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Pada Lumba
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Engineering

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Trial of Utilization of Biogas from Palm Oil Mill Effluent on Household Gas Burner Purwo Subekti; Defidelwina; Ikhsan Gunawan; Heffi Christya Rahayu; Pada Lumba; Yuliana Susanti; Laily Fitriana; Budi Irwansyah; Januar Kaswari
Aptek Jurnal Apliksai Teknologi (APTEK): Volume 15, No. 02, Juni 2023
Publisher : Fakultas Teknik Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/aptek.v15i2.1933

Abstract

The utilization of biogas produced from the liquid left over from palm oil mill enffluent (POME) needs to be increased, so far the use of biogas from POME for large-scale is new for the purpose of fueling power plant generators (PLTBg). Another increase in the use of biogas is among others as fuel for household-scale gas burner. The trial was carried out by utilizing biogas from the PLTBg purification unit and modifying commercial gas burner. Based on the results of trials, the flame produced is blue and can be used for cooking as the color of the fire from a stove that uses commercial gas. These results prove that apart from being PLTBg fuel, biogas from POME can be used as fuel for domestic purposes and possibly as fuel for other purposes.
Educational Background Factors on Motor Vehicle Accident; Analysis Using a Structural Equation Modeling Pada Lumba
Aptek Vol. 18 No. 2 (2026): Jurnal Apliksai Teknologi (APTEK): Volume 18, No. 02, Juni 2026
Publisher : Fakultas Teknik Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research focuses on the impact of human, road and environmental as well as vehicles factors on the risk of accidents in driver of motor vehicle. The study is located in Indonesia. The data were collected by distributing questionnaires through social media. The number of respondents in this study consist of 260 drivers of motor vehicle with 87 respondents from senior high school (SMA) educated and below, 100 respondents from undergraduate (S1) educated and 73 respondents from postgraduate (S2) educated. The data were analyzed using Structural Equation Modeling (SEM). Key finding in this study related to indicator of latent variable is driver experience. All group (SMA, S1 and S2) in this study show indicated that driver experience indicator influence the latent variables driving performance and latent variables risky driving behavior. In addition to, the smaller value of R square of the model, the higher educational background of motor vehicle drivers. This shows that there is a relationship between the educational background of drivers and the road accidents occurance. Meaning that the higher educational background of drivers, the smaller the risk of road accidents occurance of drivers.
Co-Authors Budi Irwansyah Defidelwina Ikhsan Gunawan Januar Kaswari Laily Fitriana Purwo Subekti Yuliana Susanti