Abstract. Assessment is one of the most important things in studying. In this digital era, there are a lot of systems that have developed to handle assessment automatically. One of the system assessments that were developed by researcher is automatic scoring for essay. There are two types of essay; long and short answer essays. This paper is focused on the development of automatic short answer scoring. Some automatic scoring systems used on long answer have shown optimal results in giving a score on the students answer. Automatic long answer systems use the information retrieval method to measure similarity between students answer and references answer. Automatic short answer scoring does not give the best result yet. Short answer has a limited word in each answer. Each answer consists of one phrase to three sentences. Assessment of the short description that has limited number of words requires special handling, especially in the weighting process. With the limitations of the process of weighting the word, it cannot be done with frequency model, because the words occurrence is very rare. This study tries to compare several methods that apply the overlapping methods to determine the degree of similarity between the references answer and students answer. From the research result shows that the method Cosine Coefficient has better results than the Dice and Jaccard Coefficient methods.

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The Standard Operating Procedure (SOP) escalation data of IT disruption report in the Indonesian Railways Co is divided into some criteria such as disaster, crisis, critical, major, and minor. Each criterion consists of several sub-criteria. The disruption in the sub-criteria may come up together at the same time. However, the SOP does not have a priority troubleshooting to solve it. The research aims to decide the troubleshooting priority of IT disruption in the Indonesian Railways Co using Analytic Hierarchy Process (AHP). AHP calculation starts with the pairwise comparisons of critical, major and minor criteria. The result of AHP consistency is measured based on the Consistency Ration (CR) value. The decision results of CR IT priority troubleshooting are; critical 0.094, major 0.076, and minor 0.051, with overall CR ≤ 0.1. The AHP method got the optimal IT priority troubleshooting. This priority order can be used for assisting the determination of priority troubleshooting if there is a lot of simultaneous disruption.