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<![CDATA[Perbedaan Motivasi Belajar melalui Pendekatan SAVI dengan Variasi Mengajar Stimulus Materi Dimensi Tiga ]]>
<![CDATA[Hasibuan, Lilis Harianti]]>
<![CDATA[ Logaritma : Jurnal Ilmu-ilmu Pendidikan dan Sains Vol 7, No 02 (2019) ]]>
Publisher : <![CDATA[IAIN PADANGSIDIMPUAN ]]>
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DOI: 10.24952/logaritma.v7i02.2117
<![CDATA[Based on the results of the research of the questionnaire score of students learning motivation mathematics then obtained an average of 76 with standard deviation 4.50 in the experimental class applied SAVI approach and average 65 with standard deviation 4.38 on the control class applied Variation Teaching Stimulus. Normality test in experimental class L0 = 0,1296 and Ltabel = 0,1730 then L0 Ltabel (0,1296 0,1730) and at control class L0 = 0,1220 and Ltabel = 0,1730 then L0 Ltabel (0 , 1220 0.1730) so it can be concluded that student questionnaires of both classes are normally distributed. And homogeneity test results obtained Fhitung Ftabel that is (1.073 1.87). Seen from hypothesis test, the data of questionnaire motivation to learn mathematics thitung ttabel (9,13 1,674) which H1 accepted which mean there is difference of motivation learn mathematics between SAVI approach with Variation Teaching Stimulus in cube in class VIII student of SMP Negeri 1 Padang year lessons 2015-2016. The results of observations in the experimental class applied SAVI approach obtained an average of 31.81 with a percentage of 79.52% in both categorize and in the experimental class applied Variations Teaching Stimulus obtained an average of 27.4 with percentage 68, 5% is adequately.]]>
<![CDATA[PENERAPAN GERAK BROWN GEOMETRIK PADA DATA SAHAM PT. ANTM ]]>
<![CDATA[Putri, Darvi Mailisa]]>;
<![CDATA[Hasibuan, Lilis Harianti]]>
<![CDATA[ MAp (Mathematics and Applications) Journal Vol 2, No 2 (2020) ]]>
Publisher : <![CDATA[Universitas Islam Negeri Imam Bonjol Padang ]]>
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DOI: 10.15548/map.v2i2.2258
<![CDATA[Penelitian ini akan mengkaji aplikasi gerak Brown geometrik pada data harga saham PT. Antm. Data harga saham yang digunakan adalah data harga saham penutupan dari tanggal 02 Januari 2019 sampai dengan 30 Desember 2019 dengan periode harian. Dalam mengaplikasikan data harga saham PT. Antm pada gerak Brown geometrik diperlukan nilai return harga saham yang memenuhi asumsi dari gerak Brown geometrik. Selanjutnya melalui parameter-parameter yang diperoleh dari return harga saham dan membangkitkan data berdistribusi normal atau  sebanyak data yang diamati dan harga awal yang telah diketahui maka didapat plot hasil dari data harga saham PT. Antm yang telah memenuhi asumsi gerak Brown geometik.AbstractThis research will examine the application of geometric Brownian motion on the stock price of PT. Antm. The stock price data used is the closing stock price data from January 02nd 2019 to December 30th 2019 with a daily period. In applying the stock price of PT. Antm on geometric Brownian motion requires a stock price return value that satisfies the assumptions of geometric Brownian motion. Futhermore, through the parameters obtained from the stock price return and generate normally distributed data or   as much as the observed data and the known intial price, then we get the plot of PT. Antm has fulfilled the assumption of geometric Brownian motion.]]>
<![CDATA[PENERAPAN SIFAT JARAK RUANG METRIK R^2 PADA LINGKARAN ]]>
<![CDATA[Rianjaya, Ilham Dangu]]>;
<![CDATA[Hasibuan, Lilis Harianti]]>;
<![CDATA[Sari, Indah Permata]]>
<![CDATA[ MAp (Mathematics and Applications) Journal Vol 3, No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Islam Negeri Imam Bonjol Padang ]]>
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DOI: 10.15548/map.v3i2.3347
<![CDATA[Suatu himpunan  disebut ruang metrik dengan fungsi metrik  apabila memenuhi sifat tak negatif, simetris dan ketaksamaan segitiga. Jarak pada  adalah jarak terpendek dari dua buah titik yang dihubungkan dengan sebuah garis lurus. Beberapa karakteristik jarak pada  antara lain diameter suatu himpunan, jarak antara titik dan himpunan, dan jarak antara dua himpunan. Pada penelitian ini dipelajari karakteristik jarak pada ruang metrik  yang diterapkan pada lingkaran sebagai salah satu himpunan yang ada di .Kata Kunci: Ruang Metrik, Jarak, Lingkaran]]>
<![CDATA[LEFT INVERTIBLE SEMIGRUP PADA RUANG HILBERT ]]>
<![CDATA[Asfa’ani, Ezhari]]>;
<![CDATA[Hasibuan, Lilis Harianti]]>;
<![CDATA[Jannah, Miftahul]]>;
<![CDATA[Putri, Darvi Mailisa]]>
<![CDATA[ MAp (Mathematics and Applications) Journal Vol 2, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Islam Negeri Imam Bonjol Padang ]]>
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DOI: 10.15548/map.v2i1.1640
<![CDATA[Analisis Fungsional merupakan salah satu cabang dari ilmu Matematika yang membahas tentang ruang vektor serta pemetaan di antara ruang - ruang tersebut. Pada artikel ini membahas tentang semigrup pada ruang Hilbert yang dapat dibalik dan mempunyai balikan. Untuk Semigrup yang sangat kontinu pada Ruang Hilbert, disini disajikan bukti singkat dari fakta-fakta bahwa inverse kiri dari semigrup yang dapat dibalik dan dapat dipilih menjadi semigrup juga. Lebih jauh pada tulisan ini akan ditunjukkan pula bahwa semigrup ini tidak perlu unik.AbstractFunctional Analysis is one branch of Mathematics that deals with vector spaces and mapping between these spaces This article to discuss about semigroups on Hilbert Space. For strongly continous semigroups on Hilbert space, we present a short proof of the fact that the left inverse of a left invertible semigroup can be chosen to be a semigroups as well. Furthermore, we show that this semigroups need not to be unique.Keywords: three-five word(s) or phrase(s), that it’s representative for the article.]]>
<![CDATA[KONTROL ASYMPTOTIC TRACKING PADA SYSTEM NON LINEAR DENGAN MENGGUNAKAN NONHYPERBOLIC ZERO DINAMIC (PENDULUM TERBALIK) ]]>
<![CDATA[Hasibuan, Lilis Harianti]]>;
<![CDATA[Sabran, La Ode]]>
<![CDATA[ MAp (Mathematics and Applications) Journal Vol 1, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Islam Negeri Imam Bonjol Padang ]]>
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DOI: 10.15548/map.v1i2.1183
<![CDATA[Tulisan ini membahas tentang permasalahan control tracking pada system pendulum terbalik pada dua buah gerobak/kereta yang dikenal dengan system yang non linear. Adapun sifat-sifat dari system pendulum terbalik pada dua buah gerobak/kereta adalah nonlinear, nonminimum phase dengan system zero nonhyperbolic system. Pada jurnal ini pertama sekali akan ditunjukkan bahwa nonhyperbolic zero dinamik tidak begitu perlu diaplikasikan pada teori keluaran regulation. Pada bidang lain, masalah asymptotic tracking pada dua gerobak/kereta dengan menggunakan system pendulum terbalik yang mana system pendulum terbalik ini mampu mengikuti pergerakan secara sinusoidal. Pergerakan tracking pada system pendulum terbalik yang mengikuti pergerakan sinusoidal inilah yang merupakan hasil dari keluaran teori regulation. Sistem kontrol dibutuhkan untuk menstabilkan dan membuat batang pendulum pada posisi equilibriumnya yaitu pada sudut nol radian. Sistem pendulum kereta memiliki beberapa permasalahan kontrol diantaranya tracking. System ini terdiri dari sebuah kereta yang pergerakannya sepanjang track terbatas pada gerak linear dan gerak batang yang dipasang pada kereta. Antara kereta dan batang dihubungkan dengan sebuah engsel. Pendulum-kereta merupakan sistem yang tidak stabil dan nonlinear, sehingga untuk mengontrolnya diperlukan teknik kontrol yang tidak mudah dibandingkan dengan teknik kontrol pada sistem yang linear dan stabil.Abstract This paper discusses the problem of tracking control on the inverted pendulum system on two carts / trains known as non-linear systems. The properties of the inverted pendulum system on two carts are nonlinear, non-minimum phase with zero non-hyperbolic system. In this journal, we will first show that dynamic nonhyperbolic zero does not need to be applied to the output regulation theory. In other fields, the problem of asymptotic tracking on two carts / trains using an inverted pendulum system in which the inverted pendulum system is capable of following sinusoidal movements. The tracking movement in the inverted pendulum system that follows sinusoidal movement is the result of the regulation theory output. The control system is needed to stabilize and make the pendulum rod at its equilibrium position at zero angle radians. The train pendulum system has several control issues including tracking. This system consists of a train whose movement along the track is limited to linear motion and the motion of the rod mounted on the train. Between the carriage and the trunk is connected by a hinge. Pendulum-train is an unstable and nonlinear system, so to control it requires a control technique that is not easy compared to the control technique in a linear and stable system.]]>
<![CDATA[PEMODELAN DATA SAHAM MENGGUNAKAN ANALISIS TIME SERIES DENGAN PENDEKATAN COPULA GAUSSIAN ]]>
<![CDATA[Jannah, Miftahul]]>;
<![CDATA[Mardika, Fitria]]>;
<![CDATA[Hasibuan, Lilis Harianti]]>;
<![CDATA[Putri, Darvi Mailisa]]>
<![CDATA[ Math Educa Journal Vol 5, No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Islam Negeri Imam Bonjol Padang ]]>
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DOI: 10.15548/mej.v5i2.3124
<![CDATA[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.]]>
<![CDATA[Penerapan Metode Regresi Linear Sederhana Untuk Prediksi Harga Beras di Kota Padang ]]>
<![CDATA[Hasibuan, Lilis Harianti]]>;
<![CDATA[Musthofa, Syarto]]>
<![CDATA[ JOSTECH: Journal of Science and Technology Vol 2, No 1: Maret 2022 ]]>
Publisher : <![CDATA[UIN Imam Bonjol Padang ]]>
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DOI: 10.15548/jostech.v2i1.3802
<![CDATA[The purpose of this research is to get predictions of rice prices. Linear regression is used as a method of predicting rice prices in the next X(t) period. In this study, the actual rice price Y(t) is the effect variable and the time period is the causal variable. The linear regression equation obtained is Y'=13562.561+9.041958X. Testing the accuracy of the prediction results was carried out using RMSE with a value of 0.126. The prediction of rice prices using the linear regression method can be said to be in the very good category, it can be seen that the RMSE value is very small in the test and meets the standard.]]>
<![CDATA[Penerapan Pendidikan Matematika Dasar Menggunakan Pendekatan Realistik untuk Anak Usia Dini di Kelurahan Kampung Lapai ]]>
<![CDATA[Lilis Harianti Hasibuan]]>;
<![CDATA[Darvi Mailisa Putri]]>;
<![CDATA[Miftahul Jannah]]>
<![CDATA[ Bakti Cendana Vol 3 No 1 (2020): Bakti Cendana: Jurnal Pengabdian Masyarakat ]]>
Publisher : <![CDATA[LPPM Universitas Timor ]]>
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DOI: 10.32938/bc.3.1.2020.1-9
<![CDATA[Penyuluhan yang berjudul Penerapan Pendidikan Matematika Dasar Menggunakan Pendekatan Realistik untuk Anak Usia Dini di Kelurahan Kampung Lapai mengajukan masalah bagaimana penerapan Pendidikan Matematika Dasar pada anak usia dini. Untuk mengatasi masalah di atas penulis mengajukan konsep agar anak usia dini bisa memahami pelajaran matematika dengan mudah dan menyenangkan. Pada anak usia dini perkembangan kemampuan matematis dimulai sejak kecil, dan berlanjut saat anak-anak berkembang secara mental, fisik, dan sosial, yang berpengaruh secara langsung terhadap perkembangan dan kemampuan mereka . Pendidikan matematika dapat diberikan kepada anak sejak usia 0-6 tahun. Anak pada usia 0-6 tahun perlu mendapaat perhatian khusus karena pada usis inilah kesiapan mental dan emosional anak mulai dibentuk. Pendidikan anak usia dini (PAUD) ikut serta dalam menjamin mutu pendidikan dan kebrhasilan akademis secara signifikan dipengaruhi oleh kualitas masukan pendidikan yaitu kesiapan mental dan emosional anak memasuki sekolah dasar. Metode dari penelitian ini adalah penelitian deskriptif.. Adapun sampel yang akan menjadi responden pada pengabdian ini adalah siswa PAUD Amanah dengan menggunakan analisis inferensial produc moment. Berdasarkan perhitungan diperoleh thitung lebih besar dari ttabel (5,231 > 1,694). Artinya terdapat hubungan positif yang tinggi atau kuat antara pendekatan realistik dan pemahaman matematika dasar pada anak usia dini]]>
<![CDATA[UPAYA MENINGKATKAN PEMAHAMAN KONSEP MAHASISWA DENGAN MENGGUNAKAN MODEL PROBLEM BASED INSTRUCTION PADA MATA KULIAH ANALISA VEKTOR UNIVERSITAS GRAHA NUSANTARA PADANGSIDIMPUAN ]]>
<![CDATA[Lilis Harianti Hasibuan]]>;
<![CDATA[Susi Sulastri Lubis]]>
<![CDATA[ PeTeKa (Jurnal Penelitian Tindakan Kelas dan Pengembangan Pembelajaran) Vol 1, No 3 (2018): PeTeKa ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Tapanuli Selatan ]]>
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DOI: 10.31604/ptk.v1i3.147-159
<![CDATA[This research type is Classroom Action Research with student population of sixth semester Graha Nusantara University which amounted to 26 people with object model of learning using problem based instruction as an effort to improve concept understanding student study on vector analysis course. The results showed the results of concept comprehension siclus I test with problem-based instruction obtained percentage of 69.23% sufficient criteria and on the second siclus obtained percentage of 84.62% good criteria. Based on the observation of student activity on the first cycle obtained student activity levels of 70.56% with sufficient category and on the second cycle increased student activity to 86.68% with good category. As for the observation of lecturer ability of cycle I obtained the average value 3,428571 with the category of "Good" and cycle II increased to 4.107143 with the category of "Good". The conclusion of this study is the use of problem based instruction learning models can improve students' understanding of concepts in vektor analysis subjects.]]>
<![CDATA[PREDIKSI JUMLAH PENUMPANG PESAWAT PADA MASA COVID-19 DENGAN METODE EXPONENTIAL SMOOTHING ]]>
<![CDATA[Darvi Mailisa Putri]]>;
<![CDATA[Fitri Rahmah Ul Hasanah]]>;
<![CDATA[Lilis Harianti Hasibuan]]>;
<![CDATA[Miftahul Jannah]]>
<![CDATA[ Math Educa Journal Vol 6, No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Islam Negeri Imam Bonjol Padang ]]>
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DOI: 10.15548/mej.v6i1.3896
<![CDATA[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.]]>
