponential Smoothing (DES) method can help to reduce the risk of RedPost and improve efficiency and inventory management, as well as support more effective, measurable, and data-based operational decision making.
Co-Authors Deri Teguh Santoso Naufal Rabbani Sumitra Sutrisno