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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 Limits: Journal of Mathematics and Its Applications Edumaspul: Jurnal Pendidikan 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) Limits: Journal of Mathematics and Its Applications
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 Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Comparison of Online and Offline Learning During The COVID-19 Pandemic using Naïve Bayes Method and C4.5 Aulia, Andini Cahya; Fatekurohman, Mohamat; Tirta, I Made
BERKALA SAINSTEK Vol 11 No 3 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i3.31737

Abstract

Learning is a process of interaction between educators and students who meet the elements of learning carried out in an educational environment, so that learning can develop student’s abilities, interests and talents optimally. In today's era learning is done online and inversely with offline. The purpose of this study is to analyze the comparison of percentages and classification results as well as the results of learning evaluations using the Naïve Bayes method and C4.5. This test is carried out with 4 variables and a comparison of the two methods. The results showed that the accuracy of Naïve Bayes was 74.07% and C4.5. of 77.77% so that the comparison results show that the level of accuracy of the C4.5 method is better than Naïve Bayes. The resulting importance variables are time and effectiveness as well as the results of the classification of learning decisions, namely the offline category as many as 16 data on the Naïve Bayes method and 19 data on the Decision Tree algorithm C4.5 method from 27 input testing data.
Analisis Survival pada Data Pasien Covid 19 di Kabupaten Jember Audina, Bella; Fatekurohman, Mohamat
BERKALA SAINSTEK Vol 8 No 4 (2020)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v8i4.18411

Abstract

The confirmed number of positive Covid 19 cases in Indonesia until June 15th, 2020 was 38.227 people with 3.134 dead, case fatality rate 5,9%. Case fatality rate is the percentage of the number of dead people from all confirmed and reported positive cases . Particularly, in Jember Regency, the spreading of Covid 19 is still underway day by day with the increasing of number of patient so that appropriate preventive and treatment should be done precisely. The problem of the paper is the survival analysis of Covid 19 patient by using Kaplan Meier and Log Rank test method. The result of this paper, the result of the analysis using Kaplan Meier Curve method, patients with male sex have a chance of recovering faster compared with female patients and patients with age interval of 40-49 years have a chance of recovering faster than any other age intervals, meanwhile Log rank test did not provide significant results. So the Kaplan Meier Curve method is more appropriate to analyze Covid 19 patient data in Jember compared to the Log rank test.
Fungsi Likehood Pada Data Tersensor Interval Univariat Tresnawanti, Dini; Fatekurohman, Mohamad; Hadi, Alfian Futuhul
BERKALA SAINSTEK Vol 6 No 2 (2018)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v6i2.9227

Abstract

Analisis survival adalah metode statistika yang digunakan dalam mempelajari ketahanan hidup yang berhubungan dengan waktu, mulai waktu awal yang sudah ditentukan dalam penelitian sampai waktu akhir penelitian, namun ada beberapa kendala untuk mengestimasi fungsi tersebut yakni adanya data tersensor. Untuk mengestimasi fungsi dengan masalah demikian digunakan metode nonparametrik maksimum likelihood estimator dengan data tersensor interval univariat yakni data pasien kanker payudara di Rumah Sakit Baladhika Husada (DKT) berupa data interval l i =( Li , Ri ) dengan i adalah banyaknya pasien kanker Payudara serta. Pada metode NPMLE sesuai dengan usulan Turnbull perlu dicari terlebih dahulu bagaimana bentuk fungsi likelihood. Dalam mencari fungsi likelihood dengan data univariat, dilakukan pendekatan representasi petrie untuk menghasilkan matriks Clique sebagai matriks indikator (αij ) . Hasil dari penelitian ini berupa fungsi non linear dengan derajat paling besar yaitu berderajat 5. Kata Kunci: survival, nonparametrik, likelihood, matriks Clique,Turnbull.
Development of LSLC-Based Collaborative Learning Model Learning Tools And Their Effects on Critical Thinking Skills Evi Takrimatul Ailiyyah; Pambudi, Didik Sugeng; Fatekurohman, Mohamad; Kurniati, Dian; Susanto
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 6 No. 2 (2024): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v6i2.1014

Abstract

The purpose of this study is to develop collaborative learning-based learning resources and their impact on students' capacity for critical thought. This study used a combination of methods, namely development research (R&D) with Thiagarajan 4D model and experimental research. Data was collected through observations, questionnaires, tests, and interviews. The validity coefficients for the Teaching Module, worksheet, and test were 3.80, 3.80, and 3.70, respectively. Observations showed that 96% of the learning tools met practical criteria. The tools were effective, with 93% of student activities rated very good, 96% of students giving positive responses, and 85% achieving learning completion. A t-test (sig = 0.007) confirmed the collaborative learning tool based on LSLC significantly enhanced students' critical thinking skills.
KLASIFIKASI PENENTUAN LOKASI STRATEGIS OUTLET BANK SYARIAH INDONESIA DENGAN METODE NAÏVE BAYES CLASSIFIER Rizal, Navioer; Fatekurohman, Mohamat; Anggraeni, Dian
Jurnal Gaussian Vol 12, No 4 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.4.477-486

Abstract

Today, the development of the banking sector occurs in the conventional banking sector and the Islamic banking sector, one of which is developing Bank Syariah Indonesia. Bank Syariah Indonesia strives to develop a strategic new office network or branch outlet location that has not been optimal. This research aims to know and analyze the model and determination of variable importance and its effect on the strategic location classification of Bank Syariah Indonesia outlets using the Naïve Bayes Classifier method. The classification model of strategic location determination of offices or outlets obtained from the analysis results in calculating prior probability values and conditional probabilities. The results of the model evaluation test indicator for the Naïve Bayes Classifier method showed an accuracy value of 94,12% and an AUC score of 0,9808. The model was able to classify 16 of the 17 data. The model produces the results of variables importance 6 recommendations variables of the 7 variables used in the study it is location in office area, location in industrial area, populations density of the area, moslem populations of the area, distance from the security office, and distance from the market. The variable importance can be a consideration of Bank Syariah Indonesia optimizing indicators of the office location selection.
Perbandingan Algoritma K-Medoids Dan K-Means Dalam Pengelompokan Kecamatan Berdasarkan Produksi Padi Dan Palawija Di Jember Khan, Akhmad Safrin Sadad; Fatekurohman, Mohamat; Dewi, Yuliani Setia
Jurnal Statistika dan Komputasi Vol. 2 No. 2 (2023): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v2i2.2301

Abstract

Latar   Belakang: Pengelolaan tanaman pangan sangat penting untuk mendukung ketahanan pangan. Dataset menunjukkan variasi hasil panen padi dan tanaman pokok lainnya. Variasi hasil panen tersebut memerlukan pengelompokan wilayah berdasarkan hasil panen. Algoritma yang umum digunakan dalam analisis clustering adalah K-means dan K-medoids. Terdapat pada kedua algoritma tersebut yiatu K-means kompleksitas waktu lebih cepat dan K-medoids lebih tahan dengan data outlier. Sehingga perbandingan kedua algoritma dapat membantu pemilihan algoritma yang lebih baik dalam kasus tertentu Tujuan: memperoleh hasil perbandingan cluster terbaik dengan menggunakan algoritma  K-means dan K-medoids di Kabupaten Jember berdasarkan produksi padi dan palawija dan mengetahui hasil clustering dengan algoritma pengelompokan terbaik Kecamatan Jember berdasarkan produksi padi dan palawija. Metode: Algoritma clustering yang digunakan yaitu K-means dan K-medoids. Metode evaluasi menggunakan Davies Bouldien Index. Sumber data berasal dari data sekunder dari BPS Kabupaten Jember tahun 2020. Hasil: Diperoleh algoritma terbaik yaitu K-means dengan DBI 0,648 lebih kecil dibandingan K-medoids 0,886 dibagi menjadi 6 klaster yaitu klaster satu sebanyak 1 kecamatan, klaster dua sebanyak 3 kecamatan, klaster tiga sebanyak 2 kecamatan, klaster klaster empat sebanyak 3 kecamatan, klaster lima sebanyak 8 kecamatan dan klaster 6 sebanyak 14 kecamatan. Kesimpulan: K-means dengan 6 cluster menjadi algoritma terbaik untuk pengelompokan produksi tanaman pangan di Kabupaten Jember.
Analisis Ketahanan Hidup Pasien COVID-19 Menggunakan Pendekatan Multivariate Adaptive Regression Spline (MARS) Khoirunnisa, Wilda; Fatekurohman, Mohamat; Tirta, I Made
Jurnal Statistika dan Komputasi Vol. 3 No. 1 (2024): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v3i1.2700

Abstract

Latar   Belakang: Tahun 2019 dunia digemparkan dengan terjadinya penyebaran penyakit baru yaitu Coronavirus Disease 19 (COVID-19) yang merupakan penyakit menular disebabkan oleh jenis corona virus bernama Severe Acute Repiratory Syndrome Coronavirus 2 (SARS-CoV-2). Virus ini menyebabkan gangguan pada sistem pernapasan, infeksi paru-paru, pneumonia akut, bahkan kematian, sehingga dilakukan analisis ketahanan hidup pasien COVID-19. Tujuan: Mendapatkan model dan mengetahui faktor paling mempengaruhi ketahanan hidup pasien COVID-19 di RSD dr. Soebandi Jember berdasarkan variabel prediktor yang digunakan. Metode: Penelitian ini menggunakan metode pendekatan MARS untuk menganalisis data. Data yang digunakan yaitu data rekam medis pasien COVID-19 tahun 2020 – 2021 di RSD dr. Soebandi Jember. Hasil: Model MARS terbaik berdasarkan kombinasi Basis Function (BF), Maximum Interaction (MI), dan Minimum Observation (MO) yang bernilai masing-masing 24, 3, dan 0 dengan nilai Generalized Cross Validation (GCV) terkecil yaitu 0,135. Berdasarkan model MARS yang diperoleh, 7 dari 12 variabel prediktor yang digunakan berpengaruh pada ketahanan hidup pasien COVID-19 yaitu usia, jenis kelamin, status gagal napas, status hipertensi, status pneumonia, status koagulopati, dan status penyakit lainnya. Kesimpulan: Variabel yang paling mempengaruhi ketahanan hidup pasien COVID-19 di RSD dr. Soebandi menggunakan pendekatan MARS berdasarkan variabel prediktor yang digunakan adalah status gagal napas.  
NONPARAMETRIC REGRESSION MODELING USING THE SPLINE APPROACH TO STUNTING CASES IN INDONESIA Fatekurohman, Mohamat; Nur Khasanah, Siti; Setia Dewi, Yuliani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp697-708

Abstract

Indonesia is the fourth ranked country in the world and second in Southeast Asia with the highest stunting cases of 21.6%. According to the provisions of the World Health Organization (WHO), the maximum tolerance standard for stunted toddlers is 20 percent or one-fifth of the total number of toddlers, so the stunting rate in Indonesia is still relatively high. The high stunting rate in Indonesia can affect the quality of Indonesia's human resources, so early detection and immediate management of stunted toddlers are needed. Stunting is a condition of failure to grow due to chronic malnutrition which is caused by inadequate nutritional intake for a long time, resulting in being shorter than standard. This research aims to determine several factors that influence stunting in toddlers in Indonesia using the nonparametric spline regression method with one knot, two knots, three knots and the best model is found to be the one knot model. The results of regression nonparametric spline modeling with one knot are GCV of 14.32605 and of 81.1%. From the five variables, namely toddlers receiving complete basic immunization babies receiving exclusive breast milk for 6 months , babies born receiving IMD children aged 6-23 months consuming five of the eight food groups and drink throughout the day , households having access to proper sanitation , the following results were obtained: the variable that don’t have a significant effect was toddlers receiving complete basic immunization , while the other four has a significant effect.
Model CPH untuk Menganalisis Lama Pengobatan dan Tingkat Kesembuhan Pengguna Narkoba Firdausiah, Lailatul Firdausiah; Mohamad Fatekurohman
Jurnal Riset Statistika Volume 5, No. 1, Juli 2025, Jurnal Riset Statistika (JRS)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrs.v5i1.6379

Abstract

Abstract. The Cox Proportional Hazards model, in the context of drug abuse, can be used to study the time required for drug users to achieve recovery and overcome addiction. Based on data from the National Narcotics Agency (BNN), the prevalence of drug abuse in Indonesia continues to increase by 24% to 28% annually. This study aims to evaluate the relationship between the duration of treatment and various factors influencing the recovery rate of drug users, such as age, gender, duration of drug use, mental condition, education level, and type of drug used. The data for this study were obtained from Yayasan Pelita Jiwa Insani for the period between 2023 and 2024, and were analyzed using the RStudio software.The results show that the mental condition of drug users has a significant effect on both the duration of treatment and the recovery rate. Users who receive support from close relatives or loved ones have a 33.66% lower risk of relapse compared to those who do not receive such support. Abstrak. Model Cox Proportional Hazards dalam konteks penyalahgunaan narkoba, dapat digunakan untuk mempelajari waktu yang dibutuhkan pengguna narkoba untuk mencapai kesembuhan dan mengatasi ketergantungan. Berdasarkan data Badan Narkotika Nasional (BNN), prevalensi penyalahgunaan narkoba di Indonesia terus meningkat antara 24% hingga 28% setiap tahunnya. Penelitian yang dilakukan bertujuan untuk mengevaluasi hubungan antara lama pengobatan, dan faktor-faktor yang mempengaruhi tingkat kesembuhan pengguna narkoba, seperti usia, jenis kelamin, durasi penggunaan narkoba, kondisi mental, tingkat pendidikan, dan jenis narkoba yang digunakan. Data dalam penelitihan diperoleh dari Yayasan Pelita Jiwa Insani dengan periode data antara tahun 2023 hingga 2024, data diolah dengan bantuan Software Rstudio. Hasil penelitian menunjukkan bahwa faktor kondisi mental pengguna narkoba memiliki pengaruh signifikan terhadap lama pengobatan dan tingkat kesembuhan. Kondisi mental yang mendapat dukungan dari orang terdekat mengurangi risiko relaps sebesar 33,66% dibandingkan dengan kondisi mental yang tidak mendapat dukungan dari orang terdekat.
GAMLSS application for modeling the level of open unemployment in East Java Maulidani, Noor Dyah; Tirta, I Made; Fatekurohman, Mohamat
Majalah Ilmiah Matematika dan Statistika Vol. 25 No. 1 (2025): 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.v25i1.51548

Abstract

This research analyzes the application of Generalized Additive Model for Location, Scale, and Shape (GAMLSS) using penalized spline smoothing and Rigby-Stasinopoulos (RS) algorithm for modeling open unemployment rate in East Java Province in 2022. Predictor variables in this research are labor force participation rate, average years of schooling, average wages, economic growth, and registered job vacancies. GAMLSS allows the estimation of several distribution parameters (location, scale, and shape) thereby providing a broader and more flexible approximation model. The number of parameters that can be estimated depends on the type of distribution that is suitable for the data. This research uses a penalized spline as a smoothing predictor variable for the nonparametric part. The RS algorithm is an iterative procedure developed for GAMLSS models and used to estimate model parameters efficiently. Several distributions were evaluated and Normal distribution was obtained as the most suitable with two parameters (𝜇,𝜎). The Normal distribution is chosen based on model evaluation standards Generalized Akaike Information Criterion (GAIC). The effectiveness of this model was further verified through significance test and stepwise procedure. The estimation results of the location parameter (𝜇) are modeled by economic growth, average years of schooling, and registered job vacancies with the identity link function, while the scale parameter (𝜎) is modeled by economic growth and average wage with the log link function.
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 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 Tresnawanti, Dini Tutik Qomaria Yona Eka Pratiwi Yuliani Setia Dewi Yusrillah Ihza Zianita Afni