Judul: Identifikasi Penyebab Banjir di Pulau Jawa
Abstrak: Bencana banjir menjadi masalah serius dan kompleks yang sering terjadi di berbagai daerah di Pulau Jawa setiap tahunnya. Oleh karena itu perlu mengkaji faktor penyebab terjadinya bencana banjir di Pulau Jawa menggunakan data remote sensing. Proses identifikasi menggunakan metode deskriptif dari data yang telah diolah menggunakan aplikasi ArcGIS. Faktor penyebab banjir yang diidentifikasi yaitu curah hujan, topografi, penggunaan lahan, daerah aliran sungai, dan jenis tanah. Curah hujan yang mendominasi di Pulau Jawa sebesar >3000 mm/tahun dengan topografi yang sering dijumpai berupa dataran rendah dan landai. Penggunaan lahan yang mendominasi berupa sawah, perubahan penggunaan lahan paling besar ada pada pemukiman yang mengalami peningkatan, jenis tanah yang sering ditemukan berupa Dystric Fluvisols. Curah hujan yang paling banyak menyebabkan banjir di tahun 2019 yaitu 1501-2000 mm/tahun dan 2501-3000 mm /tahun pada tahun 2022. Kemiringan lahan yang paling banyak mengalami banjir ada di kelas kemiringan 0-8% dengan elevasi <250 mdpl. Perubahan lahan dari tambak menjadi sawah dan perkebunan menjadi pemukiman meningkatkan resiko terjadinya banjir. Jenis tanah Pellic Vertisols yang memiliki kecepatan infiltrasi rendah menyebabkan tingginya kejadian banjir., Flooding is a serious and complex problem that often occurs in various regions on the island of Java every year. Therefore, it is necessary to assess the causes of flooding in Java using remote sensing data. The identification process uses a descriptive method of data that has been processed using ArcGIS applications. The factors that cause flooding identified are rainfall, topography, land use, watershed, and soil type. Rainfall that dominates in Java is >3000 mm / year with topography that is often found in the form of lowlands and ramps. Land use dominates in the form of rice fields, the largest land use change is in settlements that have increased, the type of soil that is often found in the form of Dystric Fluvisols. The rainfall that caused the most flooding in 2019 was 1501-2000 mm/year and 2501-3000 mm/year in 2022. The most flooded land slopes are in slope class 0-8% with elevation <250 MASL. Changes in land from ponds to rice fields and plantations to settlements increase the risk of flooding. The type of Pellic Vertisols soil that has a low infiltration rate causes high flood events.
Keyword: Causes of Floods, Floods, Java Island

Judul: Analisis Potensi Rawan (Hazard) dan Resiko (Risk) Bencana Banjir dan Longsor (Studi Kasus Provinsi Jawa Barat)
Abstrak: Trend disaster in Indonesia has increased from year to year. Hydro-meteorological disasters such as floods, droughts, landslides, cyclones and tidal waves are the dominant type of disaster in Indonesia. Hydrometeorological disasters occurred on average almost 70% of total disaster in Indonesia. West Java Province is one of the areas that have a high potential for the occurrence of landslides. This is due to the topography of the hilly and mountainous regions, as well high population density which puts pressure on the ecosystem. The purpose of this study is to establish the methodology in determining the criteria forming floods and landslides, determine the distribution of the occurrence of potentially vulnerable hazard areas and risk of floods and landslides, as well as determine the suitability of spatial pattern in the spatial plan of West Java Province Year 2010-2030 against potential floods and landslides hazard in the province of West Java. Floods and landslides potential hazard models were constructed through spatial analysis (overlay) with scoring and weighting system of the 7 parameters used, namely: land use, rainfall, slope, elevation, landform, soil type and geology. The model risk of floods and landslides were constructed by integrating the hazard map with the analysis of vulnerability, which consists of the parameters road/ accessibility, infrastructure and land use, as well as the analysis of the element of risk, which consists of a number of density parameters population (people/km2), GDP, land use, and emergency preparedness or response. The results showed that the area of West Java which has the potential flood-prone high is 460.204 ha (12,5%) and very high is 507.274 ha (13,8%), with distribution locations in Bekasi, Cirebon, Indramayu, Karawang, Majalengka, Subang, Bandung City, Banjar City, Bekasi City, Bogor City, Cirebon City and Depok City. The area with the potential of landslide-prone high is 141.855 ha (3,9%) and very high is 14.895 ha (0,4%), with distribution locations in Bandung dan Garut. The results of field validation and data recapitulation incidence of floods and landslides in the field with BNPB data (2010-2012), show that the accuracy of a map resulting from the analysis of potential hazard and risk of flooding and landslides are quite high. The frequency of floods in the field occurs 88 times as much as the class of potential flood hazard areas of moderate to very high with a total of 115 times the incidence of flooding, or by 76.5% of the total flood. While the frequency of landslides in the field occurs 86 times in the classes as potential landslide hazard moderate to very high with a total of 113 times the incidence of landslides, or 76.1% of the total landslide. There are only 5 spatial pattern with the high suitability of the potential flood-prone high: LNH-Tsunami Hazard (97,6 %), KB-Forest (77,7 %), Municipality (90,3 %), Paddy Field (96,5 %), and KB-Water Body (76,7 %). And only 2 spatial pattern with the high suitability of the potential landslide-prone high: Conservation Forest (86,8 %) and Primary Forest (80,2 %).
Keyword: 

Judul: Pemurnian Rekombinan Eritropoietin Manusia (rhEPO) Menggunakan Kromatografi Afinitas Ni-NTA dan Co-Talon
Abstrak: Suitable and efficient techniques for purification of recombinant human erythropoietin (rhEPO) are required to obtain pure rhEPO which can be continued to preclinical trials step. One of these techniques is immobilized metal affinity chromatography (IMAC), which has advantages such as high selectivity, easy to elute, and simple procedure for column regeneration. At least, there are 2 kinds of commercial IMAC resin using nitriloacetic acid (NTA) matrix as chelating agent, namely nickel-based (Ni-NTA) and cobalt-based IMAC resin (Co-NTA), the latter is well known as Talon. This research studied the influence of metal ions Ni2+ and Co2+ in rhEPO purification. The results indicated that Ni- NTA had higher affinity in binding rhEPO protein compared with Co-Talon. Average total protein by Ni-NTA was 226.72 μg/mL and Co-Talon was 60.52 μg/mL, but the protein purity with Co-Talon was better than Ni-NTA. Base on protein yield that can be separated, Ni-NTA is more suitable to obtain high yield of rhEPO protein.
Keyword: