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All Journal Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Science and Technology Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan Math Educa Journal Bakti Cendana: Jurnal Pengabdian Masyarakat Logaritma : Jurnal Ilmu-ilmu Pendidikan dan Sains Journal of Science and Technology Mathematics and Applications (MAp) Journal Journal of Social Outreach Maqdis: Jurnal Kajian Ekonomi Islam J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Pada Masyarakat
Darvi Mailisa Putri
Universitas Islam Negeri Imam Bonjol Padang
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Journal : math educa journal

 1 
Analisis Kemampuan Daya Serap Mahasiswa Pada Mata Kuliah Geometri Transformasi Putri, Darvi Mailisa; Amalina, Amalina
Math Educa Journal Vol 2, No 2 (2018)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v2i2.190

Abstract

The student's absorption of learning material is one of the factors that can influence the efforts of students to achieve learning outcomes. Absorption can be a benchmark for knowing how far a student understands learning material. Therefore, this study aims to analyze the level of absorptive ability of the UIN Imam Bonjol Padang Tarbiyah Faculty of Mathematics Tadris Study Program at the transformation geometry subject. The study uses statistical estimation, namely the ability of the absorption of students in the transformation geometry subject to the lowest or equal to 75% of the maximum value. The data analysis of the research was carried out manually by using the parametric statistical test formula to find out the truth of the statement or the hypothesis that had been hypothesized. In this study z-test one sample in one direction left side. In addition, hypothesis testing is also carried out using the help of SPSS applications. The results show that and. This means that Ho is accepted. Thus it can be seen that the ability of student absorption in the transformation geometry subject is the lowest or equal to 75% of the maximum value. In other words, the average absorption of students towards transformation geometry courses is more than or equal to 75. So it can be concluded that the absorption of students in the geometry subject of transformation is quite good.Keywords: student absorption, transformation geometry
VALIDITAS PERANGKAT PEMBELAJARAN E-LEARNING BERBASIS EDMODO PADA MATA KULIAH ALJABAR LINEAR Amalina, Amalina; Putri, Darvi Mailisa; Aswirna, Prima
Math Educa Journal Vol 3, No 2 (2019)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v3i2.883

Abstract

The purpose of this study is to describe the validity of Edmodo-based E-learning learning tools in linear algebra courses. Learning tools consist of RPS, Teaching Materials and Final Tests that are developed using the ADDIE model, namely Analysis, Design, Develop, Implementation, and Evaluation. The results of this study are Edmodo-based E-Learning learning tools in linear algebra courses for students of Mathematics Tadris FTK UIN Imam Bonjol Padang. Validation involves four validators, namely 3 mathematics education lecturers and 1 language education expert lecturer using a Likert scale learning tool validation sheet on RPS, Teaching Materials, and Final Tests. The results of the study of validity were stated to be very valid by the validators with the RPS obtaining an average score of 3.63, teaching materials obtained a score of 3.38, and the final test obtained a score of 3.41.
PEMODELAN DATA SAHAM MENGGUNAKAN ANALISIS TIME SERIES DENGAN PENDEKATAN COPULA GAUSSIAN Jannah, Miftahul; Mardika, Fitria; Hasibuan, Lilis Harianti; Putri, Darvi Mailisa
Math Educa Journal Vol 5, No 2 (2021)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v5i2.3124

Abstract

One method of predicting stock prices is to use the time series analysis method. In this method, a linear prediction model is made to see patterns from historical stock price data to assess future prices. The stock data used in this study is the daily stock data of PT. Telkom and PT. Indosat in 2020-2021. Autoregressive (AR) model is a time series model that is often used with the assumption that its volatility does not change with time (Homoscedastic). After analyzing the AR Model(1) data for the stock data of PT. Telkom and PT. Indosat has a non-independent error, therefore the AR(1)-N.GARCH(1,1) time series model construction was carried out to model the error (ϵ_(i,t)). Furthermore, the error of the AR(1)-N.GARCH(1,1) model is independent of t, so it can be modeled using Copula. After the Copula model was applied to the data and obtained the value of the fit of the Gaussian Copula distribution error model. From the values generated from the Gaussian Copula C({ϵ_(i,t) }_(t=1)^T ),T=1,2,…, and approximates a uniform distribution. So the stock data of PT. Telkom and PT. It can be said that Indosat is not suitable to be modeled with the Gaussian Copula.
PREDIKSI JUMLAH PENUMPANG PESAWAT PADA MASA COVID-19 DENGAN METODE EXPONENTIAL SMOOTHING Darvi Mailisa Putri; Fitri Rahmah Ul Hasanah; Lilis Harianti Hasibuan; Miftahul Jannah
Math Educa Journal Vol 6, No 1 (2022)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v6i1.3896

Abstract

Forecasting is a study that is still interesting today. With the forecasting method, a person can make predictions about something based on previously available data. In this study, will be carried out on the prediction of the number of airplane passengers on domestic during the COVID-19 period. The data taken is data on domestic airplane passengers at Minangkabau International Airport Padang city. Data by month for the period 2016 to 2020. The method that will be applied to the data is the exponential smoothing type forecasting method, especially the Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES) methods. The results of the study concluded that if analyzed from the MAPE value, the DES method was better with a MAPE value of 77. However, if analyzed from the MAD and MSD values, the SES method was better with a value of 32609 and 2044501652, respectively. Furthermore, analyzing the prediction results of the two methods, it was obtained that for the first four months the DES method showed better results than the SES method. But two months later the SES method was much better.
ANALISIS METODE SINGLE EXPONENTIAL SMOOTHING DAN METODE REGRESI LINEAR UNTUK PREDIKSI HARGA DAGING AYAM RAS Lilis Harianti Hasibuan; Darvi Mailisa Putri; Miftahul Jannah; Syarto Musthofa
Math Educa Journal Vol 6, No 2 (2022)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v6i2.3872

Abstract

Prediction of the price of broilers in the future is intended to control the excess and shortage of broiler stock can be minimized. When the price of purebred chicken can be predicted accurately, the fulfillment of consumer demand can be managed on time. This study aims to analyze the prediction accuracy of broiler prices using the Single Exponential Smoothing (SES) method compared to using the linear regression method, so that a more accurate method will be obtained to predict the price of broilers. The percentage of prediction error values is the most important criterion in analyzing the prediction accuracy of these two methods. The results showed that the average percentage of error in predicting the quantity of sales of broilers using the SES method with the smoothing parameter value =0.5 is the method that has the highest predictive accuracy (MAPE=0.00258%) compared to using the linear regression method (MAPE= 0.05%).
Co-Authors Afrimayani Afrimayani Afrimayani, Afrimayani AGHSILNI AGHSILNI AGHSILNI, AGHSILNI Amalina Amalina Amalina Amalina, Amalina Annur, Lathifah Asfa'ani, Ezhari Asfa’ani, Ezhari Bagus Pribadi, Bagus Devianto, Dodi Fitri Rahmah Ul Hasanah Fitria Mardika Friska, Dina Hasibuan, Lilis Harianti Haya Fatiha Sulisda La Ode Sabran Mahendra, Fikri Rizky Maiyastri, Maiyastri Miftahul Jannah MIFTAHUL JANNAH Miftahul Jannah Miftahul Jannah Miftahul Jannah Mohamad Syafi’i Muhammad Naufan Rizqullah Musthofa, Syarto Novia Lestari Nur, Rizki Amalia Prima Aswirna Rahman, Alfit Rani Kurnia Putri Reihani Jemila Nurbai Rianjaya, Ilham Dangu Salsabila, Unik Hanifah Sepri, Domi Serly Cania Subhan Ajrin Sudirman Syahadah, Nadila Syarto Musthofa Syarto Musthofa Ul Hasanah, Fitri Rahmah Yuharnida, Yuharnida Yurinanda, Sherli