Journal of Mathematics Computations and Statistics最新文献

{"title":"Analisis Potensi Budaya di Provinsi Maluku dengan Pendekatan Statistika Spasial","authors":"Yudistira Yudistira, S. B. Loklomin","doi":"10.35580/jmathcos.v6i1.45097","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.45097","url":null,"abstract":"Pemajuan Kebudayaan sebagai bagian dari proses pembangunan nasional yang berkelanjutan, perlu didukung dengan data dan informasi terkait kondisi faktual terkait potensi budaya baik di tingkat nasional, provinsi, maupun kabupaten/kota. Namun hingga saat ini belum banyak kajian ilmiah kuantitatif yang terkait dengan bidang kebudayaan. Penelitian ini merupakan salah satu upaya yang dilakukan untuk memperkaya kajian kuantitatif terkait bidang kebudayaan, sekaligus menerapkan pengetahuan terkait statistika spasial dalam pengolahan data dan informasi bidang kebudayaan. Metode utama yang digunakan dalam penelitian ini adalah analisis data sekunder dari berbagai sumber terkait potensi budaya di Provinsi Maluku, yang tersedia hingga tingkat kabupaten/kota. Adapun ukuran statistik spasial yang digunakan adalah indeks Global Moran, Local Indicators for Spatial Association (LISA), serta korelasi silang spasial, yang diterapkan pada seluruh variabel terkait potensi budaya dalam penelitian ini. Hasil analisis pada umumnya belum menunjukkan adanya autokorelasi spasial yang signifikan untuk setiap variabel potensi budaya tersebut. Meskipun demikian, terdapat beberapa hasil penting dari analisis tersebut yang menarik untuk diperhatikan sebagai dasar penyusunan kebijakan pengembangan kebudayaan di Provinsi Maluku.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114383532","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}

{"title":"Analisis Kekonvergenan pada Barisan Peubah Acak di Ruang Riil","authors":"Syafruddin Side, Wahi Sanusi, Nurdin Nurdin","doi":"10.35580/jmathcos.v6i1.33882","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.33882","url":null,"abstract":"Penelitian ini bertujuan untuk mengidentifikasi dan menjelaskan konsep, sifat asimptotik, hubungan dan terapan dari empat jenis kekonvergenan pada barisan peubah acak yaitu kekonvergenan hampir pasti, kekonvergenan dalam peluang, kekonvergenan dalam distribusi, dan kekonvergenan dalam rata-rata. Hasil dari kajian teori menunjukkan bahwa keempat jenis kekonvergenan ini, tertutup terhadap operasi aritmatika, setiap barisan bagiannya konvergen ke peubah acak yang sama, tetap konvergen di fungsi kontinunya, dan memiliki hubungan antara tiap-tiap jenisnya yaitu: (a) jika barisan peubah acak konvergen hampir pasti maka barisan tersebut konvergen dalam peluang berlaku sebaliknya jika barisan tersebut mempunyai barisan bagian yang konvergen hampir pasti ke limitnya, (b) jika barisan peubah acak konvergen dalam peluang maka barisan tersebut konvergen dalam distribusi berlaku sebaliknya jika limitnya suatu konstanta real, (c) jika barisan peubah acak konvergen dalam rata-rata maka barisan tersebut konvergen dalam peluang berlaku sebaliknya jika barisan tersebut terbatas dalam peluang, dan (d) tidak ada hubungan antara konvergen dalam rata-rata dan konvergen hampir pasti, serta dapat digunakan dalam pembuktian Hukum Bilangan Besar, Teorema Limit Pusat dan limit distribusi.Kata Kunci: Kekonvergenan Hampir Pasti, Kekonvergenan dalam Peluang, Kekonvergenan dalam Distribusi, Kekonvergenan dalam Rata-rata.This research aims to identify and explain the concepts, asymptotic properties, relationships and applications of four types of convergence of a sequence of random variable, namely convergence almost surely, convergence in probability, convergence in distribution and convergence in mean. The results of the theoretical study shows that these four types of convergence, are closed to arithmetic operations, each subsequence is convergent to the same random variable, remains convergent in the continuous function, and has a relationship between each type, namely: (a) if the sequence of random variable convergent almost surely then this sequence convergent in probability and otherwise if the sequence has a subsequence that convergent almost surely to its limit, (b) if the sequence of random variable convergent in probability then this sequence convergent in distribution and otherwise if the limit is a real constant, (c) if the sequence of random variable convergent in mean then this sequence convergent in probability and otherwise if the sequence is bounded in probability and (d) there is no relationship between convergent in mean and convergent almost surely, and also can be used in proving the Law of Large Number, Central Limit Theorem and limit distribution.Keywords: Convergence Almost Surely, Convergence in Probability, Convergence in Distribution, Convergence in Mean.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127152223","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}

{"title":"Analisis Pengaruh Endorsement dan Paid Promote terhadap Penjualan Online Shop dengan Teori Permainan","authors":"Restina Silalahi, M. Sinaga","doi":"10.35580/jmathcos.v6i1.33154","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.33154","url":null,"abstract":"Abstrak. Peningkatan jumlah pengguna internet memberikan inovasi terbaru dalam berbelanja yaitu online shop. Penjual dapat merepresentasikan insight penjualan dengan menggunakan strategi paid promote dan endorsement. Penelitian ini mengkaji pengaruh paid promote dan endorsement terhadap penjualan menggunakan teori permainan. Teori permainan adalah sebuah pendekatan matematis untuk merumuskan konflik dan persaingan yang melibatkan berbagai kepentingan serta memiliki keinginan untuk menang. Selanjutnya, digunakan analisis varians untuk menguji signifikansi pengaruh beberapa variabel independen terhadap variabel dependen. Adapun atribut yang digunakan adalah harga, kualitas konten dan influencer. Hasil yang diperoleh untuk strategi pemasaran terbaik paid promote agar mendapatkan keuntungan yang maksimal adalah strategi kualitas konten paid promote. Sedangkan untuk strategi pemasaran terbaik endorsement agar mendapatkan keuntungan yang maksimal adalah strategi kualitas konten endorsement. Selanjutnya hasil analisis varians menunjukkan bahwa paid promote dan endorsement berpengaruh nyata terhadap penjualan online shop.Kata Kunci: Teori Permainan, Analisis Permainan, Paid promote, Endorsement.Abstract. The growth of internet users gives the latest innovation in shopping, which is online shopping. Sellers can use paid promotions and endorsement strategies to represent the sales insights. This study examines the impact of paid promotions and endorsements on sales using game theory and variance analysis. Game theory is a mathematical approach to formulating conflict and competition that involves a variety of interests and has a desire to win. Then, variance analysis is used to test the significance of the influence some independent variables have on a dependent variable. The attributes used in this research are price, content quality, and influencer. The result for the best marketing strategies of paid promotion maximum profit is content quality of the paid promotions. Whereas, for the best marketing strategies for endorsement maximum profit is content quality of the endorsement. Then, the result of the variance analysis showed paid promotions and endorsements make a real difference to online store sales.Keywords: Game Theory, Variance Analysis, Paid Promote, Endorsement.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122378560","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}

{"title":"Penentuan Faktor Kemiskinan Indonesia Menggunakan Regresi Logistik","authors":"I. Azis, I. M. Sumertajaya, S. Purwaningsih, Sri Surjani Tjahjawati","doi":"10.35580/jmathcos.v6i1.40985","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.40985","url":null,"abstract":"Kemiskinan merupakan suatu masalah global yang dihadapai diberbagai negara, termasuk Indonesia. Penelitian ini bertujuan untuk mengetahui faktor yang memberingan pengaruh pada tingkat kemiskinan di Indonesia dengan melihat pengelompokkan kemiskinan itu sendiri. Data yang digunakan adalah data yang ada pada website badan pusat statistik dan bappenas tahun 2021 dengan model yang digunakan adalah model regresi logistik ordinal. Metode backward elimination digunakan untuk memilih model terbaik dengan nilai akaike information criterion terendah. Hasil dari penelitian ini adalah faktor produk domestik bruto dan tingkat pengangguran berpengaruh positif signifikan sedangkan jumlah penduduk dan upah minimum provinsi berpengaruh negatif seignifikan pada tingkat kemiskinan di Indonesia.Kata Kunci: backward elimination, regresi logistik, ordinal Poverty is a global problem faced by various countries, including Indonesia. This study aims to determine the factors that influence the level of poverty in Indonesia by looking at the poverty classification itself. The data used is data on the website of the Central Statistics Agency and Bappenas in 2021 with the model used is an ordinal logistic regression model. The backward elimination method is used to select the best model with the lowest information criterion akaike value. The results of this study are that the gross domestic product factor and the unemployment rate have a significant positive effect, while population size and the provincial minimum wage have a significant negative effect on the poverty rate in Indonesia.Keywords: backward elimination, logistic regression, ordinal.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114314332","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}

{"title":"Perbandingan Regresi Data Panel Variabel Perdagangan berdasarkan Periode Data Selama Pandemi Covid-19","authors":"Nina Valentika, I. M. Sumertajaya, Nunung Kusdaniyama, S. Sunardi","doi":"10.35580/jmathcos.v6i1.39687","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.39687","url":null,"abstract":"Tujuan penelitian ini adalah memodelkan pengaruh return dan volume perdagangan terhadap bid-ask spread menggunakan data bulanan dan data tahunan selama Pandemi Covid-19, serta membandingkan model regresi data panel untuk melihat pengaruh return dan volume perdagangan terhadap bid-ask spread berdasarkan periode data bulanan dan tahunan selama Pandemi Covid-19. Hasil penelitian diperoleh bahwa model terbaik untuk data bulanan dan data tahunan pada masa Pandemi Covid-19 adalah model data efek random dengan efek individu atau cross section. Pada model data efek random dengan efek individu atau cross section untuk data bulanan, diperoleh bahwa volume berpengaruh nyata terhadap bid-ask spread pada taraf nyata 5%. Sedangkan, untuk data tahunan, diperoleh bahwa return berpengaruh nyata terhadap bid-ask spread pada taraf nyata 5%. Persamaan dugaan model data efek random dengan efek individu atau cross section untuk data bulanan sebagai berikut:  Sedangkan, persamaan dugaan model data efek random dengan efek individu atau cross section untuk data tahunan sebagai berikut:  Model yang terbaik berdasarkan periode data bulanan dan tahunan adalah model data efek random dengan efek individu atau cross section dengan menggunakan data tahunan.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127563228","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}

{"title":"Solusi Numerik dari Sistem Keuangan Kacau Menggunakan Metode Improved Runge Kutta Order Tiga","authors":"Elsa Alona Victoria Tarigan, Yulita Molliq Rangkuti","doi":"10.35580/jmathcos.v6i1.37999","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.37999","url":null,"abstract":"Sistem Keuangan Kacau dapat dimodelkan ke dalam sistem persamaan diferensial non linear model matematika. Solusi dari sistem persamaan diferensial non linear dapat diperoleh dengan metode iterasi. Salah satu metode iterasi yang digunakan untuk menyelesaikan artikel ini adalah Improved Runge Kutta. Metode Improved Runge Kutta Order Tiga ini memperkenalkan istilah baru  , yang di hitung menggunakan  ,   dari langkah sebelumnya dan memiliki jumlah evaluasi fungsi yang lebih rendah daripada metode Runge Kutta. Artikel ini menunjukkan bahwa sistem keuangan kacau dapat diselesaikan menggunakan metode Improved Runge Kutta Order Tiga. Dari hasil perhitungan diperoleh bahwa solusi menggunakan Metode Improved Runge Kutta Order Tiga memiliki solusi yang mendekati solusi RK3","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124015714","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}

{"title":"Pemodelan Laju Kematian Pasien Covid-19 di RSUD Abdul Wahab Sjahranie Samarinda menggunakan Model Regresi Weibull","authors":"Nurrika Azizah, S. Suyitno, Memi Nor Hayati","doi":"10.35580/jmathcos.v6i1.36379","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.36379","url":null,"abstract":"Model regresi Weibull adalah pengembangan dari distribusi Weibull, yakni distribusi Weibull yang dipengaruhi langsung oleh kovariat. Model-model regresi Weibull yang dibahas pada penelitian ini adalah model regresi survival Weibull dan regresi hazard Weibull. Model regresi Weibull pada penelitian ini diaplikasikan pada data waktu pasien penderita penyakit COVID-19 di RSUD Abdul Wahab Sjahranie Samarinda tahun 2021. Event penelitian ini adalah kematian pasien COVID-19. Tujuan penelitian ini adalah mengetahui model regresi survival Weibull dan regresi hazard Weibull pada data waktu rawat inap pasien penderita penyakit COVID-19, mengetahui faktor-faktor yang berpengaruh terhadap peluang pasien tidak meninggal (survive)  dan laju kematian pasien penderita penyakit COVID-19, serta mengetahui interpretasi model regresi survival Weibull dan regresi hazard Weibull. Metode penaksiran parameter adalah Maximum Likelihood Estimation (MLE). Pengujian hipotesis parameter terdiri dari pengujian hipotesis parameter secara serentak dan secara parsial. Kesimpulan penelitian adalah penaksir Maximum Likelihood (ML) diperoleh menggunakan metode Iteratif Newton-Raphson. Berdasarkan pengujian hipotesis, faktor-faktor yang berpengaruh terhadap peluang tidak meninggal (survive) dan laju kematian pasien penyakit COVID-19 di RSUD Abdul Wahab Sjahranie Samarinda adalah saturasi oksigen.Kata Kunci: Iteratif Newton-Raphson, Regresi Hazard Weibull, Regresi Survival Weibull, MLE, Penyakit COVID-19. The Weibull regression model is the development of the Weibull distribution, namely the Weibull distribution which is affected directly by the covariates. The Weibull regression models discussed in this study are the Weibull survival regression model and the Weibull hazard regression model. The Weibull regression model in this study was applied to data of COVID-19 patients hospitalization time at the Abdul Wahab Sjahranie Hospital in Samarinda 2021. The event of this study was the death of the COVID-19 patients. The purpose of this study was to determine the Weibull survival regression model and Weibull hazard regression to data of COVID-19 patients hospitalization time, to know the factors that influence the chance of patients survive and the mortality rate of COVID-19 patients, and to interpret of the Weibull survival regression and Weibull hazard regression model. The parameter estimation method was Maximum Likelihood Estimation (MLE). Hypothesis parameter testing consists of parameter testing simultaneously and partially. Conclusion of this study that the Maximum Likelihood (ML) estimator was obtained using the Newton-Raphson iterative method. Based on hypothesis testing, the factors affecting the chance of survive and the mortality rate of COVID-19 patients at the Abdul Wahab Sjahranie Hospital Samarinda is oxygen saturation.Keywords: Newton-Raphson Iterative, Hazard Weibull Regression, Survival Weibull Regression, MLE, COVID-19.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128490420","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}

{"title":"Implementasi K-Means pada Klasterisasi Jenis Disabilitas","authors":"Fadiah Irine Dwiana, Wika Dianita Utami, Abdul Hamid, Sri Asih","doi":"10.35580/jmathcos.v6i1.41719","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.41719","url":null,"abstract":"Penyandang disabilitas memerlukan bantuan dari pihak yang berwenang guna mendukung aktivitas para penyandang disabilitas. Jenis disabilitas antara lain cacat tubuh, tuna netra, tuna wicara dan gangguan mental. Penelitian ini bertujuan untuk mengklasterkan disabilitas per kecamatan di Kabupaten Sidoarjo menurut jenis disabilitas menggunakan metode K-Means. Data yang digunakan adalah data jumlah disabilitas bulan Januari sampai Agustus tahun 2022. Analisis klaster ini menghasilkan empat klaster optimal dengan nilai silhouette coefficient tertinggi yaitu 0,33. Hasil analisis penelitian ini terbentuk 4 klaster pada klaster pertama yaitu 4 kecamatan dengan jumlah disabilitas sangat tinggi, klaster kedua yaitu 4 kecamatan dengan jumlah disabilitas tinggi, klaster ketiga hanya 1 kecamatan dengan jumlah disabilitas sedang, klaster keempat yaitu 5 kecamatan dengan jumlah disabilitas rendah.Kata Kunci: Disabilitas, Analisis Klaster, Metode K-Means, Silhoutte Coefficient.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124372136","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}

{"title":"Portofolio Efisien Model Markowitz dengan Kendala Proporsi Aset Positif dan Target Return yang Ditentukan","authors":"N. Nurwahidah, Asriani Hasan, Ratnah Kurniati MA","doi":"10.35580/jmathcos.v6i1.43484","DOIUrl":"https://doi.org/10.35580/jmathcos.v6i1.43484","url":null,"abstract":"Rational investors tend to diversify their asset for reducing investment risk. Markowitz portfolio model can be an investment strategy to minimize risk and maximize return of investment. This study establishes the Markowitz model portfolio with positive asset weight constraints and determined target returns. Quadratic programming is an approach used to determine the proportion of each stock in the portfolio. Therefore, 5 efficient portfolios with less risk level than individual stocks are obtained. The results of the performance measurement stated that the portfolio with asset centered proportion on BYAN had the best performance. It is due to the high expected returns and low level of risk measurement.","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121979196","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}

{"title":"Analisis Survival terhadap Kekambuhan Pasien Penderita Asma menggunakan Pendekatan Counting Process","authors":"Muhammad Abdy, Wahidah Sanusi, H. Aulia","doi":"10.35580/jmathcos.v5i2.38853","DOIUrl":"https://doi.org/10.35580/jmathcos.v5i2.38853","url":null,"abstract":"Analisis Survival atau analisis ketahanan hidup adalah sekumpulan prosedur statistik untuk menganalisis data dengan waktu sampai terjadinya suatu peristiwa tertentu sebagai variabel respons. Kejadian yang diamati seperti kematian dan kambuhnya penyakit. Analisis survival yang dapat digunakan untuk data berulang adalah Pendekatan counting process untuk event berulang yang identik dan stratified cox untuk event berulang yang tidak identik. Contoh data berulang yang identik adalah data kekambuhan pasien penyakit tidak menular seperti asma. Jenis penelitian yang dilakukan adalah penelitian terapan dengan pendekatan kuantitatif yaitu dengan mengambil atau mengumpulkan data yang diperlukan dan menganalisisnya menggunakan metode pendekatan counting process. Metode pendekatan counting process merupakan metode khusus yang digunakan untuk kejadian berulang yang identik karena setiap kejadian yang terulang akan dihitung sebagai kejadian baru dan independen. Variabel yang digunakan dalam penelitian ini adalah Time, Status, Jenis Kelamin, Usia, Perokok, Alergi, Obesitas dan Riwayat Atopik. Berdasarkan hasil penelitian, diperoleh bahwa  faktor jenis kelamin, usia dan riwayat atopik berpengaruh  terhadap kekambuhan pasien penderita asma dengan tingkat signifikansi kurang dari 10%.Kata Kunci: Analisis Survival, Asma, Data Berulang Identik, Pendekatan Counting ProcessSurvival analysis or survival analysis is a set of statistical procedures to analyze data with the time until a particular event occurs as a response variable. Observe events such as death and recurrence of the disease. Survival analysis used for recurring data is the counting process approach for identic and stratified cox recursion events for non-identical recursion events. An example of identic recursion data is patient recurrence data of non-communicable diseases such as asthma. The type of research carried out is applied research with a quantitative approach, namely by taking or collecting the necessary data and analyzing it using the counting process approach method. The counting process approach method is a specific method used for identical reccuring event, each recurring event will be counted as a new and independent event. The variables used in the study were Time, Status, Gender, Age, Smoker, Allergies, Obesity, and Atopic History. Based on the results of this study, it was found that the factors of gender, age, and atopic history had an effect on the recurrence of asthmatic patients with a significance level of less than 10%.Keywords: Survival Analysis, Asthma, Identical Repeated Data, Counting Process Approach","PeriodicalId":363413,"journal":{"name":"Journal of Mathematics Computations and Statistics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124311874","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}