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Optimasi Sizing Kolom Stripper Menggunakan Variasi Solvent dan Flow Rate Natural Gas Pada Aspen Hysys Furqon, Zami; Rizky A.P., Dimas Hardian; Setiyono, Agus
Jurnal Permadi : Perancangan, Manufaktur, Material dan Energi Vol 7 No 01 (2025): JURNAL PERMADI: PERANCANGAN, MANUFAKTUR, MATERIAL DAN ENERGI
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/permadi.v7i01.171

Abstract

This research was conducted to optimize changes in Stripper column sizing to variations in solvent and natural gas flow rate in the Acid Gas Removal Unit (AGRU) at PT. X. The aim of this research is to determine the optimal size of the Stripper column which can increase the efficiency of the acid gas removal process in natural gas streams. The methodology used includes experimental analysis and simulation using process modeling software. Several different types of solvents and variations in natural gas flow rates were tested to see their effect on the performance of the Stripper column. Based on the results of the hydraulic profile of the tray in the Stripper column with the MDEA solvent variation, it can be concluded that the tray operation is in a safe and efficient condition. The data shows that the % Jet Flood value is within the maximum range of up to 47.96% of all flow rate variations, which is far below the maximum specification limit of 100%. In the optimization results of the Sulfolane+MDEA variation, results were obtained where the operating point of the tray was at a balance point where no weeping occurred, because the optimized results were marked by the hydraulic graph plot point being above the weeping point line, so that no weeping occurred on the tray and no flooding occurred. because the maximum jet flooding % value of the three flow rate variations on the tray is 30.05%. This result is far from the maximum limit, which is 100%, so the column works in non-flooding conditions. The research results show that the optimal Stripper column size depends on the type of solvent used and the natural gas flow rate.
Analysis of Vehicle Emission Policies and Electric Vehicle Incentives on Air Pollution and Sustainable Transportation Use in Jakarta, Indonesia Judijanto, Loso; Nugroho, Budi Sulistiyo; Annasit, Annasit; Aulia, Haris Numan; Furqon, Zami
West Science Social and Humanities Studies Vol. 2 No. 06 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i06.975

Abstract

This research investigates the impact of vehicle emission policies and electric vehicle incentives on air pollution perceptions and sustainable transportation use in Jakarta, Indonesia. Through a quantitative analysis employing structural equation modeling, survey data from diverse stakeholders are analyzed to assess the relationships between key variables. Findings indicate significant associations between stringent vehicle emission policies, electric vehicle incentives, lower air pollution perceptions, and increased sustainable transportation use. These results underscore the importance of comprehensive policy measures in promoting environmental sustainability and fostering sustainable transportation practices in urban areas.
The Effect of Talent Management, Performance Incentives, and Recognition Programs on Employee Productivity in the Retail Industry in Central Java Nugroho, Budi Sulistiyo; Annasit, Annasit; Hamid, Farid Alfalaki; Furqon, Zami; Setyono, Agus
West Science Social and Humanities Studies Vol. 3 No. 01 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i01.1661

Abstract

This study investigates the effects of Talent Management, Performance Incentives, and Recognition Programs on Employee Productivity within the retail industry in Central Java, Indonesia. Utilizing a quantitative research design, data were collected from 210 employees using a 5-point Likert scale and analyzed with Structural Equation Modeling (SEM-PLS 3). The results reveal that Recognition Programs had the most significant effect on Employee Productivity, followed by Performance Incentives, and Talent Management. These findings indicate that non-monetary rewards such as employee recognition programs play a pivotal role in motivating employees and enhancing their performance. The study highlights the importance of integrating recognition efforts with performance incentives and talent management strategies to achieve optimal productivity. Practical recommendations are provided for retail companies in Central Java to enhance employee motivation and organizational effectiveness.