Indonesia has fertile soil, natural resources and abundant marine resources. However, Indonesia is also not immune to the risk of natural disasters which are a series of events that disturb and threaten life safety and cause material and non-material losses. Indonesia's strategic geological location causes Indonesia to be frequently hit by earthquakes, volcanic eruptions and other natural disasters. From the data collected, natural disasters that occurred in Indonesia consisted of several categories, namely earthquakes, volcanic eruptions, floods, landslides, tornados, and tsunamis. Many natural disasters in Indonesia have caused casualties, both fatalities and injuries, destroying the surrounding area and destroying infrastructure and causing property losses. The trend of increasing incidence of natural disasters needs to be further investigated to prevent the number of victims from increasing. This information can be obtained through a data mining approach given the large amount of data available. In relation to natural disaster data, clustering techniques in data mining are very useful for grouping natural disaster data based on the same characteristics so that the data can be adopted as a groundwork for predicting natural disaster events in the future. Thus, this research is supposed to group natural disaster data using clustering techniques using the k-means algorithm into several groups, in terms of natural disaster types, time of disaster, number of victims, and damage to various facilities as a result of natural disasters

Evaluation of interface design is part of human and computer interaction (HCI-Human Computer Interaction). The focus of this study is to conduct heuristic evaluations on the interface design of an academic portal to determine the extent to which the academic portal meets the concept of usability. Academic portal is a website accessed by academics through a web browser. This portal can be accessed by students, lecturers, academic supervisors, Final Project supervisors, and other academics such as: Academic Administration Section (BAA), Study Programs, Libraries, Student Affairs, and Public Administration and Personnel Section (BAUK). This study uses heuristic evaluation as an approach in evaluating a human-machine system (man-machine system) in relation to academic portal ease of use (usability) and also severity ratings in addition to heuristic checklist.  This study involved several evaluators who would conduct an assessment by filling in the heuristic checklist. The expected results with the evaluator's heuristic evaluation method found usability problems related to the general interface. These results are expected to be used by Mikroskil's academic portal system developers to make improvements to the academic portal currently in use