<span>This research aimed to develop instructional media for occupational safety and health android-based for vocational schools. The second aim is to determine the feasibility of instructional media and student responses. The type of research is research and development (R&D) with the Analysis, Design, Development, Implementation, Evaluation (ADDIE) method, namely, analysis, design, development, implementation, and evaluation. The instrument used for data collection was a questionnaire with fourth scales. Data collection used an assessment questionnaire for two experts and 103 users. Research data analysis techniques used quantitative descriptive analysis. This study's results have produced products in the form of android-based instructional media for Occupational Safety and Health. In this study, we designed and developed an application called Zerosicks for mobile devices to help students learn occupational safety and health principles. The results of testing for all features and navigation work well and under their <span>functions. The assessment results by content experts, media experts, and students as users indicate that this media has a very decent level of eligibility. Suggestions for product development are to</span> add videos to the media, provide selected music, and add discussion forums for users.</span>
Data is a collection of information that is combined into one and has a very important meaning. In the study, the object to be secured is the password data, the encryption method Advanced Encryption Standard (AES) with a key length of 256 bits, before the data is encrypted with method of AES, the first password will be encrypted using MD5, and the second one will be encrypted again using the AES256 method. Based on trial data conducted through two sites about the complexity of passwords, it can be concluded that the original data (before encryption) no 1 to 5 increased to 32 bytes after being encrypted by the MD5 method, and its size increased again to 88 bytes after being encrypted by the AES256 method. Data can be obtained by value original data AES256 is 9, 96 times larger than its original size, would be but the value of the complexity of her also increased in line with the increase in the number of characters or the byte size of the data password above, thereby increasing the level of difficulty by the party that will hack the login data in the cloud.
The use of Wireless Sensor Network (WSN) for monitoring systems continues to grow, as it is required data analysis of a sensor node in which there is an accelerometer, use WSN system intended for structural health monitoring application. This monitoring system prototype, built by integrating software and hardware with device microcontroller and sensor. The node sensor produces data and processed with a microcontroller, the resulting data is then immediately transmitted to the cloud by internet network using MQTT. The system was built with a firmware-based Internet of Things (IoT) and this verified using accelerometer sensor node. The data has also been explored and analyzed in the time domain and frequency domain using FFT. Using MQTT, data can be sent directly to the internet in the form of raw data or graph data over time. And in this paper authors do an analysis of the raw data of the output sensor accelerometer ADXL345 and applied to monitor the bridge. From experiments, conducted output accelerometer sensor can vary depending on the sensitivity of the values.
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