1,720,972 research outputs found
Analisis Kemampuan Daya Serap Mahasiswa Pada Mata Kuliah Geometri Transformasi
Full text linkThe 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 geometr
Pemodelan Laju Perubahan Nilai Tukar Rupiah (IDR) terhadap Dolar Amerika (USD) dengan Metode Markov Switching Autoregressive (MSAR)
Full text linkThis study aims to determine the modeling of the exchange rate change rate of the Rupiah (IDR) against the US dollar (USD) using the Markov Switching Autoregressive (MSAR) method. The research data is sourced from secondary data through website investing to see the Rupiah exchange rate against the US dollar with a time span from January to December 2020. The results show that the best model obtained is MS(2)AR(3) with parameters = 0.031119 and = -0.000504, where when state = 1, the average rate of change in the rupiah exchange rate against the US dollar is 0.031119 per day, while when state = 2 the average rate of change in the rupiah exchange rate against the US dollar is -0.000504 per day.
Analisis Pergerakan Harga Emas Berjangka Menggunakan Model Fuzzy Time Series Markov Chain
Full text linkGold is one type of precious metal that can be an investment instrument to protect the value of wealth. Gold price movements need to be known in investing, this can be observed usinga time series model that can predict gold prices in the next period. Gold price movement models can be used as investor guidelines in planning and decision making to increase profits and prevent losses. Gold price movements modeled with a numerical approach can be done through the Fuzzy Time Series Markov Chain (FTSMC) model. The modeling results show that the FTSMC can model gold prices and has good accuracy values with small MAPE, RMSE, and MAE values. This indicates an excellent goodness of fit for the FTSMC model. Long-term stability for gold price movements provides investment benefits because gold has value as an asset that tends to be stable, easy to liquidate in cash, free from interest, has a role as an emergency fund and can protect the value of wealth
Pemodelan Harga Saham Menggunakan Geometric Brownian Motion
Full text linkStocks are something that is still interesting to this day to be discussed. Because the price tends to fluctuate, it is necessary to make predictions for the future in order to reduce losses for investors. Geometric Brownian Motion is a model for predicting stock prices by conducting a study through stock return data obtained. Stock return data is required to meet the assumptions of Geometric Brownian Motion. After that, the average value and volatility of the stock return data of PT. Aneka Tambang Tbk. from January 04th to June 30th 2021 amounted to -0,002376925 and 0,0212161. Through stock return parameters and data generation with a standard normal distribution, a model that is very close to the actual stock price data is obtained
The Definite Positive Property of Characteristic Function from Compound Geometric Distribution as The Sum of Gamma Distribution
Full text linkIn this expository article we survey characterization of compound geometric distribution as the sum of gamma distribution. The characterization of this compound distribution is obtained by using the property of characteristic function as the Laplace-Stieltjes transform. The property of definite positive characteristice function of compound geometric distribution as the sum of gamma distribution is explained by analytical methods as the quadratic form of characteristic function
NULLITAS MAKSIMUM MATRIKS HERMITIAN DIGAMBARKAN OLEH GRAF G
Full text linkPenelitian ini bertujuan untuk mendapatkan sebuah pola matriks Hermitian yang digambarkan graf G. Tentunya banyak kemungkinan matriks Hermitian yang didapatkan. Dengan berbantuan program Matlab, peneliti merumuskan pola matriks Hermitian yang didapatkan dengan tujuan memperoleh nullitas maksimum. Pada penilitian ini nullitas terbesar (maksimum) dari matriks Hermitian yang digambarkan graf G dapat dituliskan dengan M(G)=maks{null(A):A∈H(G), G(A)=G). Adapun graf yang digunakan pada penelitian adalah graf komplit, graf lintasan, graf sikel, graf bipartisi komplit, dan graf star. Teorema pendukung yang digunakan dalam penelitian ini untuk menentukan M(G) adalah M(G)+mr(G)=|G|, dengan mr(G) adalah minimum rank dari matriks Hermite yang digambarkan oleh graf G dan |G| adalah order dari G atau banyaknya sisi pada Graf G.
Penerapan ARIMA Pada Data Curah Hujan di Stasiun Meteorologi Kelas II Minangkabau Padang Pariaman
Full text linkRainfall is one of the indicators of climate change that has an impact. Class II Minangkabau Meteorological Station Padang Pariaman is one of the locations that has an impact on rainfall. This location is Minangkabau International Airport so that rainfall information is very important. The rainfall data used in this study is monthly data with the period January 2017 to June 2022. The ARIMA model is applied to perform forecasting or prediction of rainfall data for the next period. The results of the study based on the analysis of the Akaike Information Criterion (AIC) value obtained the best model ARIMA (3,1,0)
VALIDITAS PERANGKAT PEMBELAJARAN E-LEARNING BERBASIS EDMODO PADA MATA KULIAH ALJABAR LINEAR
Full text linkThe 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
Full text linkOne 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
Penerapan Pendidikan Matematika Dasar Menggunakan Pendekatan Realistik untuk Anak Usia Dini di Kelurahan Kampung Lapai
No full textPenyuluhan 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 din
- …
