Industrial development has been more challenging the technological and vocational education to strengthen their relevance with employment. Partnership with industry becomes the top priority that should be continuously pursued in order to optimize the learning process. One of the ways for continuously pursuing the optimization might be the Work-Based Learning (WBL). In relation to the statement, the study aims at identifying the obstacles within the implementation of WBL among the students of Diploma III Automotive Engineering Study Program, Faculty of Engineering, Universitas Negeri Yogyakarta and at identifying the impacts of WBL implementation on the students’ learning process. While the study was conducted, the data were gathered through in-depth interview, questionnaire distribution and field observation. Then, the data that had been gathered were analysed using the qualitative descriptive analysis technique. The respondents who had been involved in the conduct of the study were the university students who underwent their internship program in 2017 and also the Workshop Head and mentor from the partnering companies of automotive industry around the Province of Yogyakarta Special Region and the Province of Central Java. The results of the study show that several obstacles have been found in the following aspects: (1) partnership development with the industry; (2) duration and timing of implementation; (3) activity guideline; (4) evaluation instrument; and (5) monitoring and supervision by the lecturer. On the other hand, the impact of WBL implementation on the students’ learning process is that the WBL enforces the creation of ideas that might be useful for their development in the subsequent assignments.

The particular study aimed to; 1) know the job’s field of graduate; 2) know the graduate’s waiting period to get a job; 3) know the quality of graduates; 4) know the relevance of educational material; 5) collect the advice and inputs from graduates for the development of Study Programs; and 6) mapping the positions for graduates. This study was a descriptive study. The population in this study was all alumni of Automotive Engineering Education Study Program and selected using Snow Ball Sampling. Data collection was through questionnaires and documentation. The data analysis technique used descriptive analysis. The findings showed; 1) Most types of alumni’s job are vocational school teachers in the automotive field (52%); 2) The most waiting period for graduates is between 1-2 months (57.6%); 3) The quality of graduates is in a very good category; 4) The majority of alumni stated that the material on study program curriculum is in the relevant category (52%); 5) Suggestions and inputs from alumni for the development of study programs, i.e. improving the English skills and soft skills for students, means of practice and cooperation; and 6) Most respondents stated that the level of the workforce’s needs for graduates is in the very high category (45%) and there are 28 types of jobs for graduates.

Vechiles emit large amounts of emissions in towns of developing countries. This study is descriptive research. Analyzer gas as well as opacity were used to collect the necessary data. The objects of the study were motorized diesel engine as well as gasoline engine of various brands that operated around Sleman, a regency in Special Region of Yogyakarta, Indonesia. Those vehicles produce three main exhaust gases: CO, HC, and PM. The largest CO emissions, with figure reaching 6.92%, come from gasoline-powered Suzuki units released in 1993. Daihatshu units released in 1993 emit the largest HC emissions up to 538 ppm. Meanwhile, diesel-powered vehicles that produce the most Particulate Matter come from Mitsubishi that were released in 2008, with figure reaching 64.55%.HSU. The analysis of exhaust gas emissions will encourage vehicle owners who haven't yet passed their emission test to do regular maintenance as well as put the right type of fuel into their vehicles.

The use of an electronic system to regulate the injection system is a solution that can improve the performance and fuel efficiency of an engine. However, conventional vehicles require retrofit to be able to use the electronic fuel injection (EFI) system. The design uses a microcontroller system with ARM32 architecture. The inputs used to determine the duration and timing of the injection are a crankshaft position sensor (CKP), throttle position sensor (TPS), manifold absolute pressure (MAP), air temperature sensor (ATS), and lambda sensor. Before the sensor signal enters the microcontroller, the signal is filtered using a low pass filter (LPF) with a cut-off point of 50Hz. The actuator system consists of an injector. While the ignition system can use a capacitor discharge ignition (CDI). The novelty in this design is that the type of sensor can be replaced with a resistant type sensor. So that there will be many variants of the fuel injection system tuning retrofit that can be done with conventional motors.

This study aims to optimize fuel consumption in the Garuda UNY Urban Gasoline-19 vehicle by changing the injection time mapping. Injection Timing Mapping using Programmable ECU software MegaSquirt III and Tuner Studio 3. Based on standard ECU data, Mapping Timing Injection Case 1 (IT-C1) and Timing Injection Case 2 (IT-C2) were generated. Performance tests are carried out using static tests in the laboratory and dynamic tests in the field. The application of IT-C2 resulted in the best reduction in fuel consumption, namely 12% in the static test and 11.08% in the dynamic test. The delay in initiation of injection results in less responsive acceleration.