Contemporary Mathematics and Applications (ConMathA)最新文献

Desain dan Implementasi Perangkat Lunak Untuk Abstraksi Berhingga Sistem Max-Plus-Linear dengan Tree Tanpa Fungsi Rekursif 抽象软件的设计和执行是一种没有递归功能的max - plu线性系统

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2023-05-07 DOI: 10.20473/conmatha.v5i1.44274

Muhammadun, Dieky Adzkiya, Imam Mukhlash

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Tentang Rumus Induksi Matematika 数学归纳法

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2023-05-07 DOI: 10.20473/conmatha.v5i1.43176

M. Syaifuddin, Siti Zahidah, S.Si, M.Si, Eridani

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Mathematical Modeling Of Household Plastic Waste Distribution Management With Transportation Methods 考虑运输方式的生活塑料垃圾分配管理数学模型

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2023-05-07 DOI: 10.20473/conmatha.v5i1.44637

Lilla Afiffah, Adinda Nur Ameliyah, A’idah Nur Hanifah, R. Artiono

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Triple-Seasonal ARIMA Untuk Peramalan Data Konsumsi Beban Listrik 电能消费数据预测

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2023-05-07 DOI: 10.20473/conmatha.v5i1.44740

Nur Azizah, Kartika Nugraheni, Syalam Ali Wira Dinata

{"title":"Triple-Seasonal ARIMA Untuk Peramalan Data Konsumsi Beban Listrik","authors":"Nur Azizah, Kartika Nugraheni, Syalam Ali Wira Dinata","doi":"10.20473/conmatha.v5i1.44740","DOIUrl":"https://doi.org/10.20473/conmatha.v5i1.44740","url":null,"abstract":"\u0000Dalam kehidupan, listrik merupakan salah satu sumber energi yang penting dan utama untuk memenuhi kebutuhan hidup manusia, baik dalam bidang industri, ekonomi maupun teknologi. Seiring dengan meningkatnya kebutuhan listrik dari waktu ke waktu, permasalahan yang dihadapi adalah kuantitas daya yang disalurkan, sehingga penyaluran listrik ke konsumen harus dioptimalkan sesuai dengan kebutuhan. Tujuannya agar dapat mengambil tindakan yang tepat berdasarkan kebutuhan listrik dan meningkatkan kualitas pelayanan kepada konsumen. Oleh karena itu, diperlukan metode peramalan beban listrik yang efektif di masa mendatang untuk mengoptimalkan kebutuhan listrik. Pada penelitian ini dilakukan peramalan dengan metode Triple SARIMA dengan menggunakan data sampel negara Denmark selama 60 menit dalam satuan Mega Watt yang diperoleh dari data sekunder open source (https://data.open-power-system-data.org/time_series/ 2020-10-06). Peramalan ini dilakukan dengan memperhitungkan faktor musiman harian, mingguan, dan tahunan. Tujuan dari penelitian ini adalah untuk mengetahui pola data beban listrik triple-seasonal terhadap pengaruh waktu periodik, mengevaluasi model triple-seasonal terbaik untuk mendapatkan minimum error dan model musiman subset, multiplicative dan additive. Hasil yang diperoleh dalam penelitian ini diperoleh 3 model sementara, kemudian dilakukan uji estimasi dan uji signifikansi dengan uji asumsi Maximum likelihood dan residual. \u0000","PeriodicalId":119993,"journal":{"name":"Contemporary Mathematics and Applications (ConMathA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121873507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulasi Numerik Model Arus Lalu Lintas dengan Pengaruh Kepadatan Kendaraan dan Kondisi Jalan 车辆密度和道路条件影响的交通流量数字模拟模型

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2023-05-07 DOI: 10.20473/conmatha.v5i1.44103

Nashrul Millah

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Designing Standard Growth Chart Based on Weight-For-Age Z-Score of Children in East Java Using Least-Square Spline Estimator 用最小二乘样条估计设计基于东爪哇儿童年龄体重z分数的标准生长图

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2022-10-10 DOI: 10.20473/conmatha.v4i2.38917

N. Chamidah, Ardi Kurniawan, T. Saifudin

{"title":"Designing Standard Growth Chart Based on Weight-For-Age Z-Score of Children in East Java Using Least-Square Spline Estimator","authors":"N. Chamidah, Ardi Kurniawan, T. Saifudin","doi":"10.20473/conmatha.v4i2.38917","DOIUrl":"https://doi.org/10.20473/conmatha.v4i2.38917","url":null,"abstract":"Children would be categorized as children who have underweight nutritional status, if according to index of anthropometric they have a lack of weight. In Indonesia, this anthropometric index is recorded on a Card Toward Health called as KMS. This card follows the WHO-2005 standard which is designed based on samples from Brazil, Ghana, India, Norway, Oman, and USA. Those samples, of course, physically are very different from Indonesian children. Therefore, in this paper we design weight-for-age Z-score standard growth charts of children by using least-square spline estimator and samples of children from East Java province, Indonesia. Next, the proposed children standard growth charts are used to assess East Java children nutritional status. The results show that the proposed standard growth charts have met the goodness of fit criteria namely the average values of coefficient determination for boy and girl are close to one, and values of mean square errors are close to zero. It means that the proposed growth charts are more suitable to be used to assess the nutritional status of East Java children, because they can better explain the real conditions of children in East Java, Indonesia than the WHO-2005 standard growth charts.","PeriodicalId":119993,"journal":{"name":"Contemporary Mathematics and Applications (ConMathA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115074781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model Data Kepemilikan Asuransi Kesehatan di Indonesia Berdasarkan Status Pekerjaan Melalui Analisis Regresi Logistik Biner Dua Level 印度尼西亚的医疗保险所有权数据模型是基于工作状况，通过两级二元物流回归分析

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2022-10-10 DOI: 10.20473/conmatha.v4i2.39354

Marsya Anggun Prisila, Anna Islamiyati, A. K. Jaya

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Penugasan Tutor Sebaya dengan Metode Pinalti 同伴辅导任务与Pinalti方法

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2022-10-10 DOI: 10.20473/conmatha.v4i2.39524

Hardy Batlajery, V. Ilwaru

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Analisis Kestabilan dan Kontrol Optimum pada Model Penyebaran Penyakit Influenza dengan Adanya Populasi Cross-Immune

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2022-10-10 DOI: 10.20473/conmatha.v4i2.39168

Bertha Aurellia Pamudya Fajar, Miswanto, Windarto

{"title":"Analisis Kestabilan dan Kontrol Optimum pada Model Penyebaran Penyakit Influenza dengan Adanya Populasi Cross-Immune","authors":"Bertha Aurellia Pamudya Fajar, Miswanto, Windarto","doi":"10.20473/conmatha.v4i2.39168","DOIUrl":"https://doi.org/10.20473/conmatha.v4i2.39168","url":null,"abstract":"Influenza is a respiratory tract infection known as flu. Caused by an RNA virus from Orthomyxoviridae family. This thesis aims to analyze the stability of the equilibrium point in the mathematical model of influenza transmission with Cross-Immune population and applying optimal control variables in the form of prevention and treatment. In this mathematical model of influenza transmission with Cross-Immune population, we obtain two equilibriums namely, the non- endemic equilibrium and the endemic equilibrium. Local stability and the existence of endemic equilibrium depend on the basic reproduction number (R0). The spread of influenza does not occur in the population when R0 < 1 and the spread of influenza persist in the population when R0 > 1. Furthermore, the problem of control variables in the mathematical model of influenza transmission is determined through the Pontryagin Maximum Principle method. The numerical simulation results show that treatment efforts are more effective in suppressing the spread of influenza disease than prevention efforts. However, giving control variables in the form of prevention and treatment at the same time is very effective in minimizing the number of human populations expose to and infected with influenza.","PeriodicalId":119993,"journal":{"name":"Contemporary Mathematics and Applications (ConMathA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127838657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods 基于混合卷积神经网络和门控循环单元方法的评论文本分类

Contemporary Mathematics and Applications (ConMathA) Pub Date : 2022-10-10 DOI: 10.20473/conmatha.v4i2.38262

Fiqih Fathor Rachim, A. Damayanti, E. Winarko

{"title":"Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods","authors":"Fiqih Fathor Rachim, A. Damayanti, E. Winarko","doi":"10.20473/conmatha.v4i2.38262","DOIUrl":"https://doi.org/10.20473/conmatha.v4i2.38262","url":null,"abstract":"Consumer reviews are opinions from buyers to sellers based on service satisfaction or product quality. The more consumer reviews cause the process of analyzing manually will be difficult. Therefore, an automated sentiment analysis system is needed. Each review will be grouped into a sentiment class which is divided into positive and negative classes. This study aims to classify review texts using the Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) methods. The research stages in this study include collecting data on Tokopedia review texts, extracting hidden information from review texts using CNN, conducting learning on review texts using GRU. A total of 1000 review texts were divided into 80% training data and 20% test data. The review text is converted into matrix using One Hot Encoding algorithm and then extracted using CNN. The CNN process includes the convolution calculation, the calculation of the Rectified Linear Unit (ReLU) activation function, and the pooling stage. The extraction results in the CNN process are continued in the GRU process. The GRU process includes initializing parameters, GRU feed forward, Cross-Entropy Error calculation, GRU feedback, and updating weights and biases. The optimal weight is obtained when the error value in the training is less than the expected minimum error or the training iteration has reached the specified maximum iteration. Optimal weight is used for validation test on test data. The implementation of review text classification using the hybrid Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) method was made using the python programming language. The accuracy of the validation test is 88.5%","PeriodicalId":119993,"journal":{"name":"Contemporary Mathematics and Applications (ConMathA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117302977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0