Judul: Assessment of Potential Flood Hazards Based on the Multi-Criteria Flood Hazard Index (FHI) Model (Case Study: Lower Bengawan Solo Watershed)
Abstrak: DAS Bengawan Solo Hilir merupakan wilayah yang kerap dilanda bencana banjir sehingga perlu dilakukan pemetaan potensi daerah bahaya banjir sebagai langkah awal penanggulangan. Penelitian ini bertujuan memetakan potensi daerah bahaya banjir di DAS Bengawan Solo Hilir dan mengetahui faktor yang memengaruhinya. Pemetaan ini dilakukan menggunakan Flood Hazard Index (FHI) dengan bobot Analytical Hierarchy Process (AHP), bobot efektif untuk analisis sensitivitas (FHIS), dan bobot sama (FHIW). Hasil menunjukkan bahwa intensitas hujan memiliki bobot AHP tertinggi sebesar 3,14. FHI memiliki rentang nilai 21,56−81,34 didominasi kelas bahaya sedang (26,43%), FHIS memiliki rentang nilai 22,93−94,73 didominasi kelas bahaya sedang (33,96%), dan FHIW memiliki rentang nilai 22,88−82,94 didominasi kelas bahaya sedang (37,59%). Potensi bahaya banjir kelas tinggi dan sangat tinggi berada di sepanjang aliran Sungai Bengawan Solo dan sebagian besar tersebar di Kabupaten Bojonegoro. Hasil validasi menunjukkan FHIW memiliki persentase validitas tertinggi yang mengindikasikan adanya human error ketika menentukan bobot AHP. Berdasarkan hasil tersebut dapat diketahui bahwa intensitas hujan merupakan faktor utama yang memengaruhi kejadian banjir di DAS Bengawan Solo Hilir dan pemetaan potensi bahaya banjir dapat direpresentasikan menggunakan metode FHI dengan proses pembobotan yang tepat., The Lower Bengawan Solo Watershed is prone to frequent flooding, necessitating the mapping of flood hazard areas as a crucial step in mitigation strategies. This study utilizes the Flood Hazard Index (FHI) with an Analytical Hierarchy Process (AHP) weight approach, effective weight for sensitivity analysis (FHIS), and equal weights (FHIW) to map potential flood hazard areas and identify influencing factors. Rain intensity is the most significant factor, with an AHP weight of 3,14. The FHI results range from 21,56−81,34, predominantly in the moderate hazard class (26,43%). FHIS values range from 22,93−94,73, with a dominance in the moderate hazard class (33,96%), while FHIW ranges from 22,88−82,94, predominantly in the moderate danger class (37,59%). High and very high flood hazard potentials are concentrated along the Bengawan Solo River, particularly in Bojonegoro Regency. Validation indicates that FHIW has the highest validity percentage, suggesting human error in determining AHP weights. In conclusion, rain intensity stands out as the primary factor influencing flood events in the Lower Bengawan Solo Watershed, and the FHI method, coupled with an appropriate weighting process, effectively represents the mapping of potential flood hazards.
Keyword: analytical hierarchy process, flood hazard index, flood hazard potency, lower bengawan solo watershed

Judul: Evaluasi Potensi Bahaya Banjir di DKI Jakarta  Menggunakan  Analisis  Multi-Kriteria  dan  Satelit  Berbasis  Flood  Hazard Index (FHI)
Abstrak: Floods are one of the most destructive and common natural disasters in the world. Globally, flood disasters have an increasing trend from year to year. In Indonesia istelf, the number of flood disasters from 2011 to 2020 was recorded at 7.574 cases which caused losses in several aspects of life. Losses caused by flooding include death, minor/severe injuries, missing persons, damage to houses, access roads, as well as education and health centers. Various methods have been applied as a preventive action for flood control. One of the methods commonly used to prevent flooding is creating water infiltration channels and cleaning rivers periodically from garbage. However, there is another approach that can be used, namely by making a flood hazard map based on the Flood Hazard Index (FHI). The FHI method is able to combine Geographic Information System (GIS) analysis with Multi Criteria Decision Analysis (MCDA) to obtain flood hazard maps. The MCDA technique used is Analytical Hierarchy Process (AHP) to determine the weight of the influence of factors on flood events. This study aims to obtain the level of flood hazard in DKI Jakarta and the most influential factors in causing flooding. In the analysis process, the seven factors that cause flooding in DKI Jakarta are defined, namely flow accumulation, distance from rivers, density of river networks, slopes, rainfall intensity, land cover, and geology. AHP analysis is used to obtain weighted scores, while GIS analysis is used to obtain scores. The value of weights and scores are combined to obtain FHI. Sensitivity analysis was then carried out to obtain the effective weights used in constructing the flood hazard index. The FHI map, FHI sensitivity (FHIS), and FHI equal weight (FHIW) were validated using the 2013 flood inundation map to find the index that best represents flood events in DKI Jakarta. The results of the analysis show that the FHIS index is best used to represent the flood hazard in DKI Jakarta (59%). Factors that influence in causing flooding are rainfall intensity, followed by land use, and slope. FHIS values have a pattern of high in the north and low in the south. This indicates that the northern region has a higher level of danger than the southern region. This phenomenon occurs due to the high intensity of rain in the northern part of Jakarta due to its location close to the Java Sea. In addition, the northern area of Jakarta is downstream of 13 rivers so it has a higher potential for flooding.
Keyword: AHP, PCI, resample, sensitivity, single-parameter analysis

Judul: Koksidiosis pada Sapi Disebabkan Eimeria Zuernii (Rivolta,1887)
Abstrak: Koksidia merupakan parasit intraseluler yang menyerang traktus digestiyus terutama bagian USUS. Penyebab penyakit ini adalah dari genus Eimeria. Koksidia yang paling patogen terhadap ternak sapi adalah Eimeria Ziuernii (Rivolta, 1887 dalam Todd dan Ernst, 1977). Siklus hidup Eimeria zuernii terdiri dari fase eksogen yang disebut juga dengan tahap sporogoni dan fase endogen yang terdiri dari tahap skizogoni dan tahap gametogoni (Soulsby, 1982).
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