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All Journal The Journal of Experimental Life Sciences (JELS) Geo-Image Journal
Hikmawati, Viona Faiqoh
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Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Immunology & microbiology Medicine & Pharmacology Neuroscience

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Pemetaan dan Analisis Kerugian Daerah Terdampak Banjir Rob di Kecamatan Kraksaan, Probolinggo Semedi, Bambang; Rachmansyah, Arief; Marjono, Marjono; Yanuwiadi, Bagyo; Afandhi, Aminudin; Bayuaji, Gerardus David Ady Purnama; Syam's, Nova Dewi Safitri; Diza, Novia Fara; Safitri, Ni Luh Eka; Hikmawati, Viona Faiqoh
Geo-Image Journal Vol 12 No 2 (2023): Vol 12 No 2 (2023): Geo-Image : Spatial - Ecological - Regional
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v12i2.66807

Abstract

Pemukiman di wilayah pesisir Kecamatan Kraksaan, Probolinggo berbatasan langsung dengan Selat Madura dan berpotensi tinggi terdampak banjir rob karena pasang tinggi tertinggi menyebabkan sungai meluap. Penelitian ini bertujuan untuk: (1) mengetahui ketinggian genangan banjir rob dan luas area tergenang banjir rob, (2) mengetahui dampak genangan banjir rob terhadap keruskanan bangunan, (3) mengetahui estimasi kerugian bangunan akibat banjir rob. Pemetaan genangan banjir rob menggunakan metode Hloss memanfaatkan data DEM, data citra Sentinel-2A, dan data pasang surut. Perhitungan estimasi kerugian bangunan menggunakan metode Damage and Loss Assessment (DaLA). Hasil penelitian menunjukan bahwa tinggi genangan banjir rob tahun 2021 adalah 2.33 meter dengan kategori bahaya rendah seluas 17.55 ha, kategori bahaya sedang seluas 15,33 ha, kategori bahaya tinggi seluas 12.49 ha. Bangunan terdampak genangan banjir rob pada tahun 2021 kategori bahaya rendah sebanyak 794 unit, kategori bahaya sedang sebanyak 400 unit, kategori bahaya tinggi sebanyak 538 unit, dan total 1732 unit yang mengalami rusak ringan. Kerugian bangunan rumah permanen adalah Rp9,886,758,206, kerugian bangunan perdagangan dan jasa adalah Rp9,688,495,305, kerugian bangunan industri dan gudang Rp16,866,202,723, kerugian bangunan tempat ibadah adalah Rp121,355,451, dan kerugian bangunan kantor pemerintah adalah Rp227,541,470. Total kerugian bangunan terdampak genangan banjir rob di Kecamatan Kraksaan pada tahun 2021 adalah Rp36,790,353,155.
Virtual Prediction of The Effect Phenolic And Glucosinolate Compounds In Broccoli (Brassica Oleracea) On Anti-aging As Stimulant Nrf-2 Hikmawati, Viona Faiqoh; Alam, Fajar Mustika; Ainnayah, Jihan Shavira; Fatchiyah, Fatchiyah
The Journal of Experimental Life Science Vol. 10 No. 2 (2020)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2020.010.02.05

Abstract

Aging is caused by an imbalance between antioxidants and ROS. Nuclear Factor Erythroid 2-related factor 2 (Nrf2) is a transcription factor that regulates antioxidant genes. Under normal conditions, Nrf2 will bind keap1 and cause degradation of Nrf2. Nrf2 activation can be stimulated by secondary metabolites, such as glucosinolate (glucoraphanin and sulforaphane) and phenolic (kaempferol and quercetin) groups found in broccoli (Brassica oleracea). The purposes of this study were to analyze the interaction of the four compounds with Keap1 through molecular docking, to identify interactions that inhibit Keap1, and also to know the bioactivity scores, drug-likeness, and bioactivity prediction of each compound. The Nrf2-Keap1 protein (ID: 2FLU) structure was retrieved from the protein database, whereas the quercetin (CID: 5280343); kaempferol (CID: 5280863), sulforaphane (CID: 5350), and glucoraphanin (CID: 656556) were obtained from the PubChem Database. Molecular docking was done with HEX 8.0. The docking results were visualized with Discovery Studio 2020. Drug-likeness and bioactivity scores of the compounds were identified using mollinspiration. Prediction of bioactivity was carried out with PASS Online. The results showed that the binding energy of quercetin with Keap1 was -268.72 kcal.mol-1, and glucoraphanin with Keap1 was -318.01 kcal.mol-1. We found that quercetin from the phenolic group and glucoraphanin from the glucosinolate group had a strong interaction with Keap1, indicated by the number of interactions occurred and the smaller energy needed. Hence both compounds could inhibit the interaction of Keap1-Nrf2. Consequently, Nrf2 could transcribe antioxidant genes. The interaction between Keap1 and quercetin may play a role related to ROS reduction activities, such as enhancing HMOXI expression. This study indicates that quercetin has more potential in drug development as peroxidase inhibitors.Keyword: Aging, bioinformatic, glucoraphanin, keap1, quercetin
Co-Authors Ainnayah, Jihan Shavira Alam, Fajar Mustika Aminudin Afandhi Arief Rachmansyah Bagyo Yanuwiadi Bambang Semedi Bayuaji, Gerardus David Ady Purnama Diza, Novia Fara fatchiyah . Marjono Marjono Safitri, Ni Luh Eka Syam's, Nova Dewi Safitri