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All Journal Informatics and Software Engineering (ISE) Jurnal Polimesin
Faizi, Achmad
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Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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Physical property analysis of biodiesel from nyamplung and used cooking oil: density, viscosity, calorific value, and flash point Wahyudi, Wahyudi; Nadjib, Muhammad; Faizi, Achmad
Jurnal Polimesin Vol 22, No 2 (2024): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i2.4565

Abstract

The increasing dem and for energy and the depletion of fossil fuel shas led to the exploration of alternative fuels like biodiesel, which require sref inement tomatch diesel oil properties. This study investigates the combination of nyamplung oil, a non-edible potential source, with waste cooking oil for biodiesel production, aiming to improve its physical properties. Through a method ological approachin volving degumming, esterification, and transesterification, biodiesel was produce dfrom these oils in 11 different blend compositions. The physical properties of these blends, including density, viscosity, flashpoint, and calorific value, were rigorously tested. Results indicate that incorporating waste cooking oil into nyamplung biodiesel significantly reduces viscosity, density, and flashpoint while increasing the calorific value. Specifically, the addition of waste cooking oil altered the density from 912.74 kg/m³ in pure nyamplung biodiesel to 857.27 kg/m³, decreased the viscosity from 28.02 cStto 4.58 cSt, reduced the flash point from 223°C to 197°C, and increased the heating value from 7,626.59 cal/g to 8,348.94 cal/g.
Implementation of AIChatbots for Education and Introduction to Blockchain Products Saragih, Bento Sariando; Faizi, Achmad; Handayanna, Frisma
Informatics and Software Engineering Vol. 3 No. 2 (2025): December
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i2.525

Abstract

The development of information technology in the era of the Industrial Revolution 4.0 has encouraged service providers to continue to improve the quality of their digital services, including PT. Telkom Access through the MyIndiHome application. This application makes it easier for customers to access various services, but there are still complaints regarding features and ease of use. This study aims to analyze the sentiment of MyIndiHome application users using the Support Vector Machine (SVM) method to evaluate customer perception and satisfaction levels. The data collection method was carried out through Simple Classification Results (based on 70 respondents): Interviews with nine purposively selected informants, Distribution of questionnaires to 61 interview respondents of MyIndiHome application users, which were then analyzed using pre-processing and classification techniques to distinguish sentiment into positive and negative. The analysis results show that most users have a positive perception of the application, especially in terms of ease of reporting interruptions and the completeness of features. However, there are still obstacles to ease of use, especially for users less familiar with technology. The SVM method has proven effective in classifying user sentiment even with limited data. This study recommends improving the user interface and education features to optimize the overall use of the MyIndiHome application.  
Co-Authors Frisma Handayanna Muhammad Nadjib, Muhammad Saragih, Bento Sariando Wahyudi Wahyudi