Flood is one of the most frequent hydrometeorological disasters which leads in economic losses. The first step in flood disaster mitigation efforts is mapping vulnerable areas. Kencong District frequently affected by the annual flooding event. This study aims to assess flood hazard mapping by integrating the AHP method and Geographic Information System. This study used a descriptive quantitative approach through the correlation matrix of the AHP model for each physical environmental factor. These factors include slope, altitude, distance from the river, soil type, Topographic Wetness Index (TWI), and Curvature. Furthermore, with the Geographic Information System (GIS), the weighted overlay stage was carried out to obtain the results of flood-prone areas. Based on the AHP analysis, the most significant factors in determining flood-prone areas were the distance from rivers, slopes, and TWI. The results of flood-prone areas mapping were divided into five classes: from deficient 0.02%, low 4.26%, medium 37.11%, high 51.89%, and very high 6.72%. Validation of GIS mapping results with data in the field has an AUC value of 84%, which indicates that the prediction of the AHP-GIS model is perfect in flood-prone areas mapping in the Kencong District. The integration of AHP method and Geographic Information System in flood hazard assessment were able to produce a model to evaluate the spatial distribution of flood-prone areas. Keywords : Flood Hazard Mapping; Multi-criteria decision analysis; AHP Model; GIS; Jember   Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Silo District has land with mountainous contours that are relatively unstable and prone to landslides. The factors that cause landslides are complex factors, not only one factor that affects landslides but there are several factors that contribute to the occurrence of a landslide. landslide. The use of five landslide parameters, including rainfall, soil type, slope, land cover and geology. The use of this parameter is adjusted to the physical condition of the silo sub-district. The purpose of this study was to analyze the level of landslide vulnerability in Silo District. The method used is the overlay method with scoring. The scoring of each parameter is based on previous research and the researcher’s modifications are adjusted to the physical conditions of the research location. The data resulting from the overlay process is then classified into three classes, namely areas of landslide vulnerability: low, medium and high. The low classification has a total area of 4266 hectares, the medium classification has an area of 5324 hectares, and the high classification has an area of 659 hectares. Areas with low classification are scattered in the central and northern part of Silo District, namely Silo Village, Sempolan Village and Sumberjati Village. Areas with Medium Classification are spread in the central to southern region which is an area with an old mountainous topography. Meanwhile, areas with a high classification are scattered in the eastern, southern and western regions right around the border with the Banyuwangi Regency border in the east and the old mountainous area in the south and west.

Indonesia as a country that has two seasons, namely the rainy and dry seasons, making it vulnerable to natural disasters such as hydrometeorological disasters where disasters occur due to conditions and weather such as landslides. This study aims to analyze the vulnerability of landslides and it relationship with the quaternary volcanic landform in Gandusari District, Blitar Regency. The method used is quantitative with a scoring that refers to the estimation model of Puslittanak, 2004 with parameters that consist of rainfall, geology, slope, land cover, and soil type. After getting the results of the landslide hazard map, validation was carried out with interviews and then the map results will also be analyzed with the condition of population density in Gandusari District, Blitar Regency. The results showed that landslide hazard classes are divided into three classes, namely high, medium, and low. Population densities in several locations are found in areas of high soil susceptibility so that efforts are needed to reduce population density, especially in mountainous slope areas.

The condition of sea water quality is very important to study to determine whether a sea water is polluted or not. Muncar Fishing Port, located in Banyuwangi Regency, is the largest fish port on the island of Java. Economic activities around the port are dominated by fish canning factories which cause a very high amount of waste. Factory waste that is not managed by the factory is dumped directly into the ocean so that the waters at the Muncar Fishery Port become polluted. This study aims to determine the quality of sea water at the Muncar Fishery Port using a TDS meter. The parameters used in this study consisted of water temperature, pH, and PPM. Research samples were taken in five locations that have different characteristics. Based on the results of the research, the first and second locations have high levels of pollution which are characterized by low pH values (7) and high PPM (8.3). The third, fourth, and fifth locations have safe values so that they can be classified as unpolluted waters.

<p>Kawasan Pesisir Pantai Pancer merupakan salah satu pantai yang terletak di Desa Puger Kulon yang berada di bagian pesisir selatan Kabupaten Jember. Wilayah Pantai Pancer ini memiliki banyak potensi untuk dikembangkan mulai dari bentuk lahan Pantai Pancer. Pengembangan potensi pariwisata di wilayah Pantai Pancer ini dirasa dapat meningkatkan tingkat kesejahteraan masyarakat dalam hal ekonomi. Tujuan penelitian ini untuk mengetahui bagaimana potensi priwisata yang ada di Pantai Pancer. Penelitian ini menggunakan metode kualitatif. Teknik pengambilan data yang digunakan yaitu dengan observasi lapangan dan wawancara, kemudian dilakukan analisis potensi pariwisata yang ada pada Pantai Pancer. Berdasarkan data yang didapat, masyarakat Pantai Pancer mulai memanfaatkan potensi pariwisata yang ada seperti JLS, Pantai Pancer, Gumuk Pasir, Hingga Muara Sungai Bedadung sebagai tempat rekreasi sehingga membantu perekonomian masyaraka disekitar Pantai Pancer.</p>