Independence Test and Plots in Correspondence Analysis to Explore Tracer Study Data

The results of the exploration of tracer study data can be used as information about the career of graduates and the relevance of work to the field of study as well as the competencies obtained before graduation. The question items discussed were a description of the time and process of looking for a job, the length of time to get the first job, the relationship between length of study, gender, field of work, total income, alumni's perception of the closeness of the field of study to work, the suitability of the level of education on the job, and average level of competence. The aim of this study was to analyze the relationship between these variables in the 2020 tracer study data from graduates of all faculties at Sriwijaya University. Respondents studied were 2,669 people. The method used is descriptive statistics, biplot analysis, independence test and plots by simple correspondence analysis. Respondents' perceptions of the suitability of the level of education in employment are related to gender and also with respondents' perceptions of the closeness of the field of study to the field of work. Meanwhile, respondents' perceptions of the closeness of the field of study with work are related to the field of work. The average length of study, the average number of job applications, the number of companies or agencies that responded to applications, and invited interviews for female respondents were lower than male respondents.

Analysis of Factors Related to Occurrence of Retaker UKMPPD Faculty of Medicine, University of Sriwijaya

Medical education is a conscious and planned effort in formal education to produce graduates who have competencies in the fields of medicine or dentistry. Medical students who have gone through the undergraduate and professional stages of the doctor must take the competency exam (UKMPPD). The medical faculty of Sriwijaya University in the November 2016 period in the UKMPPD which was attended by 41 participants, found that only 9 people had successfully passed the competency exam. In Indonesia, the number of UKMPPD participants who have not graduated (retaker) at the end of 2017 is 2,494. This indicates that the number of UKMPPD retaker is still high in the Indonesian medical faculty. Student competency test results can be influenced by external factors and internal factors which include the value of try out, Grade Point Average (GPA), learning style, tutoring, length of study period, anxiety, family support and peer support. This research was conducted to identify factors related to the retaker of UKMPPD students at FK Unsri. The type of research used is quantitative analytical research with cross-sectional design with consecutive sampling technique. The population of this study were students who took the UKMPPD in January-October Unsri FK in 2018. The study sample was a portion of the students who took part in the UKMPPD FK Unsri Sriwijaya in 2018, amounting to 50 people. Data collected are primary data using questionnaires. Data analysis using univariate and bivariate analysis using the Chi-Square test. From this study obtained p-value <0.05 for the GPA variable, try out value, length of study period and anxiety. These results indicate that there is a significant relationship between GPA, try out value, length of study period and anxiety with the occurrence of UKMPPD retaker. While the learning and learning style variables obtained p-value> 0.05 which showed that there was no significant relationship between learning styles and learning guidance with the occurrence of the retaker student of UKMPPD of FK Unsri. There is a meaningful relationship between GPA, try out value, length of study period and anxiety with the occurrence of UKMPPD retaker student of FK Unsri and there is no significant relationship between learning styles and learning guidance with the occurrence of UKMPPD retaker student of FK Unsri.

Implementation of K-Means clustering algorithm in mapping the groups of graduated or dropped-out students in the Management Department of the National University

This study aims to determine the characteristics of students who are likely to graduate or drop out (DO) in the management department of the National University, Jakarta. The study was conducted by implementing the K-Means algorithm, where each data is grouped according to the closest distance to the centroid. Determination of Cluster C1 graduate or C2 drop out is based on the attributes of status of students (active, leave, out and non-active), educational status (graduated or DO), GPA, total credits taken and length of study. To facilitate the clustering process, Orange tools are used that provide K-Means algorithm features. The total data input in this study were 1988 students from various classes. As a result, a pattern or mapping of graduated or DO students was found based on the attributes mentioned earlier. Testing the results of this cluster with the silhouette method, by measuring the distance between cluster members, both C1 and C2, showed good Silhouetter value, reaching 85%. The management department, National University can use the results of this study to predict the graduation of their students.

The CORRELATION BETWEEN PRODUCTIVE AND RECEPTIVE LANGUAGE SKILLS: AN EXAMINATION ON ADFELPS TEST SCORES

ADFELPS Tests has been widely used as a predictive test to help stakeholders in making decisions in levelling Indonesian defence attachés’ English proficiency before they are assigned abroad. Despite the significant demands in examining the test for the purpose of informing the test users about the army officers’ English competence, little research has attempted to evaluate this standardized test. The present study, therefore, aimed to analyse the connection between the receptive and productive language skills of the test. Besides, it is also keen to explore whether test takers’ age, frequency of test-taking and length of study affect their scores and which part of the test is the most difficult to complete. Thirty military officers participated by submitting their ADFELPS Test scores and answered a designed questionnaire. IBM SPSS 2.5 software was used to perform a variety of analysis procedures such as the Pearson correlation analysis, an Analysis of Variance (ANOVA) and an independent t-test procedure. It revealed a strong relationship between ADFELPS test score of language receptive skills (listening and reading) and the productive skills (speaking and writing) and listening is the dominant skill that correlates with all other language proficiency skills. Second, listening skill is particularly considered as the most difficult skill to acquire due to its complexity in the language learning process. Finally, participants’ age and their experiences of taking the test do not bring a significant impact on the improvement of ADFEPLS achievement score. In contrast, length of study preparation has helped test takers in increasing their test scores.

Logistic Model Tree and Decision Tree J48 Algorithms for Predicting the Length of Study Period

One point to be assessed in the accreditation process in an institution is the length of the student's study period. The Informatics department in XYZ college has been accredited by the national accreditation bureau for higher education (BAN-PT), but the accreditation has the potential to be improved. One thing that affects the accreditation value is many students did not graduate on time. Therefore, the current study used available student data, both academic and non-academic, using data mining. Two model classifications were used, i.e. Logistic Model Tree (LMT) and Decision Tree J48. The study was aimed to compare LMT and Decision Tree J48 algorithm in predicting the length of student’s study and to find out the influence factors. The data were Informatics Engineering students who have graduated in February 2018 to February 2019 (135 records). Results showed that the LMT algorithm produced an accuracy rate of 71% better than Decision Tree J48 (62.8% accuracy) in predicting the length of the student’s study. The factors influencing the length of study of students are temporary grade point average (GPA) of the first semester, temporary GPA of the second semester, organizational status, and employment status.