The appears of the popularity of web technologies and applications have created a vast opportunity for organizations, including institutions of higher education. With the presence of Academic information systems (SiAkad) that is in STTNAS, then do some research to find out the intention of the behavior in the use of Academic information systems using the UTAUT model (Unified Theory Of Acceptance And Use Of Technology). The phenomenon underlying this study is: not yet optimal use of Academic information systems by civitas academic (professors, students and employees) in the process of learning and socializing, so the existence of maximal and haven't yet SiAkad his crisp utilization impact of its use for the entire civitas academic. The study was limited in its scope: the analysis of the influence of Performance Expextancy, Expextancy Effort, Social Influence and Facilitating Condition against the intention SiAkad usage behavior in STTNAS in Yogyakarta. The data in the study on the test with the SEM analysis tool (Structural Equation Modeling). SEM is a tool of statistical analysis that are used to complete the research of multilevel models simultaneously. SEM can be used to solve equations with variables that make up the path. Research results based on the analysis and discussion is a variable PerformanceExpectancy (PE), Social Influence (SI) and Facilitating Condition (FC) effect significantly to Behavioral Intention, while variable Effort Expectancy (EE) provides results that are not significant. Fourth overall Predictor is only able to explain the impact on behavioral intention of 37,6 percent.

Understanding the concepts based on problem solving is not an easy methodology in teaching the impact of power systems stabilizer (PSS) on transient synchronous generator using MATLAB capability. Experiments conducted in simulating sessions play an important role in this teaching. This simulation can simulate power system stability behavior with reasonable accuracy in less time. This transient phenomenon of a power system utilizing synchronous generator and modelling by fully three-phase model with changes in stator flux linkages neglected is analyzed by employed single machine infinite bus taken to the power system. Whereas a power system stabilizer which consist of a wash-out circuit, two stages of compensation, a filter unit, and a limiter, is applied to control voltage and frequency of power systems in transient condition. Proportional-integral-derivative (PID) controller tuned by Ziegler-Nichols’s method is cascaded to conventional PSS in order to enhance the response time of system while providing a better result in damping for oscillation. This gives the clear idea about PSS and PID controller impacts on transient synchronous generator and its enhancement to the students of electrical engineering program, Institut Teknologi Nasional Yogyakarta.

A wheelchair is a tool that can be used to mobilize patients who experience paralysis, especially paralysis in the legs, so they can move from one place to another independently. An electric wheelchair is a type of wheelchair that can be controlled by a patient without having to be controlled by another person. The design of this tool utilizes an ADXL335 accelerometer sensor mounted on the patient's head as a determinant of the direction of wheelchair movement, BTS7960 as a DC motor driver, a motor wiper as the main drive for a wheelchair, and the Atmega328P microcontroller as an input and output processor. Gestures of the patient's head (looking down, looking up, head tilted to the right, tilting left) will produce a different voltage output which will be processed by Atmega328P as a determinant of the direction of motion which will be sent to the BTS790 driver to drive the wipper motor as the main driver of the wheelchair. The method of testing and measurement carried out is by testing the response of the ADXL335 accelerometer sensor with the test results of the ADXL335 accelerometer sensor having an accuracy of determining the direction of motion of 100%. The results of testing the average wheelchair speed of 2.3 km / hour with a patient weight of 40-60 kg, and the test results of battery endurance in a wheelchair of 5.07 hours with a patient weight of 40-70 kg with a 12V18Ah battery.

This research aims to develop a quadrotor system as unmanned aircraft vehicles (UAVs, or drones) for monitoring atmospheric conditions in a targeted area. The system consists of an APM 2.8 arducopter flight controller, Ublox NEO M8N GPS module with compass, Racerstar 920kV 2-4S Brushless Motor, Flysky Receiver FS-iA6B with FS-i6 Remote Control Transmitter, DJI F450 quadcopter frame kits with tall landing gear skid, and a LiPo Battery 3300 mAh 35C. The system is set up and run through a Mission Planner. As for monitoring atmospheric conditions, the system consists of an Arduino Uno ATmega328P, BME280 sensors, and several modules (DS3231 Real-Time Clock (RTC),  micro SD card, and 16×2 LCD). Our vehicle with a total weight of 1 kg can fly into space and maneuver to an altitude of more than 200 meters in an average of 10 minutes. Atmospheric conditions such as air temperature, relative humidity, air pressure, altitude, and precipitable water vapor can be measured and logged properly from drones. By this development, the system can be applied in the future to detect or measure weather extremes, air pollution, or monitoring aerial topography automatically when equipped with gas sensors and cameras, respectively.

Penelitian ini dilakukan untuk membuat prototipe sistem keamanan pintu dengan metode pengenalan wajah untuk mengendalikan kunci solenoid pada sebuah pintu. Sistem ini dibuat berbasis Internet of Things (IoT) berfungsi mengendalikan kunci solenoid dan bertukar informasi secara real time. Kunci solenoid akan terbuka secara otomatis saat sensor kamera menangkap citra wajah dan dicocokkan dengan citra yang sebelumnya sudah direkam dan disimpan di database sistem. Sistem dapat dikendalikan menggunakan smartphone/komputer yang terhubung melalui aplikasi Telegram Messenger. Hasil berupa sistem deteksi pengenalan wajah untuk membuka kunci solenoid dengan akurasi 92%. Sistem mampu membuka kunci solenoid secara otomatis berdasarkan kesesuaian citra. Rata-rata waktu pengiriman notifikasi berupa citra dan teks adalah 4 detik dan 0,5 detik. Dengan kata lain sistem telah bekerja dengan baik.