Sistem Informasi Sederhana untuk Identifikasi Gen Penyebab Penyakit
DOI:
https://doi.org/10.61132/saturnus.v4i1.1444Keywords:
Bioinformatics, Diseases, Genetic Databases, Genes, Information SystemsAbstract
The development of bioinformatics has led to the availability of large amounts of genetic data through public databases such as NCBI Gene, OMIM, and Ensembl. However, the complexity of data presentation and the dominance of English language hinder students, novice researchers, and the general public in understanding the relationship between genes and disease. This research aims to develop a simple web-based information system to identify disease-causing genes with concise, Indonesian-language, and user-friendly information presentation. The method used is Research and Development (R&D), which includes literature study, needs analysis, system design, implementation, testing, and evaluation. The system was developed using a MySQL relational database with a web interface that displays basic gene information, chromosome location, biological function, and gene-disease relationships, complete with simple visualizations. Black Box testing results indicate that all main functions run according to user requirements. This system is expected to improve bioinformatics literacy and become an effective learning medium.
References
Amukti, D. P., & Pratami, R. I. (2025). Analisis bioinformatika ekspresi MIER3 sebagai biomarker potensial dan target terapeutik pada kanker esofagus bioinformatics. https://doi.org/10.70410/jfg.v12i2.389
Aprijani, D. A., & Elfaizi, M. A. (2024). Perkembangan, disiplin ilmu dan penerapannya di Indonesia.
Astuti, F., Capritasari, R., Iskardyani, D., Alifiar, I., Irham, L. M., Majapahit, J., Adisutjipto, B. L., Magelang, U. M., Magelang, K., Tengah, J., Majapahit, J., Adisutjipto, B. L., Bakti, U., Husada, T., & Dahlan, U. A. (2023). Identifikasi variasi dan ekspresi gen pada stroke. 23, 9-19. https://doi.org/10.36465/jkbth.v23i1.1302
Azzahra, F., Wicaksono, A., & Nugraheni, T. P. (2024). Identifikasi variasi gen dan ekspresi gen yang berhubungan dengan kanker ovarium dengan pendekatan bioinformatika. 15(2), 77-83. https://doi.org/10.61902/cerata.v15i2.960
Bonnu, C. H. (2025). Potensi dan tantangan tanaman transgenik bagi ketahanan pangan Indonesia. 2045(105). https://doi.org/10.37149/jia.v10i2.1940
Budi, T., Krisnamurti, G. C., & To, N. (2023). Analisis bioinformatika NADH 2 sebagai penanda seleksi adaptif pesut perairan tawar dan pesisir. A bioinformatics analysis of the NADH 2 gene as adaptive selection marker of riverine and coastal Irrawaddy dolphins. 8(1), 30-39. https://doi.org/10.24002/biota.v8i1.5631
Donoghue, S. I. O. (2021). Grand challenges in bioinformatics data visualization. 1(June), 1-8. https://doi.org/10.3389/fbinf.2021.669186
Genus, F., Permadi, J., Sukmarani, D., & Barat, A. (2023). Analisis bioinformatik gen Cytb untuk menduga potensi domestikasi ikan mahseer genus Tor spp. 16(1), 146-151. https://doi.org/10.52046/agrikan.v16i1.1531
Mawardi, A., Aisoi, L. E., & Lefaan, P. N. (2018). Kloning dan analisis bioinformatika gen MSP1 Plasmodium falciparum isolat Kota Jayapura. 10(1), 1-10. https://doi.org/10.31957/jbp.126
Nastasya, R. (2025). Biokimia di era big data genomik: Tantangan, aplikasi, dan peluang inovasi.
Pranidhi, D., & Abimanto, D. (2023). Integrasi bioinformatika dan farmakogenomik untuk merancang terapi individualisasi pada pasien dengan resistensi obat tuberkulosis. 1(November). https://doi.org/10.59031/jnts.v1i4.781
Rizky, I. N., Prahasti, R., Selina, N., & Barus, R. (2025). Penggunaan algoritma komputasi untuk analisis sederhana data DNA dalam studi bioinformatika. 1-11.
Saraswati, H. (2017). Analisa bioinformatika gen E1 dan E2 dari virus hepatitis C (HCV) genotipe 1, 2, 3, dan 6 sebagai kandidat vaksin viral-like particles (VLP). Proses Pensejajaran (Alignment) Gen E1 dan.
Saudale, F. Z. (2020). Biokimia di era big data genomik: Tantangan, aplikasi, dan peluang inovasi. 1(November), 21-43.
Seprianto, & Wahyuni, F. D. (2018). Analisis bioinformatika gen potensial penyandi halichondrin B dari spons laut sebagai kandidat anti.
Sianu, R., Jannah, M., Mauri, A., L, P. A., N, E. Y., G, A. P., Kesehatan, F. I., Farmasi, P. S., Mohammad, U., Bukittinggi, N., & An, H. (2025). Identifikasi kandidat target obat ulcerative colitis (UC) menggunakan pendekatan bioinformatika menuju precision medicine. 8.
Supartono, B., & Noviantari, A. (2025). Discovering the miracle of stem cells. https://doi.org/10.55981/brin.1128.c1295
SUSANTI, S. (2025). Kebijakan perlindungan sumber daya genetik Indonesia dalam rezim kekayaan intelektual komunal berdasarkan TRIPS Agreement.
Sushanti, N. M., Adikusuma, W., & Puspitaningrum, A. N. (2023). Drug repurposing untuk rheumatoid arthritis melalui pemanfaatan data variasi genetik. Drug repurposing for rheumatoid arthritis through the utilization of genetic variation data. 8(2), 747-756. https://doi.org/10.37874/ms.v8i2.720
Wargasetia, T. L. (2023). Peran bioinformatika dalam bidang kedokteran Teresa Liliana Wargasetia. 59-72.
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