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Welding is skill needed in many machinery and factory industries. Welding as skill is acknowledged by having a certificate. As certification cost is high, the skill must match the criteria for each test in a certification. In recent years, Politeknik Negeri Medan has held 7 times Visual Welding Inspector (CSWIP 3.0) certification with 57% of the participant pass the certification. Many participants not sure about the possibility of passing the certification process thus hesitating in taking this exam for the certification is costly. This research purpose the usage of profile matching method in determining the possibility of passing the certification. The result is suggested as a recommendation for taking the exam, but not preventing the examinee to take the certification test. The result shown that according to profile matching criteria, 75% people with recommendation is passing the certification, while all the people who didn’t meet the criteria and still taking the exam didn’t pass the test for certification.

IOT design and connecting between devices has been developed in recent years. Connection between device has been done from using Bluetooth, internet thru api, restfull api, socket, websocket, mttq and many others method. Api and socket is the most used method in connecting IOT devices. This reasearch tends to implement the websocket in connecting and controlling IOT devices. From the application of this research, the devices can be connected and implement with high speed of average 700ms with loaded netword. According to the results of the test, number of loads and data size can increase the time duration for each communication between IOT devices and websocket server. The larger the data, the more possible the anomaly may accured where the number of connections will experience lagging in command execution between the IOT devices and the controller The bidirectional connection in websocket make the data exchange posibbly fast.

The graduate profile is the role of the graduate of the study program or field of expertise / field of work planned after completing education from the study program. The determination of the profile of study program graduates is generally carried out based on the results of the assessment of stakeholder needs. Based on data from the Ministry of Research, Technology and Higher Education, the IT study program is one of the most majors or study programs in Indonesian universities and the highest number of enthusiasts choose this study program each year. Each year, graduates of IT study programs have a large number of graduates, both vocational and non- vocational colleges. The number of IT graduates is large but they have low graduate competencies, even they do not have competencies in the IT field so that their work is not in accordance with the graduate profile that has been designed. Therefore, it is necessary to conduct research to classify the profile of graduates who have worked based on tracer study data using the Naïve Bayes Classifier method. This study uses attributes, namely study program, value criteria, gender and field of work and the labels used are status (Linear and Non-Linear). The results of the study on the classification of the profile of graduates using the Naïve Bayes Classfier method show that alumni work not according to the profile of graduates by 73% and according to the profile of graduates by 23%, with a data accuracy rate of 87% and are included in the good classification category.