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All Journal FORUM STATISTIKA DAN KOMPUTASI CAUCHY: Jurnal Matematika Murni dan Aplikasi Science and Technology Indonesia Jurnal Matematika: MANTIK Jurnal Matematika Sains dan Teknologi BAREKENG: Jurnal Ilmu Matematika dan Terapan Limits: Journal of Mathematics and Its Applications Jurnal Hilirisasi IPTEKS (JHI) Jurnal Matematika UNAND Sainstek : Jurnal Sains dan Teknologi Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Jurnal Kajian Matematika dan Aplikasinya Andalasian International Journal of Agricultural and Natural Sciences Makara Journal of Health Research Jurnal Natural
Hazmira Yozza
Department Of Mathematics And Data Science Faculty Of Mathematics And Natural Science, Andalas University, Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Veterinary Other

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Comparison of Two Priors in Bayesian Estimation for Parameter of Weibull Distribution Yanuar, Ferra; Yozza, Hazmira; Rescha, Ratna Vrima
Science and Technology Indonesia Vol 4 No 3 (2019): July
Publisher : ARTS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.686 KB) | DOI: 10.26554/sti.2019.4.3.82-87

Abstract

This present study purposes to conduct Bayesian inference for scale parameters, denoted by , from Weibull distribution. The prior distribution chosen in this study is the prior conjugate, that is inverse gamma and non-informative prior, namely Jeffreys? prior. This research also aims to study several theoretical properties of posterior distribution based on prior used and then implement it to generated data and make comparison between both Bayes estimator as well. The method used to evaluate the best estimator is based on the smallest Mean Square Error (MSE). This study proved that Bayes estimator using conjugate prior produces parameter value that is better estimate than the non-informative prior since it produces smaller MSE value, for condition scale parameter value more than one based on analytic and simulation study. Meanwhile for scale parameter value less than one,  it could not yielded the good estimated value.
KONSTRUKSI MODEL HUBUNGAN DUA VARIABEL DENGAN ANALISIS REGRESI SPLINE Yozza, Hazmira; Afrimayani, Afrimayani
Sainstek : Jurnal Sains dan Teknologi Vol 11, No 1 (2019)
Publisher : IAIN Batusangkar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.193 KB) | DOI: 10.31958/js.v11i1.1279

Abstract

This paper discussed about the construction of a model the relationship between a dependent variabel and a independent variabel using spline analysis regression.  This methods is usually used when the relationship between variables is unknown.  This methods is applied to construct the growth curve for children under 3 years of age in Padang.
Modeling Length of Hospital Stay for Patients With COVID-19 in West Sumatra Using Quantile Regression Approach Yanuar, Ferra; Deva, Athifa Salsabila; Maiyastri, Maiyastri; Yozza, Hazmira; Zetra, Aidinil
CAUCHY Vol 7, No 1 (2021): CAUCHY: Jurnal Matematika Murni dan Aplikasi
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i1.12995

Abstract

This study aims to construct the model for the length of hospital stay for patients with COVID-19 using quantile regression and Bayesian quantile approaches. The quantile regression models the relationship at any point of the conditional distribution of the dependent variable on several independent variables. The Bayesian quantile regression combines the concept of quantile analysis into the Bayesian approach. In the Bayesian approach, the Asymmetric Laplace Distribution (ALD) distribution is used to form the likelihood function as the basis for formulating the posterior distribution. All 688 patients with COVID-19 treated in M. Djamil Hospital and Universitas Andalas Hospital in Padang City between March-July 2020 were used in this study. This study found that the Bayesian quantile regression method results in a smaller 95% confidence interval and higher value than the quantile regression method. It is concluded that the Bayesian quantile regression method tends to yield a better model than the quantile method. Based on the Bayesian quantile regression method, it investigates that the length of hospital stay for patients with COVID-19 in West Sumatra is significantly influenced by Age, Diagnoses status, and Discharge status.
Analisis Data Longitudinal dengan Metode Regresi Berstruktur Pohon (Kasus Penyakit Kencing Manis) Hazmira Yozza; . Siswadi; Budi Suhardjo
FORUM STATISTIKA DAN KOMPUTASI Vol. 6 No. 1 (2001)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

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

Abstract

This research aimed to analyzed longitudinal data after a tree structure regression method being applied to the data, to group some objects with the same response profile. The comparison of mean profile of all groups is also shown, as well as the comparison of each group's data with ungrouped data. The analyzed longitudinal response data are the glucose content of diabetes patients who cured in M. Jamil Hospital, Padang. Explanatory variables which assumed as the ones those have contribution to the response value are age, sex, relative body weight, kind of diabetes mellitus, complication, the recorded length of symptomps appearance and calorie content of patient's diet. The best tree of glucose content has tix terminal nodes, so that based on the glucose content profile, diabetes patient can be classified into six groups. The classification is based on the variables of kind of diabetes mellitus, age, complication, and relative body weight. The comparison applied to confidence band of glucose content mean shows that the groups have different mean glucose content. Futhermore, it is obvious that the grouped and ungrouped data have different mean of glucose content profile. It is also shown that patients who have recognized diabetes without complication and with neuropati perifer have possibility of increase of glucose content during the curing period. For other group, the treatment given gives results as expected.
Penentuan Faktor Resiko Kejadian Bayi Berat Lahir Rendah di Padang SUmatera Barat Menggunakan Analisis Regresi Logistik Hazmira Yozza; Ferra Yanuar; Izzati Rahmi; Nadya Putri Alisya
Jurnal Matematika MANTIK Vol. 6 No. 2 (2020): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mantik.2020.6.2.135-141

Abstract

Infant mortality is one of the indicators used to measure the quality of life of a nation. The World Health Organization (WHO) stated that one of the main causes of infant mortality is the low birth weight (LBW). Efforts to reduce the incidence of LBW can be done by monitoring risk factors that influence the occurrence of LBW in the prenatal phase. This study aims to identify factors that significantly influence the incidence of LBW babies in Padang, West Sumatra, Indonesia. The analysis was carried out by using Logistic Regression Analysis on the data of maternal births domiciled in Padang, West Sumatra, Indonesia. It was concluded that variables that significantly affect the incidence of LBW are maternal weight, parity, distance from a previous birth, problems during pregnancy, and babies’ gender.
ANALISIS KAUSAL MASA STUDI MAHASISWA PROGRAM STUDI MATEMATIKA UNIVERSITAS ANDALAS DENGAN MENGGUNAKAN METODE CART Izzati Rahmi; Hazmira Yozza
Jurnal Matematika Sains dan Teknologi Vol. 21 No. 1 (2020)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (646.8 KB) | DOI: 10.33830/jmst.v21i1.697.2020

Abstract

To provide a quality and sustainable education, each study program needs to evaluate the effectiveness and productivity of education, one of which is using indicator of the length of the study. The length of study is influenced by various factors. In this study observations and evaluations of the factors affecting the study period of students of Study Program of Mathematics at Andalas University were conducted by using CART (Classification and Regression Tree) method. The results showed that the most significant factor influencing the length of the study is the Grade Point Average (GPA). Students with high GPA will have a higher chance of graduating on time. Another factor influencing the length of the study is student achievement during high school. Students who consistently perform well (always get the highest rank) when in high school have a high chance of graduating on time. The analysis also showed that students who joined the organization while in high school had a higher chance of graduating on time than those who did not participate. The interesting thing is the students who choose the Study Program of Mathematics at Andalas University as the third choice had a higher chance of graduating on time than the students who choose it as the first or second choice. Dalam upaya menyelenggarakan pendidikan yang berkualitas dan berkesinambungan, maka setiap program studi perlu melakukan evaluasi terhadap efektifitas dan produktivitas pendidikan, salah satunya dengan menggunakan indikator masa studi. Masa studi mahasiswa dipengaruhi oleh berbagai faktor. Dalam penelitian ini dilakukan analisis terhadap faktor-faktor yang mempengaruhi masa studi mahasiswa Program Studi Matematika Universitas Andalas dengan menggunakan metode CART. Hasil penelitian menunjukkan bahwa faktor yang paling signifikan mempengaruhi masa studi mahasiswa adalah Indeks Prestasi Kumulatif (IPK). Mahasiswa dengan IPK tinggi akan mempunyai peluang lulus tepat waktu lebih tinggi. Faktor lain yang berpengaruh adalah prestasi mahasiswa sewaktu SMA. Mahasiswa yang konsisten berprestasi baik (selalu juara) ketika SMA mempunyai peluang yang tinggi untuk lulus tepat waktu. Hasil analisis juga menunjukkan bahwa mahasiswa yang mengikuti organisasik etika SMA mempunyai peluang lulus tepat lebih tinggi dibandingkan yang tidak ikut organisasi. Suatu hal yang cukup menarik adalah berdasarkan urutan pilihan ketika memasuki perguruan tinngi, kelompok mahasiswa yang memilih Program Studi Matematika Universitas Andalas sebagai pilihan ketiga justru memiliki peluang lulus tepat waktu yang lebih tinggi dibandingkan kelompok mahasiswa yang memilih matematika sebagai pilihan pertama atau kedua.
PELAKSANAAN BIMBINGAN BELAJAR PRIVAT SERTA KAJIAN EFIKASI DIRI DAN MOTIVASI BELAJAR MATEMATIKA UNTUK SISWA PANTI ASUHAN Izzati Rahmi H.G; Admi Nazra; Hazmira Yozza; Narwen Narwen; Yanita Yanita; Lyra Yulianti
Jurnal Hilirisasi IPTEKS Vol 2 No 2 (2019)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (951.052 KB) | DOI: 10.25077/jhi.v2i2.340

Abstract

Matematika merupakan bidang ilmu yang sangat penting namun kurang disukai oleh sebagian besar siswa. Ketidaksukaan ini disebabkan oleh kurang mempunyai mereka memahami pelajaran matematika. Untuk mengatasi hal tersebut sebagian siswa memilih belajar tambahan di luar jam sekolah. Namun hal ini tidak bisa dilakukan oleh siswa yang tinggal di panti asuhan. Karena itu diperlukan pendampingan bagi siswa panti asuhan dalam belajar matematika. Kegiatan pengabdian yang dilakukan adalah memberikan bimbingan belajar privat bagi siswa yang tinggal di panti asuhan Anak Mentawai dan Yatim H.Syafri Moesa. Hasil pengamatan menunjukkan bahwa kegiatan ini telah mampu meningkatkan minat dan motivasi siswa dalam belajar matematika. Dalam kegiatan ini juga dilakukan kajian tentang efikasi diri dan motivasi belajar siswa di bidang matematika. Hasil analisis menunjukkan bahwa secara umum hanya sedikit siswa yang memiliki efikasi diri dan motivasi belajar yang tinggi. Hal ini akan bermuara pada prestasi belajar matematika yang rendah. Hasil analisis juga menunjukkan bahwa siswa SD memiliki efikasi diri dan motivasi belajar yang lebih baik dibandingkan siswa SMP dan SMA. Hal ini dapat mengakibatkan semakin menurunnya prestasi belajar matematika seiring meningkatnya tingkatan sekolah siswa. Hasil kajian efikasi diri dan motivasi belajar diharapkan dapat menjadi pedoman dalam menyusun kegiatan pengabdian di masa yang akan datang.
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.
Application of Cart Method in Analyzing Factors Affecting Nutritional Status of Children Aged 6-23 Months Izzati Rahmi; Yozza Hazmira; Husna Radhiatul; Rahmy Hafifatul Auliya
Andalasian International Journal of Agriculture and Natural Sciences (AIJANS) Vol. 2 No. 01 (2021): Andalasian International Journal of Agricultural and Natural Sciences
Publisher : Institute of Research And Community Service, Andalas University / LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.443 KB) | DOI: 10.25077/aijans.v2.i01.63-72.2021

Abstract

This study aims to analyze factors that affect the nutritional status of children aged 6-23 months. The data used were acquired from a survey conducted at mother and child health services (‘posyandu’), daycares, and households in four districts in Padang City, West Sumatera. In this study, variables that are hypothesized to contribute to nutritional status are sex, birth weight, family income, number of family dependents, exclusive breastfeeding status, mother's employment status, education level, knowledge and nutritional behavior. Data analysis was done by using tree structure analysis namely CART method. It is showed that variables which significantly affect the nutritional status of children aged 6-23 months are mother’s education level, knowledge and nutritional behavior. Children with low mother’s education level have higher prevalence of severely underweight and underweight when mother’s knowledge is poor or enough. in the group of children whose mothers have higher level of education, the variable that has a significant influence on child’s nutritional status is mother's nutritional behavior. In the group of children whose mothers have higher level of education, the variable that has a significant influence on child’s nutritional status is mother's nutritional behavior, the prevalence of overweight is likely to be high in children whose mothers nutritional behaviour is not good. Therefore, intervention from related parties is needed to implement programs for improving mother's knowledge about nutrition that will lead to better child’s nutritional status.
MODEL NON-LINIER PADA JARINGAN SARAF TIRUAN Mutia Yollanda; Dodi Devianto; Hazmira Yozza
Jurnal Matematika UNAND Vol 7, No 3 (2018)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmu.7.3.110-118.2018

Abstract

Jaringan Saraf Tiruan merupakan model yang meniru cara kerja jaringan saraf secara biologi. Algoritma pembelajaran Jaringan Saraf Tiruan digunakan untuk melatih jaringan secara iterasi sehingga bobot antar unit dapat disesuaikan dengan galat yang ditentukan. Metode Backpropagation didesain untuk operasi pada jaringan feedforward dengan banyak lapisan sehingga memperoleh bobot jaringan dengan galat terkecil. Bobot tersebut digunakan untuk memodelkan data. Fungsi sigmoid digunakan pada jaringan feedforward sehingga menghasilkan bobot yang berbentuk tidak linear. Bobot yang berbentuk tidak linear membentuk model non-linear pada Jaringan Saraf Tiruan.Kata Kunci: Jaringan Saraf Tiruan, Metode Backpropagation, Sigmoid, Feedforward
Co-Authors . Siswadi ., Haripamyu Admi Nazra Afrimayani Afrimayani Afrimayani, Afrimayani Agni Horti Maharani Ainun Mardiah Siregar AMI LESTARI ANGGUN CITRA DELIMA Arie Hariady Arifin Arrival Rince Putri Asdi, Yudiantri ATIKAH RAHMAH PUTRI Aulia Annisya AYU ALIFAH Azzikra Febriyanti Baqi, Ahmad Iqbal Budi Rudianto Budi Suhardjo Catrin Muharisa Cindyana Aldrifisia Citra Ariadini Chairunnisa DEBBY ARMETIYANA MARGARETTA Des Welyyanti Deva, Athifa Salsabila Devianto, Dodi DHIYA ANISAH YUNARDI Dian Yosefanny Dina Maulidya Dwi Malahayati Edriani, Tiara Shofi Efendi Efendi Elita Rahma Putri ELSA FEBRIANI Evan Ilham Zulheri Ewi Jupit Fadila Aulia FANNY PRIMANDA PITER Fatrika Fahmi Fauzana Hilma FAUZANA LAILATURRAHMI Firdawati, Firdawati Fittri Rahmi Yetti FRILIANDA WULANDARI Frilianda Wulandari HABIBATUS SALMI Helmi, Monika Rianti Husna Radhiatul Ikhlas Pratama Sandi Indah Pratiwi IQBAL HAMONANGAN Iswahyuli . Izzati Rahmi HG Jamhari Jamhari Jenizon Jenizon Juliana . Laila Rahmi Lara Mahlindiani Lita Wulandari Aeli LOLANDA SYAMDENA Maiyastri, Maiyastri Marisa . Mawanda Almuhayar Mega Susanti MEILINA DINIARI MIFTAHUL JANNAH HB mila rosa Mira Serma Teti MUHAMMAD HAFANDRY Mutia Yollanda Mutiara Laily Ramadhany Nadia Cindi Eka Putri Nadia Husna Nadia Utika Nadiah Ramadhani Nadira Sri Belinda NADYA PUTRI ALISYA Nadya Putri Alisya Nadya Risna Putri Narwen Narwen Nelfa Sari Nelli Hindriani NINDI MAULA AZIZAH Nova Melisty Nova Noliza Bakar Noverina Alfiany Nur Elvi Sahra Nur Fauzana Nurmaylina Zaja Nurul Saadah Olivia Atinri Olivia Prima Dini Puteri Bulqis Azhari Rachmi Dwinta Sari Radhiatul Husna Rahmy Hafifatul Auliya Rahyu Silvia Ratih Febi Ramadhani Rescha, Ratna Vrima Resti Nanda Yani RESTY OKTAVIANI Rini Eka Putri Riri Lestari Sarifah Aulia Seno Pratama SHINTA MUTIA KARNEVA Shinta Wulandari SILVIA YUNANDA Siska Zayendra Siti Juriah Siti Rani Yelfera SRI DELIMAWATI Stepani Burni Safitri Suci Sari Wahyuni Susila Bahri Syafwan, Mahdhivan Tessy Oktavia Mukhti Tomi Desra Yuliandi UMMU BUTSAINATUL EL KHAIR Vira Agusta WAHYU ELFIYANA PUTRI Wikasanti Dwi Rahayu Winalia Agwil WINDA LIDYA Winda Oktari Wuri Wulandari Yana Wulandari Yanita Yanita Yanuar, Ferra Yessi Oktreza Yulianti, Lyra Yuliza Diana Putri Zetra, Aidinil Zikalta Putra Zulakmal .