Penelitian ini bertujuan untuk membuat prediksi prestasi belajar siswa berdasarkan status sosial ekonomi orang tua, motivasi, kedisiplinan siswa dan prestasi masa lalu menggunakan metode data mining dengan algoritma J48. Sebagai perbandingan, data penelitian dianalisis juga dengan CHAID (Chi Squared Automatic Interaction Detection) dan regresi ganda. Pendekatan penelitian yang digunakan adalah kuantitatif. Subyek penelitian ini adalah siswa tingkat X SMK Negeri 4 Surakarta berjumlah 416 siswa. Teknik pengumpulan data yang digunakan adalah dokumentasi dan angket. Hasil penelitian menunjukkan bahwa analisis prediksi menggunakan decision tree algoritma J48 memiliki akurasi sebesar 95,7%, sedangkan analisis prediksi menggunakan CHAID memiliki tingat akurasi 82,1% dan analisis regresi ganda menghasilkan tingkat signifikansi sebesar 90,6%. Berdasarkan hasil tersebut bisa disimpulkan bahwa metode J48 lebih baik dibandingkan dengan metode CHAID dan regresi ganda. DATA MINING TO PREDICT STUDENT’S ACHIEVEMENT BASED ON SOCIO-ECONOMIC, MOTIVATION, DISCIPLINE AND ACHIEVEMENT OF THE PASTAbstractThis study aims to make student achievement prediction based on socio-economic status of parents, motivation, discipline students and past achievements using data mining methods with the J48 algorithm. For comparison, the data were analyzed also with CHAID (Chi Squared Automatic Interaction Detection) and multiple regression. The research approach is quantitative. The subjects of this study were student-first level at SMK Negeri 4 Surakarta totaled 416 students. Data collection techniques used are documentation and questionnaires. The results showed that the predictive analysis using J48 decision tree algorithm has an accuracy of 95.7%, while the predictive analysis using CHAID has the rank of an accuracy of 82.1% and a multiple regression analysis resulted in a significance level of 90.6%. Based on these results it can be concluded that the J48 method is better than the CHAID and multiple regression methods.
Penelitian ini bertujuan untuk mengetahui: (1) peran DUDI dalam mendorong produk kebijakan pendidikan Pemda Kota Mataram dalam mengembangkan SMK berbasis kearifan lokal; (2) implementasi penyelenggaraan kebijakan pendidikan SMK yang sesuai dengan kearifan lokal; dan (3) peran DUDI dalam pengembangan SMK. Informan kunci pada penelitian adalah Kepala Dinas Dikmen sub-bagian kepala seksi kurikulum, Kepala Sekolah, Wakasek Humas Industri, Pembimbing Industri, dan Siswa. Teknik pengumpulan data melalui observasi, wawancara mendalam dan dokumentasi. Teknik analisis data meliputi reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian ini menunjukkan bahwa: (1) peran DUDI dalam mendorong kebijakan Pemda terkait pengembangan SMK berbasis kearifan lokal belum memadai; (2) implementasi kebijakan Pemda, antara lain: (a) monitoring dan evaluasi, (b) menyediakan unit gedung baru, (c) membuka kompetensi keahlian baru, (d) pemberian dana, (e) mengadakan Gebyar SMK se-Kota Mataram; dan (3) peran DUDI dalam pengembangan SMK antara lain: (a) penyelenggaraan prakerin siswa berjalan dengan baik. b) industri sebagai tempat pemagangan guru, c) industri terlibat dalam uji kompetensi siswa tingkat akhir dan tempat menyalurkan lulusan, d) belum ada kerja sama terkait penyediaan sarana dan prasarana, dan e) pengembangan kurikulum dalam bentuk workshop kurikulum. Kata kunci: peran DUDI, penyelenggaraan SMK, kearifan lokal THE ROLE OF BUSINESS AND INDUSTRY IN THE IMPLEMENTATION OF VOCATIONAL HIGH SCHOOL (VHS) BASED ON LOCAL WISDOM IN THE CITY OF MATARAM Abstract This research aims to know: (1) the role of business and industry in encouraging the product education policy of the local government in Mataram City for developing vocaational high school (VHS) based on local wisdom; (2) the implementation of VHS education policy with an appropriate local wisdom; and (3) the role of business and industry in developing VHS. The key informants in this research were the Head of Secondary Education Curriculum Sub-section, Principal, Vice Principal of Industry Public Relations, Industry Counsellors, and students. The data were collected by observation, in-depth interviews and documentation. The data analysis technique included data reduction, data display and conclusion drawing. The results showed that: (1) the role of business and industry in encouraging the regional government policy related to VHS development based on local wisdom had not been adequate; (2) the implementation of regional government policy were among others: (a) monitoring and evaluation, (b) providing a new building unit, (c) opening new expertise competencies, (d) providing funds, (e) conducting Gebyar SMK in the city of Mataram; and (3) the roles of business and industry in the development of VHS were among others: (a) the implementation of the students’ industrial practice ran well, (b) the industry as the place for teachers’ apprenticeship, (c) the industry was involved in students’ competency test at the end of the students’ study and as an institute which would recruit the graduates, d) there had not been any cooperation related to the provision of facilities and infrastructure, and e) curriculum development in the form of a curriculum workshop. Keywords: the role of business and industry, implementation of VHS, local wisdom
This study aims to describe the effectiveness of the Assessment for Learning (AfL) in improving the quality of learning and mathematics learning outcomes in elementary schools. This study used a quasi-experimental method with a non-equivalent control group design. The instrument used was a test instrument with good validity, reliability, difficulty level, and different power. The non-test instrument was valid and good. Data analysis was performed using descriptive statistics, mean difference test, and variance difference test on AfL learning outcomes. The results showed that the effectiveness of learning in implementing AfL could be influenced by assessment preparation, student involvement, and follow-up assessment. The quantitative analysis results show that AfL can improve student learning outcomes; there is no mean-variance in AfL learning outcomes; There are differences in learning outcomes, and there are no variants in learning with AfL and conventional assessments. Suggestions, it is necessary to plan the assessment process, diagnose student needs and abilities. Moreover, there is a need for follow-up and feedback to see achievements
This study aims to evaluate the implementation of a training program for youth in Solo Technopark, Central Java, Indonesia, and get important feedback and recommendations to increase its effectiveness. The evaluation method used is based on four levels of the Kirkpatrick model to assess: (1) participants' reaction to the training program (to the contents, facilitators, and facilities); (2) training participants' learning (knowledge and basic skills); (3) change of participant behaviors; and (4) succeed of the training participants based on competence skills and rate of graduate employability and employer’s satisfaction. Research respondents were 47 training participants from four optional courses at the reaction and learning level. There were 59 alumni, three training instructors, and one employer as the respondents at the behavior and results level. Data were collected using questionnaires, interviews, documentation, and an observation checklist. The data were analyzed using the quantitative descriptive analysis method. The study shows that: (1) at the reaction level, most training participants are satisfied with the training program, instructors, and facilities; (2) at the learning level, most participants have a good category in knowledge and basic skills; (3) at the behavior level, participants can implement the attitudes and major skills at a good level; (4) at the results level, alumni have high skills at workplaces; they have been employed in various industries, and the alumni's employability rate is less than 50%. To increase the low rate of employability in the labor market, Solo Technopark needs to improve alumni networking and collaboration with industries and employers.
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