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All Journal Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan
Dian Anggraini
Institut Teknologi Sumatra
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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An Analysis of Mathematical Critical-Thinking Ability: The Impact of DCT (Dialogue Critical Thinking) and Learning Motivation zuhan Nahdiyah; netriwati netriwati; Dian Anggraini; Fadly Nendra
Desimal: Jurnal Matematika Vol 3, No 3 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (69.022 KB) | DOI: 10.24042/djm.v3i3.6799

Abstract

The mathematical critical thinking ability is part of a very important mathematical curriculum. The purpose in this study was to analyze the influence of Deep DCT Learning and the motivation to learn from the mathematical critical thinking ability. Research in is a quantitative study with the type of Quasy experimental Design by using post-test only control. Sampling techniques are performed by means of Random Sampling. Data retrieval is done by giving post-Test and poll. The analysis test used is a two way variances analysis (ANAVA). Based on the research results analyzed that: There is an influence between Deep DCT Learning to the mathematical critical thinking ability, there is a high, moderate and low motivation influence on mathematical critical thinking Skills, There is no interaction between Deep DCT Learning and the motivation to learn the ability of critical thinking mathematically.
PREDIKSI PENCURIAN SEPEDA MOTOR MENGGUNAKAN MODEL TIME SERIES (STUDI KASUS: POLRES KOTABUMI LAMPUNG UTARA) Meli Pranata; Dian Anggraini; Deden Makbuloh; Achi Rinaldi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.924 KB) | DOI: 10.30598/barekengvol14iss3pp425-434

Abstract

Crime is a crime that violates the laws of a country or violates the norms in force in society. Theft is a form of crime. The impact of theft is a feeling of insecurity, fear and insecurity. One model used to predict the number of theft cases is the time series model. A time series model is a set of values ​​observed in an activity, event, or event where data is then arranged in chronological order. Generally, in intervals of the same length. This study aims to model the data of criminal acts of motorcycle theft in North Lampung Police with Autoregressive (AR), Moving Average (MA), and Autoregressive Integrated Moving Average (ARIMA) models. Furthermore, the best models will be used for forecasting for the next 6 months. The results of the AR model (1), AR (3) model, MA model (1), ARIMA (1,1,1), and ARIMA model (3,1,1). The MA model (1) has a significant parameter coefficient, fulfills diagnostic tests and has the smallest RMSE and AIC values ​​with an RMSE value of 6.5612926 and an AIC value of 394.82. The predicted results of the MA model (1) for the next 6 months tend to be horizontally different from the original data which tends to decrease.
Co-Authors Achi Rinaldi Deden Makbuloh Fadly Nendra Meli Pranata Netriwati zuhan Nahdiyah