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All Journal Jurnal Ilmu Dasar Jurnal Gaussian BERKALA SAINSTEK AKSIOMA: Jurnal Program Studi Pendidikan Matematika UNEJ e-Proceeding Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan Vygotsky: Jurnal Pendidikan Matematika dan Matematika Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Riset Statistika Jurnal Statistika dan Komputasi (STATKOM) Edumaspul: Jurnal Pendidikan
Mohamad Fatekurohman
Fakultas Matematika Dan Ilmu Pengetahuan Alam (FMIPA),Universitas Jember
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PEMODELAN FAILURE TIME PADA MAHASISWA BERHENTI STUDI DI UNIVERSITAS JEMBER Hanifia, Fidiatma Foristy; Fatekurohman, M.; Anggraeni, Dian
Majalah Ilmiah Matematika dan Statistika Vol 20 No 1 (2020): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v20i1.17218

Abstract

Problems in higher education concerning students are always interesting objects studied from any side. One of the problems faced by universities and students is stopping study. Stopping the study of students became a problem in universities, including the University of Jember. One of the statistical methods used is Survival Analysis. In its development, survival analysis was carried out by combining the concepts of Geometric regression. Geometric is one of the non linear regression for discrete data. Geometric regression modeling cannot be done with ordinary linear modeling, but must be done using the Generalized Linear Model (GLMs) method. In this study the variables used were gender, GPA, faculty, age of entry and entry point. The results of the study students stopped studying in the first semester 140 students. Average GPA of 1.54. 62.85% male sex. Student faculty of education and teacher stopped most studies. The student entry pathway stopped the most SBMPTBR studies and 54.40% were 18 years old. Significant influential factors for stopping the study were GPA, gender and entry point. From the Geometric opportunity, it was found that female students were slower when they stopped studying than men. The faculty stops studying at the latest is the Faculty of Medicine. Keywords: Drop Out, Failure Time, Regrition Geometric Method
PERBANDINGAN MODEL ACCELERATED FAILURE TIME DAN MODEL COX PROPORTIONAL HAZARD PADA KASUS KARDIOVASKULAR Fatmala, Siti Febriana; Fatekurohman, Mohamat; Hadi, Alfian Futuhul
Majalah Ilmiah Matematika dan Statistika Vol 18 No 1 (2018): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v18i1.17244

Abstract

Cardiovascular disease is a disease that attacks the heart and blood vessels. Many types of cardiovascular diseases, but the most famous are coronary heart disease and stroke. Coronary heart disease is a disease that is the first cause of death that occurs in the world caused by risk factors and the length of time of survival of coronary heart disease patients, then using survival analysis with the Cox Proportional Hazard model and Accelerated Failure Time model. Comparison between Cox Proportional Hazard model and Accelerated Failure Time model expedited time can be determined by the survival time with a safe function, the hazard function and density function (comparison of income) of each questioned duration of time with the help of different AIC policies and the rate of deterioration. Estimation of the survival time of this cardiovascular case is determined from the Cox Proportional Hazard’s hazard ratio model and the Accelerated Failure Time’s time ratio model. The results showed that the Accelerated Failure Time model was better than the Cox Proportional Hazard model because the rate of deterioration and the AIC value was smaller than the other models and related to risk factors, namely the age and status of diabetes mellitus and the length of survival of the patient for 11 days obtained from the estimation of the survival time distribution between the Cox Proportional Hazard model and the Accelerated Failure Time model. Keywords: Coronary heart disease, survival analysis, Cox Proportional Hazard, Accelerated Failure Time
Estimating of Survival Function of Hepatitis Virus in Jember Mohamad Fatekurohman
Jurnal ILMU DASAR Vol 8 No 2 (2007)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (210.474 KB)

Abstract

Statistical method to analyse data of lifetime is called survival analysis. One problem in survival analysis is estimation of survival function. This function can be estimated by using nonparametric method. One problem in  medical is to study the lifetime of hepatitis virus. In this paper the lifetime of hepatitis viruses (A, B, C) are estimated using Nelson’s method. The results show that the three type of viruses have different lifetime and virus type A has the longest lifetime.
PENENTUAN LOKASI STRATEGIS AUTOMATIC TELLER MACHINE PT. BANK SYARIAH INDONESIA TBK MENGGUNAKAN METODE DECISION TREE Masruroh Masruroh; Mohamat Fatekurohman; Dian Anggraeni
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 14 No 1 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.1.5653

Abstract

ABSTRAK. Lokasi Automatic Teller Machine Bank Syariah Indonesia Tbk (ATM BSI) dapat dianalisis dengan mengambil beberapa data sesuai dengan faktor pendukung yang akan digunakan. Faktor pendukung yang sesuai dianalisis dengan salah satu metode klasifikasi data mining yaitu Desicion Tree untuk menentukan lokasi strategis ATM BSI yang sudah didirikan. Desicion Tree adalah salah satu metode klasifikasi pada data mining berupa pohon keputusan untuk menyelesaikan permasalahan yang diperoleh dan menghasilkan aturan-aturan yang dapat dijadikan sebuah kesimpulan. Hasil perhitungan dengan metode Desicion Tree diperoleh akurasi sesuai dengan tabel confusion matrix untuk data training 100% dengan nilai AUC 1 dan data testing 100% dengan nilai AUC 1 dengan aturan pohon keputusan berdasarkan variabel jumlah penduduk dan jarak ATM ke SPBU. Hasil akurasi menunjukkan sangat baik dan akurat serta model Desicion Tree mampu memprediksi lokasi strategis dan tidak strategis berdasarkan data lokasi yang digunakan. Kata Kunci: Lokasi strategis, Automatic Teller Machine (ATM), Metode Desicion Tree.
MODIFIKASI FLOWER POLLINATION ALGORITHM DENGAN REPLACEMENT BERBASIS ILS: PERMASALAHAN QUADRATIC BOUNDED KNAPSACK Yona Eka Pratiwi; Mohamat Fatekurohman; Firdaus Ubaidillah
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Optimization problems are the most interesting problems to discuss in mathematics. Optimization is used to modeling problems in various field to achieve the effectiveness and efficiency of the desired target. One of the optimization problems that are often encountered in everyday life is the selection and packaging of items with limited media or knapsack to get maximum profit. This problem is well-known as knapsack problem. There are various types of knapsack problems, one of them is quadratic bounded knapsack problem. In this paper, the authors proposed a new modified algorithm, which is Flower Pollination Algorithm (FPA) added with Iterated Local Search (ILS)-based Replacement mechanism. Furthermore, the implementation of the proposed algorithm, MFPA, is compared to the original FPA. Based on the results of this study, the proposed MFPA performs better and produces the best solution than the original algorithm on all data used. The advantage obtained by the MFPA algorithm is better and in accordance with the knapsack capacity. In addition, although the computational of the MFPA takes longer time than FPA with the same number of iterations, MFPA is able to find better solutions faster and able to escape from the local optimum. Keywords: Flower Pollination Algorithm, Iterated Local Search, Knapsack, Optimization, Quadratic Bounded Knapsack.
PENINGKATAN KEMAMPUAN BERPIKIR KRITIS SISWA DENGAN PENDEKATAN RME BERBASIS LSLC Dian Atika Sofie; Didik Sugeng Pambudi; Mohamat Fatekurohman; Nurcholif Diah Sri Lestari; Dian Kurniati
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 12, No 3 (2023)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v12i2.6432

Abstract

Rendahnya kemampuan berpikir kritis siswa merupakan salah satu masalah yang harus diatasi, khususnya menghadapi Era Revolusi Industri 4.0 dan pembelajaran abad 21. Salah satu cara meningkatkan kemampuan berpikir kritis siswa adalah melalui pembelajaran Realistic Mathematics Education (RME) berbasis Lesson Study for Learning Community (LSLC). Tujuan penelitian ini adalah untuk mendeskripsikan peningkatan kemampuan berpikir kritis siswa dalam pembelajaran materi SPLDV menggunakan pendekatan RME berbasis LSLC. Penelitian ini menggunakan jenis penelitian Quasi Eksperimen, dengan menggunakan satu kelas eksperimen dan satu kelas kontrol. Subjek dalam penelitian ini adalah 50 siswa kelas VIII SMP Al-Ikhlash Lumajang. Pembelajaran RME berbasis LSLC dikenakan pada 25 siswa kelas VIII A sebagai kelas eksperimen dan pembelajaran konvensional dikenakan pada 25 siswa kelas VIII B sebagai kelas kontrol. Hasil penelitian menunjukkan bahwa penerapan model RME berbasis LSLC mampu meningkatkan kemampuan berpikir kritis siswa pada materi SPLDV lebih baik dibandingkan dengan pembelajaran konvensional. Tingkat berpikir kritis siswa pada kelas eksperimen lebih besar dari kelas kontrol terjadi pada tingkat berpikir kritis level 3 (TBK 3) dan level 4 (TBK 4). Pada kedua level tersebut, kelas eksperimen mencapai 40% dan 24%, sedangkan kelas kontrol mencapai 32% dan 20%. Dari hasil ini disarankan kepada guru matematika hendaknya menerapkan pembelajaran RME berbasis LSLC dalam upaya meningkatkan kemampuan berpikir kritis siswa.
Analisis Faktor Risiko Kematian Ibu di Kabupaten Jember Menggunakan Cox Proportional Hazard Roydatul Jamila; Mohamat Fatekurohman; Dian Anggraeni
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 2, Juli, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v4i2.26669

Abstract

Maternal mortality is the death of a woman who is pregnant, giving birth and childbirth to the pregnancy or its handler. Maternal mortality in East Java Province still quite high with the highest number of deaths in 2021 is Jember Regency. The purpose of this paper is to determine risk factors that cause death in an effort to reduce the number of maternal deaths. Method used for the analysis of risk factors for maternal mortality is survival analysis with the Cox Proportional Hazard model. Survival analysis purpose to assess the relationship of predictor variables to survival time to determine maternal survival. Cox Proportional Hazard model is one of the models in survival analysis that is often used. Selection of the best model for Cox Proportional Hazard is carried out to determine the factors that have a significant effect. The best model is done by selecting the smallest AIC value backwards. Parameter significance test on the best model was carried out simultaneously and partially. Results obtained for maternal mortality factors in Jember Regency are anemia status and parity.
Perbandingan Metode Naïve Bayes Classifier dengan Metode Random Forest pada Prediksi Rating Review Drama Korea Meisty, Ferisa Dwi Alfia; Anggraeni, Dian; Fatekurohman, Mohamat
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 1, Januari, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i1.26942

Abstract

Korean dramas have very many fans and are spread in various countries. This study aims to determine whether the korean drama is classified as Bagus, Tidak Bagus, or Cukup Bagus and compares two methods, namely the naïve bayes classifier method and the random forest method in predicting korean drama review ratings. This study shows that the naïve bayes classifier and random forest methods are capable of predicting korean drama review ratings. In the prediction review, the random forest method obtained an accuracy value of 89%, while the naïve bayes classifier method obtained an accuracy value of 86%. In rating predictions, the random forest method obtains an accuracy value of 41%, while the naïve bayes classifier method obtains an accuracy value of 40%. The conclusion of this study is that the random forest method is superior and accurate in predicting Korean drama review ratings.
PENENTUAN LOKASI STRATEGIS AUTOMATIC TELLER MACHINE PT. BANK SYARIAH INDONESIA TBK MENGGUNAKAN METODE DECISION TREE Masruroh, Masruroh; Fatekurohman, Mohamat; Anggraeni, Dian
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 14 No 1 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.1.5653

Abstract

ABSTRACT. The problem of placing the location of the Automatic Teller Machine Bank Syariah Indonesia Tbk (ATM BSI) both already and to be installed can take into account various factors such as reach or distance from the center of the crowd to the location, population density, topography and security level. Decision Tree is one of the classification methods in data mining to solve the problem of various factors to determine the strategic location of BSI ATM. The results obtained from training data and testing data are 100% each and the AUC value is 1. The results show the best variables are the population variable and the distance from ATM to gas stations with very good accuracy, and able to predict strategic and non-strategic locations.Keywords: Strategic Location, Automatic Teller Machine (ATM), Decision Tree Method. ABSTRAK. Permasalahan penempatan lokasi Automatic Teller Machine Bank Syariah Indonesia Tbk (ATM BSI) baik yang sudah maupun yang akan dipasang dapat memperhatikan berbagai faktor seperti, jangkauan atau jarak dari pusat keramaian menuju lokasi, kepadatan penduduk, topografi dan tingkat keamanan. Decision Tree adalah salah satu metode klasifikasi pada data mining untuk menyelesaikan permasalahan berbagai faktor untuk menentukan lokasi strategis ATM BSI. Adapun hasil yang diperoleh dari data training dan data testing masing- masing 100% dan nilai AUC 1. Hasil menunjukkan variabel terbaik adalah variabel jumlah penduduk dan jarak ATM ke SPBU dengan akurasi sangat baik, dan mampu memprediksi lokasi strategis dan tidak strategis.Kata Kunci: Lokasi strategis, Automatic Teller Machine (ATM), Metode Decision Tree.
Analysis of the Death Risk of Covid-19 Patients Using Extended Cox model Romarizka, Cyndy; Fatekurohman, Mohamat; Tirta, I Made
Jurnal ILMU DASAR Vol 24 No 1 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v24i1.33074

Abstract

Globally, in 2021, there were 170,051,718 COVID-19 cases and 3,540,437 patients who died. The high mortality rate of patients infected with COVID-19 gives an idea to research the analysis of the factors that influence the death of Covid-19 patients. The data used in this study is data on Covid-19 patients obtained from the Mexican Government, with response variables namely time and status and predictor variables, namely patient laboratory results in the form of a history of illness that has been suffered by Covid-19 patients so that they adopt the extended model to evaluate the data. The data in this study are heterogeneous and large in number so that data clustering is carried out into 3 clusters, namely low emergency clusters, medium emergency clusters and high emergency clusters using K-means clustering. Because the study could not find the factors that influence the death of Covid-19 patients, two clusters were chosen, namely the medium emergency cluster and the high emergency cluster. So that the factors that influence the death of Covid-19 patients in the medium emergency cluster are sorted by the highest hazard ratio, namely pneumonia, old age, renal chronic, diabetes, Chronic Obstructive Pulmonary Disease (COPD), immune system, hypertension, cardiovascular, obesity, gender, and asthma. In the high emergency cluster, sorted by the highest hazard ratio is the immune system, renal chronic, cardiovascular, COPD, tobacco, hypertension, obesity, gender, and pneumonia.
Co-Authors Abduh Riski Alfian Futuhul Hadi Anak Agung Gede Sugianthara Arif, M. Ziaul Arivatus Solehah Audina, Bella Aulia, Andini Cahya Bella Audina Dian Anggraeni Dian Anggraeni Dian Atika Sofie Dian Kurniati Didik Sugeng Pambudi Dwi Putra, Candra Yanuar Dwi Putri Antika Evi Takrimatul Ailiyyah Fatmala, Siti Febriana Fendi Setiawan Firda Anisa Fajarini Firdaus Ubaidillah Firdausiah, Lailatul Firdausiah Forestryani, Veniola Hanifia, Fidiatma Foristy I Made Tirta Khan, Akhmad Safrin Sadad Khoirunnisa, Wilda Masruroh MASRUROH Masruroh Masruroh Maulidani, Noor Dyah Meisty, Ferisa Dwi Alfia Nurcholif Diah Sri Lestari Rizal, Navioer Romarizka, Cyndy Rosida, Ayu Roydatul Jamila Sholiha, Aminatus Solly Aryza SUSANTO Tresnawanti, Dini Tutik Qomaria Wilujeng, Dian Tri Yona Eka Pratiwi Yuliani Setia Dewi Yusrillah Ihza Zianita Afni