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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) 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 Lattice Journal : Journal of Mathematics Education and Applied STATISTIKA
Yanuar, Ferra
Universitas Andalas
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Spatial Autoregressive Quantile Regression with Application on Open Unemployment Data Ferra Yanuar; Tasya Abrari; Izzati Rahmi HG; Aidinil Zetra
Science and Technology Indonesia Vol. 8 No. 2 (2023): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2023.8.2.321-329

Abstract

The Open Unemployment Level (OUL) is the percentage of the unemployed to the total labor force. One of the provinces with the highest OUL score in Indonesia is West Java Province. If an object of observation is affected by spatial effects, namely spatial dependence and spatial diversity, then the regression model used is the Spatial Autoregressive (SAR) model. Quantile regression minimizes absolute weighted residuals that are not symmetrical. It is perfect for use on data distribution that is not normally distributed, dense at the ends of the data distribution, or there are outliers. The Spatial Autoregressive Quantile Regression (SARQR) is a model that combines spatial autoregressive models with quantile regression. This research used the data regarding OUR in West Java in 2020 from the Central Bureau of Statistics. This study develops to modeling the Open Unemployment Level in all province in Indonesia using modified spatial autoregressive model with the quantile regression approach. This study compares the estimation results based on SAR and SARQR models to obtain an acceptable model. In this study, it was found that the SARQR model is better than SAR at dealing with the problems of dependency and diversity in spatial data modeling and is not easily affected by the presence of outlier data.
Peningkatan Minat dan Motivasi Santri Pesantren Al-‘Ashry dalam Pembelajaran Matematika dengan Teka-Teki Matematika Persegi Ajaib Hazmira Yozza; Izzati Rahmi HG; Budi Rudianto; Admi Nazra; Noverina Alfiany; Deswelyyanti Deswelyyanti; Ferra Yanuar; Dodi Devianto
Warta Pengabdian Andalas Vol 30 No 1 (2023)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.30.1.52-59.2023

Abstract

Mathematics is one of the most essential basic sciences because it closely relates to everyday life and the development of other disciplines. It should be taught at every education level, likewise for Islamic boarding school students. In addition to having extensive religious knowledge, students must also have increased thinking, logic and reasoning. In addition, mathematics is also an essential tool in studying several topics of Islamic law, such as inheritance law and zakat. Therefore, mathematics must be taught in the education and teaching curriculum at the Islamic boarding school, including the As-'Ashry Islamic Boarding School. One of the obstacles the Al-'Ashry Islamic boarding school faces in teaching mathematics is that students need more interest and motivation in learning mathematics. Therefore, this community service activity was carried out to increase the interest and motivation of students to learn mathematics. The activity was held on December 7, 2022. The activity was carried out in two forms: a motivational lecture and a math puzzle called Magic Square. Based on the evaluation carried out by the community service team, it was evident that the students were interested in the activities carried out. Students were fully involved in every activity carried out.
Perankingan Proporsi Kematian Pasien Covid-19 di Indonesia Menggunakan Metode Bayes Muhammad Qolbi Shobri; Ferra Yanuar; Dodi Devianto
Statistika Vol. 21 No. 2 (2021): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v21i2.328

Abstract

Jumlah kematian akibat terinfeksi Coronavirus Deases 2019 (Covid-19) kian hari kian bertambah. Hal ini dikarenakan belum ada obat yang tepat dan penanganan yang baik dalam mengatasi Covid-19 ini. Hampir setiap provinsi di Indonesia angka kematian akibat terinfeksi penyakit ini terbilang cukup memprihatinkan. Hal ini perlu dilakukan perankingan wilayah untuk melihat pemusatan daerah yang memiliki tingkat proposi kematian yang tinggi. Perankingan adalah upaya untuk mengurutkan sesuatu dari yang terbaik sampai yang terburuk dan sebaliknya. Nilai yang diurutkan berdasarkan hasil pendugaan parameter populasi seperti mean, standar deviasi, proporsi dan lain sebagainya. Penelitian ini bertujuan untuk melakukan perankingan proporsi kematian pasien Covid-19 di Indonesia dengan menggunakan metode Bayes. Metode bayes merupakan salah satu teknik pendugaan parameter yang menggunakan fungsi likelihood dengan fungsi distribusi prior untuk memperoleh distribusi posterior. Nilai mean dari distribusi posterior akan dijadikan parameter dugaan dari metode Bayes. Data penelitian ini diasumsikan berdistribusi Binomial dengan parameter p sebagai proporsi tingkat kematian. Dari penelitian ini diperoleh bahwa provinsi Jawa Timur, Lampung dan Sumatera Selatan merupakan daerah dengan proporsi kematian pasien Covid-19 tertinggi. Sementara itu, provinsi Jawa Barat, Kalimantan Barat dan Papua memiliki proporsi kematian pasien Covid-19 yang lebih rendah dibandingkan dengan provinsi lainnya.
PEMODELAN PERTAMBAHAN TINGGI BADAN BALITA STUNTING DI KABUPATEN SOLOK DENGAN METODE REGRESI TOBIT KUANTIL BAYESIAN Arfarani Rosalindari; Ferra Yanuar; Dodi Devianto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.383

Abstract

This study analyzes the model of stunting toddler height gain and its influencing factors with Bayesian Tobit Quantile Regression (BTQR). The data used in this study are secondary data in the form of height data for stunting toddlers in Solok Regency, West Sumatra in calculations conducted in August 2021 and February 2022 obtained from the Solok Regency Health Office, West Sumatra. After analyzing the height gain data with the BTQR method, it was found that the model at quantile 0.50 was the best model because it produced smaller MAE and RMSE values than other quantiles in estimating parameters with the BTQR method and it was found that the exclusive breastfeeding variable  and the Immunization variable  had a significant effect on the height gain of stunting toddlers
PERBANDINGAN METODE MLE BAYESIAN LOSS FUNCTION DALAM PENDUGAAN PARAMETER DISTRIBUSI INVERS RAYLEIGH Muhammad Iqbal; Ferra Yanuar; Dodi Devianto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.400

Abstract

The purposes of this study are to estimate the scale parameter  of invers Rayleigh distribution under MLE, Bayesian Generalized square error loss function (SELF), and Bayesian LINEX loss function . The posterior distribution is considered to use two types of prior, namely Jeffrey’s prior and exponential distribution. The proposed methods are then employed in the real data. Several criteria AIC, AICc, and BIC for the selection model are considered in order to identify the method which results in a suitable value of parameter estimated. This study found that Bayesian Generalized SELF at first polynomial  and Bayesian LINEX loss function under exponential distribution  yielded better estimation values than MLE based on AIC, AICc, and BIC
MODEL VOLATILITAS SAHAM LQ45 DENGAN PENDEKATAN MARKOV-SWITCHING GARCH Ermanely Ermanely; Dodi Devianto; Ferra Yanuar
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.402

Abstract

Financial markets have an important role in the economy of a country including Indonesia. One of the activities chosen by investors in the financial market is investing. In the world of investment, especially in stocks, there is a phenomenon of volatility, which is a situation where a stock price value increases and decreases. Volatility in this financial market is something that is very interesting for investors because of its impact on the existence of global financial markets. The purpose of this study is to model the LQ45 index data using a model that can overcome the problem of heteroscedasticity and changes in data structure. The commonly used model for heteroscedasticity problem is ARCH/GARCH. Furthermore, a model that can account for structural changes is the Markov Switching model. The model that can overcome the problem of heteroscedasticity as well as structural changes is the MS GARCH model. The financial data used in this study are daily data for the LQ45 Index from 10 June 2019 to 28 May 2020. Based on the results of data analysis conducted using the MS GARCH model is the best model in modelling the volatility of the LQ45 index. The best model selection uses the criteria for the AIC and BIC values with the smallest value
PENGELOMPOKKAN KABUPATEN/KOTA DI INDONESIA BERDASARKAN MASALAH GIZI BALITA DENGAN MENGGUNAKAN METODE TWO STEP CLUSTER DAN ENSEMBLE CLUSTERING Cichi Chelchillya Candra; Ferra Yanuar; Dodi Devianto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.413

Abstract

The purpose of this study was to group districts/cities in Indonesia based on toddler nutrition problems.. The research method used in this research is Two Step Cluster, Fuzzy C-Means and K-Modes method. In the Two Step Cluster method, there are two stages carried out, namely Pre-Clustering and Case of Clustering. In the Ensemble K-modes method, there are two methods, namely Fuzzy C-Means and K-Modes. The data used in this study are secondary data in the form of data on under-five nutrition problems in Indonesia in 2022. After analysis, the grouping results obtained using the Two Step Cluster method consist of 2 clusters, while the Ensemble K-modes method produces 5 clusters
Pengklasteran Kabupaten/Kota di Indonesia Berdasarkan Masalah Gizi Balita Dengan Menggunakan Metode Two Step Cluster dan Ensemble K-Modes Cichi Chelchillya Candra; Ferra Yanuar; Dodi Devianto
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v7i10.13108

Abstract

Pemerintah selalu berupaya untuk mengurangi prevalensi masalah gizi yang terjadi pada anak melalui berbagai program kesehatan. Namun karena berbagai masalah gizi tersebut memiliki penanganan yang berbeda, maka pemerintah suatu daerah perlu mengetahui masalah gizi anak apa yang dominan ditemui di daerahnya sehingga program yang akan dijalankan tepat. Tujuan dari penelitian ini adalah mengklasterkan kabupaten/kota di Indonesia berdasarkan masalah gizi balita dengan menggunakan metode Two Step Cluster dan Ensemble K-Modes serta mendeskripsikan karakteristik masalah gizi pada masing-masing klaster akhir yang terbentuk. Objek yang diamati pada penelitian ini terdiri dari 492 kabupaten/kota di Indonesia. Data yang digunakan yaitu data masalah gizi balita di semua kabupaten/kota di Indonesia. Hasil penelitian ini yaitu pengklasteran kabupaten/kota di Indonesia berdasarkan masalah gizi balita menggunakan metode two step cluster dan ensemble k-modes menghasilkan klaster yang berbeda. Metode ensemble k-modes lebih baik dalam mengklasterkan data gizi balita daripada metode two step cluster. Hal ini dapat dilihat dari nilai keragaman pengklasteran yang lebih kecil, yaitu 0,569015. Karakteristik klaster 1 menunjukkan bahwa sebagian besar kabupaten/kota dalam klaster ini terletak di wilayah Indonesia bagian barat, dengan total 229 kabupaten/kota.
Pemodelan Gizi Buruk Balita Di Indonesia Dengan Model Robust Spasial Autoregresif Tasya Abrari; Ferra Yanuar; Dodi Devianto
Jurnal Sains Matematika dan Statistika Vol 9, No 2 (2023): JSMS Juli 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v9i2.23362

Abstract

Gizi buruk merupakan suatu keadaan kekurangan konsumsi zat gizi yang disebabkan oleh rendahnya konsumsi energi protein dalam makanan sehari-hari, ditandai dengan berat dan tinggi badan di bawah rata-rata. Penelitian ini bertujuan untuk menentukan model terbaik pada kasus gizi buruk balita serta melihat faktor-faktor apa saja yang mempengaruhi gizi buruk balita pada provinsi-provinsi di Indonesia. Data yang digunakan adalah data hasil studi status gizi Indonesia oleh Kementerian Kesehatan Republik Indonesia. Untuk mendapatkan model terbaik, diperlukan model regresi spasial dengan mempertimbangkan pengaruh spasial suatu daerah. Metode regresi spasial yang menunjukkan adanya efek spasial pada variabel terikatnya disebut Spatial Autoregressive Model (SAR). Pada kasus tertentu, pengujian efek spasial yang melibatkan data pencilan menyebabkan suatu metode gagal dalam menangani efek spasial tersebut sehingga perlu adanya kombinasi model SAR dengan metode regresi robust yang membentuk Robust Spatial Autoregressive Model (RSAR). Hasil penelitian menunjukkan bahwa variabel persentase asuransi kesehatan dan akses air bersih berpengaruh terhadap gizi buruk balita. RSAR M-estimator mengakomodir keberadaan outlier dalam model regresi spasial, hal ini ditunjukkan dengan penurunan RMSE yang disebabkan oleh perubahan parameter koefisien penduga. Model Robust-SAR merupakan model terbaik karena memiliki nilai RMSE terkecil serta robust terhadap spatial outlier.
Peningkatan Minat dan Kemampuan Santri Pondok Pesantren Al Ashry di Bidang Matematika Melalui Pendekatan Small Group Discussion Izzati Rahmi HG; Admi Nazra; Hazmira Yozza; Ferra Yanuar; Budi Rudianto; Susila Bahri; Narwen Narwen; Maiyastri Maiyastri; Haripamyu Haripamyu; Riri Lestari; Yudiantri Asdi; Efendi Efendi; Dodi Devianto; Zulakmal Zulakmal; Ahmad Iqbal Baqi; Arrival Rince Putri; Radhiatul Husna; Nova Noliza Bakar; Mawanda Almuhayar; Ikhlas Pratama Sandi
Warta Pengabdian Andalas Vol 30 No 4 (2023)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.30.4.715-721.2023

Abstract

Mathematics is a field of study needed in various aspects of life. Accordingly, mathematics should always be considered a compulsory subject at every level of education, including in Islamic Boarding Schools. The fact shows that implementing mathematics learning in several schools needs to run optimally, especially in schools lacking teachers and limited educational facilities and infrastructure, such as The Al Ashry Islamic Boarding School, at the secondary level in Padang. This condition indicates that it is necessary to assist other parties to help students in their mathematics learning process. For this reason, the community service team of The Mathematics and Science Data Department of Andalas University conducted an intensive mathematics tutoring activity for The Al-Asyri Boarding School students. The activity carried out during September-December 2022 combined the lecture and the small group discussion approach. From the evaluation delivered by the students at the end of the activity, it can be concluded that this activity increased students’ interest, motivation, efficacy, and understanding of mathematics subject.
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 Catrin Muharisa Cichi Chelchillya Candra Cichi Chelchillya Candra Cici Saputri Cintya Mukti Des Welyyanti Deva, Athifa Salsabila Devianto, Dodi Dila Mulya Dina Monica DINIE ANEFI HAJARA Efendi Efendi Elfa Rafulta 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 Nurwijayanti 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 .