This study developed an Electronic Evaluation System (E-ES) for students' teaching evaluation in Vocational and Technical Schools (VTS). The E-ES model consisted of an application program and an instrument of students' teaching evaluation. This study employed the Analyse Design Develop Implement and Evaluate (ADDIE) model. The implementation of the E-ES model was carried out in 12 VTSs, with the sample of 312 students and 32 teachers selected randomly. The data were collected through questionnaires and interviews and analyzed by using descriptive statistics and t-test. The data collection was conducted twice, at the end of the sixth week and the twelfth week of the odd semester. The results of the study showed that (1) the E-ES application program was successfully developed and was considered feasible at a moderately high degree and; (2) the teaching evaluation instrument was valid (V-Aiken Coefficient Index=0.78), and its reliability with Alfa Cronbach was α=0.74; (3) the usability of the model was in a moderately high degree; (4) the students' satisfaction with E-ES was classified into the a moderately high degree, and the teachers' satisfaction of the E-ES was in a moderately high; (5) There was an increase of the teaching quality after the E-ES implementation .
In the previous article about detecting train arrivals [4], we discussed the data transmission process which is the weakness of the system. This article discusses how to overcome these shortcomings. Distance detection systems need to be added to devices that are more powerful and faster in transmitting data. The prototype is built based on the development of the previous prototype. The initial product is a distance detector that has a motion sensor and a data transmission module in the form of Lora 400 MHz and a GSM module. Product development includes the addition of the NodeMCU WIFI module to existing devices. System development aims to: (1) Develop a distance detection system equipped with a WIFI module; and (2) Increase the data transmission speed of the distance detection system equipped with the WIFI NodeMCU module. The implementation method uses research and development techniques [3]. System development takes 6 months, with the stages of completion being system requirements analysis, hardware, and software design, system prototyping, and tool testing. Checklist data and delivery time are used as test data. Furthermore, the data is analyzed quantitatively to determine the achievement of results according to predetermined indicators. The device is equipped with a GPS module, a Lora-R02 receiver and transmitter module, and a Nodemcu ESP8266 module as a replacement for the 900A SIM module which transmits data faster. When the device is being tested, all the sensors of the tool work well at range of 125 meters (previously less than 100 meters). While the Lora module can react when the object has reached a distance of 300 meters. Data transmission previously using GSM modules took 10-13 seconds. After using the WIFI module, data transmission only takes 1-3 seconds.
These days, the Internet of things (commonly abbreviated as IoT) has been applied in various industrial sectors such as manufacturing, health, restaurant, electricity generation, transmission, and distribution, etc. Therefore, IoT learning materials need to be included in the learning process both at the college and high school level. The most common obstacle is the lack of learning media about IoT. This paper reports on the process of developing an IoT laboratory work (lab work) learning media based on the Arduino UNO and NodeMCU microcontroller. Furthermore, this paper also discusses the results of the feasibility test on learning media. The stages of the research are need assessment, planning, development and implementation, and also evaluation. Outcomes of this development process are the Arduino and NodeMCU-based IoT lab work modules, short manuals and lab sheets. Product testing with student respondents shows that the Arduino and NodeMCU-based IoT lab work modules, manuals and lab sheets are considered to be very feasible for use in learning. The test results show students considered this module can increase learning interest and make it easier for them to understand IoT learning materials.
This article discusses how to build a remote detection system prototype. An example of its application is for example to turn on a siren when it detects the arrival of a train at an unguarded rail crossing. The device to be produced is expected to be able to reduce and even prevent traffic accidents that often occur at unattended rail crossings. The specific objectives of the research are: (1) Producing a prototype design for the distance detection system at unattended rail crossings; and (2) Obtain good performance from the prototype design of the distance detection system at unattended rail crossings. Specific targets of research are prototypes of distance detection systems at unguarded rail crossings that are performing well and well validated, nationally accredited journals, and IPR. The method of implementation uses development techniques (Research and Development) which refers to Pressman (2006: 409). This activity is carried out for 6 months, in outline the steps are: description and analysis of needs, design, making system prototypes, and system testing. The instruments used included checklists and questionnaires. The data obtained from the questionnaire were analyzed quantitatively to test whether the results met the predetermined indicators. The tool developed has special specifications, namely having a Lora-R02 transmitter and receiver module, a GPS module, a 900A SIM module which are all assembled as IOT using the Arduino Mega 2560.From the results of testing the prototype tool, all tool sensors can work well at a distance of less than 100 meters and only partial sensors work at distances greater than 100 meters. Meanwhile, the Lora module can begin to detect the arrival of objects at a distance of 300 meters.
Basic knowledge of electricity is needed in various work competencies in the field of electricity. As a student of the Electrical Engineering Department, basic electricity is something that must be understood. The basic understanding of electricity is not enough just theory, it takes hands-on practice in a laboratory with infrastructure, processes, and laboratory management adapted to the world of work. In order to optimize this, a guidebook is needed. The research aims are: (1) in the form of an augmented reality-based guidebook product. (2) Knowing the performance of augmented reality-based manuals. (3) The priority of augmented reality-based guidebooks is viewed from the material and media aspects. (4) Knowing student responses to augmented reality-based guidelines. The research uses the research and development (R&D) method of the ADDIE model according to Lee & Owens (2004), which has stages: Analysis, Design, Development, Implementation, and Evaluation. The results of the research are: (1) A manual that is equipped with augmented reality technology, namely the AR-Daslis application to scan marker images. (2) The performance of the AR-Daslis application through the black box test gets a percentage of 100% which indicates the function can run well.
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