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All Journal Jurnal Matematika JITEK (Jurnal Ilmiah Teknosains) Journal of Mathematics and Mathematics Education (JMME) Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal Transformasi : Jurnal Pendidikan Matematika dan Matematika Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam EDUTEC : Journal of Education And Technology Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) International Journal of Research in Community Services Jurnal Pengabdian Masyarakat: BAKTI KITA Journal of Sustainable Community Development Shof Journal of Social Impact

Novita Eka Chandra, Novita Eka

Universitas Islam Darul 'Ulum Lamongan

Author-ID : 615581

Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Veterinary Other

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ANALISIS LAJU PERTUMBUHAN PRODUK DOMESTIK REGIONAL BRUTO KABUPATEN LAMONGAN ATAS DASAR HARGA KONSTAN 2010 MENURUT LAPANGAN USAHA Chandra, Novita Eka; Rohmaniah, Siti Alfiatur
TRANSFORMASI Vol 1 No 2 (2017)
Publisher : PRODI PENDIDIKAN MATEMATIKA, FAKULTAS MIPA, UNIVERSITAS PGRI BANYUWANGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (142.345 KB)

ANALISIS LAJU PERTUMBUHAN PRODUK DOMESTIK REGIONAL BRUTO KABUPATEN LAMONGAN ATAS DASAR HARGA KONSTAN 2010 MENURUT LAPANGAN USAHA Chandra, Novita Eka; Rohmaniah, Siti Alfiatur
TRANSFORMASI Vol 1 No 2 (2017)
Publisher : Pendidikan Matematika FMIPA Universitas PGRI Banyuwangi

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

Berdasarkan data BPS kabupaten Lamongan, laju pertumbuhan PDRB kabupaten Lamongan menurut lapangan usaha mengalami kenaikan tiap tahunnya. Terjadinya kenaikan laju pertumbuhan dari setiap sektor lapangan usaha yang ada apakah sama atau berbeda. Untuk itulah dilakukan analisis mengenai laju pertumbuhan PDRB dari 18 sektor lapangan usaha yang ada di kabupaten Lamongan. Analisis dimulai dengan melakukan uji normalitas, selanjutnya uji homogenitas, serta analisis One Way Anova. Dari hasil dan pembahasan yang telah dilakukan diketahui bahwa rata-rata laju pertumbuhan PDRB di kabupaten Lamongan menurut lapangan usahanya adalah berbeda. Hal ini terlihat dari nilai p-value sebesar 0,000 kurang dari 0,05.Â Kata Kunci: PDRB, Laju Pertumbuhan, One Way Anova.

Analisis Survival Model Regresi Parametrik Lama Studi Mahasiswa Novita Eka Chandra; Siti Alfiatur Rohmaniah
Jurnal Matematika Vol 9 No 1 (2019)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2019.v09.i01.p106

Timely graduation of students can be used as an indicator to show the quality of a university. Students are said to graduate on time if they have a short study period of 4 years. The duration of the study of students varies because it is influenced by several factors. The purpose of this study is to determine the factors that have a significant effect on the duration of student studies. The factors studied included gender, GPA, school origin, joining the organization and working in college. The method used in this study is survival analysis. Survival analysis in this study used Log-normal and Weibull, parametric regression models. From the two models, it was found that the GPA and organizational factors significantly influence the duration of student studies. Next, to determine the best model is determined based on the minimum AIC value. Based on the comparison of the two models, the parametric Weibull model has a minimum AIC value, so this model is the best model. Based on HR values ??obtained by students who have a higher GPA and are more active in graduating faster or can be said to have fewer studies. Keywords: survival, regression, parametric, time of study.

ANALISIS SURVIVAL MODEL REGRESI SEMIPARAMETRIK PADA LAMA STUDI MAHASISWA Novita Eka Chandra; Siti Alfiatur Rohmaniah
Jurnal Ilmiah Teknosains Vol 5, No 2 (2019): JiTek
Publisher : Universitas PGRI Semarang

In survival analysis to determine the relationship between variables is used a regression model, one of which uses the semiparametric regression model. The semiparametric regression model is a model that does not require assumptions or information on survival data distribution. That way, this model is more flexible in its use. In this study, the semiparametric regression model used the Cox Proportional Hazard (Cox PH) regression model. Estimation of Cox PH regression parameters can be done without determining the function baseline hazard. The purpose of this study is to determine the factors that influence the duration of student studies. If there are many students whose studies have not been on time, it shows that there is a lack of professionalism in the academic field of the educator. Thus, the community will assess the low quality of the university, resulting in a decrease in the number of students who want to study at the university. The samples in this study were students of class 2014 Universitas Islam Darul Ulum Lamongan. The variables have used the length of study for students, gender, GPA, school origin, organization, and work. Based on the results of the assumption Proportional Hazard (PH) conducted, all independent variables have fulfilled these assumptions, so that these variables can be used in Cox PH regression. After parameter estimation by Cox PH regression, the GPA and organizational factors significantly influence the duration of student study. Students with high GPA and participating in organizations more quickly complete their studies.

PERHITUNGAN PREMI ASURANSI JIWA MENGGUNAKAN GENERALIZED LINEAR MIXED MODELS Siti Alfiatur Rohmaniah; Novita Eka Chandra
Jurnal Ilmiah Teknosains Vol 4, No 2 (2018): JiTek
Publisher : Universitas PGRI Semarang

The price of life insurance premiums for each person depends on the probability of death, not only based on age and gender as offered by an Indonesian insurance company. The purpose of this study is to determine premium prices on underwriting factors and frailty factors using Generalized Linear Mixed Models (GLMM). GLMM is used for modeling a combination of fixed effect heterogeneity (underwriting factors) and random effects (frailty factors) between individuals. The data used longitudinal data about underwriting factors that have Binomial distribution are taken from the Health and Retirement Study and processed using R software. Because the data used by survey data within an interval of two years, so the probability of death is obtained for an interval the next two years. Underwriting factors that have a significant effect on the probability of death are age, alcoholic status, heart disease, and diabetes. As a result, is obtained the probability of death models each individual to determine life insurance premium prices. The premium price of each individual is different because depends on underwriting factors and frailty. If frailty is positive, it means that a person level of vulnerability when experiencing the risk of death is greater than negative frailty.

MODEL REGRESI LOGISTIK PADA FAKTOR-FAKTOR YANG MEMPENGARUHI IMUNISASI LENGKAP BALITA Siti Masrofatul Azizah; Novita Eka Chandra
Jurnal Ilmiah Teknosains Vol 3, No 2 (2017): JiTek
Publisher : Universitas PGRI Semarang

Imunisasi merupakan upaya pemberian vaksin pada balita supaya balita terhindar dari penyakit infeksi berbahaya. Penelitian ini bertujuan mendapatkan model untuk mengetahui faktor yang paling berhubungan dengan kelengkapan imunisasi balita usia 1-26 bulan di wilayah Puskesmas Desa Kalanganyar. Analisis data menggunakan metode regresi logistik dengan bantuan software SPSS 16.0. Dari analisis yang menggunakan regresi logistik, diperoleh model : Y = -13,278 + 0,103 X1– 3,117 X2 + 1,846 X3 + 5,034 X4 + 3,018 X5. Berdasarkan model yang diperoleh faktor-faktor yang mempengaruhi imunisasi lengkap balita adalah usia ibu, pekerjaan ibu, pendidikan ibu, pengetahuan ibu, peran kader posyandu. Dari kelima faktor tersebut yang paling mempengaruhi model tersebut adalah faktor pengetahuan ibu. Dari persamaan regresi logistik, maka peneliti mengambil sebuah contoh pada salah satu responden yang telah melengkapi imunisasi balita, maka diperoleh peluang seorang balita mendapatkan imunisasi lengkap balita sebesar 0,746.

PENGARUH FRAILTY DALAM PEMODELAN MORTALITA Siti Alfiatur Rohmaniah; Novita Eka Chandra
Journal of Mathematics and Mathematics Education Vol 8, No 1 (2018): Journal of Mathematics and Mathematics Education (JMME)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jmme.v8i1.25832

Abstract:Factors that affect a person's risk of death are divided into two, namely underwriting factor and frailty factor. Underwriting factor is an observed factor, including age, occupation, history of heart disease, stroke, hypertension, diabetes, obesity, and etc. In contrast, frailty is a factor that cannot be observed, including a person's vulnerability of death. This study aims to determine the effect of frailty on mortality modeling. The modeling used is in the form of mortality model with underwriting factor using Generalized Linear Models method, and mortality model with underwriting factor using generalized linear models, and frailty factor using Generalized Linear Mixed Models method. The data in this research are longitudinal data related to underwriting factor that have binomial distribution which is taken from Health and retirement study and processed using R software. After comparing the two models, it can be concluded that frailty has an effect on mortality modeling.Keywords: underwriting, frailty, Generalized Linear Mixed Models.

SISTEM ANTRIAN MODELGEO/G/1 DENGAN VACATION Novita Eka Chandra; Supriyanto Supriyanto; Renny Renny
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 1 No 01 (2015): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Queue processes are stochastic processes which involve the arrival process and the service process. In a queue, there is a condition of servers that become unavailable for a period of time called vacation. The purpose of this research is to analyze the derivation Geo/G/1 queue systems model with vacation and its application. Furthermore, based on simulation on vacation model, with different values of traffic intensity and vacation parameter, we concluded that the bigger traffic intensity and vacation parameter values, then the mean of total number of costumers in a system and the mean of waiting time in the queue that is caused by vacation will be decreased.

APLIKASI METODE PANGKAT DALAM MENGAPROKSIMASI NILAI EIGEN KOMPLEKS PADA MATRIKS Novita Eka Chandra; Wiwin Kusniati
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Power method is a method of iterations to nd the eigenvalues in the matrix. Based on previous research has been conducted to nd of application thepower method eigenvalues in the matrix. However, in these studies is limited to real eigenvalues . In this study , power method applied to nd the complex eigenvalues of a matrix . With the help of Matlab program in accordance with the results obtained using the results of manual workmanship . From the results, it can be conclusion that the power method can be applied to nd the complex eigenvalues in a matrix.

PERAMALAN PENYEBARAN JUMLAH KASUS VIRUS EBOLA DI GUINEA DENGAN METODE ARIMA Novita Eka Chandra; Sarinem Sarinem
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Ebola virus can cause death. The spread number of cases of this virus is very rapidly, especially in the Guinea of West Africa. Based on the past data, the spread number of cases of ebola virus can be predicted by the method of time series namely ARIMA method. In this study the researcher used 63 cases of ebola virus. By using ARIMA method, it was found that an appropriate model for the spread of ebola virus cases is ARIMA(0,2,3). Based on the model, the spread number of cases of ebola virus can be predictedfor the next 13 periods, with the result that the spread number of cases of ebola virus has decreased from period to period.

Co-Authors Abdullah Zahid Aditya Zulkarnaen Ali Agung Prabowo Ahmad Abi Yazid Al-Bustomy Arroziq Alda Dwi Valentino Ali, Aditya Zulkarnaen Ani Habibatun Nisa Arumingtyas, Felinda Arumningtyas, Felinda Aulia, Lady Lina Awawin Mustana Rohmah Awawin Mustana Rohmah Biroudloh, Fiqiyah Ericha Dwi Ayu Prihastini Eva Wahyu Listyawati Evina Widianawati Fifin Nur Aini Fiqiyah Biroudloh Gadis Retno Apsari Galuh Adi Irawan Haykal Abidin Juliza, Melda Kiki Fatmala Dewi Lady Lina Aulia M. Syaiful Pradana Makhrus Afif Masriani Mahyuddin Megi Widiyah Triutami Mohammad Syaiful Pradana, Mohammad Syaiful Mu’tasim Billah Nafisah, Qonitatin Nisaul Barakati Selirowangi Nur Khofifah Nur Nensi Renny Renny Rifky Ardhana Kisno Saputra Robiah Adawiyah Sarinem Sarinem Seftina Diyah Miasary Selirowangi, Nisaul Barakati Sholikah, Layla Hidayatus Sinta Nurjanah Ely Siti Alfiatur Rohamaniah Siti Alfiatur Rohmaniah Siti Alfiatur Rohmaniah Siti Amiroch, Siti Siti Masrofatul Azizah Sri Haryatmi Supriyanto Supriyanto Triutami, Megi Widiyah Wiwin Kusniati Zahid, Abdullah Zulaela Zulaela

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