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Computational Laboratory, Mathematics Department, Faculty of Mathematics and Natural Science, Udayana University UKM Building, UKM room no 8, Kampus Bukit Jimbaran Street, Badung-Bali.
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Kota denpasar,
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Jurnal Matematika
Published by Universitas Udayana
ISSN : 16931394     EISSN : 26550016     DOI : https://doi.org/10.24843/JMAT
Core Subject : Education,
Jurnal Matematika (p-ISSN: 1693-1394 |e-ISSN: 2655-0016| DOI: 10.24843/JMAT ) is an open access journal which publishes the scientific works for researchers. The articles of this journal are published every six months, that is on June and December.
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Articles 6 Documents
Search results for , issue "Vol 12 No 1 (2022)" : 6 Documents clear
Identifikasi dan Kausalitas Dari Faktor Penyebab Perselingkuhan Di Kota Denpasar Ni Made Santiningsih; I Putu Eka Nila Kencana; I Komang Gde Sukarsa
Jurnal Matematika Vol 12 No 1 (2022)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2022.v12.i01.p144

Abstract

Infidelity can have an impact on married life, some examples of which are less harmonious relationships with partners, and divorce. Infidelity is a sexual and emotional activity carried out by one or both individuals bound by a committed relationship. This study aims to determine the causative factors of infidelity and the causative factors that dominate infidelity. The method used in this research is structural equation modeling partial least square (SEM-PLS). The place where this research was conducted is in Denpasar City with a research period of October to November 2021. Data were obtained based on a questionnaire in the form of responses from married residents to the factors causing infidelity. The questionnaires were distributed as many as 130 questionnaires. This study obtained the results that the factors that cause infidelity are sexual factors, emotional factors, love factors, and social factors. Infidelity occurs dominated by emotional factors, namely the lack of attention from partners.
Pemodelan Lama Sekolah di Kabupaten Gianyar dengan Pendekatan MARS luh putu safitri pratiwi
Jurnal Matematika Vol 12 No 1 (2022)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2021.v12.i01.p145

Abstract

MARS merupakan model yang tidak mengasumsikan bentuk hubungan fungsional antara variabel respon dan prediktor, dan mempunyai bentuk fungsional yang fleksibel. Penelitian ini bertujuan mendapatkan model rata-rata lama sekolah dan mengetahui faktor-faktor yang mempengaruhi lama sekolah di Kabupaten Gianyar. Untuk memilih model MARS terbaik, pada penelitian ini menggunakan nilai Generalized Cross Validation (GCV) minimum yang dihasilkan tiap model kombinasi dari minimum observasi (MO), basis function (BF) dan Interaksi (MI). Hasil yang diperoleh analisis MARS dengan GCV sebesar 0.950 menghasilkan kombinasi BF = 48, MO = 2 dan MI = 3. Dengan faktor mempengaruhi lama sekolah yaitu IPM (Indeks Pembangunan Manusia), pengeluaran RT perkapita (ribu rupiah), dan AMH ( Angka Melek Huruf).
Deteksi Covid-19 Berdasarkan Data Citra X-ray Menggunakan Metode GLCM dan SVM Tri Mar'ati Nur Utami; Viola Nur Meilani; Lian Fuad
Jurnal Matematika Vol 12 No 1 (2022)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2022.v12.i01.p146

Abstract

Klasifikasi COVID-19 menggunakan data citra X-Ray memiliki keunggulan antara lain harga yang terjangkau dan nilai sensitivitas yang tinggi dibandingkan dengan tes PCR, Swab, Antigen, dan Genose. Oleh karena itu, penelitian ini memiliki tujuan untuk mengklasifikasikan penyakit COVID-19 berdasarkan data citra X-Ray, dalam hal ini menggunakan metode SVM dengan dua kelas yaitu COVID-19 dan Normal. Penggunaan data dipartisi menggunakan k-fold untuk data training dan data testing. Algoritma GLCM yang berorietasi terhadap sudut 0°,45°,90°, dan 135° guna untuk mengekstraksi data citra X-Ray. Karena SVM berbasis kernel, pengujian yang dilakukan menggunakan tiga jenis percobaan kernel pada SVM dan menyimpulkan bahwa kernel polinomial dapat mengidentifikasi dengan baik dibandingkan dengan kernel linier dan RBF. Hasil terbaik diperoleh dari uji coba menggunakan kernel polynomial dengan GLCM pada sudut 45° dan 90°. Dimana hasil sensitivitas, akurasi dan spesifisitas yang diperoleh memiliki nilai yang sama yaitu masing-masing 96,60%. Sistem ini memiliki error sebesar 3,4%. Dimana terdapat satu data COVID-19 terdeteksi Normal dan satu data Normal terdeteksi COVID-19. Karena nilai akurasi melebihi 90,00%, maka disimpulkan bahwa sistem yang dibangun baik dalam mendeteksi penyakit COVID-19 dengan baik.
Perbandingan ELM dan Double Exponential Smoothing Untuk Meramalkan PDRB Di Provinsi NTT Laura Liokelly Toron; Yudi Setyawan; Noviana Pratiwi
Jurnal Matematika Vol 12 No 1 (2022)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2022.v12.i01.p147

Abstract

Abstract: Gross Regional Domestic Product is the total number of goods and services produced by production units of all economic sectors of a particular region during one year. BPS NTT noted that the economic growth rate of NTT in 2020 experienced a contraction of -0.83% from 5.24% in the previous year, so this study aims to predict NTT's GRDP using the ELM method and Holt's Double Exponential Smoothing. ELM is an artificial neural network that has one hidden layer that is applied through training and testing process, then involves a binary sigmoid activation function and a Moore Penrose Pseudo Inverse matrix to get the output weight used to predict. DES Holt is a forecasting method that pays attention to trend data plots and uses two parameters in its calculations. The results of the forecasting research show that the ELM method with a proportion of 80%:20% is the best method for predicting the GRDP of NTT. The ELM method produces quarterly GRDP values in 2021, which are 17493.19754, 18154.80753, 18712.02153, and 18822.97416 (billion rupiah) with 4 input neurons, 12 hidden layer neurons, 1 output neuron and the MAPE value is 0.7968% which is smaller than DES Holt.
Perbandingan Metode Moving Average dan Single Exponential Smoothing Pada Peramalan Inflasi Kota Purwokerto Novita Eka Chandra; Siti Alfiatur Rohmaniah
Jurnal Matematika Vol 12 No 1 (2022)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2022.v12.i01.p148

Abstract

The rate of inflation that goes up and down can lead to economic instability. To overcome this, it is necessary to forecast the value of inflation in the coming year, so that the government can make decisions in regulating economic policy. The data used in this research is the inflation data for the city of Purwokerto for 6 years. Based on the data plot, it can be seen that the data can be predicted using the Moving Average and Single Exponential Smoothing methods. The purpose of this study is to compare the two forecasting methods and determine the best method based on the error size value. From the analysis, it is found that the Single Exponential Smoothing method is better used in forecasting than the Moving Average method, because the MAPE, MSD and MAD values ??are smaller. The results of inflation forecasting for the city of Purwokerto in 2018 rose by 0.44 percent.
Analisis Regresi Multivariate Berdasarkan Latar Belakang Santri Mohammad Syaiful Pradana; Nur Nensi; Novita Eka Chandra
Jurnal Matematika Vol 12 No 1 (2022)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2022.v12.i01.p149

Abstract

The students of the Matholiul Anwar Islamic boarding school come from various different regions so that they have quite diverse social and economic backgrounds. Likewise with learning motivation, achievement motivation and student learning achievement are also diverse. This study aims to determine the effect of the social and economic background of students on achievement motivation, learning motivation and learning achievement. The research sample used was 49 students in the F dormitory of the Matholiul Anwar Sukodadi Lamongan Islamic boarding school. This study uses the Multivariate Regression Analysis model. From the results of the partial study, the effect of social status on the dependent variable was concluded that there was an effect of social status on achievement motivation, learning motivation and learning achievement. Meanwhile, for the variable of economic status on the dependent variable, it can be concluded that there is no effect of economic status on achievement motivation, learning motivation, and learning achievement. Simultaneously, it was obtained that the background of the students affected the achievement motivation, learning motivation, and learning achievement in the F dormitory of the Matholiul Anwar Islamic boarding school.

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