Pelatihan Guru SMA: Identifikasi Potensi Rempah dan Jamu secara In Silico
Abstract
Peningkatan pengetahuan agroindustri jamu dan rempah sangatlah penting bagi masyarakat madura. Pengabdian masyarakat yang dilaksanakan oleh prodi TIP adalah pelatiahan penggunaan softwere berbasis web untuk identifikasi rempah dan jamu secara in silico kepada guru kimia dan biologi SMA di Kabupaten Pamekasan. Tujuannya untuk meningkatkan literasi digitalguru kimia dan biologi yang dapat mempermudah melakukan identifikasi potensi rempah dan jamu. Abdimas ini menggunakan metode pelatihan dan evaluasi kegiatan menggunakan kuesioner. Kegiatan abdimas ini sangat bermanfaat bagi guru kimia dan biologi karena dapat meningkatkan literasi digital dan dapat mempermudah melakukan identifikasi potensi rempah dan jamu dan secara umum para peserta pelatihan merasa puas dengan pelatihan ini baik dari topik, kompetensi narasumber, penyampaian materi, durasi materi maupun alat peraga pelatihan.
The increasing knowledge of the herbs and spices agroindustry is very important for the people of Madura. In response, the TIP study program conducted a community service through training on web-based software in silico to identify the spices and herbs for high school chemistry and biology teachers in Pamekasan Regency. Its goal is to increase the digital literacy of chemistry and biology teachers to simplify the identification of potential spices and herbs. The training and evaluation based on questionnaires are used as the method. This ABDIMAS is very useful for chemistry and biology teachers since it improves digital literacy and makes identifying the potential of spices and herbs easier. In general, the trainees are satisfied with the topic, the resource person's competence, the material's delivery, the material's duration, and the training aids provided in this event.
References
Amparo, Tatiane R., Janaína B. Seibert, Tamires C. Almeida, Fernanda S. F. Costa, Benila M. Silveira, Glenda N. Silva, Orlando D. H. Santos, and Gustavo H. B. Souza (2021). In Silico Approach of Secondary Metabolites from Brazilian Herbal Medicines to Search for Potential Drugs against SARS‐CoV ‐2. Phytotherapy Research 35, 8, 4297–4308. https://doi.org/10.1002/ptr.7097.
Bahruddin, A., Zaka, U., Sholah, Mudarris, & Aziz, A. (2021). Pemanfaatan dan Prospek Budidaya Cabe Jamu di Dusun Nung Malaka Desa Daleman Kecamatan Galis Kabupaten Bangkalan. Jurnal Pengabdian Masyarakat, 1(2), 108–126.
Cahyono, B, Hasanah, EF, Judiono, Suzery, M & Widayat (2019). Analysis of piperine content in cabe jawa extracts (Piper retrofractum Vahl) using UV spectrophotometry and HPLC. Conf. Series: Materials Science and Engineering, 509, 012025.
Das, K.K. Ratha, S. Dutta, D. Mondal, & J. Hazra, (2017) Comparative pharmacognostical, phytochemical and HPLC study of some common medicinal piper species, Int. J. Res. Ayurveda Pharm. 7 (6). 19–24
Emon, N.U., Alam, S., & Rudra, S. (2022). Evaluation of pharmacological potentials of the aerial part of Achyranthes aspera L.: in vivo, in vitro and in silico approaches. ADV TRADIT MED (ADTM), 22, 141–154 https://doi.org/10.1007/s13596-020-00528-5
Filimonov, D.A., Lagunin, A.A., & Gloriozova, T.A. (2014). Prediction of the Biological Activity Spectra of Organic Compounds Using the Pass Online Web Resource. Chem Heterocycl Comp, 50, 444–457. https://doi.org/10.1007/s10593-014-1496-1
Kemendikbud Ristek. (2021). Panduan Pengembangan Projek Penguatan Profil Pelajar Pancasila. Kementerian Pendidikan Dan Kebudayaan, 1–108.
Lipinski, C. A. (2000). Drug-like properties and the causes of poor solubility and poor permeability. J. Pharmacol. Toxicol. Methods, 44, 1, 235–249.
Mudjijono, Herawati, I., Munawaroh, S. & Sukari (2014). Kearifan Lokal Orang Madura
Tentang Jamu untuk Kesehatan Ibu dan Anak. Yogyakarta: Balai Pelestarian Nilai Budaya
Rivero-Segura, Nadia A., & Gomez-Verjan, J.C (2021). In Silico Screening of Natural Products Isolated from Mexican Herbal Medicines against COVID-19. Biomolecules 11, 2, 216. https://doi.org/10.3390/biom11020216.
Sulastri, B. A., Adiba, E. M., & Suaibah, L. (2022). Pengaruh Label Halal terhadap Pendapatan Agroindustri Obat Tradisional dan Tanaman Rempah di Madura. Jurnal Ekonomi Dan Bisnis, 3(2), 99–108.
Waris, M., Engin, K., Gonulalan, E.M., Demirezer, L.O., Kır, S., & Nemutlu, E. (2022). Metabolomics Analysis Insight into Medicinal Plant Science. TrAC Trends in Analytical Chemistry, 157, 116795. https://doi.org/10.1016/j.trac.2022.116795.
Weber, T., & Kim, H.U (2016). The secondary metabolite bioinformatics portal: Computational tools to facilitate synthetic biology of secondary metabolite production, Synthetic and Systems Biotechnology, 1, 69–79.
Wijaya, S. H., Husnawati, H., Afendi, F.M., Batubara, I., Darusman, L.K., Md. Altaf-Ul-Amin, T.S, Naoaki, O., Tadao, S., & Shigehiko Kanaya (2014). Supervised Clustering Based on DPClusO: Prediction of Plant-Disease Relations Using Jamu Formulas of KNApSAcK Database. BioMed Research International, 1–15. https://doi.org/10.1155/2014/831751.
Zhu, F, Li, X, Yang, S, & Chen, Y (2018). Clinical success of drug targets prospectively predicted by in silico study, Trends Pharmacol. Sci., 39, 229-231.
