https://ejournal.uin-malang.ac.id/index.php/jrmm/issue/feedJurnal Riset Mahasiswa Matematika2022-12-31T11:00:48+07:00Juharijurnaljrmm@gmail.comOpen Journal Systems<p><strong>p-ISSN: <a href="https://issn.lipi.go.id/terbit/detail/20210927391064748" target="_blank">2808-1552</a> | e-ISSN: <a href="https://issn.lipi.go.id/terbit/detail/20211020291791635" target="_blank">2808-4926</a><br /></strong></p><p>Jurnal Riset Mahasiswa Matematika (JRMM) publishes current research articles in any area of Mathematics Research such as graph labelings, modeling, statistics, actuaria, optimal network problems, metric dimension, graph coloring, rainbow connection and other related topics. JRMM is published six times a year, namely in February, April, June, August, October, December<br /><br />JRMM is published by the Association of Indonesian Islamic Religious University Mathematics Lecturers and Department of Mathematics Universitas Islam Negeri Maulana Malik Ibrahim Malang (UIN Malang).<br /><br />All papers will be refereed in the normal manner of mathematical journals to maintain the high standards. JRMM is an open access journal. Full-text access to all papers is available for free.<br /><br />Jurnal Riset Mahasiswa Matematika (JRMM) has been indexed by Google Scholar</p>https://ejournal.uin-malang.ac.id/index.php/jrmm/article/view/14891Implementasi Data Mining Menggunakan Algoritma C4.5 pada Klasifikasi Penjualan Hijab2022-12-31T11:00:48+07:00Faridatul Husnafrdtlna02@gmail.comHairur Rahmanhairur@mat.uin-malang.ac.idJuhari Juharijuhari@uin-malang.ac.id<p class="Abstract"><span lang="EN-US">Indonesia is known as a country with a majority Muslim population, this makes the need for clothing in Indonesia must also pay attention to the criteria for Muslim clothing, one of which is the hijab. Business developments in the fashion world, especially hijab, have become a trend setter at this time so that the large amount of data in the fashion business world creates conditions where there are businesspeople who have a lot of data but lack of information from that data. To deal with these conditions, it is necessary to classify the data. A classification is a process to find the same properties in a data set to be classified into different classes. One of the classification methods is the Decision tree using the C4.5 Algorithm. This research aims to determine the model and the accuracy of the C4.5 algorithm in classifying hijab sales from several hijab brands. The Decision tree model is obtained using the C4.5 algorithm with the first root being the price attribute, where the first root is the attribute that most affected the sale of the hijab. The result of calculating the accuracy value is 87% so that the Decision tree model and the classification process using the C4.5 Algorithm are classified as good. This research is expected to help businesspeople in the fashion sector, especially hijab, to find out the factors that influence consumer interest in a hijab product.</span></p>2022-12-31T10:59:26+07:00Copyright (c) 2022 Jurnal Riset Mahasiswa Matematikahttps://ejournal.uin-malang.ac.id/index.php/jrmm/article/view/14899Implementasi Jaringan Syaraf Tiruan Backpropagation untuk Menentukan Prediksi Jumlah Permintaan Produksi Dodol Apel2022-12-31T10:59:27+07:00Farrah Nurmalia Sarifarrahnurmalias@gmail.comAri Kusumastutiarikusumastuti@gmail.comhisyam Fahmihisyam.fahmi@uin-malang.ac.id<p class="Abstract">Forecasting is importantly in accordance with the planning strategy; therefore it will affect the way of decision making. One of the forecasting methods is Artificial Neural Network with Backpropagation as the algorithm. This research aims to measure the accuracy of the network architecture which is being applied in order to calculate the prediction of the future’s apple paste product monthly demand which was obtained from CV. Bagus Agriseta Mandiri. The data which are being used are 36 monthly data from the year 2017, 2018 and 2019. Furthermore, the data obtained are normalized and divided into two, 66,66% as the data for training process and 33,33% as the data for testing process. Network architecture that is applied in this research is 12 : 10 :1, where 12 are neurons for input layer, 10 are neurons for one hidden layer and 1 is neuron for output layer. The Network with that framework obtained a result 20.161% for MAPE and 79.839% for the accuracy. That model is categorized as good enough for its forecasting ability. Moreover, the network was entirely validated using k-fold cross validation method with . The result obtained as follows: the average of MAPE is 47.079% and the average accuracy is 52.921%. According to it, the entire model can be categorized as good enough in order to run a forecast. As a comparison, another testing has been done with the same fold but different in the network architecture (model 6 – 8 – 1). The second model obtained results as follows: the average of MAPE is 26.74% and the average accuracy is 73.18%, so that the two prediction models’ ability are in the same category, it is good enough to run a forecast.</p>2022-12-31T10:59:27+07:00Copyright (c) 2022 Jurnal Riset Mahasiswa Matematikahttps://ejournal.uin-malang.ac.id/index.php/jrmm/article/view/15042Analisis Ketahanan Hidup Pada Penderita Kanker Serviks Menggunakan Regresi Cox Proportional Hazard2022-12-31T10:59:27+07:00Ummi Hafildahcvildah@gmail.comRia Dhea Layla Nur Karismariadhea@uin-malang.ac.id<p class="Abstract"><span lang="EN-US">Survival analysis is a statistical method used to analyze data with time until the occurrence of a certain event which is commonly referred to as "failure". One of the objectives of survival analysis is to determine the effect of predictor variables on survival time. The purpose of this study was to determine the regression model and determine the hazard ratio of each factor that is thought to affect the survival of cervical cancer patients. The results of this study showed that the factors that influence patients with cervical cancer in their survival are stage II and stage III variables (the patient’s stage), complications, and a history of pregnancy (who have children 0-2).</span></p>2022-12-31T10:59:27+07:00Copyright (c) 2022 Jurnal Riset Mahasiswa Matematikahttps://ejournal.uin-malang.ac.id/index.php/jrmm/article/view/15150Enkripsi dan Dekripsi Pesan Menggunakan Polinomial Galois Field dengan Algoritma Hill Cipher2022-12-31T10:59:27+07:00Amelia Vegaameliavega2030@gmail.comImam Sujarwoimsuha@mat.uin-malang.ac.idMuhammad Khudzaifahkhudzaifah@uin-malang.ac.id<p class="Abstract"><span lang="EN-US">An information is extremely easy to obtain when technology is evolving so fast and it is important to secure the information to avoid irresponsible parties who want to abuse it. Messages that are not safe will harm the owner of the message, therefore a lot of research is related to message security. This study aims to deepen the message security in encoded form using Galois Field polynomials with one of the symmetric encryption algorithms, namely the Hill Cipher algorithm. Encryption is the process of converting a message into a secret code while decryption is the reverse process. The encryption and decryption process in this discussion is carried out by changing the message character into Galois Field polynomial form, then operating calculations based on the Hill Cipher algorithm, and then changing the results of the calculation operations into character form again. Based on the modifications have been made, the encryption and decryption formulas will be multiplied by modulo in polynomials form. In this study, the encryption and decryption keys are in matrix form with elements in it are members of the Galois Field polynomial and the result is a random message of 256 characters in binary bit-8. From this research, we gain insight into the encoding that can be done using polynomials which can be used later in other forms of encoding.</span></p>2022-12-31T10:59:27+07:00Copyright (c) 2022 Jurnal Riset Mahasiswa Matematikahttps://ejournal.uin-malang.ac.id/index.php/jrmm/article/view/15668Indeks Eksentrisitas Zagreb Pertama dan Kedua Graf Koprima dari Grup Matriks Upper Unitriangular atas Ring Bilangan Bulat Modulo Prima2022-12-31T10:59:27+07:00Muhammad Aris Abdillahmuhammadarisabdillah@gmail.comDewi Ismiartidewi.ismiarti@yahoo.com<p>The coprime graph of a group G is a graph Γ_G with G is its set of vertices and any two distinct vertices are adjacent if and only if their order are relatively prime. Let p be a prime number, then G_p denotes the multiplicative group of 2×2 upper unitriangular matrices over ring of integers modulo p. The purposes of this research are to study the coprime graph Γ_(G_p ) and find the first and the second Zagreb eccentricity indices of Γ_(G_p ) for p≥3. The results of this research are as follows.<br /> First Zagreb eccentricity index of coprime graph Γ_(G_p )is<br />E_1 (Γ_(G_p ))=4p-3.<br /> Second Zagreb eccentricity index of coprime graph Γ_(G_p )is<br />E_2 (Γ_(G_p ))=2p-2.</p>2022-12-31T10:59:27+07:00Copyright (c) 2022 Jurnal Riset Mahasiswa Matematika