Safety is an important thing in driving. Security in driving is aimed at the way of driving the vehicle or the security on the vehicle itself. Vehicle assets, especially cars, that are quite expensive or luxurious assets Therefore, safety protections for such vehicles are necessary. Taxi is a valuable asset for the company. To maintain the asset, a good security system is needed. With a good security system, the asset will be protected and the investments invested will not be reduced. By using the prototype method, a tool will be made in accordance to the wishes of the user. The Encludean distance method is used to calculate the distance of the incident and the nearest police station. By using the progress of technology, the progress can be utilized to help the security of taxi owned by a company or personal (online). The purpose of this study is to create a tool that can secure the taxi and its driver of crimes that might occur. IoT (internet of things) can help to secure a taxi since it is able to locate the incident's location precisely and accurately.

One way to detect breast cancer is using the Ultrasonography (USG) procedure, but the ultrasound image is susceptible to the noise speckles so that the interpretation and diagnosis results are different. This paper discusses the classification of breast cancer ultrasound images that aims to improve the accuracy of the identification of the type and level of cancer malignancies based on the features of its texture. The feature extraction process uses a <em>histogram</em> which then the results are calculated using the Gray Level Co-Occurrence Matrix (GLCM). The results of the two extraction features are then classified using K-Nearest Neighbors (KNN) to obtain accurate figures from those images. The results of this study is that the accuracy in detecting cancer types is 80%.

Data from the Central Bureau of Statistics shows that during the first quarter of 2014 to 2019, the tendency of Indonesian crayfish export increases by an average of 3.54% in 2019 and reach 7.09 million USD. This number still fails to meet the global market demand caused by poor water quality due to cultivators’ lack of experience and education. Two parameters measured in water quality are temperature and pH. Thus, a device was made using IoT to maintain those conditions in order to increase the viability of the crayfish in the pond. The perceptron method is used to classify water quality based on those parameters. To send the data, ESP8266 is used as an intermediary for Arduino and cloud server. The result is that the information about the ponds’ condition can be seen via a smartphone. The method gives a value of 98.06% accurate in determining water quality.

English standardization is needed by a college to ensure the quality of knowledge and skills of their students before they join the international learning and research culture there. As a campus that has an international vision, Institut Teknologi PLN (ITPLN) created two English tests in for the students which are implemented at the beginning and at the end of their study time. The standardization test is meant to know the English knowledge of the students and map their weakness in English so that the lecturers can organize a more precise English learning system. The research based on the English standardization test, which was already done in two different forms, the offline paper-based and the multimodalonline-based. The article is aimed to present the comparison between those forms, the arrangement of the online test, the methods to overcome the proctoring problems, and the results. The result shows that the online test decreases the usage of time, human and other resources by 70% and with a multimodal system, increase the questions variations and types by 50%, thus they increase the effectivity of the test by 75%.

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