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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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Survival Analysis of Sea Turtles Eggs Hatching Success using Cox non Proportional Hazard Regression Forestryani, Veniola; Fatekurohman, Mohamad; Hadi, Alfian Futuhul
Jurnal ILMU DASAR Vol 20 No 1 (2019)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.428 KB) | DOI: 10.19184/jid.v20i1.6531

Abstract

The aims of this research is to know both the model and also the factors of incubation period and hatching success of eggs of sea turtles in Kuta, Legian and Seminyak Beach, Bali from January to September 2016. The reasearch was conducted by doing survival analysis by using Cox Non Proportional Hazard regression and then compare the model derived from it with log-logistic regression model. Precipitation, location, temperature, humidity, and hours of daylight are the factors which significantly influence incubation period and hatching success of eggs of sea turtles. According to the descriptive analysis, 12≤ precipitaion <18, Seminyak Beach, 28,5≤ temperature <29,5, 86≤ humidity ≤91, and 5,8≤ hours of daylight <8,3 are the factors which have highest percentage of hatching success. Meanwhile 12≤ precipitation <18, Seminyak Beach, 28,5≤ temperature <29,5, 86≤ humidity ≤91, and 0,8≤ hours of daylight <3,3 are the factors which have highest percentage of hatching success based on the hazard value. Although Seminyak Beach has the highest rate of hatching success, it’s not significantly different from Legian beach in respect to the location factor’s categories. Keywords: hatching success, cox non proportional hazard, log-logistic, survival analysis
Cox Proportional Hazard Model for Analysis of Farmers Insurance Premium Payment Period Rosida, Ayu; Fatekurohman, Mohamat; Dewi, Yuliani Setia; Arif, M. Ziaul
BERKALA SAINSTEK Vol 12 No 3 (2024)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v12i3.47118

Abstract

The sub-sector of agriculture plays a significant role in the national economic order. The crop failure rate is one of the unexpected risks caused by natural disasters, including drought, pest attacks, and floods. Agricultural insurance has been used as a pilot project in several areas, such as Gresik and Palembang Regencies. This pilot project has not been carried out in many places and cannot be implemented optimally in Jember. Farmer insurance is a transfer of risk due to farming business losses so that the sustainability of the farming business can be guaranteed. Survival analysis is a statistical method for analyzing data with observed response variables in terms of the time until an event occurs. One survival analysis is to determine the factors that cause an event with a response variable, namely using the Cox Proportional Hazard Model. The results of the significance testing obtained the variable that had a significant influence on the model, namely the growing season variable (X4). Then, a hazard ratio comparison was made for the category of cultivation season variables, and the category with the lowest hazard value was selected, followed by the second category, the months of May until August. (X42), This significantly influenced the policyholder’s time spent paying farmer’s insurance premiums.
Application of Black Scholes Method in Determining Agricultural Insurance Premium Based On Climate Index Using Historical Burn Analysis Method Sholiha, Aminatus; Fatekurohman, Mohamat; Tirta, I Made
BERKALA SAINSTEK Vol 9 No 3 (2021)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v9i3.22920

Abstract

Climate index insurance is an insurance that provides reimbursement for losses due to decreased harvest rates or crop failures caused by weather. The use of Historical Burn Analysis (HBA) method in determining climate index based on rainfall resulted in a concept of the agricultural insurance payment in Pasuruan Regency. The application of The Black Scholes method in determining agricultural insurance premiums is obtained when rainfall more than 17 mm the premium is Rp 221,234. If the rainfall are 13 mm ≥ RR < 17 mm, the nominal premium paid by farmers to the insurance party is Rp 147,489. Respondents in the study were farmers who owned rice fields. Instrument quality testing (questionnaire) using validity test and reliability test using the help of SPSS statistical software. It can be concluded that the questionnaire is valid and reliable. Based on the results of the questionnaire, farmers considered that the nominal agricultural insurance premiums are in accordance with farmers' income.
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.  
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 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 Susanto, Susanto Tresnawanti, Dini Tutik Qomaria Wilujeng, Dian Tri Yona Eka Pratiwi Yuliani Setia Dewi Yusrillah Ihza Zianita Afni