Article Per Year (5 Year)
p-Index From 2021 - 2026
2.096
P-Index
This Author published in this journals
All Journal SYUKUR (Jurnal Inovasi Sosial dan Pengabdian Masyarakat) EduReligia : Jurnal Pendidikan Agama Islam Jurnal Review Pendidikan dan Pengajaran (JRPP) Community Development Journal Jurnal Res Justitia : Jurnal Ilmu Hukum INDOPEDIA (Inovasi Pembelajaran dan Pendidikan) Jurnal Ekonomi Bisnis dan Kewirausahaan JADMENT: Journal of Administration and Development Jurnal PETISI (Pendidikan Teknologi Informasi) Indonesian Journal of Pharmacology and Therapy The Indonesian Journal of Health Science
Afkarina, Izza
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
PROFIL KEMAMPUAN LITERASI ANAK KELAS 3 SEKOLAH DASAR DI SURAKARTA Afkarina, Izza; Sutanto, Alfiani Vivi; Wiliyanto, Dian Atnantomi
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Special Issue Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.38802

Abstract

Keterampilan literasi di sekolah dasar menjadi langkah awal yang krusial untuk mencapai keberhasilan dalam proses pembelajaran yang produktif. Penelitian ini bertujuan untuk mendeskripsikan profil kemampuan literasi anak kelas 3 sekolah dasar di Surakarta dan faktor yang mempengaruhi peningkatan literasi. Penelitian ini menggunakan mixed methods dengan data kuantitatif dan kualitatif yang diperoleh melalui tes dan wawancara. Sampel penelitian terdiri dari 30 siswa yang dipilih menggunakan teknik quota sampling. Instrumen yang digunakan meliputi tes pemahaman membaca, penilaian menulis, dan pemeriksaan kemampuan mengeja. Teknik analisis data adalah analisis deskriptif kuantitatif dan kualitatif. Hasil penelitian menunjukkan bahwa kemampuan literasi siswa kelas 3 sekolah dasar di Surakarta didominasi pada kategori sedang berdasarkan dari penilaian pemahaman membaca, menulis, dan mengeja. Adapun faktor yang mempengaruhi literasi adalah strategi pengajaran guru, jenis bacaan, jenis tulisan, program literasi, dan ketersediaan fasilitas. Tantangan yang dihadapi guru dalam mengajar literasi yaitu kebiasaan siswa yang selalu di bimbing, kurangnya keterlibatan orang tua, perbedaan kemampuan kognitif siswa.
Network pharmacology approach to identifying optimal therapeutic targets in cancer drug discovery and development: Bibliometric analysis and scoping review Rovik, Anwar; Henra, Henra; Rahman, Farras Alifia; Afkarina, Izza; Conara, Flafiani Cios
Indonesian Journal of Pharmacology and Therapy Vol 7 No 1 (2026)
Publisher : Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada and Indonesian Pharmacologist Association or Ikatan Farmakologi Indonesia (IKAFARI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijpther.13076

Abstract

A rise in chronic diseases, including cancer, increasingly strains public health. While conventional drug discovery often focuses on single molecules, this method frequently fails to address complex diseases with multiple causes. Network pharmacology, a systems biology approach, provides a more complete understanding of disease mechanisms by analyzing intricate biological networks. By combining multi-omics data and computational models, network pharmacology helps identify new drug targets and cellular pathways. This approach is especially promising in cancer research, where it can reveal complex interactions between genes, proteins, and metabolites. This review explains the principles of network pharmacology and its use in cancer drug discovery. We cover the process, from network building and analysis to experimental testing. Additionally, we examine how network pharmacology can speed up the development of personalized cancer treatments.
Network pharmacology approach to identifying optimal therapeutic targets in cancer drug discovery and development: Bibliometric analysis and scoping review Rovik, Anwar; Henra, Henra; Rahman, Farras Alifia; Afkarina, Izza; Conara, Flafiani Cios
Indonesian Journal of Pharmacology and Therapy Vol 7 No 1 (2026)
Publisher : Faculty of Medicine, Public Health, and Nursing Universitas Gadjah Mada and Indonesian Pharmacologist Association or Ikatan Farmakologi Indonesia (IKAFARI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijpther.13076

Abstract

A rise in chronic diseases, including cancer, increasingly strains public health. While conventional drug discovery often focuses on single molecules, this method frequently fails to address complex diseases with multiple causes. Network pharmacology, a systems biology approach, provides a more complete understanding of disease mechanisms by analyzing intricate biological networks. By combining multi-omics data and computational models, network pharmacology helps identify new drug targets and cellular pathways. This approach is especially promising in cancer research, where it can reveal complex interactions between genes, proteins, and metabolites. This review explains the principles of network pharmacology and its use in cancer drug discovery. We cover the process, from network building and analysis to experimental testing. Additionally, we examine how network pharmacology can speed up the development of personalized cancer treatments.
Co-Authors ., Misrul AA Sudharmawan, AA Achmad Taufiq Aditya, Alif Fikri Bayu Aldio Firmanda, Bagus Aprilia, Puput Azzahra, Ivana Daffa Conara, Flafiani Cios Dian Atnantomi Wiliyanto, Dian Atnantomi Dian Ratna Elmaghfuroh Febriansyah, Jauhari Ahmad FH, Yuliana Habibullah, Fayyad Haryanti, Dwi Yunita Henra, Henra Junisa Silvia, Khofifah Kholilur Rahman, Kholilur Khumaidi Kuzairi, Untung Lukman Hakim M.E, Rusmini, Maghfiro, Audrey Amalia Shakira Maulana, Akbar Nur Cahyono , Dimas Puji Lestari, Devi Purwati, Diana Putri, Kristina Rahman, Farras Alifia Ramadhani , Nova Risma Rohmah, Nikmatur Rovik, Anwar Sari, Linda Savitri, Indah Sulastri Sulastri Susilaningtyas, Tri Sutanto, Alfiani Vivi SYAIFUR ROHMAN, SYAIFUR Zakiyah BZ