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All Journal Statistika Epsilon: Jurnal Matematika Murni dan Terapan Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Geografi Eksakta : Berkala Ilmiah Bidang MIPA Infinity Jurnal Matematika dan Aplikasinya (IJMA) UNP Journal of Statistics and Data Science

Fitri Mudia Sari

Universitas Negeri Padang

Author-ID : 846576

Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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PENERAPAN ANALISIS KONJOIN UNTUK MENENTUKAN PREFERENSI MASYARAKAT KOTA PADANG TERHADAP PENGGUNAAN JASA OJEK ONLINE TAHUN 2019 Suci Wulandari; Fitri Mudia Sari
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 2 (2019): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Transportation services in Indonesia continue to experience developments in the field of technology. This is indicated by the emergence of application-based online transportation. One of the most common types of online transportation is online motorcycle taxi. The number of online motorcycle taxi brands with a variety of products and facilities offered, has caused problems for online motorcycle taxi entrepreneurs.Therefore, a study is needed to find out what are the preferences of consumers in using online motorcycle taxi services. One method that can explain consumer preferences is the conjoined method. The data used is in the form of metric data with rating evaluations on the combination of levels of each attribute. Based on the results of the study, obtained the highest utility value for the price attribute is a special promo price of19.9375, a method of cash payment of 6.8125, friendly driver service at 88.5625, and drivers using uniform at 39.6875. The most preferred combination is a special promo price, cash, friendly, and the driver uses the uniform. While the least preferred combination is the normal price, non-cash, not friendly, and drivers do not use uniforms. Then the most important attribute for the community is the driver service attribute. Keywords: Conjoint Analysis, Online Motorcycle Taxi, Preferences, Rating

ANALISIS TINGKAT KEMISKINAN DI PROVINSI SUMATERA BARAT MELALUI PENDEKATAN REGRESI TERKENDALA (RIDGE REGRESSION, LASSO, DAN ELASTIC NET) Fitri Mudia Sari; Khairil Anwar Notodiputro; Bagus Sartono
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 21, No 1 (2021)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v21i1.7836

Pandemi Covid-19 yang mulai menyerang Indonesia semenjak Maret 2020 menyebabkan krisis ekonomi dan sosial di Indonesia, termasuk Sumatera Barat. Data BPS Sumatera Barat menyebutkan bahwa jumlah penduduk miskin bertambah sebanyak 20.056, dari 344.023 orang pada Maret 2020, menjadi 364.079 pada September 2020. Masalah kemiskinan merujuk pada konsep high dimensional data yang melibatkan banyak peubah sehingga digunakan Regresi Ridge, LASSO, dan Elastic Net yang dapat mengatasi masalah multikolinieritas. Penelitian ini bertujuan untuk melihat peubah yang memiliki pengaruh yang penting terhadap tingkat kemiskinan di Sumatera Barat menggunakan model terbaik yang terpilih dari Regresi Ridge, LASSO, dan Elastic Net. Hasil penelitian menunjukkan bahwa tingkat buta huruf merupakan peubah penting yang mempengaruhi tingkat kemiskinan di Sumatera Barat dengan model terbaik yaitu Regresi Ridge.

Infant Mortality Case: An Application of Negative Binomial Regression in order to Overcome Overdispersion in Poisson Regression Fadhilah Fitri; Fitri Mudia Sari; Nurul Fiskia Gamayanti; Iut Tri Utami
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 22 No. 3 (2021): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Infant mortality is an indicator to determine the degree of public health. Infant mortality is death that occurs in the period from birth to before the age of one. The high rate of infant mortality indicates that the quality of public health services is not optimal. The number of infant deaths is an example of count data that follows a Poisson distribution, so it can be analyzed using Poisson Regression. The assumption that must be met when using this method is the equidispersion or variance of the response variable is equal to mean. However, this condition rarely occurs because usually the counted data has a greater variance than the mean or it is called overdispersion. One way to solve this problem is to use the Negative Binomial Regression method. The data used in this study is the case of infant mortality in the city of Padang. First, we model the data using Poisson Regression, then we check the assumption, if there is overdispersion, we handle it by modeling the data with Negative Binomial Regression. The results showed that the equidispersion assumption could not be met so that the data was modeled with Negative Binomial Regression.

ANALISIS POLA PENYEBARAN PENYAKIT DIARE DI KABUPATEN BOGOR Fitri Mudia Sari
JURNAL GEOGRAFI Vol 5 No 2 (2016)
Publisher : Jurusan Geografi Fakultas Ilmu Sosial Universitas Negeri Padang

Diarrheal disease is an endemic disease in Indonesia, meaning it occurs continuously in all regions both in the city and in the village, especially in poor areas. In poor areas are generally diarrhea diseases are considered not as a dangerous disease, so the way healing is not through medical treatment. In fact, diarrhea can cause system disturbances or complications that are very harmful for the sufferer. Some of them are fluid and electrolyte disturbances, hypovolemia shock, various body disorders, and if not handled properly can cause death. Thus it becomes important for the nurse to know more about diarrhea, the negative impact it has, and the handling and prevention of its complications. The objective of this study was to determine the pattern of diarrheal disease spread in Bogor Regency. The method according to the purpose of this research is Ordinary Kriging. To know the distribution of diarrhea disease in Bogor Regency by looking at the result of countour plot. Based on the countour plot, the area that has the highest number of diarrhea sufferers around Barekah and Bojonggenteng villages is marked with White contour color with the range of diarrhea sufferer is 40 - 42 people. Areas with the highest number of diarrheal diseases indicate that the area has a relationship with the number of diarrheal diseases in the surrounding area. Therefore, the area needs to be prioritized in improving water sanitation, counseling to the community and improving health services.

PEMETAAN KONDISI TUTUPAN TERUMBU KARANG DI KAWASAN MANDEH KABUPATEN PESISIR SELATAN SUMATRA BARAT Hendry Frananda; Deded Chandra; Fitri Mudia Sari
JURNAL GEOGRAFI Vol 8 No 1 (2019)
Publisher : Jurusan Geografi Fakultas Ilmu Sosial Universitas Negeri Padang

KawasanTelukMandeh atau Taman Nasional LautMandehterletakkecamatan Koto XI TarusanKabupatenPesisir Selatan. Kawasan Mandeh memiliki potensi yang beragam terutama adalah potensi wisata bahari seperti wisata pantai, snorkling dan selam (diving). Fungsi terumbu karang dalam berbagai aspek sangat penting, dari aspek fisik, kimia, ekologis, sosial, ekonomi, dan aspek lain.Tujuanpenelitianuntukmelihattingkattutupandankesehatanterumbukarang di KawasanMandeh, danjenis-jenisterumbukarang yang terdapat di kawasanini, selainitukelimpahan biota megabenthosdanikankarangjugadihitungsebagai data pendukungkeseharanterumbukarang. Metode yang digunakandalampengumpulan data adalah LIT (Line Intersept Transect), ditentukan 3 stasiunpengamatandanmasing-masingstasiundiambil data pada 2 kedalaman yang berbedayaitukedalaman 3 meter dan 10 meter.Diketahui tutupan karang hidup pada stasiun I (PulauMarak) sebesar 21,4 %, stasiun II (Kapo-kapo) 24 %, dan stasiun III (PulauSetan) padakedalaman 3 m sebesar 47,13 %. Genus Diadema (Bulu Babi) merupakankelimpahanmegabenthostertinggidan paling banyakditemuipadastasiun II mencapai8500individu/ha, danjenisDrupella/Gastropodapada CB/ACB merupakanjenismegabenthos yang paling sedikitditemuidanhanyaditemuipadastasiun I yaitusebesar 200 individu/ha. Dijumpaiikankarangsebanyak 39 jenis, IkanNeopomacentrusazysronmerupakanjenisikankarang yang memilikikelimpahan yang tertinggidibandingkanjenisikankarang lain yaitusebesar 6094 individu/ha. Kelimpahanjenisikanekonomispenting (target) yang ditemukanpadaketigastasiuntersebut 1267 individu/ha, Kelimpahanjenisikanindikator yang ditemukanpadaketigastasiuntersebut 520 individu/ha. Kondisikualitasperairanmasihtergolongbaikdenganhasilpengamatansebagaiberikutsuhu 30,33 0C, kecerahan 5 m, sanilitas 33,33 0/00, pH 8.

PEMODELAN DATA KEMISKINAN PROVINSI SUMATERA BARAT MENGGUNAKAN REGRESI SPASIAL Pardomuan Robinson Sihombing; Fitri Mudia Sari; Hendry Frananda Nasution
Infinity: Jurnal Matematika dan Aplikasinya Vol. 2 No. 1 (2021): Terbitan Ketiga-Agustus 2021
Publisher : Program Studi Matematika Fakultas Sains Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/27458326-66

Kemiskinan merupakan suatu masalah yang menjadi perhatian di setiap negara. Permasalahan kemiskinan di suatu daerah tidak hanya dipengaruhi oleh faktor-faktor kemiskinan di daerah tersebut, tetapi juga dapat dipengaruhi oleh kemiskinan di daerah lain sehingga kasus kemiskinan dapat dikaji dengan analisis spasial. Model spasial yang dapat digunakan untuk permasalahan ini adalah regresi spasial, diantaranya yaitu model autoregresif spasial dan model galat spasial. Tujuan dari penelitian ini adalah menentukan faktor-faktor yang mempengaruhi kemiskinan di Provinsi Sumatera Barat dengan menggunakan regresi spasial. Hasil penelitian menunjukkan model terbaik adalah model SAR dan faktor-faktor yang mempengaruhi yaitu persentase rumah tangga penduduk dengan sanitasi layak dan persentase penduduk dengan air bersih dan kemiskinan kabupaten/kota di sekitarnya.

PEMODELAN PENYAKIT DIFTERI DI SUMATERA BARAT MENGGUNAKAN REGRESI ZERO INFLATED DAN REGRESI HURDLE Fitri Mudia Sari; Pardomuan Robinson Sihombing
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol. 15(1), 2021
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Data that states the number of events in a certain period of time is called count data. Poisson regression is one of the regression models included in the application of GLM that can be used to model the count data. In Poisson regression, there are assumptions that must be met, namely the mean and variance of the response variables must be the same (equidispersion). Several models that are able to overcome overdispersion due to excess zero are the Zero Inflated model and the Hurdle model. This study examines the characteristics of parameter estimation in the modeling of quantified data that is overdispersed due to excess zero using the Zero Inflated Poisson (ZIP), Zero Inflated Negative Binomial (ZINB), Hurdle Poisson (HP) model and the Hurdle Negative Binomial (HNB) model in cases of diphtheria. in West Sumatra in 2018. Based on individual parameter testing and AIC values, the HP model provides better performance than the ZIP, ZINB, and HNB models. So the Hurdle Poisson model is better used in this case than other models

Mapping Anxiety, Developing Solutions: A Statistical Study of Student Anxiety Using The K-Modes Clustering Method Fadhilah Fitri; Fitri Mudia Sari; Fauziah Taslim; Sri Wahyuni
UNP Journal of Statistics and Data Science Vol. 4 No. 2 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss2/491

Statistics anxiety is a common issue among university students that can negatively affect their learning process and academic performance. This study aims to identify patterns of statistics anxiety among undergraduate students at Universitas Negeri Padang using the Statistics Anxiety Rating Scale (STARS), which consists of six dimensions. A total of 479 valid responses were analyzed using the k-modes clustering method, which is appropriate for categorical data. The optimal number of clusters was determined using the elbow and silhouette methods, resulting in three clusters. The clustering results reveal three distinct groups of students characterized by high, moderate, and low levels of statistics anxiety. The average silhouette value of 0.52 indicates a moderately well-defined cluster structure. Further analysis shows that each cluster exhibits different patterns across the six anxiety dimensions, highlighting the heterogeneity of students’ responses to statistics. These findings suggest that clustering provides a more informative approach than conventional descriptive analysis in understanding statistics anxiety. The results of this study can serve as a basis for developing targeted strategies to reduce student anxiety in statistics learning

Evaluating Local Parameter Reliability in Hierarchical Geographically Weighted Regression: A Bootstrap and Sign Consistency Approach Fitri Mudia Sari; Muhammad Nur Aidi; Agus Mohamad Soleh; Farit Mochamad Afendi
UNP Journal of Statistics and Data Science Vol. 4 No. 2 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss2/492

The Hierarchical Geographically Weighted Regression (HGWR) model is widely used to capture spatial heterogeneity and hierarchical data structures simultaneously. However, the reliability of its local parameter estimates remains a critical issue due to potential variability across locations. This study aims to evaluate the reliability of local parameters in the HGWR model using a bootstrap-based approach combined with sign consistency analysis, using an empirical stunting prevalence dataset in Indonesia. A cluster bootstrap procedure at the provincial level was implemented with 500 replications to generate empirical distributions of parameter estimates, enabling the assessment of statistical significance through confidence intervals. In addition, sign consistency was employed to examine the stability of the direction of local effects across bootstrap replications. The results show that while some local parameters are statistically significant, they do not always exhibit consistent directional effects, indicating potential instability. Conversely, several parameters demonstrate both statistical significance and high sign consistency, suggesting robust local relationships. These findings highlight that relying solely on statistical significance may lead to misleading interpretations of local effects in HGWR models. The combination of bootstrap and sign consistency provides a more comprehensive framework for assessing parameter reliability. This approach contributes to improving the interpretability and robustness of spatial multilevel modeling, particularly in applications involving complex hierarchical and spatial data.

Forecasting Analysis of Total Coconut Production in Padang Pariaman Using the Double Exponential Smoothing Holt Della Amelia; Zilrahmi; Fitri Mudia Sari
UNP Journal of Statistics and Data Science Vol. 3 No. 2 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss2/367

Kelapa merupakan buah khas daerah tropis yang memiliki banyak manfaat. Kelapa memiliki arti penting yang strategis bagi Indonesia. Sumatera Barat merupakan salah satu provinsi penghasil kelapa di Indonesia dengan total produksi sebesar 88 ribu ton pada tahun 2023. Dimana Kabupaten Padang Pariaman merupakan kabupaten penghasil kelapa terbesar di Provinsi Sumatera Barat dengan total produksi sebesar 38.794 ton pada tahun 2022. Kelapa merupakan salah satu komoditas utama dan sumber perekonomian di Kabupaten Padang Pariaman. Melihat pentingnya peranan kelapa di Kabupaten Padang Pariaman, maka perlu dilakukan peramalan produksi kelapa untuk mengetahui kondisi hasil perkebunan tersebut. Double Exponential Smoothing merupakan metode yang sesuai digunakan dalam peramalan jumlah produksi kelapa di Kabupaten Padang Pariaman. Hal ini dikarenakan metode ini sesuai dengan data yang memiliki pola trend. Hasil peramalan menunjukkan bahwa produksi kelapa pada tahun 2024 sampai dengan tahun 2028 adalah sebesar 39.506,16 ton, 39.943,43 ton, 40.380,7 ton, 40.817,97 ton, dan 41.255,24 ton. Dimana hasil tersebut menunjukkan bahwa produksi kelapa mengalami peningkatan setiap tahunnya sekitar 1% dengan nilai MAPE sebesar 16,19% yang menunjukkan bahwa hasil peramalan tersebut termasuk dalam kriteria akurat.

Co-Authors Agus Mohamad Soleh Bagus Sartono Chairini Wirdiastuti Deded Chandra Dina Fitria Dini Andita Putri Fadhilah Fitri Fadhilah Fitri Farit Mochamad Afendi Fauziah Taslim Hendry Frananda, Hendry Iut Triutami Muhammad Nur Aidi Nurul Fiskia Gamayanti Nurwijayanti Pardomuan Robinson Sihombing Sri Wahyuni Suci Wulandari Vinna Sulvia Zilrahmi, Zilrahmi

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