Online learning is one of the main alternatives to learning during the Covid-19 pandemic and the new normal period. This learning has been implemented at various levels of education with various platforms. Various studies have shown that online learning has varying effectiveness at all levels and types of education. The implementation of online learning is not supported by an in-depth study of student readiness. Student readiness in online learning can be assessed comprehensively from the aspects of equipment capability, technology skills, self-directed learning skills, motivation, and perceived usefulness

The purpose of this research is to find out the process of cooperative learning action type student teams achievement division (STAD) and its effect on the activeness and learning outcomes of students in class X Mechanical Engineering of Vocational High School 2 Depok Sleman. This research is a classroom action research using STAD type cooperative learning model, using a qualitative approach to compare the results of observations of cycle I, cycle II, and cycle III. The results of the study show that the implementation of the STAD type cooperative learning model can increase student activity and learning outcomes in each cycle. There are increasing in learning activeness of students who received the minimum score of good categories and increasing in the number of students who received the minimum completion criteria.

This study aims to determine the multiple intelligences possessed by students, the level of multiple intelligences of students and to measure the relationship between multiple intelligences with the learning outcomes of welding practice lectures in the Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University. The method used is a survey. The research was carried out in the Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University. The research was conducted from April to July 2020 during the COVID-19 pandemic and was conducted online. The research subjects were students of the 2018 Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University. The independent variable is the student’s multiple intelligences and the dependent variable is the learning result of welding practice lectures. The result of this research shows that the highest multiple intelligences is interpersonal intelligence (78.91%) and the lowest multiple intelligences is naturalist intelligence (63.48%). Other multiple intelligences include verbal-linguistic intelligence (72.01%), logic-mathematics (72.59%), visual-spatial (71.29%), kinesthetic (72.02%), musical (68.36%), intrapersonal (73.93%) and existential (65.43%). The highest multiple intelligences that became dominant from the students of the S1 Mechanical Engineering Study Program, Faculty of Engineering, Yogyakarta State University, were interpersonal intelligence with 20 students (25.97%), intrapersonal with 17 students (22.08%), visual-spatial with 8 students (10.39%), logic-mathematics with 7 students (9.09%), musical with 7 students (9.09%), verbal-linguistics with 6 students (7.79%), kinesthetic with 5 students (6.49%), existential with 5 students (6.49%) and naturalists with 2 students (2.60%). The value (Sig.) Is 0.028 <0.05 and the t_count value is 2.246> 1.99897, it can be concluded that there is a contribution of multiple intelligences of students of the S1 Mechanical Engineering Study Program, Faculty of Engineering, Yogyakarta State University (X) to the learning outcomes of welding practice in the Undergraduate Program of Mechanical Engineering Education, Faculty of Engineering, Yogyakarta State University (Y).

This paper aims at developing the potential of cellulose-based energy generation using pyrolysis, gasification, and combustion methods with biodegradable waste media. The cellulose-based material used in this study was sawdust. The sawdust was heated using a biomass stove, which was then analyzed in terms of heat conduction and propagation as well as temperature distribution. To ensure the effectiveness of sawdust as the main material in the biomass stove, sawdust particles were pressed and compacted under various pressure conditions. This experiment was integrated with the Project-Based Learning method through the following steps: (1) determination of projects testing, (2) project design, (3) project implementation schedules, (4) project completion and progress monitoring, (5) reports and presentations of project results, and (6) project evaluation. The results provide new findings that the denser sawdust particles correlate with the greater temperature and propagation rate. This can be obtained from the measured temperature distribution. Areas close to the heat source tend to have the same heat propagation. The density of the sawdust particle is the main key point for producing better pyrolysis and gasification process, in which it correlates with long combustion energy. Integrasi This finding opens a new concept and can be used as a reference for other researchers who develop research related to renewable energy from waste, especially when using a biomass stove.  This study also gives ideas for the need for developing project-based learning using the burning of sawdust using biomass stove as a tool for the teaching and learning process.

The purpose of this research is to determine the effect of twist drill angle variations and spindle rotational speed on the surface roughness of S45C steel in the drilling process. The method used in this research is the experimental method. The independent variables used in this study are variations in twist drill angle (118°, 122°, 125°) and spindle rotational speed variations (1036 rpm, 1340 rpm, 1630 rpm). The dependent variable used is the result of surface roughness in S45C steel. While the control variable used is a feed rate of 0.18 mm/round. The results showed the highest surface roughness was obtained at 125° twist drill angle variation and spindle rotational speed of 1630 rpm with a roughness value of 8.590 µm, while the lowest surface roughness value was obtained at 118° twist drill angle variation and spindle rotational speed of 1036 rpm with a roughness value of 2.898 µm. This research can be developed to find standards from other aspects that affect the results of the drilling process.