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All Journal Rekayasa Mesin Jurnal Penelitian Pendidikan IPA (JPPIPA)
Siregar, Batumahadi
Department Of Mechanical Engineering Education, Universitas Negeri Medan, Medan, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Mechanical Engineering Physics

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THERMAL CONDUCTIVITY OF PARTITION BOARD BY POLYMER COMPOSITE WITH FILLER EMPTY FRIUT BUNCHES FIBRES Batumahadi Siregar; Banu Nursanni; Sapitri Januariyansah; Sutrisno Sutrisno; Kinanti Wijaya
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1263

Abstract

Utilization and management of Empty Fruit Bunches (EFB) fibre continue to develop as the main ingredient and additional material used in various industrial products. The technological breakthrough targeted in this study is the developed EFB fibre as a filler in polymer composite partition boards which are used as heat retainers in the interior construction of buildings. The partition board is a heat insulator, and its thermal conductivity is affected by mass density and porosity. The purpose of this study was to determine the heat resistance of partition board products to reduce the heat entering the room from outside by propagating through walls exposed to direct sunlight. The test method used is adopted from ASTM C177-13, namely the measurement of heat propagation with a modification of the heat source of 40 watts. In addition, mass density tests (referring to SNI 03-2105-2006) and water absorption (referring to ASTM D5229M-12) were also carried out on the product. The specimens were based on the formation of Singapore Highpolymer Chemical Product (SHCP) 2667 WNC polyester resin matrix partition board with weight fractions of 25%, 30%, and 35% chop strand mat (CSM). The test results show that the highest thermal conductivity value is found on the board with a weight fraction of 25%, namely 0.153 W/m.°C with a mass density of 1.16 g/cm3 and a water absorption capacity of 3.38%. However, the lowest thermal conductivity value was found in the fibre with weight fraction of 35%, namely 0.147 W/m. °C at a mass density of 1.24 g/cm3 and a water absorption capacity of 3.75%.
Construct Analysis of AMDA Model Syntax Using the Structural Equation Modeling-Partial Least Square (SEM-PLS) Method Sutrisno; Batumahadi Siregar; Riansyah Putra; Nikmat Akmal
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.9041

Abstract

When a building is damaged by an earthquake, it's essential to assess its safety. The AMDA model is the result of the stages of developing a competency-based training model for Post-Earthquake Building Investigation which is designed to make someone competent in this matter. The construct of a development model needs to be tested for validity, reliability and evaluation of the construct or structural model of the syntax of the model being built. Each syntax is confirmed or tested through the value of loadings factor, Average Variance Extracted (AVE) and composite reliability. Next, the influence between variables is analyzed or the structural model or construct (Inner Model) is evaluated. Construct evaluation can be seen from the value of R2 (R-square) between 0 and 1 (0<R2<1), the greater the value and closer to 1, the greater the influence of syntax on the model. The test was carried out using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method. The results obtained were loading factor values>0.7, meaning the indicators used in the syntax were valid, AVE>0.5 meaning the syntax was valid, composite reliability value>0, 7 means the syntax is reliable and the value of R2=0.963, a significant influence of the syntax on the model
Co-Authors Banu Nursanni Januariyansah, Sapitri Kinanti Wijaya Nikmat Akmal Purba, Dedy Saputra Putra, Riansyah Sutrisno Sutrisno Sutrisno