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International Journal of Advanced Multidisciplinary
ISSN : 28296184     EISSN : 28296192     DOI : https://doi.org/10.38035/ijam.v1i1
International Journal of Advanced Multidisciplinary (IJAM) is an international, peer reviewed, open access, scientific and scholarly journal which publishes Research papers, Review papers, Mini reviews, Case reports, Case studies, Short communications, Letters, Editorials, Books, Thesis, Dissertation works, etc., from all the aspects of Agricultural Science, Biological Science, Business, Chemical Science, Education Science, Engineering and Technology, Humanities, Life Science, Physical Science, Marine Science, Social science. After publishing, articles are freely available through online without any restrictions or any other subscriptions to researchers and readers worldwide.
Arjuna Subject : Umum - Umum
Articles 282 Documents
Extraction and GCMS Characterization of Chlorella vulgaris Microalgal Oil Using n-Hexane Assisted Dissolution Method Nur Aminah Rambe; Irvan Irvan; Bambang Trisakti
International Journal of Advanced Multidisciplinary Vol. 5 No. 1 (2026): International Journal of Advanced Multidisciplinary (April - June 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v5i1.2190

Abstract

Microalgae-based biodiesel has emerged as a promising third-generation biofuel feedstock, yet efficient downstream lipid recovery remains a critical­­ bottleneck. This study investigated the effectiveness of n-hexane-assisted dissolution in improving the recovery and homogeneity of microalgal oil extracted from Chlorella vulgaris biomass, and characterized the fatty acid methyl ester (FAME) composition of the recovered oil using Gas Chromatography-Mass Spectrometry (GC-MS). Two dissolution methods were evaluated: direct dissolution (Variation 1) and n-hexane-assisted dissolution (Variation 2), each at volumetric ratios of 1:4 and 1:2 (v/v). GC-MS analysis of the base microalgal oil identified nine FAME compounds with carbon chain lengths ranging from C15 to C21, with methyl nonadecanoate (C₁₉H₃₈O₂) as the dominant constituent at 50.63% of the total chromatographic area and a total methyl ester content of 93.23%. In Variation 1, total methyl ester content reached 67.41% (Sample A) and 80.70% (Sample B), with sediment formation observed in both samples. In contrast, Variation 2 achieved markedly higher total methyl ester contents of 98.40% (Sample 1) and 98.25% (Sample 2), with no sediment detected, indicating superior lipid dispersion and product homogeneity. The predominance of C17–C19 fatty acid methyl esters across all samples confirms the suitability of Chlorella vulgaris oil as a renewable biofuel feedstock. These results demonstrate that n-hexane-assisted dissolution is an effective strategy for enhancing microalgal oil recovery and highlight the critical role of solvent selection in downstream lipid processing for microalgae-based biofuel production.
The Effect of Training and Competence on Employee Performance With Work Motivation As A Mediation Variable At Bank Negara Indonesia, Jambi Branch T. Maharani Feriska; M. Zahari; Ali Akbar
International Journal of Advanced Multidisciplinary Vol. 5 No. 1 (2026): International Journal of Advanced Multidisciplinary (April - June 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v5i1.2200

Abstract

Facing the increasingly competitive banking industry, organizations are required to improve the quality of their human resources through effective training, competency development, and increased work motivation to achieve optimal performance. This study aims to analyze the effect of training and competency on employee performance, with work motivation as a mediating variable, at Bank Negara Indonesia's Jambi Branch. This study used a quantitative approach with a survey method. The population in this study was all 76 employees of Bank Negara Indonesia's Jambi Branch. Given the relatively small population, the entire population was used as the research sample. Data collection was conducted through questionnaires using a Likert scale. Data analysis used Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results showed that training had a positive and significant effect on employee work motivation and performance. Competence had a positive and significant effect on employee work motivation and performance. Work motivation had a positive and significant effect on employee performance. Furthermore, work motivation was proven to mediate the effect of training and competency on employee performance. These findings indicate that improving the quality of employee training and competency can increase work motivation, which ultimately impacts employee performance.

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