scholarly journals Classification Analysis Using C4.5 Algorithm To Predict The Level of Graduation of Nurul Falah Pekanbaru High School Students

2019 ◽  
Vol 2 (2) ◽  
pp. 43
Author(s):  
Fana Wiza ◽  
Bayu Febriadi
Keyword(s):  
High School ◽  
High School Students ◽  
Decision Tree ◽  
Graduation Rates ◽  
Graduation Rate ◽  
School Students ◽  
C4.5 Algorithm ◽  
Student Graduation ◽  
Decision Tree Method ◽  
Tree Method

School as one of the processes for implementing formal education is required to carry out the learning process optimally to produce quality students. Regarding the research process carried out to predict the graduation rate of SMA Nurul Falah students by using the decision tree method. The data used in this study are student data using the criteria for student names, majors, average report cards from semester one (I), two (II), three (III), four (IV), five (V), and the average value of the National Standard School Examination (USBN). The data is then managed using Rapidminer 5.3 software to make it easier to predict student graduation rates. The application of data mining is used to predict the graduation rate by using the decision tree method and C4.5 algorithm as a supporter as well as to find out information on the graduation rate of Nurul Falah High School students. This study aims to predict student graduation rates in order to get useful information and the school can make policies in the coming year.

Contraceptive Use Among Korean High School Adolescents: A Decision Tree Model

2021 ◽  
pp. 105984052098753
Author(s):  
Sung Hae Kim ◽  
Yoona Choi
Keyword(s):  
Risk Factors ◽  
High School ◽  
High School Students ◽  
Health Education ◽  
Decision Tree ◽  
Sexual Health ◽  
Sexual Intercourse ◽  
Contraceptive Use ◽  
Sexual Health Education ◽  
School Students

Although the rate of sexual intercourse among adolescents has increased in Asian countries, including Korea, many sexually active adolescents still do not use contraception. The aim of this study was to identify the risk factors for contraceptive nonuse among adolescents using decision tree analysis of the 2018 Korea Youth Risk Behavior Survey data from 2,460 high school students who had an experience of sexual intercourse. The findings indicated that the highest risk group who did not use contraception during sexual intercourse did not receive sexual health education in school and was involved in habitual or purposeful drug use. The experience of ever receiving treatment due to violence and the experience of sexual intercourse after drinking were also identified as risk factors for contraceptive nonuse. To encourage contraceptive use, development of standard sexual health education, counseling, and educational intervention intended to prevent risky behaviors is needed.

scholarly journals Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun

2020 ◽  
Vol 1 (2) ◽  
pp. 68-72
Author(s):  
Hananda Hafizan ◽  
Anggita Nadia Putri
Keyword(s):  
Decision Tree ◽  
Nutritional Status ◽  
Public Health Service ◽  
Children Under Five ◽  
Under Five ◽  
C4.5 Algorithm ◽  
Decision Tree Method ◽  
Nutritional Status Of Children ◽  
Tree Method

One of the health problems in Indonesia is the problem of nutritional status of children under five years. Cases of malnutrition are not only a family problem, but also a state problem. The nutritional status of children under five years can be assessed by measuring the human body known as "Anthropometry". To be able to carry out anthropometric examinations and measurements in order to find out the nutritional status of children under five, they can go to public health service places such as the Posyandu. We went to the KENANGA Posyandu located in Wonorejo, Kerasaan sub-district, Simalungun district. The purpose of this study will be to test the model for the classification of nutritional status of children under the WHO-2005 reference standard by utilizing data mining techniques using the Decision Tree method C4.5 Algorithm.

Issues of Developmental Instruction in Higher Education and the Need for Change

2020 ◽  
pp. 253-270
Author(s):  
Theresa Neimann
Keyword(s):  
High School ◽  
High School Students ◽  
Graduation Rates ◽  
High School Graduates ◽  
College Graduation ◽  
School Students ◽  
High School Graduation Rates ◽  
College Credits ◽  
College Ready ◽  
College Graduation Rates

Achievement gaps are responsible for low high school graduation rates, low college enrollments, low college graduation rates, and lack of job readiness. Because many of today's high school students are not college ready, there is the need for developmental education in community colleges. Approximately 60% of high school graduates need to take remedial education courses before they can take credit bearing classes, and 76% of high school graduates do not meet ACT college readiness benchmarks. Dual enrollment is one way to address this issue. Opportunities to extend college credits to interested high school students have been increasing as an intervention strategy in preparing students for college, improving graduation rates, and reducing the time of college completion.

scholarly journals PkM UJI KOMPETENSI KEAHLIAN SISWA JURUSAN TEKNIK OTOMOTIF ALAT BERAT DI SMK RIGOMASI BONTANG

2021 ◽  
Vol 1 (3) ◽  
pp. 259-272
Author(s):  
Ahmad Yani
Keyword(s):  
High School ◽  
High School Students ◽  
Vocational High School ◽  
Engineering Majors ◽  
School Students ◽  
Competency Testing ◽  
Heavy Equipment ◽  
Student Graduation ◽  
Vocational High Schools

Expertise Competency Test (UKK) is part of government intervention in ensuring the quality of education in Vocational High School education units. One of the government's efforts to improve students' knowledge and skills, especially for Vocational High Schools, is by holding a skill competency test that determines student graduation. Competency testing is needed to determine a person's ability or competence according to professional standards. To be accepted to work in the world of work, a person must be competent, which is evidenced by, among other things, a competency certificate through a competency test. A person is said to have the competence (competent) in a particular field if he has the knowledge, skills, and attitudes to complete the job correctly by the demands of professionalism. The purpose of implementing this UKK is to measure the competency attainment of Rigomasi Vocational High School students at a certain level according to the expertise of heavy equipment automation engineering majors taken during the learning period at school

The Water Conservancy Water Electricity Construction Engineering Professional Result Analysis of Application Base on C4.5 Algorithm

2014 ◽  
Vol 926-930 ◽  
pp. 703-707
Author(s):  
Hu Yong
Keyword(s):  
Decision Tree ◽  
Decision Tree Algorithm ◽  
Construction Engineering ◽  
Improvement Algorithm ◽  
C4.5 Algorithm ◽  
C4.5 Decision Tree ◽  
Selection Decision ◽  
Decision Tree Method ◽  
Result Analysis ◽  
Tree Method

Aimed at the student the result problem, give student the result data scoops out the model. The decision tree method is a very valid classification method, in the data that scoop out. According to student the result data characteristics, adopted the C4.5 decision tree algorithm. C4.5 algorithm is the improvement algorithm of the decision trees core algorithm ID3, it construct in brief, the speed compare quickly, easy realization. Selection decision belongs to sex, scoop out the result enunciation, that algorithm can be right to get student the result data classification, and some worthy conclusion, provide the decision the analysis.

scholarly journals ANALISIS REKOMENDASI PEMINATAN MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA C4.5

2018 ◽  
Vol 2 (2) ◽  
pp. 178
Author(s):  
Tri Sutrisno ◽  
Stefanny Claudia
Keyword(s):  
Information Technology ◽  
Decision Tree ◽  
Training Data ◽  
Prediction System ◽  
Tree Model ◽  
Average Accuracy ◽  
C4.5 Algorithm ◽  
Academic Grades ◽  
Decision Tree Method ◽  
Tree Method

The application created are used to analyze which thesis preference subject suits students academic performance based on their academic grades. The application also provide online academic consultations features which students can use for their academic consultations. To find their thesis preference, the application use decision tree method with C4.5 algorithm. Testing prediction system using students data from 2012 to 2015 who have found their thesis preference. The value data used is 32 mandatory courses in the Faculty of Information Technology before thesis preference. The application can run , use and perform well in accordance with the design made. Testing is to compare the accuracy of the selected tree model build from training data and the thesis preference students have selected. The average accuracy percentage of this a 72,6227%.

New Stakes and Standards, Same Ol' Spending? Evidence from New York City High Schools

2007 ◽  
Vol 2 (1) ◽  
pp. 74-99
Author(s):  
Patrice Iatarola ◽  
Ross Rubenstein
Keyword(s):  
High School ◽  
New York ◽  
High School Students ◽  
Graduation Rates ◽  
Fixed Effects ◽  
New York State ◽  
School Level ◽  
School Resources ◽  
School Students ◽  
Fixed Effects Regression

In 1996, New York State began requiring all graduating high school students (starting with the Class of 1999) to pass rigorous end-of-course exams in five subjects. This study explores whether high school resources have been reallocated in the wake of these new standards and whether reallocation patterns differ among high- and low-graduation-rate schools. Using a six-year panel of school-level data, we model resources as a function of school and student characteristics, school graduation rates, and school fixed effects. Regression analyses reveal increases in direct services spending, while the percentage of more experienced and educated teachers fell. We find little evidence, though, of differential patterns related to graduation rates, with the exception of teacher licensure and nonpersonnel expenditures. The findings suggest that schools may have limited ability to redeploy nonteacher resources in the short term. While other funds may be reallocated, these represent a small share of total school resources.

scholarly journals Prediksi Mahasiswa Berpotensi Non Aktif Menggunakan Data Mining dalam Decision Tree dan Algoritma C4.5

2020 ◽  
pp. 23-29
Author(s):  
Nur Yanti Lumban Gaol
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Dropping Out ◽  
Mining Science ◽  
Prediction Rules ◽  
Tertiary Institutions ◽  
Student Data ◽  
C4.5 Algorithm ◽  
Decision Tree Method ◽  
Tree Method

Non-active students are students who do not attend the lecture process and do not pay tuition administration fees within two semesters or more. Reports on students who are not active will have an impact on the quantity of tertiary institutions. Students who are not registered in non-active students will potentially be expelled or dropped out. For this reason, this research was conducted to explore information on potentially non-active students by applying data mining science with the Decision Tree method and C4.5 algorithm. The tested data were sourced from Triguna Dharma Medan College of Information and Computer Management (STMIK). The results of the study get prediction rules for student data that are potentially non-active with a very good degree of accuracy. So this research can be used to avoid students dropping out unilaterally.

Sign in / Sign up

Export Citation Format

Share Document