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All Journal International Journal of Language Teaching and Education Indenesian Journal of Tropical Biology Indenesian Journal of Tropical Biology
Kholidi, Muh. Azhar
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences

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Comparison of Antibacterial Activity and Physicochemical Characteristics of Vco (Virgin Coconut Oil) With Different Manufacturing Methods Hadi, Hana Safitri Putri; Sarkono; Kusuma, A.A. Ngurah Nara; Kholidi, Muh. Azhar
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.279

Abstract

Cocos nucifera is an important plantation commodity in Indonesia with high economic value and considerable potential for the development of value-added products, including Virgin Coconut Oil. This study aimed to compare the physicochemical characteristics and antibacterial activity of VCO produced using heating, fermentation, and enzymatic methods. The research was conducted experimentally from June to August 2024 at the Advanced Biology Laboratory, Faculty of Mathematics and Natural Sciences, University of Mataram. VCO samples were evaluated through organoleptic tests and physicochemical analyses, including yield, moisture content, peroxide value, and free fatty acid content. Antibacterial activity was tested against Staphylococcus aureus and Escherichia coli using the disk diffusion method. The results showed that all VCO samples generally met Indonesian National Standard quality requirements, except for free fatty acid content in some treatments. The fermentation method produced the highest yield (31.88%), while the heating method resulted in the best overall quality, characterized by 0% moisture content, 0 mg Eq/kg peroxide value, and the highest organoleptic acceptance. All VCO samples exhibited antibacterial activity, although the inhibition zones were categorized as weak. The findings indicate that the heating method is the most suitable for producing high-quality VCO with antibacterial potential.
Comparison of Antibacterial Activity and Physicochemical Characteristics of Vco (Virgin Coconut Oil) With Different Manufacturing Methods Hadi, Hana Safitri Putri; Sarkono; Kusuma, A.A. Ngurah Nara; Kholidi, Muh. Azhar
Indonesian Journal of Tropical Biology Vol. 2 No. 1 (2026): April
Publisher : Yayasan Siti Widhatul Faeha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65622/ijtb.v2i1.279

Abstract

Cocos nucifera is an important plantation commodity in Indonesia with high economic value and considerable potential for the development of value-added products, including Virgin Coconut Oil. This study aimed to compare the physicochemical characteristics and antibacterial activity of VCO produced using heating, fermentation, and enzymatic methods. The research was conducted experimentally from June to August 2024 at the Advanced Biology Laboratory, Faculty of Mathematics and Natural Sciences, University of Mataram. VCO samples were evaluated through organoleptic tests and physicochemical analyses, including yield, moisture content, peroxide value, and free fatty acid content. Antibacterial activity was tested against Staphylococcus aureus and Escherichia coli using the disk diffusion method. The results showed that all VCO samples generally met Indonesian National Standard quality requirements, except for free fatty acid content in some treatments. The fermentation method produced the highest yield (31.88%), while the heating method resulted in the best overall quality, characterized by 0% moisture content, 0 mg Eq/kg peroxide value, and the highest organoleptic acceptance. All VCO samples exhibited antibacterial activity, although the inhibition zones were categorized as weak. The findings indicate that the heating method is the most suitable for producing high-quality VCO with antibacterial potential.
Exploring Teacher Educators’ Self-Assessment of AI-Assisted Writing:: A Case Study in Eastern Indonesian Universities Suciwati, Ika; Kholidi, Muh. Azhar; Ramadhani, Suciaty; Anggeraini, Nining; Rofikah, Ummu; Pardani, Sulastri
International Journal of Language Teaching and Education Vol. 10 No. 2 (2026): International Journal of Language Teaching and Education
Publisher : Universitas Jambi, Magister Program of English Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ijolte.v10i2.57808

Abstract

This study attempts to explore how English as a Foreign Language (EFL) teacher educators perceive the impact of artificial intelligence (AI)-assisted writing on their academic writing practices, with a focus on self-assessment. Using a qualitative case study, semi-structured interviews were conducted with six early-career lecturers from universities in Eastern Indonesia who actively use AI-assisted writing tools such as ChatGPT, Grammarly, and QuillBot. The findings show that AI enhances linguistic accuracy, coherence, writing efficiency, and confidence by providing immediate feedback and supporting independent revision. At the same time, participants expressed concerns about overreliance, creativity loss, and authorship, leading them to regulate AI use critically and reflectively. The findings also highlight contextual challenges related to institutional support, digital infrastructure, and unequal access to AI resources, alongside expectations for more integrated AI applications. This study contributes to the growing literature by extending the discussion beyond AI adoption to teachers' self-assessment, explaining how AI builds writing confidence through greater writing autonomy, and providing qualitative evidence from the underexplored context of Eastern Indonesia. The findings offer practical implications for teacher professional development and the responsible integration of AI in higher education.
Co-Authors Hadi, Hana Safitri Putri Ika Suciwati Kusuma, A.A. Ngurah Nara Nining Anggeraini Pardani, Sulastri Ramadhani, Suciaty Rofikah, Ummu