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All Journal Jurnal Sains Matematika dan Statistika AKSIOMA JURNAL EKSAKTA PENDIDIKAN (JEP) AXIOM : Jurnal Pendidikan dan Matematika Eksakta : Berkala Ilmiah Bidang MIPA Pelita Eksakta Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Kajian Matematika dan Aplikasinya Journal of Mathematics UNP Rangkiang Mathematics Journal Jurnal Edukasi dan Penelitian Matematika
Defri Ahmad
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Other

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ANALISIS CONDITIONAL RESTRICTED BOLTZMAN MACHINE UNTUK MEMPREDIKSI HARGA SAHAM BANK SYARIAH INDONESIA Indiko Prima; Defri Ahmad
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.266

Abstract

This study aims to predict the movement of Bank Syariah Indonesia shares (BRIS.JK) prices using the Conditional Restricted Boltzmann Machine (CRBM) method. Prediction is needed in conducting share transactions, because the increase or decrease in share price movements is very difficult to predict. The CRBM method is a machine learning algorithm used to model the probability distribution of data associated with variables and inputs. CRBM is a type of Restricted Boltzman Machine (RBM) that consists of two layers, namely the input layer and the hidden layer. CRBM is a type of Boltzmann machine model equipped with a conditioned unit that is used to perform analysis and learning on data that has conditional properties. In this research, the first step is to divide several research scenarios. Then conduct CRBM tests to get prediction results. The data used is daily close data. Based on the research that has been done, it is obtained that the best prediction accuracy is in July - August with MAPE below 5%.
Model Matematika Penyebaran Penyakit Antraknosa pada Tanaman Cabe dengan Tindakan Preventif dan Kuratif Mella Susriyanti; Defri Ahmad
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika Vol 14, No 2 (2023): AKSIOMA: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/aks.v14i2.14798

Abstract

A disease that can affect chili plants is anthracnose. This disease can cause crop loss. The level of spread of this disease depends on control efforts, starting from preventive and moving to curative efforts. The purpose of this study was to form a model, analyse it, and interpret the result of a mathematical model analysis of the spread of anthracnose disease in chilies with preventive and curative measures. This type of research is basic research, and the method used is the descriptive method. The mathematical model formed is the SIRPC model.  The SIRPC model is the resultant mathematical model. Two balance point the illness free balance point and the endemic balance point are discovered as a result of the study that has been done. The asymptotically stable illness free balance point if   and   .Whereas the endemic balance point will be asymptotically stable if , , , , and . The greater the preventive action, the more the protected population increases and the vulnerable population decreases, while when the curative action is greater, the infected and carrier populations decrease.
IMPLEMENTASI FUZZY TIME SERIES LOGIKA LEE UNTUK PERAMALAN INFLASI DI INDONESIA Aulia Fitri Fireza; Defri Ahmad
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.386

Abstract

Inflation is a process of continuous increase in the price of goods or an economic situation that shows a tendency to increase the price level in general. One way to control inflation is to use forecasting. Forecasting is an activity to predict future events. Related to forecasting, the method that can be used in forecasting inflation time series data in Indonesia is the fuzzy time series method of Lee's logic. This study aims to apply Lee's Fuzzy Time Series method in forecasting inflation in Indonesia in the period January 2014 to December 2022. The forecasting results of the method are then measured using MAE and MAPE. In this study, the results of inflation forecasting in Indonesia follow the pattern of actual data. Meanwhile, the forecasting accuracy value obtained a MAE value of 0.0043 and a MAPE value of 11.7%, so that inflation forecasting in Indonesia using the Fuzzy Time Series Lee method based on MAPE criteria is good
ALGORITMA K-NEAREST NEIGHBOR TERHADAP PELUANG MAHASISWA MENJADI AKTIVIS KAMPUS PADA JURUSAN MATEMATIKA UNIVERSITAS NEGERI PADANG Muhammad Fadhli Gusvino; Defri Ahmad
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.401

Abstract

The purpose of this study was to predict whether mathematics students at Padang State University have the opportunity to become campus activists using the K-Nearest Neighbor Algorithm (KNN). This research will be used as a benchmark to calculate how many mathematics students can become activists at Padang State University. The K-Nearest Neighbor Algorithm (KNN) is a machine learning algorithm that has resistance to training data where there is a lot of noise and is more effective for large data. The K-Nearest Neighbor Algorithm itself is a distance-based data classification process for determining the closeness between different data. become the closest neighbor data and choose a class or category based on the K category of nearest neighbors. In this research, for the first step, data was collected on mathematics students based on several factors that influenced them to become activists, and an analysis of finding distance using the Euclidean distance was carried out. 46% are not activists
ANALISIS HASIL PREDIKSI MAGNITUDO GEMPA DI WILAYAH KOTA PADANG MENGGUNAKAN TEKNIK RANDOM FOREST Ade Fauzan; Defri Ahmad
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.450

Abstract

The topic of earthquake prediction is an interesting one to research. As one of the natural disasters, earthquakes are included in natural disasters that can cause considerable damage. The damage caused not only affects the economy but also the life of an area. Several studies on earthquake prediction have been conducted so far, one of which is Machine Learning and using the Random forest method. The purpose of the research is to determine the analysis of earthquake magnitude prediction results in the Padang City area using machine learning techniques. The variables used in this study are time, latitude, longitude, and magnitude. Earthquake data is obtained from the United States Geological Survey (USGS) website. This research produces an RMSE value of 0.31758 and an MSE value of 0.10085
ANALISIS PEMAHAMAN MAHASISWA TERHADAP PEMBUKTIAN PERNYATAAN MATEMATIIKA PADA TOPIK GRUP DENGAN MODUL BERBASIS LOGIKA PEMBUKTIAN Defri Ahmad; Fridgo Tasman
Jurnal Edukasi dan Penelitian Matematika Vol 9, No 4 (2020): Desember 2020
Publisher : Departemen Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pmat.v9i4.11083

Abstract

Abstract- Proving mathematics statement is one of important ability for undergraduate student to learn mathematics, especially in learning abstract algebra, real analysis, linear algebra, etc. More than a half of topic in group need proving ability to be mastered. In this article, students’ understanding on proving some statement related to group (abstract algebra) that has been help by using proof reasoning module is examined. Data of student responses are collected using three item test and interview. Based on the result student ability in starting answer and create proving structure has been improved. But students’ overall score still satisfied because they fail on choose some basic concept like theorem or definition to help them in proof. Keyword- Proof Reasoning, Group, Proof Technique, Statement Type
MODEL EVAKUASI KERAMAIAN DALAM GEDUNG MEMILIKI BEBERAPA PINTU KELUAR DENGAN MEMPERHATIKAN KEPANIKAN INDIVIDU Ghaitsa Deiwa Karufa; Defri Ahmad
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.458

Abstract

The purpose of this study is to determine the effect of panic on evacuation time. Evacuation is the movement of individuals from a place in danger to a safer place. Evacuation is usually done when there is an emergency such as an earthquake, fire or attack, which will make the movement of individuals difficult. Individuals who are in an emergency will feel panic. The panic that occurs will cause individuals to lose their way to a safer place such as an exit. This research is a basic or theoretical research. The evacuation model uses cellular automata that simulates the behavior of individuals in cells for the evacuation process. This model considers the panic factor in the evacuation process which will affect the steps taken by individuals. Individual steps based on transition probabilities will obtain evacuation time. The parameters used are static coefficient, dynamic coefficient, and panic coefficient. Simulation using software by entering the grid size, obstacle position, exit position, individual position and parameters. Based on the simulation results, it is obtained that the increase in individual panic, the longer the evacuation time
An analysis of multidimensional scaling on educational mapping and human development index in West Sumatra regency Vezalin, Stefanny; Ahmad, Defri
AXIOM : Jurnal Pendidikan dan Matematika Vol 13, No 1 (2024)
Publisher : Universitas Islam Negeri Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v13i1.15576

Abstract

Welfare is a measuring point for a society to indicate that it is in a prosperous condition. Even though West Sumatra has businesses in various sectors, in terms of equitable distribution of development, it is still uneven. The success of the development and welfare of an area can be known from the human development index (HDI) and education indicators. The purpose of this study was to identify characteristics based on the mapping results of education and HDI in districts and cities in West Sumatra Province using multidimensional scaling analysis. Based on the results of the mapping, what needs to be considered from the level of education and HDI are the Mentawai Islands Regency, Pasaman Regency, Sijunjung Regency, Solok Regency, Solok Selatan Regency, and Dharmasraya Regency with a significance level of 0,01. The  value is 99,79%, so the mapping obtained from the multidimensional scaling analysis is acceptable.
Co-Authors Abdillah Janaki Daosti Ade Fauzan Akira Mikail Alya Anzira Amellia Fadjri annisa yovinda Aulia Fitri Fireza Defrisa Yoga Putra Deva Eliza Dina Agustina Dina Fitria Fadhilah Fitri Fridgo Tasman Ghaitsa Deiwa Karufa HAFIIZH, MOCHAMMAD Hafis Alrizal Indiko Prima Jazwinarti Jazwinarti Kefiano Fangelis Laksono Trisnantoro Media Rosha Melisa Melisa Mella Susriyanti Meria Ultra Gusteti Muhammad Fadhli Gusvino Muhammad Subhan Neneng Gusnela Noni Aryanti Nurul Hikmah Rahmawati Rara Sandhy Winanda Rara Sandy Winanda Rara Shandy Winanda Rida arifi Ronal Rifandi Saddam Al Aziz Suherman Suherman Suherman Suherman Syafriandi Syafriandi Tesa Nofri Handayani Ultari Femi Arshinta Vezalin, Stefanny Vita Kusumasari Wella Kurnia windi jelita Windy Septia Putri Yani Sriyanti Yani Sriyanti