Journal
THE FORMULATION OF PEEL-OFF MASK FROM THE ETHANOL EXTRACT OF BILIMBI LEAVES (Averrhoa blimbi L.) AS ANTI-ACNE TREATMENT
Lantanida Journal · Vol. 9 No. 1 (2021) · pp. 13–24
- ISSN
- 2548-9062, 2356-3133
- Published
- 2021-07-20
- Publisher
- UIN AR-RANIRY
- Language
- eng
Abstract
This research aims to formulate and assess the efficacy of the peel-off mask as an anti-acne of ethanol extract from bilimbi leaves (Averrhoa bilimbi L.). The method used was an experiment, evaluating the extract through the inhibition test of Staphylococcus epidermis bacteria with the paper disk diffusion method. The peel-off mask formulation added the extract with a concentration of 7% (F1), 9% (F2), 11% (F3), and without using extract (F0). The Peel-off mask preparation testing includes the detection of scents, colours, irritation checks, and the determination of peel-off anti-acne mask efficacy. This study was carried out at Akafarma of Banda Aceh and the Chemistry laboratory of FKIP Unsyiah. The findings of the inhibition zone for Staphylococcus epidermis bacteria at extract concentrations of 100%, 75%, 50% and 25% were 15 mm, 12 mm, 11 mm and 10 mm, respectively. The four peel-off mask formulas were gel, homogeneous, brown, with the distinctive scent of bilimbi leaves, and did not irritate the volunteers’ skin. The average decline in acne before and after using the mask for any formula (F0, FI, FII, and FIII) was 19.64%, 22.63%, 28.75% and 50%, respectively. The peel-off mask of ethanol extract of bilimbi leaves (Averrhoa bilimbi L.) is effective as an anti-acne treatment.
Keywords
Collaboration network of the authors
40 authors · 83 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Indonesian Institute of Sciences
- Universitas Airlangga
- Sunan Gunung Djati State Islamic University Bandung
- Universitas Halu Oleo
- Politeknik Negeri Banyuwangi
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Widya Sari | Affiliation unknown | 3 |
| Shofiyatul Mas’udah | Indonesian Institute of Sciences | 2 |
| Ernita Silviana | Affiliation unknown | 2 |
| Juraidi Juraidi | Affiliation unknown | 1 |
| Ellys Lestari Pambayun | Affiliation unknown | 1 |
| Retno Kartini Savitaningrum Imansah | Affiliation unknown | 1 |
| Kartono Kartono | Universitas Airlangga | 1 |
| Endang Retno Winarti | Affiliation unknown | 1 |
| Fahrullah Fahrullah | Affiliation unknown | 1 |
| Dedy Mirwansyah | Affiliation unknown | 1 |
| Muhammad Azmi Khairullah | Affiliation unknown | 1 |
| Hermansyah Hermansyah | Affiliation unknown | 1 |
| Abdul Hadi Mahmud | Affiliation unknown | 1 |
| Ashvia Nur Ilyosa | Affiliation unknown | 1 |
| Eka Safitri | Affiliation unknown | 1 |
| Fajar Dini | Affiliation unknown | 1 |
| Nanda Khirna | Affiliation unknown | 1 |
| Ulil Hasri Desfiana | Affiliation unknown | 1 |
| Masykur Masykur | Affiliation unknown | 1 |
| Farah Adhilla | Affiliation unknown | 1 |
| Rojatul Maisarah | Affiliation unknown | 1 |
| Nurbayani Nurbayani | Affiliation unknown | 1 |
| Nurbayani Ali | Affiliation unknown | 1 |
| Maimun Sari | Affiliation unknown | 1 |
| Rifa Safira | Affiliation unknown | 1 |
| Dewi Sartika | Sunan Gunung Djati State Islamic University Bandung | 1 |
| Hardiana Hardiana | Affiliation unknown | 1 |
| Yuni Dewi Safrida | Affiliation unknown | 1 |
| Raihanaton Raihanaton | Affiliation unknown | 1 |
| Selvia Maulidda | Affiliation unknown | 1 |
| Achmad Rosidi | Politeknik Negeri Banyuwangi | 1 |
| Reslawati Reslawati | Affiliation unknown | 1 |
| Abdul Jamil Wahab | Affiliation unknown | 1 |
| Muhammad Amir | Universitas Halu Oleo | 1 |
| Amiripana Amiripana | Affiliation unknown | 1 |
| Retno Riyaningtyas | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.