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All Journal Pendidikan Matematika Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika
Rani Valicia Anggela
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Computer Science & IT Education Mathematics

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PENGARUH PENERAPAN STRATEGI ACTIVE LEARNING TIPE INSTANT ASSESSMENT DALAM PEMBELAJARAN MATEMATIKA TERHADAP PEMAHAMAN KONSEP SISWA KELAS VIII PUTRI (PI) SMP NURUL IKHLAS KABUPATEN TANAH DATAR Anggela, Rani Valicia; Aima, Zulfitri; Yunita, Alfi
Pendidikan Matematika Vol 2, No 2 (2013): Jurnal Wisuda Ke 47, Genap 2013-2014 Pendidikan Matematika
Publisher : STKIP PGRI Sumbar

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Abstract

The research motivated by the students’ less understanding about the  concept of mathematic. It seen from the results of mathematic test in the second semester of grade sevent that listed in grade VIII Putri (Pi) SMP Nurul Ikhlas in academic year 2013/2014 . One of the way to increase students’ understanding about the concept is applying Instant Assessment type of Active Learning strategy. The research purpose is to know whether students’ understanding in applying Instant Assessment type of Active Learning strategy is better than conventional learning for  grade VIII Putri (Pi) SMP Nurul Ikhlas Tanah Datar .Kind of research is experimental research and the research design is randomized to the subject . The populations are the students of eighth grade  of SMP Nurul Ikhlas that consist of 4 classes . where class VIII Pi 1 as experimental and class VIII Pi 2 as a control class . The instrumentation in the research is students’observation activity sheet and tests students understanding of mathematic’s concept . the test is in essay from with a reliability value 0,77.Based on the result of data analysis, bpth of sample class are normal and homogen in α = 0.05 and the results of hypothesis tests by using MINITAB software is P - value = 0.018 < α . It can be concluded students understanding of concepts with applying Instant Assessment type of Active Learning strategy is better than the students understanding of concepts with conventional learning .
PREDIKSI KELULUSAN TEPAT WAKTU MAHASISWA MENGGUNAKAN METODE DATA MINING DENGAN ALGORITMA NAÏVE BAYES Satrio Junaidi; Rani Valicia Anggela; Irfan Fadhli
Jurnal Edik Informatika Penelitian Bidang Komputer Sains dan Pendidikan Informatika Vol 9, No 2 (2023)
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2023.v9i2.7324

Abstract

One of the factors that determine the quality of higher education is the percentage of students' ability to complete their studies on time. Based on problems, a method is needed to predict student graduation on time. The purpose of the study is to determine the prediction of student graduation in the future. This research can generate new knowledge to help universities anticipate student graduations that are not on time. The method used is a data mining method with a naïve Bayes algorithm for classification. The attributes used are gender, parental income, length of guidance, working student status or not, semester 1 to semester 8 grades, and GPA. This research used Python 3 programming language and the Jupyter Notebook tool in Anaconda to process datasets. The distribution of datasets is divided by 70% for training data and 30% for testing data. The results of this study were obtained with the accuracy of the Naïve Bayes algorithm is 0.88. For the precision value, the on-time class has a value of 0.75 while late is 0.93. Based on the results of the research, the accuracy is enough to predict students' graduation on time.
Co-Authors Alfi Yunita Fadhli, Irfan Satrio Junaidi Zulfitri Aima