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All Journal Jurnal Matematika: MANTIK Pedagogik Journal of Islamic Elementary School Jurnal Matematika UNAND Journal of Science and Technology Counseling and Humanities Review
Mutia Yollanda
Jurusan Matematika FMIPA Universitas Andalas Padang
Humanities Computer Science & IT Education Mathematics Neuroscience Other

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Model Indeks Harga Saham Gabungan menggunakan Artificial Neural Network dan Multivariate Adaptive Regression Spline Mutia Yollanda; Dodi Devianto; Putri Permathasari
Jurnal Matematika MANTIK Vol. 5 No. 2 (2019): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mantik.2019.5.2.112-122

Abstract

The Indonesian Composite Stock Price Index is an indicator of changes in stock prices are a guide for investors to invest in reducing risk. Fluctuations in stock data tend to violate the assumptions of normality, homoscedasticity, autocorrelation, and multicollinearity. This problem can be overcome by modelling the Composite Stock Price Index uses an artificial neural network (ANN) and multivariate adaptive regression spline (MARS). In this study, the time-series data from the Composite Stock Price Index starting in April 2003 to March 2018 with its predictor variables are crude oil prices, interest rates, inflation, exchange rates, gold prices, Down Jones, and Nikkei 225. Based on the coefficient of determination, the determination coefficient of ANN is 0.98925, and the MARS determination coefficient is 0.99427. While based on the MAPE value, MAPE value of ANN was obtained, namely 6.16383 and MAPE value of MARS, which was 4.51372. This means that the ANN method and the good MARS method are used to forecast the value of the Indonesian Composite Stock Index in the future, but the MARS method shows the accuracy of the model is slightly better than ANN.
MODEL NON-LINIER PADA JARINGAN SARAF TIRUAN Mutia Yollanda; Dodi Devianto; Hazmira Yozza
Jurnal Matematika UNAND Vol 7, No 3 (2018)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmu.7.3.110-118.2018

Abstract

Jaringan Saraf Tiruan merupakan model yang meniru cara kerja jaringan saraf secara biologi. Algoritma pembelajaran Jaringan Saraf Tiruan digunakan untuk melatih jaringan secara iterasi sehingga bobot antar unit dapat disesuaikan dengan galat yang ditentukan. Metode Backpropagation didesain untuk operasi pada jaringan feedforward dengan banyak lapisan sehingga memperoleh bobot jaringan dengan galat terkecil. Bobot tersebut digunakan untuk memodelkan data. Fungsi sigmoid digunakan pada jaringan feedforward sehingga menghasilkan bobot yang berbentuk tidak linear. Bobot yang berbentuk tidak linear membentuk model non-linear pada Jaringan Saraf Tiruan.Kata Kunci: Jaringan Saraf Tiruan, Metode Backpropagation, Sigmoid, Feedforward
MODEL NON-LINEAR PADA JARINGAN SARAF TIRUAN Mutia Yollanda; Dodi Devianto; Hazmira Yozza
Jurnal Matematika UNAND Vol 7, No 2 (2018)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmu.7.2.89-97.2018

Abstract

Abstrak. Jaringan Saraf Tiruan merupakan model yang meniru cara kerja jaringansaraf secara biologi. Algoritma pembelajaran Jaringan Saraf Tiruan digunakan untukmelatih jaringan secara iterasi sehingga bobot antar unit dapat disesuaikan dengan galatyang ditentukan. Metode Backpropagation didesain untuk operasi pada jaringan feedfor-ward dengan banyak lapisan sehingga memperoleh bobot jaringan dengan galat terke-cil. Bobot tersebut digunakan untuk memodelkan data. Fungsi sigmoid digunakan padajaringan feedforward sehingga menghasilkan bobot yang berbentuk tidak linear. Bobotyang berbentuk tidak linear membentuk model non-linear pada Jaringan Saraf Tiruan.Kata Kunci: Jaringan Saraf Tiruan, Metode Backpropagation, Sigmoid, Feedforward
Penerapan Model Regresi Logistik Terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Sumatera Barat Tahun 2019 – 2021 Fitri Rahmah Ul Hasanah; Mutia Yollanda
Journal of Science and Technology Vol 2, No 2: September 2022
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v2i2.4383

Abstract

The human development index is an indicator that can measure the success of a region in developing human quality. The success of human development can be measured by how fundamental problems in society can be overcome, such as poverty, unemployment, and lack of access to public facilities. The increase in HDI in an area can be determined by several factors, including life expectancy (UHH) and the unemployment rate. One of the models that can be used to determine the factors that significantly affect the human development index is logistic regression, where logistic regression is an approach to making a predictive model in the form of the probability of a variable.The data used in this study are HDI, UHH, and unemployment rates in West Sumatra Province in 2019–2021. Based on the multicollinearity test, there is no relationship between UHH and the unemployment rate. This study was conducted to determine the factors that significantly affect the human development index of districts/cities in West Sumatra Province. Based on the results obtained, UHH has dramatically affected the HDI of districts/cities in West Sumatra Province over the last three years.
Analisis Pengaruh Variabel Moneter Terhadap Perkembangan Ekonomi Negara ASEAN Mutia Yollanda; Fitri Rahmah Ul Hasanah
JOSTECH Journal of Science and Technology Vol 3, No 1: Maret 2023
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v3i1.5741

Abstract

This study aims to determine the effect of inflation and exchange rates on ASEAN countries' gross domestic product (GDP). The data used is secondary data accessed through the world bank from 2019 to 2021, which consists of 30 data. The independent variables used in this data are exchange rates and inflation, while the dependent variable used is gross domestic product (GDP). The panel data regression used in this study includes the common effect model, the fixed effect model and the random effect model. Based on the Chow and Hausman tests conducted, the best model in this study was the random effect model (REM). The best equation in this research is given by the equation . his study uses robustness because the normality test on the classical assumption is not fulfilled. Based on the test results, the USD exchange rate and inflation variables have a significant effect on the GDP variable. While the inflation variable has no significant effect on the GDP variable.
Determinants of Academic Stress of Elementary School Students in Digital Learning and the Role of Counseling Putra, Ade Herdian; Ardi, Zadrian; Yollanda, Mutia
Pedagogik Journal of Islamic Elementary School Vol. 8 No. 1 (2025): January - April
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/pijies.v8i1.7462

Abstract

This research seeks to identify the key determinants of academic stress experienced by elementary students within the framework of digital-based education. At the elementary school level, especially for higher grade students, digital learning often poses new challenges that are not only technical, but also emotional. Intensive use of digital media can lead to overload learning and device dependence, which in turn increases academic stress. A quantitative method with a confirmatory framework was employed in this research to validate a conceptual model that includes overload learning, nomophobia, and academic self-efficacy as key variables. Data were obtained from 290 elementary school students in West Sumatra Province through an online questionnaire developed from previously valid instruments. The analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. Findings indicated that both overload learning and nomophobia were positively and significantly associated with academic stress. On the other hand, academic self-efficacy contributed to lowering stress and served as a moderating factor in the relationships among the variables. The findings suggest that elementary school students need adequate psychosocial support, and guidance and counseling services in elementary schools are crucial in helping them manage academic stress in today's digital era.
Exploring School Enrollment Trends in Indonesia Through Time Series Analysis to Inform Counselling and Communication Strategies Yollanda, Mutia; Weisha, Ghea; Pratiwi, Lidya; Putra, Ade Herdian; Putra, Robi Jaya; Yaser, Mishbah El
Counseling and Humanities Review Vol 5, No 1 (2025): Counseling and Humanities Review
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/0001299chr2025

Abstract

A time series analysis of School Enrollment Rates across different age groups in Indonesia from 2003 to 2024 was conducted using ARIMA modelling. Data were segmented into four age groups: 7 to 12, 13 to 15, 16 to 18, and 19 to 24 years. Stationarity testing required first-order differencing, and ARIMA models were selected based on autocorrelation and partial autocorrelation structures. The ARIMA(1,1,0) model showed the best fit for the younger groups, capturing the gradual and predictable participation trends influenced by long-term education policies and stable school enrollment patterns. Forecast accuracy was evaluated using Mean Absolute Percentage Error (MAPE) and Mean Squared Error (MSE), revealing excellent accuracy for ages 7 to 12 with MAPE 0.036 percent and MSE 0.001, and for ages 13 to 15 with MAPE 0.089 percent and MSE 0.008. Forecasts for ages 16 to 18 showed moderate accuracy, while results for 19 to 24 indicated greater variability. These findings inform the development of age-specific guidance counselling and public communication strategies to address distinct educational challenges. The study underscores the utility of interpretable forecasting models in supporting evidence-based education policy and planning.
Co-Authors Devianto, Dodi Fitri Rahmah Ul Hasanah Hazmira Yozza Pratiwi, Lidya Putra, Ade Herdian PUTRA, ROBI JAYA Putri Permathasari Weisha, Ghea Yaser, Mishbah El Zadrian Ardi