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INDONESIA
KONSTANTA
Published by Sekolah Tinggi Agama Islam Negeri Kudus
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Education
Arjuna Subject : -
Articles 6 Documents
 1 
PENERAPAN REALISTIC MATHEMATIC EDUCATION (RME) SEBAGAI UPAYA MENINGKATKAN PEMAHAMAN MAHASISWA PADA MATA KULIAH GEOMETRI exacta, annisa prima
KONSTANTA Vol 1, No 1 (2017): Konstanta
Publisher : KONSTANTA

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Abstract

The objective of this study was to improve student’s understanding in Geometry with the application of Realistic Mathematic Education (RME). This was classroom action research carried out in 2 cycles. The subject was 21 students of  Mathematics Education Department Universitas Veteran Bangun Nusantara Sukoharjo. Sources of research data obtained from teachers and students. Data collection methods were observation  and tests. The data analysis technique was descriptive analysis.from the data of the test, students who completed the first cycle were 65,79%, in the second cycle the precentage increase became 86,84%. So we can conclude that  the application of  RME can improve student’s understanding in Geometry. 
KEEFEKTIFAN MODEL PEMBELAJARAN SNOWBALL THROWING BERBANTUAN CD PEMBELAJARAN TERHADAP KEMAMPUAN DAYA NALAR SISWA Lestari, Mulyaningrum
KONSTANTA Vol 1, No 1 (2017): Konstanta
Publisher : KONSTANTA

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Abstract

The aims of this research are to know effectiveness of snowball throwing models by CD of learning about  reasoning competence student of class X. The population of this research were the students of MA Abadiyah Kuryokalangan Gabus. The sample of this research was choosen with the cluster random sampling and class of X.B has been choosen as experiments class which was taught using snowball throwing models by CD of learning and class of X.D has been choosen as control class which was taught using the direct learning model. The data analyses included normality test, homogeneity, proportion, and the different of average. The results of this research showed that: 1) result of reasoning competence student of experiments class can achieved minimal completed 92,30%; 2) mean of experiments class was 80,84 better than control class was 75,30. Suggestions of this research were snowball throwing models by CD of learning can be used as alternative learning in dimention of three meteral.
PENERAPAN PRINCIPAL COMPONENT ANALYSIS (PCA) DALAM ALGORITMA K-MEANS UNTUK MENENTUKAN CENTROID PADA CLUSTERING tadi, muh
KONSTANTA Vol 1, No 1 (2017): Konstanta
Publisher : KONSTANTA

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Abstract

To obtain the desired information , it would require an appropriate methodology to be used in processing the data that already exists . One is the data grouping or clustering that produces clusters . Quality cluster distances determined from the size of each data in the cluster by the cluster center ( centroid ) , the closer the distance the better the quality of the cluster , and vice versa . This study combines the method of Principal Component Analysis ( PCA ) with K -Means . PCA is used to reduce the dimensions of a dataset or reducing variable (feature eksraction ) before the clustered using K -Means . The dataset used in this study is data coronary heart disease ( statlog ) from the University of California , Irvine ( UCI ) machine learning repository . Of the 13 variables were reduced dataset produced three variables and three variables were generated to represent the 13 variables that exist in the dataset . The clustering process that combines K -Means with Principal Component Analysis ( PCA ) is capable of producing Chebychev distance is shorter than the K -means clustering  and FCM ( fuzzy clustering algorithm) .
RETENSI KEMAMPUAN BERPIKIR REFLEKTIF MELALUI PEMBELAJARAN BERBASIS MASALAH DITINJAU DARI KEMAMPUAN AWAL MATEMATIKA SISWA MAN NGAWI Masamah, Ulfa
KONSTANTA Vol 1, No 1 (2017): Konstanta
Publisher : KONSTANTA

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Abstract

This study aims to examine the retention of students reflective mathematical thinking abilities, as a result of the use of problem-based learning. This research is a quasi-experimental research with non equivalent control group design (The Non Equivalent Control Group Design). This research was conducted at MAN Ngawi. The results conclude that there is a significant difference in retention of reflective mathematical thinking among students who have problem-based learning and students who have received conventional learning. Furthermore, the retention of mathematical reflective thinking skills of students who acquired problem-based learning was significantly better than that of students who received conventional learning. This is because in the implementation of problem-based learning is supported by teaching materials that take into account the aspects of mathematical reflective thinking ability, the accuracy of teacher interventions in providing scaffolding, and implementation of problem-based learning itself that requires the active involvement of students to interact, reflect, construct and create knowledge and experience of the students themselves into new problems or situations.
ANALISIS ROBUST DARI MODEL LINEAR CAMPURAN TERGENERALISIR widiyastuti, wahyuning ning
KONSTANTA Vol 1, No 1 (2017): Konstanta
Publisher : KONSTANTA

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Abstract

We will develops a technique for finding robust maximum likelihood estimates of the model parameters in generalized linear mixed models. The asymptotic properties of the robust estimates lies in the presence of outliers, and these estimates also compared to the ordinary classical estimates. By starting from a natural class of robust estimators for generalized linear models based on the notion of likelihood, we define robust deviances that can be used for stepwise model selection as in the classical framework. The binomial models are treated in detail. Application to real data and a sensitivity analysis show that the inference obtained by means of the new techniques is more reliable than that obtained by classical estimation and testing procedures.
Intelligent Tutoring Systems Untuk Identifikasi Kesalahan Mengerjakan Soal Persamaan Linear Berbasis Metode Working Memory mawan, faried her
KONSTANTA Vol 1, No 1 (2017): Konstanta
Publisher : KONSTANTA

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Abstract

Intelligent Tutoring Systems (ITS) are computer systems that provide command and tailored to students who apply the theory of learning by doing. Cognitive Tutor Authoring Tools (CTAT) is one of the ITS which supports the creation of a flexible tutors for problem-solving simple and complex, capable of supporting several strategies that can describe what learners do when solving problems. In work on the problems of one variable linear equations, students often make different errors. This is due to memory each learner which vary from the information it receives. Therefore, in this study will try to identify patterns of errors in learners in working on one variable linear equations using the Working Memory. The media used is the ITS using CTAT tools.In this research, learners have obtained material equation first. Only then used the media that will be used to solve the problem in one variable linear equations. From the study obtained a result that can map out the mistakes made in working on learners in particular equation, where the most frequent mistakes learners is to add just one segment of which should add both sides with the same numbers.

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