scholarly journals The effectiveness dual system education program at 3 and 4 year vocational high school on improving mechanical engineering student achievement

2016 ◽  
Author(s):  
Amiruddin ◽  
Djoko Kustono ◽  
Syamsul Hadi ◽  
Djuanda
Keyword(s):  
High School ◽  
Student Achievement ◽  
Education Program ◽  
Mechanical Engineering ◽  
Dual System ◽  
Engineering Student ◽  
Vocational High School

scholarly journals ANALISIS PRESTASI BELAJAR MAHASISWA LULUSAN SEKOLAH MENENGAH UMUM DAN SEKOLAH MENENGAH KEJURUAN

2021 ◽  
Vol 18 (1) ◽  
pp. 29-44
Author(s):  
Sirajuddin Saleh ◽  
Jufari Jufari ◽  
Muh. Nasrullah
Keyword(s):  
High School ◽  
Student Achievement ◽  
High Schools ◽  
Senior High School ◽  
T Test ◽  
Vocational High School ◽  
Learning Achievement ◽  
Probability Sampling ◽  
Ex Post ◽  
Ex Post Facto

Abstrak: Analisis Prestasi Belajar Mahasiswa Lulusan Sekolah Menengah Umum dan Sekolah Menengan Kejuruan. Penelitian bertujuan untuk menganalisis perbedaan prestasi belajar mahasiswa lulusan Sekolah Menengah Umum dan Sekolah Menengah Kejuruan dan untuk menganalisis faktor yang mendukung dan menghambat prestasi belajar mahasiswa.. Subjek penelitian adalah mahasiswa pada program studi Pendidikan Administrasi Perkantoran Fakultas Ilmu Sosial Universitas Negeri Makassar. Penelitian ini menggunakan pendekatan kuantitatif,  jenis ex post facto dengan eksplanasi komparatif. Populasi pada penelitian ini sebanyak 335 mahasiswa. Sampel penelitian sebanyak 167 mahasiswa yang diambil menggunakan metode probability sampling.  Pengumpulan data menggunakan teknik observasi, wawancara, dan dokumentasi. Pengujian hipotesis menggunakan uji F, anava, dan t-Test. Hasil penelitian menunjukkan: 1) Prestasi belajar mahasiswa lulusan Sekolah Menengah Umum rata-rata 3,72 dan  lulusan Sekolah Menengah Kejuruan rata-rata 3,77; 2) Tidak terdapat perbedaan signifikan prestasi belajar antara mahasiswa lulusan Sekolah Menengah Umum dan Sekolah Menengah Kejuruan; 3) Faktor-faktor pendukung prestasi belajar meliputi: motivasi belajar, inteligensi, konsentrasi, tujuan yang ingin dicapai, rajin kuliah dan mengerjakan tugas, keaktifan dalam perkuliahan, manajemen waktu yang baik, suasana belajar yang kondusif, dan hubungan mahasiswa dengan dosen. Faktor penghambat: malas, jarak tempat tinggal yang jauh, persepsi mahasiswa salah jurusan, jadwal  kuliah sore, dan metode pembelajaran yang monoton. Kata kunci: prestasi belajar; indeks prestasi komulatif; hasil belajar; sekolah menengah umum; sekolah  menengah kejuruan.  Abstract: Analysis of Student Achievement of Graduates of Senior High School and Vocational High School. The research aims to analyze the differences in the learning achievement of students who graduate from Senior High School and Vocational High School and to analyze the factors that support and hinder student achievement. The research subjects are students in the Office Administration Education study program, Faculty of Social Sciences, Makassar State University. This research uses a quantitative approach, ex post facto type with comparative explanation. The population in this study were 335 students. The research sample was 167 students who were taken using probability sampling method. Collecting data using observation, interview, and documentation techniques. Hypothesis testing uses the F test, ANOVA, and t-Test. The results showed: 1) The learning achievement of students graduating from Senior High School was 3.72 on average and Vocational High School graduates had an average of 3.77; 2) There is no significant difference in learning achievement between students who graduated from Senior High School and Vocational High School; 3) Supporting factors for learning achievement include: learning motivation, intelligence, concentration, goals to be achieved, diligent in studying and doing assignments, activeness in lectures, good time management, a conducive learning atmosphere, and student relations with lecturers. Inhibiting factors: laziness, distance to live far away, student perceptions of misdirection, afternoon class schedules, and monotonous learning methods. Keywords: learning achievement; grade point average; learning outcomes; senior high schools; vocational high schools.

scholarly journals The Influence of Interest in Choosing the Mechanical Engineering Vocational Program in Vocational High Schools

2019 ◽  
Vol 5 (1) ◽  
pp. 20
Author(s):  
Putri Wulan Juliana ◽  
Thomas Sukardi
Keyword(s):  
High School ◽  
High School Students ◽  
Significant Influence ◽  
Research Method ◽  
Mechanical Engineering ◽  
Descriptive Analysis ◽  
Vocational High School ◽  
School Students ◽  
Vocational Program ◽  
Vocational High Schools

This research aimed to find out the influence of students’ interests in choosing the mechanical engineering vocational program. The research method used was descriptive quantitative. The population in this study were all Grade X students in Yogyakarta which total number were 180 respondents. The data collecting technique was using questionnaires which then was analyzed using descriptive analysis and regression. The results of this study were (1) Students’ interests in choosing mechanical engineering vocational program was high. (2) There was a positive and significant influence from students’ own understanding, family, school, and society towards students’ interests in choosing the mechanical engineering vocational program, (3) The four variables, together, have positive and significant influences towards vocational high school students’ interests in choosing the mechanical engineering vocational program in Yogyakarta..

FASILITAS BELAJAR DAN MANAJEMEN KELAS SEBAGAI DETERMINAN TERHADAP PRESTASI BELAJAR SISWA

2018 ◽  
Vol 3 (2) ◽  
pp. 66
Author(s):  
Citra Anggraini ◽  
Nani Imaniyati
Keyword(s):  
High School ◽  
Student Achievement ◽  
Data Analysis ◽  
Classroom Management ◽  
Strong Influence ◽  
Analytical Techniques ◽  
Analysis Data ◽  
Survey Method ◽  
Vocational High School ◽  
Improve Student Learning

This paper reviews specifically about learning facilities and classroom management as factors that allegedly affect student achievement. Analytical techniques used using multiple regression and product moment correlation is a technique of data analysis to know the contribution of each variable. Based on the results of the analysis, data were collected through survey method using a closed answer questionnaire, while the respondents were 78 students of Vocational High School in Cimahi. The results of the analysis show the learning facilities and classroom management partially take effect strong enough. While the results of the analysis simultaneously showed a strong influence.  From the results of this study can provide implications for the school as well as teachers as one reference to improve student learning achievement optimal.ABSTRAKTulisan ini mengkaji secara khusus tentang fasilitas belajar dan manajemen kelas sebagai faktor yang diduga mempengaruhi prestasi belajar siswa. Teknik analisis yang dipergunakan menggunakan regresi ganda dan korelasi product moment yang merupakan teknik analisis data untuk mengetahui kontribusi setiap variabel. Berdasarkan hasil analisis, data dikumpulkan melalui metode survey dengan menggunakan angket jawaban tertutup, adapun yang menjadi responden adalah 78 siswa Sekolah Menengah Kejuruan di Cimahi. Adapun hasil analisis menunjukkan fasilitas belajar dan manajemen kelas secara parsial berpangaruh cukup kuat. Sedangkan hasil analisis secara simultan menunjukkan pengaruh yang kuat. Dari hasil penelitian ini dapat memberikan Implikasi bagi pihak sekolah maupun guru sebagai salah satu acuan untuk meningkatkan prestasi belajar siswa yang optimal.

scholarly journals Intelligent Computing System to Predict Vocational High School Student Learning Achievement Using Naïve Bayes Algorithm

2019 ◽  
Vol 4 (1) ◽  
pp. 15
Author(s):  
Admaja Dwi Herlambang ◽  
Satrio Hadi Wijoyo ◽  
Aditya Rachmadi
Keyword(s):  
High School ◽  
Student Achievement ◽  
Student Learning ◽  
Naive Bayes ◽  
Computing System ◽  
Naïve Bayes ◽  
Vocational High School ◽  
Intelligent Computing ◽  
Bayes Algorithm ◽  
Intelligent Computing System

Vocational High School with ICT major need an intelligent computing system that could predict the student learning achievement. The system used fifteen achievement indicators and Naïve Bayes algorithm in data processing. Testing on student achievement data produces the conclusion that is the highest intelligent accuracy values in 53% with lowest accuracy value in 48% based on Naïve Bayes algorithm processing. The result of mining process using Naïve Bayes algorithm can be used to classify the 3rd year student achievement to five categories. These categories are Very Good, Good, Fair, Poor, and Failed. The system testing result showed that this intelligent computing system function was fitted with Vocational High School’s system requirement, system design, and system implementation.

scholarly journals The Influence of Learning Motivation on Student Achievement Studying Economics at Mahadika Ciracas Vocatioanl High School

LITERATUS ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 10-13
Author(s):  
Syarifah Nurul Mulki
Keyword(s):  
High School ◽  
Student Achievement ◽  
Hypothesis Test ◽  
Learning Motivation ◽  
Accounting Students ◽  
Coefficient Of Determination ◽  
Vocational High School ◽  
Know How ◽  
Descriptive Approach ◽  
Count Table

This research aimed to know how big effect of learning motivation on student achievement studying economics at Mahadika Ciracas vocational high school. The research used a quantitative method  with descriptive approach. Population in this research is all of accounting students X grade 1 and 2 at SMK Mahadhika Ciracas with a total of 67 students. Because the sample is less than 100, the entire population is also used as a research sample. To test data analysis using method of Product Moment Correlation, Coefficient of Determination and Hypothesis test. Conlucions is there are no effect between the influence of learning motivation on student achievement studying economics at mahadika ciracas vocational high school. It can be the results of t_ count = 0.533 with t_ table = 1,670 at the level of 5% = and dk = N-2 = 67-2 = 65, so the value of  t-count ≤ table. Which means that Ha was rejected  and Ho was accepted.

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