The objective of this study is to compare the facility designs of existing and modern learning environment for vocational schools in accordance with 21st century learning. We begin the study with a comprehensive study on vocational schools that reflects the current condition and best practices. The next step is a comprehensive study of administrative documents and facility specifications needed to support vocational school graduates. Data and information in this study are analyzed and presented using a qualitative-descriptive approach. The method of analysis is carried out in three stages. The first stage is identifying the existing data in the field. The second step is to find the problems that become obstacles to the fulfillment of facilities in accordance with 4.0 industrial revolution. The third stage is to do an analysis between the current and modern conditions of the facilities in vocational schools. The locations chosen for the survey activities include East Kalimantan, Central Kalimantan, Jakarta, West Java, Central Java, East Java, and Yogyakarta. This study finds that the existing facilities in vocational schools are lacking and also concerning. This needs proper attention and handling such that these school facilities may be transformed into modern facilities.
The study aims to analyze the implementation of Good School Governance in vocational schools in Indonesia as a response of the high number of inappropriate employment to the vocational graduates’ competencies. This present quantitative descriptive study applies the purposive sampling technique by picking up 852 vocational school principals and teachers from 34 provinces in Indonesia. The researcher found a model for improving the vocational school performance based on good school governance in Indonesia covering Transparency, Accountability, Responsibility, Autonomy, Fairness, Participation, Effectiveness and Efficiency, and Consensus-Oriented principles. Among these eight factors, Responsibility is assessed the highest with the Mean score of 3.25, while both Consensus-Oriented and Participation are labelled as “Not Good” with the Mean scores of 2.93 and 2.82 respectively. However, the results of the recent study need to be legitimated in order to formally applied in all vocational schools in Indonesia.
The administrative process carried out continuously produces large data. So the search process takes a long time. The search process by hashing methods can save time faster. Hashing is methods that directly access data in a table by making references to the key that hashing becomes the address in the table. The performance analysis of the hashing method is done by the number of 18 digit character values. The process of analysis is done on applications that have been implemented in the application. The algorithm of hashing method analyzed is progressive overflow (PO) and linear quotient (LQ). The main purpose of performance analysis of hashing method is to know how gig the performance of each method. The results analyzed showed the average value of collision with 15 keys in the analysis of 53.3% yield the same value, while 46.7% showed the linear quotient has better performance.
The purpose of this research is to know the stages of manufacture, the performance and the development of solar panel control charging devices using arduino nano for commercial electric bicycle. Development of solar panel control charging device is expected to be used in utilizing solar thermal energy as a source of energy on a commercial electric bike with parameters generated from solar panels and battery charging. The result of this research is a solar panel charging control device that is used to control the input voltage from the solar panel to the battery used as a power source for the electric bicycle. The result are, the average battery charging power using 100 Watt Peak (WP) solar panel was 39.03 Watt with 160 minutes, the average efficiency of 85.82% and the yield of the battery voltage from 11 Vdc to 12.5 Vdc. While the average power charging battery using 300 WP solar panel is 57,43 Watt with time 50 minutes, average efficiency of 88.48% and battery voltage from 11 Vdc become 12,2 Vdc. Average percentage error of measurement parameter control charging solar panels below 10%. Keywords: control charging, solar panels, electric bike AbstrakTujuan dari penelitian ini adalah untuk mengetahui tahapan pembuatan, unjuk kerja dari pengembangan alat control charging panel surya menggunakan arduino nano untuk sepeda listrik niaga. Pengembangan alat control charging panel surya ini diharapkan dapat digunakan dalam memanfaatkan energi panas matahari sebagai sumber energi pada sepeda listrik niaga dengan parameter parameter yang dihasilkan dari panel surya dan pengisian aki. Hasil dari pembuatan proyek akhir ini berupa alat control charging panel surya yang digunakan untuk mengontrol tegangan masukan dari panel surya menuju aki yang dimanfaatkan sebagai sumber tenaga sepeda listrik niaga. Hasil pengujian, daya rata rata pengisian aki menggunakan panel surya 100 Watt Peak (WP) yang diuji adalah 39,03 Watt dengan waktu 160 menit, rata-rata efisiensi 85,82% dan hasil tegangan aki dari 11 Vdc menjadi 12,5 Vdc. Sedangkan daya rata rata pengisian aki menggunakan panel surya 300 WP yang diuji adalah 57,43 Watt dengan waktu 50 menit, rata-rata efisiensi 88.48% dan tegangan aki dari 11 Vdc menjadi 12,2 Vdc. Rata-rata persentase kesalahan parameter pengukuran alat control charging panel surya dibawah 10%. Kata Kunci : control charging, panel surya, Sepeda Listrik Niaga
This study aims to develop an IoT-based 3D Printer as a CNC Maintenance and Repair Learning Media, identify competencies that can be supported by an IoT-based 3D Printer Learning Media, and find out the implementation of 3D Printers in learning to improve student competence in the Mechatronics Engineering Education Study Program. The method used in this research is Research and Development using the ADDIE model, namely Analyze, Design, Development, Implementation, and Evaluation. The results of this study obtained an IoT-based 3D Printer machine that has been tested both in terms of function and feasibility which can be used in learning to improve the competence of students of the Mechatronics Engineering Education study program and the competencies supported by the learning media.
Penelitian ini betujuan untuk merancang sistem pengisian baterai menggunakan inverter sebagai penyedia energi listrik pada SLN, mengetahui kinerja dan efektifitas pengisian baterai menggunakan inverter dibandingken dengan sistem yang telah terpasang. Metode yang digunakan dalam penelitian ini adalah Research and Development dengan mengembangkan sistem charging baterai menggunakan inverter pada sepeda listrik niaga (SLN) yang telah dibuat. Hasil penelitian menunjukkan pengisian baterai pada Sepeda Listrik Niaga memiliki nilai yang lebih efektif dan proses pengisian baterai yang lebih cepat menggunakan inverter pada solar panel sebesar 300wp yang digunakan sebagai supply energi utamanya. Sistem pengisian baterai menggunakan inverter sebagai penyedia energi listrik pada SLN memerlukan waktu sebesar 10,182 jam untuk mengisi baterai 48 volt sampai penuh. Sehingga proses pengisian baterai menggunakan inverter lebih efektif dibandingken dengan sistem yang sebelumnya telah terpasang dengan rasio perbandingan pengisian baterai sebesar 1 : 2,94 atau tiga kali lebih efektif dibanding sistem sebelumnya. Kata Kunci: Sepeda Listrik, Solar Panel, Inverter
Learning media is one of the learning tools that is needed so that the learning process can run smoothly and students can have competencies in accordance with the expected competency goals. This paper discusses: (1) developing a Human Machine Interface (HMI) training kit as a learning medium in the Industrial Automation Engineering Practical Course; (2) the performance of the HMI training kit; (3) the feasibility of the HMI training kit based on the assessment of media experts, material experts and student responses as training kit users. In developing this training kit using the ADDIE model which consists of Analysis, Design, Development, Implementation and Evaluation. Data collection was carried out by testing the performance of the media, and giving a questionnaire to media experts to assess the feasibility of the media aspect, a material expert questionnaire to assess the appropriateness of the material and a questionnaire to determine student responses as users. The data were analyzed by means of quantitative descriptive analysis which were then categorized. The result of this development is HMI practice learning media for industrial automation engineering practice courses which consist of HMI practice hardware, and jobsheets. The performance of the HMI training kit for input and output parameters, visualization of engine control in the form of buttons, sliders, output visualization, indicator lights, and overall graphics have a 100% correct performance. Based on media experts, design aspects, technical aspects and usefulness aspects were rated very well, so that overall the media aspect received an assessment in the very proper category Based on material experts, technical aspects and aspects of usefullness received an assessment in the very good category, so that overall the material aspect received an assessment in the very proper category. Based on assesment of students as users, the average score student response falls into the very good category.
The purpose of this study is to produce a battery charging device on an electric bicycle automatically using a boost-converter. Then a comparison is made to determine the effectiveness and efficiency of the devices made with the previous charging method, which uses an inverter and a 48V battery charger. The stages include: (1) needs analysis, (2) design, (3) manufacturing, and (4) testing. The design consists of designing a control chain with an Arduino microcontroller, designing a power circuit with Boost-Converter, and box design. The test was conducted at the Department of Electrical Engineering Education Faculty of Engineering UNY. The results of this study in the form of a battery charging device on an electric bicycle automatically with a boost-converter. After testing and comparison with a charging system that uses a 48V inverter and battery charger, the advantages and disadvantages can be known. The disadvantage lies in the reading of sensors that are less stable, relatively lower efficiency, which is an average of 72.15% compared to systems that use Inverters and 48V battery chargers at 84.57%. The advantage is that discharging using a boost converter is relatively longer at 43 minutes, has a control circuit that works automatically, so the energy received by a 12V battery will be effectively channeled to a 48V battery without having to be controlled by the operator. Also available is an external charging port to anticipate if the electrical energy from solar panels is less than optimal.Keywords: boost-converter, microcontroller, electric bicycle AbstrakTujuan penelitian ini adalah untuk menghasilkan alat pengisian baterai pada sepeda listrik secara otomatis menggunakan boost-converter. Selanjutnya dilakukan perbandingan untuk mengetahui kefektifan dan efisiensi dari alat yang dibuat dengan metode pengisian sebelumnya yaitu yang menggunakan Inverter dan charger baterai 48V. Adapun tahapannya meliputi : (1) analisis kebutuhan, (2) perancangan, (3) pembuatan, dan (4) pengujian. Perancangan terdiri dari perancangan rangkain kendali dengan microcontroller Arduino, perancangan rangkaian daya dengan Boost-Converter dan perancangan box. Pengujian dilakukan di Jurusan Pendidikan Teknik Elektro, FT, UNY. Hasil dari penelitian ini berupa sebuah alat pengisian baterai pada sepeda listrik secara otomatis dengan boost-converter. Setelah dilakukan pengujian dan perbandingan dengan sistem pengisian yang menggunakan Inverter dan charger baterai 48V, dapat diketahui kelebihan dan kelemahannya. Kelemahannya terletak pada pembacaan sensor-sensor yang kurang stabil, Efisiensi yang relatif lebih rendah yaitu rata-rata sebesar 72,15% dari pada sistem yang menggunakan Inverter dan charger baterai 48V sebesar 84,57%. Adapun kelebihannya yaitu pengosongan menggunakan boost-converter relatif lebih lama yaitu sebesar 43 menit, memiliki rangkaian kendali yang bekerja secara otomatis, sehingga energi yang diterima baterai 12V akan secara efektif disalurkan ke baterai 48V tanpa harus dikendalikan oleh operator. Selain itu tersedia port pengisian eksternal untuk antisipasi jika energi listrik dari panel surya kurang maksimal.Kata kunci: boost-converter, microcontroller, sepeda listrik
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