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All Journal Jurnal Periodic Jurusan Kimia UNP Jurnal Pendidikan dan Pembelajaran Kimia (JPPK) JURNAL EKSAKTA PENDIDIKAN (JEP) JURNAL PENDIDIKAN TAMBUSAI Walisongo Journal of Chemistry Eksakta : Berkala Ilmiah Bidang MIPA Pelita Eksakta G-Tech : Jurnal Teknologi Terapan Journal of Educational Chemistry (JEC) Edukimia Entalpi Pendidikan Kimia Ekasakti Jurnal Penelitian dan Pengabdian (EJPP) SCIENCE : Jurnal Inovasi Pendidikan Matematika dan IPA IJCR (Indonesian Journal of Chemical Research) Jurnal Pijar MIPA Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) MASALIQ: Jurnal Pendidikan dan Sains Entalpi Pendidikan Kimia Jurnal Pengabdian Pada Masyarakat Chimica Didactica Acta : Journal of Chemistry and Chemistry Education Indonesian Journal of Chemical Science
Fajriah Azra
Universitas Negeri Padang
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WORKSHOP PEMANFAATAN AI UNTUK PENGEMBANGAN E-LKPD PADA PEMBELAJARAN DEEP LEARNING DI SMAN 1 PADANG SAGO: PKM Faizah Qurrata Aini; Fitri Amelia; Dwi Finna Syolendra; Nofri Yuhelman; Fauzana Gazali; Minda Azhar; Fajriah Azra; Yerimadesi; Andromeda; Miftahul Khair; Zonalia Fitriza; Suryelita; Viona Maharani; Achie Keylla; Munifa Mahdiah; Melati Wahyuni; Rifka Andani; Ayu Wulandari; Ulfa Autafia
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 5 No. 2 (2025): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2025
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v5i2.4764

Abstract

Kemajuan Artificial Intelligence (AI) dalam dunia pendidikan membuka peluang besar bagi guru untuk mengembangkan perangkat pembelajaran yang lebih inovatif, seperti Lembar Kerja Peserta Didik Elektronik (e-LKPD) yang interaktif, adaptif, dan personal. Namun, pemanfaatan AI masih menghadapi kendala berupa keterbatasan pemahaman, minimnya pelatihan, serta dukungan infrastruktur yang belum optimal. Workshop pemanfaatan AI di SMAN 1 Padang Sago, Kabupaten Padang Pariaman, diselenggarakan sebagai kegiatan pengabdian kepada masyarakat untuk meningkatkan kesiapan guru dalam mengintegrasikan AI ke dalam pengembangan bahan ajar berbasis deep learning. Kegiatan ini dilaksanakan melalui empat tahapan, yaitu persiapan, pelatihan pembuatan media pembelajaran berbasis AI, penyusunan modul ajar deep learning, serta pengembangan e-LKPD interaktif menggunakan Liveworksheet. Guru dibekali pemahaman etika penggunaan AI serta pemanfaatan platform seperti ChatGPT, Microsoft Word, dan Gamma.ai. Evaluasi pre-test dan post-test menunjukkan persepsi guru terhadap AI cenderung positif, meskipun terdapat penurunan pada kategori “sangat setuju” akibat kesadaran terhadap kompleksitas teknis, khususnya pada guru senior. Luaran kegiatan menunjukkan peningkatan keterampilan guru dalam merancang perangkat pembelajaran berbasis AI serta menghasilkan bahan ajar digital yang lebih interaktif, sekaligus mendukung penguatan ekosistem pembelajaran berbasis teknologi dan pencapaian IKU perguruan tinggi.
Molecular Docking of Quinoline-1,2,3-Triazole Derivatives as Potential Anti-Breast Cancer Agents Targeting Estrogen Receptor-α Putri, Aisyah; Azra, Fajriah
INDONESIAN JOURNAL OF CHEMICAL RESEARCH Vol. 11 No. 1 (2026): Volume 11, ISSUE 1, 2026
Publisher : Chemistry Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijcr.vol11.iss1.art14

Abstract

Breast cancer remains one of the leading causes of cancer-related morbidity and mortality among women worldwide. Estrogen Receptor Alpha (ER-α) is a key regulator of ER-positive breast cancer cell proliferation and represents an important target for anticancer drug development. This study evaluated the potential of quinoline-1,2,3-triazole derivatives as ER-α inhibitors using an in silico approach. Fifteen compounds were analyzed through molecular docking against ER-α (PDB ID: 3ERT) using MOE software. Docking validation confirmed the reliability of the protocol with an acceptable RMSD value. All compounds exhibited favorable binding within the active site of ER-α. Among them, compound 5h showed the strongest binding affinity with a docking score of −12.76 kcal/mol, surpassing that of the native ligand.  Interaction analysis revealed the involvement of important amino acid residues, including Glu353, Arg394, Leu387, and Met421. ADMET prediction indicated favorable pharmacokinetic properties. These findings suggest that quinoline-1,2,3-triazole derivatives have potential as anti-breast cancer agents targeting ER-α.
In Silico Study of Imidazole-Morpholine-1,2,4-Oxadiazole Derivatives as Candidate Breast Cancer Drugs via Molecular Docking Targeting ER-α, ADMET Analysis and Drug-Likeness Assessment Herman, Mega Silpika Herman; Azra, Fajriah
INDONESIAN JOURNAL OF CHEMICAL RESEARCH Vol. 11 No. 1 (2026): Volume 11, ISSUE 1, 2026
Publisher : Chemistry Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijcr.vol11.iss1.art15

Abstract

Breast cancer is one of the leading causes of death among women worldwide. One of the causes of breast cancer is the overexpression of estrogen receptor alpha (Erα). Imidazole-morpholine-1,2,4-oxadiazole derivatives have been reported to exhibit cytotoxic activity against MCF-7 cells; however, their interaction with Erα has not yet been studied. This study aims to evaluate the potential of an imidazole-morpholine-1,2,4-oxadiazole derivative as a candidate anti-breast cancer drug using an in silico approach targeting Erα through molecular docking, as well as to predict the pharmacokinetic properties and toxicity of the compound using ADMET analysis. Molecular docking was performed using MOE 2019.0102 software with the Erα receptor (PDB: 3ERT), while ADMET predictions were conducted using pkCSM and swissADME software. The molecular docking results showed that the tested compounds exhibited good binding affinity for the target Erα receptor, specifically compound 7f, with a binding energy of -7.43 kcal/mol and an RMSD of 1.8 Å. Although compound 7f has a higher binding energy than tamoxifen, it still exhibits stable interactions at the active site of the ERα receptor, specifically with Leu346 and Glu353. Furthermore, the ADMET results indicate that compound 7f meets the criteria for drug candidacy based on Lipinski’s rules and ADMET predictions. However, it has drawbacks such as low permeability in Caco-2 cells, as well as being a P-gp substrate and exhibiting positive Ames toxicity and hepatotoxicity. Therefore, further experimental optimization and validation through in vitro or in vivo studies are necessary to improve the drug’s distribution and safety before proceeding with further development.
Co-Authors Achie Keylla Ahmad Raisan R.P Aisyah Putri, Aisyah Ananda Putra Andromeda Andromeda Andromeda Anisa Pradila Annisa Ade Putri Annisa Annisa Annisa Khairani Putri Asmiyunda Asmiyunda Aulia, Diva Aura, Selfi Monica Ayu Wulandari Azzahra, Siti Batri, Vani Mayfi Bayharti . Bayharti Bayharti Budhi Oktavia Cici Nur Awida Della Rezkyta Amanda Devi, Novi Arnita Dinda Purnama Kristy Dwi Finna Syolendra Edi Nasra Elfa Hayati Fadhillah, Trisa Faizah Qurrata Aini Fauzana Gazali Fitri Amelia Guspatni Guspatni Halizah, Wardah Hardeli - Hardeli Hardeli Herman, Mega Silpika Herman Indang Dewata Intan Nadya Istiva Depiyahani Jelita, Nabilah Putri Kristy, Dinda Purnama M. Iqbal S.G Ma'ruf, Hanif Sabawi Malinda, Tasya Mardani, Meri Aulia Maulidiana, Cindy Vikem Melati Wahyuni Meri Aulia Mardani Miftahul Khair Minda Azhar Minda Azhar Mirella Fonda Maahury Muhammad Chandra Munifa Mahdiah Nadya UP Nagmah Putri Dinda Toni Nesha Putri Adi Nofri Yuhelman Norma Wahyunita Pera Meilita Pidiana, Dhea Putri Jelita, Nabilah Putri, Fitria Eka Qory Sidwa Jufri Rahadian Zainul ramadhan, muhammad_arvito Ramadhani, Fajri Randa Sagita Rifka Andani Riga Riga Riri Wahyuni Robiatul Adawiyah Sagita, Randa Sari, Trisna Kumala Selfi Monica Aura Septya Anggraini Shelvy WA Silvinia Humaira Silvira Rahmi Suryelita Suryelita . Syafriadi, Riko Syamsi Aini Tessa Faradilla Ulfa Autafia Umar Kalmar Nizar Vani Mayfi Batri Viona Maharani Yeri Mardesi Yerimadesi Zonalia Fitriza