National Examination Scores Research Articles

THE EFFECT OF SELF REGULATED LEARNING, HIGH SCHOOL MAJORS, AND NATIONAL EXAMINATION SCORES ON ACADEMIC ACHIEVEMENT OF ACCOUNTING STUDENTS IN JAKARTA

The purpose of this research is to determine the impact of self-regulated learning (SRL), high school majors and national examination scores on academic achievement of accounting students in Universities in Jakarta. The data is collected with questionnaires with random sampling method and the samples obtained are 150 samples. The method of analysis is by using multiple linear regression. The results show that there is no significant relationship between self-regulated learning (SRL) and academic achievement (AA), high school majors (HSM) show results that have a negative and significant effect on academic achievement, while for the national examination scores (NES), it can be concluded that there is significant positive relationship between the national examination scores and academic achievement.

Sistem Pendukung Keputusan Pemilihan Jurusan Di SMA Muhammadiyah 4 Kota Bengkulu Menggunakan Metode Saw

In choosing a major at Muhammadiyah Public High School (SMA) Bengkulu City, there are several factors to consider. This assessment is carried out in several stages, namely National Examination (UN) scores, Competency Test scores, and Color Blindness Test scores. In this case, the purpose of building a decision support system is to determine student majors according to their abilities using the Simple Additive Weighting (SAW) method. Where the assessment criteria of students are compared with one another so as to produce a decision support system that provides an assessment in the selection of students in choosing majors. The decision support system helps in determining majors, making it easier to make decisions related to the selection of majors by using the Simple Additive Weighting (SAW) method, so that students get majors that match their competencies.

Structural Causality Between National Examination Score and The School Accreditation Categories

This study aims to compare and determine the best model to describe the relationship between National Education Standard (NES) and CBNE scores using generalized structured component analysis. Model 1 describes the causal relationship between the NES and CBNE based on the educational theory of the Ministry of National Education and the Ministry of Religion (2010), Model 2 describes the causal relationship between the NES and CBNE based on the educational theory of the Ministry of Education and Culture (2012), and Model 3 describes the causal relationship between the NES and CBNE based on the educational theory of the Ministry of Education and Culture (2017). The results of the structural model evaluation have found that in Model 1, the SI path coefficient to Academic Achievement (PA) is not significant, in Model 2, the SI path coefficient to PA and SPT to SPN is not significant and in Model 3, the SI path coefficient to PA is also not significant. The coefficient of determination of each endogenous latent variable for each model ranges from 0.20 - 0.75. While the resulting Q-square value for all models is more than 0.9 to represent very good predictive relevance. Based on the overall goodness of fit, it is found that Model 3 produces the largest FIT and AFIT values. So it can be said that model 3 is better than other models. This model produces 11 invalid indicator variables, namely points 17, 39, 51, 55, 57, 59, 73, 75, 76, 80, and 108. The study found that National Education Standards that significantly affect academic achievement are graduate competency standards, process standards, and educational assessment standards

ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL OPERASI PECAHAN BENTUK ALJABAR SMP

According to the national examination (UN) scores for Junior High School in East Sumba in 2019, it can be seen that the percentage of student’s math scores based on the comparison of test scores with graduation standards is still very low. In view of the problem, studies are conducted to describe a student’s error, describing the factors that cause students to make mistakes in solving problems, and planning follow-up actions to minimize student errors when operating addition and subtraction of algebraic fraction. This type of research is qualitative approach. The technique of determining the student’s research subject uses the cluster sampling technique with sample 5 students. The technique of collecting data is done by writing tests, interviews and documentary studies. The results showed that according to Newman’s five types of errors, student made 5 types of errors, and the most common mistakes were in encoding error of 1,53%, then processing skill error 2,33%; transformation error 2,5%; comprehension error and reading error 3,1%.

National Resident Matching Program Performance Among US MD and DO Seniors in the Early Single Accreditation Graduate Medical Education Era.

Introduction: As of the 2020 National Resident Matching Program (NRMP), nearly all applicants are evaluated together for graduate medical education (GME) candidacy. We set out to characterize US MD and DO Senior residency match performance in the single-accreditation GME era.Methods: A retrospective study was conducted in 2021 utilizing data collected from the 2018 and 2020 NRMP Charting Outcomes in the Match publications aggregated and subdivided into three groups based on competitiveness: low (LC), moderate (MC), and high (HC). Nonparametric analysis was performed using Chi square or Fisher exact tests if counts were less than five. Significance was determined at p < 0.05.Results: A total of 46,853 candidates were included, with 36,194 (77.3%) US MD and 10,659 (22.7%) DO Seniors. Match rates for US DO Seniors were lower than US MD Seniors across all competitiveness strata (p < 0.0001). Research item production, national licensing examination scores, and mean number of contiguous programs ranked were lower for matched US DO Seniors compared to matched US MD Seniors, with significant differences depending on competitiveness group.Conclusions: With recent changes to GME and its application process, understanding how various groups compare will be increasingly important. US DO Seniors have lower first-rank match rates for all specialty competitiveness levels. This may be due to lower research output or nuanced specialty selection. This study could aid GME stakeholders to more effectively allocate resources and better prepare residency candidates.

PEMILIHAN PEMINATAN DAN LINTAS MINAT OLEH SISWA SMA NEGERI 1 DAN 5 KOTA BUKITTINGGI

This study aims to look at the Selection of Specialization and interest of the interest by students in SMA Negeri 1 and 5 in Bukittinggi City. His type of research is classified as a qualitative descriptive the population of this study were curriculum representative, teachers geographers, counseling teachers, and students at SMAN 1 Bukittinggi and SMAN 5 Bukittinggi. Data collection used documentary observations, and interviews, while data analysis used field notes, data reduction, and data presentation. The results of this study are 1) The procedure for selecting interests and cross interest at SMAN 1 Bukittinggi uses a system with learning outcomes and national examination scores whilein junior high school, While for SMAN 5 Bukittinggi it uses several steps such as filling out a questionnaire, psychological test and maintest, instructur from counseling teachers, and results. Student learning and national examination scores during junior high school for cross interest geography was not available in both schools due to already exceeding teacher hour and a lack of teachers to teach, 2) The role of students in the selection of interests and interests in SMAN 1 and SMAN 5 Bukittinggi city according to the fields and interests of each of the students themselves, 3) The role of geography and BK teachers in SMAN 1 Bukittinggi with on student learning outcomes and national examination scores during junior high school, while SMAN 5 Bukittinggi plays a major role in the selection of interests and cross intetrests using four system. Keywords: Interests, specialization, students

The Influence of Mathematics National Examination Scores on Grade Point Average, Mathematics Anxiety, and Self-Regulated Learning of 2018 Second Year Students

The purpose of this study is to determine the effect of the national mathematics exam scores on grade point average (GPA), mathematics anxiety, and self-regulated learning of the second-year students of Mathematics Education study program, Faculty of Teacher Training and Education at Nusa Cendana University in a multivariate manner. This study is correlation research which was conducted at the Faculty of Teacher Training and Education of Nusa Cendana University. The population in this study were the mathematics education program students, Teacher Training and Education Faculty of Nusa Cendana University. The samples consist of 73 students. Data collection techniques used in this research are online questionnaires and documentation methods. Data analysis techniques used in this research are simple linear regression analysis and multivariate analysis of variance (MANOVA) and also hypothesis testing using the t-test and probability level. The result shows that (1) tvalue&lt;ttable = 0,397&lt;1.99394 so that there is no significant influence of the national mathematics exam scores on the students’ GPA, (2) tvalue&lt;t table = -0.270&lt;1.99394 so that there is no significant influence of national examination scores on mathematics anxiety, (3) tvalue&lt;t table = 0,560&lt;1.99394 so that there is no influence between the national math test scores on self-regulated learning, and (4) the MANOVA test shows that the GPA has a significance level of 0.693&gt;0.05, while mathematics anxiety shows a significance level of 0.848&gt;0.05, and self-regulated learning shows a significance level of 0.540&gt;0.05. In conclusion, the national mathematics exam scores in a multivariate manner do not influence the GPA, mathematics anxiety, and self-regulated learning.

Pelatihan Penggunaan Perangkat Lunak GeoGebra dalam Pembelajaran Matematika bagi Guru-guru SMA di Wilayah Insana dan Biboki

Average National Examination score in 2019 for Mathematics Study Program territory North Central Timor (TTU) was 31.15. This achievment is the lowest average score of the other exams, both at the level TTU district, NTT province, and Nationals. Low learning innovation and teacher creativity often become problems in learning mathematics. Some schools in TTU have average scores below the district average that is Biboki dan Insana selected and trained to utilize software GeoGebra. This training begins with an introduction about GeoGebra and followed by training to solve various mathematical problems using GeoGebra. Then the proses follow-up with distribution of GeoGebra tutorial videos and ongoing mentoring and guidance. After training, 52.38% of partisipants ready to use GeoGebra in their lessons.

ResumeVis Interactive Visualization of Resumes Based on Multi-Source Data

Resumes are critical for individuals to find jobs and for HR to select staffs. To explore the career patterns and demographic information correlation, 372,829 Chinese resumes working in Beijing in 2015 are collected with rich attributes. Besides, 1,837,281 documents in the People's Daily from May 1946 to December 2015 and the national college entrance examination scores of 42 majors in 27 Beijing universities from 2005 to 2015 are collected to build the multi-source dataset to assist resume data mining. The decade characteristics and major characteristics are explored from the multi-source dataset. Based on the data observation, an interactive visualization system called ResumeVis is developed to explore career patterns in the context of the times, especially the correlations among the resume attributes. The system is helpful for both job seekers and human resources.

Generalized Linear Mixed Models by penalized Lasso in modelling the scores of Indonesian students

The Generalized linear mixed model (GLMM) is an extension of the generalized linear model by adding random effects to linear predictors to accommodate clustered or over dispersion. Severe computational problems in the GLMM modelling cause its use restricted for only a few predictors. When many predictors are available, the estimators become very unstable. Therefore, the procedure for selecting relevant variables is essential in modelling. The use of penalty techniques for selecting variables in mixed models is still rarely applied. In this article, the penalized Lasso approach proposed to handle these kinds of problems. The proposed methods select variables and estimate coefficients simultaneously in GLMM. Based on the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and standard error criteria, it was found that glmmLasso has a better performance than GLMM. For the factors affecting Indonesian’s student scores, where glmmLasso produces three significant covariates for the GLMM model while GLMM without penalized Lasso has five covariates, which means that the GLMM model is more complicated than glmmLasso. Gender, school quality based on National Examination (UN) scores and the opportunity for students to investigate to test their ideas are essential covariates as factors that influence the rating of Indonesian students.

The Correlation between School Accreditation and Students’ English Achievement of Public Senior High Schools

The objectives of the study were (1) to find out whether or not there was a significant correlation between accreditation and students’ English achievement of public senior high schools in Palembang, and (2) to find out whether or not there was a contribution of accreditation on students’ English achievement. The population of 18 accredited public senior high schools in Palembang in 2016 with 3556 students of 12th grade were selected to be the sample of the study by using the purposive sampling technique. The data of the accreditation list and students’ English national examination scores were taken from BAP S/M (The Education Accreditation Board) and Ministry of Education and Culture of Indonesia. To analyze the data, Pearson Product Moment Correlation Coefficient to find out whether or not there was a correlation between the two variables. The result showed that (1) there was no significant correlation between school accreditation and students’ English achievement (r-obtained 0.406 and p-value 0.095), and (2) there was 16.4% contribution of school accreditation on student’s English achievement.

GAMBARAN PENDEKATAN PEMBELAJARAN BIOLOGI KURIKULUM 2013 DI SMA SWASTA SE-KABUPATEN PURWOREJO

The purpose of this study was to determine the description of the Biology learning approach applied in private high schools throughout Purworejo Regency and the factors that support and hinder the learning activities of Biology with the learning approach in private high schools throughout Purworejo Regency. Research methods are surveys and interviews related to the Biology Learning approach conducted in private high schools throughout Purworejo Regency. The research instrument was a non-test instrument and the data obtained were qualitative and quantitative data in the form of Biology National Examination (UN) scores which were analyzed using descriptive statistics. The results obtained are (1). The approach used in Biology Learning in private high schools throughout Purworejo Regency is the Scientific Approach and the Natural Exploration Approach, while the Local Wisdom and Cultural Approach is rarely used. (2). Biology National Examination (UN) scores do not depend on the applied learning approach. This is because the learning outcomes of the Biology UN which are the benchmarks in this study cannot be used as a description of student learning outcomes (cognitive, affective, psychomotor) as a whole. (3). Factors that support and hinder the process of implementing the learning approach are the learning process, motivation, time and the ability of students..

Indonesian as the Language of ASEAN During the New Life Behavior Change 2021

Indonesian is studied and used as a language in ASEAN because Indonesian is the lingua franca. In WordPress posts, the Indonesian language ranks third after English and Spanish. However, the attitude of native Indonesian speakers is still negative, so the Indonesian language UN scores (30% do not pass) are lower than the English national examination scores (only 5% do not pass). The purpose of this research is to describe the tendency of using Indonesian in ASEAN. The research data is in the form of information about the use of Indonesian in ASEAN. The data were collected online from members of 5 (international) communities, such as MLI, KSLI (alumni), AMCCA, and lecturers who had assisted students during internships through SEA teachers, SEAMEO, and youth exchanges with partner universities. This research data analysis using the Delphi technique and inter-subjectivity test. The findings are based on the panelist reliability test with a value of 0.7441 greater than 0.70, it is concluded that the model is consistent. Besides, the model reliability test was also carried out, and the result was that the value of r11 = 0.874 was greater than 0.70, so the model was reliable. The tendency in the use of Indonesian in ASEAN carries native speakers of conditioning results (nurture nativism) with the tendency as mentioned above is valid and reliable.

ANALISIS CAPAIAN BELAJAR SISWA SMAN DI INDONESIA TAHUN 2019 DENGAN PEMODELAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION

Capaian belajar siswa secara nasional selama ini diukur dengan hasil Ujian Nasional (UN). Sebaran nilai UN siswa SMAN di Indonesia cenderung tidak merata, dimana capaian belajar yang tinggi hanya berada di pulau Jawa. Ironisnya, wilayah di Kawasan Timur Indonesia memiliki rata-rata nilai UN yang sangat rendah. Hal yang menarik bahwa wilayah dengan kategori nilai yang sama cenderung berdekatan dan mengindikasikan terdapat efek kewilayahan pada capaian belajar di Indonesia. Penelitian ini menganalisis karakteristik dan faktor-faktor yang memengaruhi capaian belajar siswa SMAN tingkat kabupaten/kota di Indonesia tahun 2019 dengan pendekatan model mixed Geographically Weighted Analysis (mixed GWR). Hasil penelitian mendapatkan bahwa terdapat efek autokorelasi spasial dan heterogenitas spasial dalam pemodelan nilai UN SMAN tingkat kabupaten/kota dan faktor yang memengaruhinya di Indonesia pada tahun 2019. Analisis menggunakan metode mixed GWR menghasilkan variabel kondisi bangunan ruang kelas, rasio siswa per kelas, dan nilai Uji Kompetensi Guru memengaruhi capaian belajar secara lokal di tiap kabupaten/kota. Sementara, PDRB per kapita berpengaruh secara global terhadap capaian belajar. Saran yang diberikan yaitu perbaikan bangunan ruang kelas, distribusi jumlah siswa per kelas dan sebaran guru berkemampuan tinggi yang lebih merata. Selain itu, perlu diadakan bentuk ujian yang lebih dapat menggambarkan kualitas pendidikan di Indonesia, sebagai pengganti Ujian Nasional.

Biplot analysis for marking the quality of schools which compatible with national examination score

The issue of national examinations has always been a matter of debate, because the scores are only used to determine the passing scores of students without follow-up. This study aims to map the quality of schools in accordance with national exam scores, and describe the relationship between national exam scores and influential variables. Data were taken from 22 high schools in Malang and Malang regencies with a population of 5396 people and a sample of 359 people. Data were analysed with a biplot package based on Mathematica programming, by combining scores and national deviation examination standards. Mapping the quality of schools is compatible with the national exam scores. It is obtained by the biplot with standard variables. The results obtained show that there is the compatibility of the rankings, and there is a significant positive correlation between all schools.

Penggerombolan Hasil Ujian Nasional Menggunakan K-Rataan Samar

National examination scores can be a basis for the government to make a mapping of education quality in order to increase it. The mapping can be done by using fuzzy cluster analysis. The objective of this experiment is to cluster districts/cities in Indonesia based on national examination score in natural and social science in 2014/2015 until 2017/2018 school year by using the fuzzy c-means method. The evaluation criteria that will be used are the standard deviation ratio, silhouette coefficient, and Xie Beni index. The best cluster size is two clusters, A and B. The clustering result shows cluster A has a higher mean from each subject than cluster B. Therefore, cluster A will be categorized as good, whereas cluster B as bad. The proportion of districts/cities that belong to cluster A decreased each year. The final cluster result can be determined by the mean of its degree of membership from those four school years. The analysis results show that the distribution of education quality is dominated in Java Island and squatter cities. East Nusa Tenggara, West Sulawesi, Central Sulawesi, and North Kalimantan don’t have any districts/cities belong to cluster A.

Pengaruh Nilai Ujian Nasional Matematika terhadap Indeks Prestasi Kumulatif, Mathematics Anxiety dan Self-Regulated Learning

The purpose of this study is to determine the effect of the national mathematics exam scores on grade point average (GPA), mathematics anxiety, and self-regulated learning of the second-year students of Mathematics Education study program, Faculty of Teacher Training and Education at Nusa Cendana University in a multivariate manner. This study is a correlation research which was conducted at the Faculty of Teacher Training and Education of Nusa Cendana University. The population in this study were the mathematics education program students, Teacher Training and Education Faculty of Nusa Cendana University. The samples consist of 73 students. Data collection techniques used in this research are online questionnaires and documentation methods. Data analysis techniques used in this research are simple linear regression analysis and multivariate analysis of variance (MANOVA) and also hypothesis testing using the t-test and probability level. The result shows that (1) tvalue&lt;ttable = 0,397&lt;1.99394 so that there is no significant influence of the national mathematics exam scores on the students’ GPA, (2) tvalue&lt;t table = -0.270&lt;1.99394 so that there is no significant influence of national examination scores on mathematics anxiety, (3) tvalue&lt;t table = 0,560&lt;1.99394 so that there is no influence between the national math test scores on self-regulated learning, and (4) the MANOVA test shows that the GPA has a significance level of 0.693&gt;0.05, while mathematics anxiety shows a significance level of 0.848&gt;0.05, and self-regulated learning shows a significance level of 0.540&gt;0.05. In conclusion, the national mathematics exam scores in a multivariate manner do not influence the GPA, mathematics anxiety, and self-regulated learning.&#x0D; Keywords: gpa, manova, mathematics anxiety, mathematics national examination scores, self-regulated learning, simple linear regression analysis

STRATEGI MENINGKATKAN MUTU PENDIDIKAN DI MADRASAH ALIYAH HASAN JUFRI

The writing of this article is motivated by the demands of a quality educational institution that can create quality human resources. Madrasah Aliyah Hasan Jufri, the only Madrassa Aliyah with the largest number of learners in Bawean Island is required for its role to realize that expectation. This research uses descriptive method with qualitative approach. Data is taken through observation, interview and documentation. Respondents consisted of madrasah head, deputy head of madrasah, head of administration, head of library and some teachers. The result of the research shows that the strategy to improve the quality of education in Madrasah Aliyah Hasan Jufri is to improve the quality of teachers, increase academic and non academic achievement, increase the achievement of National Examination score and the achievement of School Exam as well as the improvement of infrastructure facilities. Supporting factors in improving the quality of education are qualified teachers of education S1 and some S2 in accordance with subjects that diampu, madrasah have education programs and clear division of tasks, infrastructure, climate and a conducive environment and great support from Yayasan Pondok Pesantren Hasan Jufri. Inhibiting factors are still low student learning motivation, employee resource has not maximal, low level of teacher discipline and fund availability still less. Efforts made in improving the quality of education are intensifying guidance and counseling activities, creating an exciting learning atmosphere, rewarding outstanding students, involving relevant staff in training activities, and applying an electrical attendance system for teachers and employees.

DOES INTERNET USAGE FREQUENCY GIVE IMPACT TO STUDENT’S ACADEMIC PERFORMANCE?

In the last decade, the development of technology has been growing rapidly. Internet—as a part of technology—became one of the very important things for many people. The usage of internet had been increasing in the last few years. It happened to people with various backgrounds and ages around the world. There is an interesting phenomenon that nowadays internet usage behavior is not only happened to adult but also happened to student at school. Some studies have found that internet usage had negative effect on student’s academic performance. But another study emphasized that positive internet usage behavior gave significant effect on academic outcome. In this study, we distinguish internet usage behavior into two categories, viz. general internet user and professional internet user. General internet user refers to internet usage behavior that focus on communication and entertaining purposes. Otherwise, professional internet user refers to productive activities in using internet like searching for information and doing some works that are relevant to assist finishing academic’s tasks. This study aims to find the influence of internet usage—general and professional—on student’s academic performance in Indonesia. Internet usage behavior measured by 2019 Student’s National Examination Survey from Center for Educational Assessment Indonesia. While, student’s academic performance represented by 2019 Indonesian National Examination Score. In addition, studies found that student’s socio-economic status (SES) had influence on their pattern of internet use. Then, this study determined SES as control variable in order to find comprehensive explanation about impact of internet usage on student’s academic outcome.

Application of a combination between Principal Component Analysis and Logistic Regression Based on Support Vector Machine on Educational Data Mining with Overlapping Data Problem

In 2019, the government of the Republic of Indonesia issued a zoning-based policy for New Student Admissions (PPDB) from the level of elementary school (SD) to high school (SMA), especially for public schools. The policy is documented in Permendikbud No.51 / 2018. The government policy aims to ensure the equality of education and make prospective students not focus only on favorite schools. However, this policy raises new problems. One of them is that if the potential student has got a medium UN (National Examination) score or medium distance of the house to the destination school, then his potential to be accepted at the destination school is very small. It is even worse if the potential students do not know the lowest score and the farthest distance the destination school can accept. Thus, potential students will choose schools by only guessing without basing on valid data, so their chances of being accepted will be very small. This current research focused on Educational Data Mining at PPDB Public High School (SMA) in Jombang in the academic year 2019/2020 which aims to accommodate the needs of potential students to predict the destination schools based on their own grades and home distances using classification techniques of data mining. However, another problem emerged in this study. An overlapping data occurred where one data was also owned by more than one class. For example, a potential student of SMA Negeri 2 Jombang (SMAN 2 Jombang) has got a score of 80 in Bahasa Indonesia subject, which is the same as that of a student from SMA Negeri 3 Jombang (SMAN 3 Jombang). Data overlapping does not only occur in one data but almost all of the data. The data used in this study were 600 data, consisting of 308 from PPDB 2019 of SMAN 2 Jombang, and the rest were from SMAN 3 Jombang. The attributes used were the home distance from the destination school, overall UN scores, UN scores of Mathematics, Natural Sciences, Bahasa Indonesia, and English subjects. The algorithm used was a combination of Principal Component Analysis (PCA) with Logistic Regression (LR)-based Support Vector Machine (SVM) with Anova kernel. The validation applied 10-fold cross-validation and the evaluation of algorithm performance used the aspects of accuracy, precision, and recall. The results of this current study showed an accuracy of 94.33%, a precision of 96.28%, and a recall of 92.53%. The results were better than those that did not apply PCA (70.83% accuracy, 69.62% precision, and 76.62% recall). By PCA, data could be seen from another angle that could separate or differentiate one class from the others. Even though there were 100% overlapping data, none of them, from all attributes, was 100% exactly the same.