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Optimization of Distillation Process for Scale-up Production of Lavender Essential Oil: A Literature Review Dwipa, Yusri Hajjo; Salsabila, Cheryl; ‘Azmi, Madah Ikrimatul; Sukmawati, Nani; Assyifa, Muhammad Zaky; Syauqillah, Ahmad; Fikroh, Retno Aliyatul
Hydrogen: Jurnal Kependidikan Kimia Vol 12, No 5 (2024): October 2024
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/hjkk.v12i5.12920

Abstract

Lavender essential oil being one of the most used essential oils. Oxygenated monoterpenes are the largest constituent of lavender essential oil and the determinant of the characteristic aroma produced. Lavender flowers are composed of several ingredients, such as essential oils, alpha-pinene, beta-myrcene, limonene, cineol, linalool, terpinine-4-ol, and linalyl acetate. The aim of this study is to develop an efficient, effective, and profitable method of lavender oil extraction that can be used for commercial scale production, in order to determine which method is most suitable for scale-up production. The method used in this study is literature review with the results of literature reviews conducted, the method with the highest percentage of essential oil components is the use of innovative methods such as extraction with the help of microwaves (MW) with the percentage of linalool (32.90%) linaly acetate (27%), extraction with the help of ultrasonic (AS) with the percentage of linalool (37.6% ), linalyl acetate (18.4%)., supercritical fluid extraction (SF) with linalool (24%), extraction, and negative pressure extraction (NPCE) with linalool percentage (27.18%) linaly acetate (25.23%). While the smallest percentage of essential oil components in the use of molecular distillation is the percentage of Linalool (4.56%), linaly acetate (12.78%). The originality of this research contribution can open the door for further research and wider practical applications.
FROM READINESS TO DESIGN: MAPPING PRE-SERVICE CHEMISTRY TEACHER’S INCLUSIVE COMPETENCIES WITH CHARLOTTE DANIELSON’S FRAMEWORK ‘Azmi, Madah Ikrimatul; Suprihatiningrum, Jamil; Wulayalin, Khafifah Aulia
INSECTA: Integrative Science Education and Teaching Activity Journal Vol. 6 No. 2 (2025)
Publisher : Science Education, Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/insecta.v6i2.12091

Abstract

This study examines the inclusive teaching readiness of pre-service chemistry teachers using Charlotte Danielson’s Framework for Teaching (FfT) as an analytic lens and as an entry point to Educational Design Research (EDR). Fifty participants from six Indonesian state universities were surveyed with a 22-indicator Likert instrument adapted from the FfT. The instrument showed good internal consistency (α = .87). Descriptive statistics and non-parametric tests were used to compare domains and explore variance. Results indicate high competencies in Planning & Preparation, Classroom Environment, and Instruction, while Professional Responsibility shows comparatively lower means and greater dispersion. Weakest indicators include adaptive assessment, inclusive/multimodal communication, and professionalism, suggesting both curricular gaps and unequal access to clinical experiences. Potential ceiling effects in planning signal the need for more sensitive, authentic indicators (e.g., project-based assessment across representations). We translate these findings into EDR design principles prioritizing (1) adaptive assessment, (2) multimodal communication, (3) mentoring and professional learning communities, and (4) accessibility audits for laboratory spaces. The study formulates EDR design principles emphasizing adaptive assessment, multimodal strategies, mentoring networks, and accessibility audits. Overall, this research operationalizes the Charlotte Danielson’s FfT in inclusive chemistry education, linking empirical measurement to practical design solutions and offering implications for curriculum reform and iterative EDR-based model development.