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All Journal Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Sains Matematika dan Statistika Science and Technology Indonesia NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Jurnal Matematika: MANTIK Jurnal Elementer (Elektro dan Mesin Terapan) Desimal: Jurnal Matematika Syntax Literate: Jurnal Ilmiah Indonesia JWP (Jurnal Wacana Politik) BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Limits: Journal of Mathematics and Its Applications Buletin Ilmiah Nagari Membangun Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Aplikasi Statistika & Komputasi Statistik M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jurnal Matematika UNAND Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Journal of Science and Technology Makara Journal of Health Research STATISTIKA Limits: Journal of Mathematics and Its Applications
Yanuar, Ferra
Universitas Andalas
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Bayesian inference for Pareto distribution with prior conjugate and prior non conjugate Ferra YANUAR; Cici Saputri
Jurnal Matematika, Statistika dan Komputasi Vol. 16 No. 3 (2020): JMSK, MAY, 2020
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jmsk.v16i3.8019

Abstract

The purpose of this study is to determine the best estimator for estimating the shape   parameters of the Pareto distribution with the known  scale parameter. Estimation of these parameters is done by using the Gamma distribution as the prior distribution of the conjugate and the Uniform distribution as the non-conjugate prior distribution. A comparison of the two prior distributions is done through simulation studies with various sample sizes. The best estimator net is a method that produces the smallest posterior variance, absolute bias, and Bayes confidence interval. This study proves that the Bayes estimator by using the prior conjugate distribution produces all indicators of the goodness of the model with a smaller value than the non-conjugate prior distribution. Thus it can be concluded that the estimator with prior conjugate will produce a better predictive value than prior non-conjugate.
Klasifikasi Risiko Kematian Pasien Covid-19 Menggunakan Regresi Logistik Biner Bayesian (RLBB) Muhammad Qolbi Shobri; Ferra Yanuar; Dodi Devianto
Jurnal Matematika, Statistika dan Komputasi Vol. 18 No. 1 (2021): September 2021
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v18i1.14268

Abstract

At the end of 2019 the world was shocked by a new disease caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2). The disease is called Covid-19 (Coronavirus Disease). The mortality rate due to disease is increasing every day. In Indonesia as of April 2021, confirmed Covid-19 patients who died reached 42,530 patients, seeing the high mortality rate of Covid-19 patients so it needs to be studied further so that the risk of death of these Covid-19 patients can be minimized. This research utilizing  binary logistic regression with Bayesian method parameter estimation. In this study, the predictor variables used were in the form of categories that each category in the predictor variables was assumed to have the same risk of death risk of Covid-19 patients. The results of this study indicate that the number of comorbids has a significant effect on the risk of death of Covid-19 patients, the more the number of comorbids suffered by the patient, the higher the risk of death of the patient. The accuracy of this method in classifying data is 84.68%.
The Property of Continuity And Positively Definite Characteristic Function of Compound Poisson Distribution As The Sum of Geometric Distribution Sherli Yurinanda; Ferra Yanuar; Dodi Devianto
Science and Technology Indonesia Vol. 3 No. 2 (2018): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.823 KB) | DOI: 10.26554/sti.2018.3.2.53-58

Abstract

The compound Poisson distribution as the sum of independent and identically random variables from geometric distribution is characterized by using characteristic function. The characteristic function of this compound distribution is obtained by Laplace-Stieltjes transform. It is provided a characterization of this compound distribution employing the properties of characteristic function as continuous and positively definite function.
Modeling of Human Development Index Using Ridge Regression Method Ferra Yanuar; Mardha Tillah; Dodi Devianto
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 19 No. 2 (2018): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1245.808 KB) | DOI: 10.24036/eksakta/vol19-iss2/134

Abstract

This article aims to model factors affecting HDI (Human Development Index) in North Sumatera by 2015 using ridge regression method. This ridge regression method is used because in the IPM data there is a multicolinearity problem so that the least squares regression method, as regression method commonly used in statistical modeling, is not suitable for use any more. This study compares the models resulting from the use of the least squares method and the ridge regression method to the HDI data. This study proves that the ridge regression method produces a better model and can eliminate the multicolinearity effect, while the least squares method can not. The significant factors in affecting HDI on North Sumtera data in 2015 are Average School length and Total expenditure / capita / month. The indicator of the goodness of this ridge regression model is 81.81% which means that the model is good and could be accepted.
Statistical Analysis to Evaluate The Service Quality at Community Health Center in Padang, Indonesia Aidinil Zetra; Ferra Yanuar
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 20 No. 2 (2019): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (449.465 KB) | DOI: 10.24036/eksakta/vol20-iss2/198

Abstract

Healthcare provider have to take care of patient satisfaction. Therefore, the management should do a kind of evaluation to examine the patient satisfaction on the corresponding services. The purpose of this study is to evaluate the service quality of public health centre and to identify the attributes of services to be improved. This study was cross sectional study conducted by distributing the questionairres to the patients of public health centre in Padang, Indonesia from April to June 2015. This study involved 446 respondents with complete information. Customer Satisfaction Index (CSI) was used to measure the service quality of corresponding public health centre. Importance Performance Analysis (IPA) approach was also applied to identify any attributes to be improved. The respondents of this study were very satisfied with the health service that they ever got. All attributes of service were plotted in four quadrants. This study proved that CSI and IPA methods are pertinent to be applied to measure patient satisfaction and identify any attributes of service to be maintained or improved.
Penerapan Scientific Approach melalui Model Problem Based Instruction dalam Rangka Meningkatkan Hasil Belajar Matematika Siswa Kelas 6 SDS IT Karakter Anak Shalih Haripamyu Haripamyu; Izzati Rahmi H.G; Monika Rianti Helmi; Ferra Yanuar; Hazmira Yozza; Yanita Yanita; Arrival Rince Putri; Admi Nazra; Jenizon Jenizon
Warta Pengabdian Andalas Vol 28 No 4 (2021)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.28.4.482-488.2021

Abstract

The learning method is given to the 6th-grade students of elementary school of SDS IT Karakter Anak Shalih still emphasizes learning by a teacher's tutoring method. Students are less interested in listening to the explanation of the subjects in a more extended period. Students cannot adequately understand the lesson's concepts explained through this lecture method. This finding is also reflected in the mid-test scores of students who still get scores below passed minimal score. The purpose of this activity was to grow and build students' ability to think critically, learn actively, and communicate learning outcomes well. In particular, the purpose of this activity was to apply a scientific approach through a problem-based instruction model in Mathematics with a lesson on Circle shape for grade 6 students. This activity was carried out in 3 stages, namely the preparation stage, starting with socialization and willingness collaboration from the elementary school, contacting the teacher to arrange a schedule of activities, and preparing for the implementation. The second stage was implementing activities, namely experimental methods, lectures, demonstrations, and small group discussions. The final stage was evaluating activities and providing input for better results. The accompaniment activities need to be continued to assist teachers in improving student learning outcomes in Mathematics.
POLITICAL AWARENESS, KNOWLEDGE, AND PARTICIPATION RELATIONSHIP USING STRUCTURAL EQUATION MODELING APPROACH Aidinil Zetra; Kartini Aboo Talib @Khalid; Ferra Yanuar; Susi Marisa
JWP (Jurnal Wacana Politik) Vol 7, No 1 (2022): JWP (Jurnal Wacana Politik) Maret
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jwp.v7i1.36325

Abstract

Political participation is fundamental in consolidating democracy in which political participation influences the legitimacy of society towards the running of a government. In elections, political participation could be considered community control over a government. Therefore, modeling the factors of political participation becomes essential. This cross-sectional study investigates the relationship between political awareness, political knowledge, and political participation of individuals living in Padang, Indonesia, and participating in the general election of 2020. This study employs the structural equation modeling (SEM) approach to construct the proposed model. The stability of SEM’s algorithm is checked using a reliability test. The performance of SEM and its algorithm is identified using the Bootstrap technique. The statistical tests proved that the proposed model is acceptable. This study found that political awareness has a positive and direct effect on political knowledge while political knowledge positively impacts political participation. It means that political awareness does not directly influence political participation. The political knowledge mediates it. This study suggests that individuals have to improve their public knowledge in the election to improve political participation. Meanwhile, political knowledge could be increased by improving political awareness. Indicator variables for each latent variable are also investigated in this study.
PENGENDALIAN PEMAKAIAN BAHAN BAKAR GAS PT INDONESIA POWER UPJP PRIOK MENGGUNAKAN PETA KENDALI ARMAST MIFTAHUL JANNAH HB; HAZMIRA YOZZA; FERRA YANUAR
Jurnal Matematika UNAND Vol 10, No 4 (2021)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmu.10.4.489-498.2021

Abstract

PT Indonesia Power UPJP Priok merupakan salah satu anak perusahaan PT PLN (Persero) yang bergerak pada sektor pembangkitan listrik. PT Indonesia Power UPJP Priok menggunakan bahan bakar gas Neraca Regas (NR) dan Perusahaan Gas Negara (PGN) untuk menjalankan generator yang akan menghasilkan listrik. Dalam proses pembangkitan dilakukan monitoring dan perencanaan terhadap pemakaian bahan bakar gas, agar menghasilkan energi listrik sesuai yang ditargetkan oleh perusahaan. Oleh karena itu perlu dilakukannya pengendalian terhadap pemakaian gas dengan menggunakan peta kendali. Pada penelitian ini menggunakan peta kendali ARMAST karena proses pemakaian gas di PT Indonesia Power UPJP Priok berlangsung setiap hari, sehingga data pemakaian bahan bakar gas termasuk jenis data runtun waktu. Hasil penelitian menunjukkan bahwa proses pemakaian bahan bakar gas PGN belum terkendali secara statistik, karena terdapat data yang berada diluar batas kendali.Kata Kunci: Data Runtun Waktu, Pengendalian, Peta Kendali ARMAST
Metode Bayes Empirik untuk Memodelkan Data Cacahan dengan Peubah Penyerta pada Pendugaan Area Kecil Nadia Cindi Eka Putri; Ferra Yanuar; Hazmira Yozza
Jurnal Matematika UNAND Vol 8, No 1 (2019)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmu.8.1.224-231.2019

Abstract

Metode Bayes Empirik merupakan suatu metode pada Small Area Estimation(SAE) yang menggunakan metode Bayes dalam pendugaan parameternya. Small Area Estimation(SAE) didefinisikan sebagai suatu teknik statistika untuk menduga parameter-parameter subpopulasi yang ukuran contohnya kecil, oleh karena itu diperlukan informasi tambahan agar diperoleh dugaan yang lebih akurat. Metode Bayes Empirik ini dapat digunakan pada data cacahan dengan menggunakan model PoissonGamma tanpa peubah penyerta dan dengan peubah penyerta. Penelitian ini mengkaji penggunaan metode Bayes Empirik berbasis model Poisson-Gamma pada area kecil baik secara teoritis maupun empiris melalui simulasi. Hasil penelitian ini menunjukkan penduga Bayes Empirik dengan peubah penyerta memberikan hasil yang lebih baik dengan standar error yang lebih kecil dibandingkan dengan penduga langsung dan penduga Bayes Empirik tanpa peubah penyerta.Diterima: Direvisi: Dipublikasikan :Kata Kunci: Metode Bayes Empirik, Small Area Estimation(SAE), model PoissonGamma.
PENENTUAN HARGA OPSI TIPE EROPA DENGAN MENGGUNAKAN MODEL BLACK SCHOLES FRAKSIONAL FITRI SABRINA; DODI DEVIANTO; FERRA YANUAR
Jurnal Matematika UNAND Vol 9, No 2 (2020)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmu.9.2.154-161.2020

Abstract

Harga opsi tipe Eropa dapat ditentukan dengan model Black Scholes fraksional dengan waktu jatuh tempo dapat difraksional menggunakan parameter Hurst. Gerak Brown fraksional ini dapat diformulasikan ke dalam persamaan diferensial stokastik untuk menentukan model Black Scholes fraksional. Data harga saham Microsoft Corporation (MC) dari tanggal 1 Oktober 2018 sampai 30 September 2019 dapat dibentuk ke dalam model Black Scholes fraksional. Pada saat harga pelaksanaan saham MC meningkat, harga opsi call tipe Eropa semakin menurun dan untuk harga opsi put tipe Eropa semakin meningkat. Kata Kunci: Diferensial stokastik, opsi tipe Eropa, model Black Scholes fraksional
Co-Authors Abdi Mulya Admi Nazra Amalia Dwi Putri AMALIA DWI PUTRI ANGGUN CITRA DELIMA ANNISA RAHMADIAH Arfarani Rosalindari Arrival Rince Putri Asdi, Yudiantri Astari Rahmadita ATIKAH RAHMAH PUTRI Azmi Arsa Bahri, Susila Baqi, Ahmad Iqbal Boby Canigia Budi Rudianto Budi Rudianto Catrin Muharisa Cichi Chelchillya Candra Cichi Chelchillya Candra Cici Saputri Cintya Mukti Cintya Mukti Des Welyyanti Deva, Athifa Salsabila Devianto, Dodi Dila Mulya Dina Monica DINIE ANEFI HAJARA Efendi Efendi Ermanely Ermanely Fadilla Nisa Uttaqi Fajriyah, Rahmatika Farhah Anggana Febriyuni, Rahmi Firdawati, Firdawati FITARI RESMALANI Fitri Aulia FITRI SABRINA Gusmanely Z Harahap, Vika Pradinda Haripamyu Haripamyu Hasibuan, Lilis Harianti Hazmira Yozza Helmi, Monika Rianti Ihsan Kamal Ikhlas Pratama Sandi Indah Pratiwi Izzati Rahmi HG Izzati Rahmi HG Jenizon Jenizon Kamarni, Neng Kartini Aboo Talib @Khalid Khatimah, Havifah Husnatul Lilis Harianti Hasibuan Livia Amanda M. Pio Hidayatullah M. Rizki Oktavian Maiyastri Maiyastri, Maiyastri Majbur, Ridha Fauza Mardha Tillah Mawanda Almuhayar MEILINA DINIARI Melisa Febriyana Mesi Oktafia Meutia Fikhri MIFTAHUL JANNAH HB Mira Serma Teti Mita Oktaviani Muhammad Iqbal Muhammad Qolbi Shobri Muharisa, Catrin Mutiara Fara Nabilla Nadia Cindi Eka Putri Nadiah Ramadhani NADYA PUTRI ALISYA Nadya Putri Alisya Narwen Narwen Nayla Desviona Nova Noliza Bakar Noverina Alfiany Nurmaylina Zaja Qalbi, Latifatul Radhiatul Husna RAHMI HG, IZZATI Rahmi, Fatihatur Ramadhani, Eza Syafri Religea Reza Putri Rescha, Ratna Vrima Resti Mustika Sari Resti Nanda Yani Riau, Ninda Permata Ridhatul Ilahi Riri Lestari Riri Lestari Rudiyanto Rudiyanto, Rudiyanto SAIDAH . Sani, Ridha Fadhila Saputri, Ovi Delviyanti Sari, Putri Trisna Sarmada Sarmada Sarmada, Sarmada Selfinia Selfinia SHINTA MUTIA KARNEVA Shinta Wulandari SHINTA YULIANA Silvia . SILVIA YUNANDA Sisi Andriani Siti Juriah SITI LATHIFAH IRMA SUMINDANG YUZAN Surya Puspita Sari, Surya Puspita Susi Marisa Syafwan, Mahdhivan Syauqi, Irfan Tari Adriana Musana Tasya Abrari Tasya Abrari Uswatul Hasanah VIKI ANDRIANI Widya Wijayanti WINDA LIDYA Winda Oktari WULANDARI, FRILIANDA Wulandari, Sintya wulandari, sisca Yanita Yanita Yosika Putri Yulmiati Yulmiati Yurinanda, Sherli Zahratul Aini Zetra, Aidinil Zetra, Aidinil Zulakmal, Zulakmal Zulhazizah .