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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Martabe : Jurnal Pengabdian Kepada Masyarakat Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Rangkiang Mathematics Journal VARIANSI: Journal of Statistics and Its Application on Teaching and Research UNP Journal of Statistics and Data Science Mathematical Journal of Modelling and Forecasting Indonesian Journal of Statistics and Its Applications
Fitri, Fadhilah
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Pengelompokan Wilayah Potensi Kebakaran Hutan dan Lahan di Pulau Sumatera Berdasarkan Titik Panas Menggunakan Metode CLARA Safitri, Melda; Salma, Admi; Amalita, Nonong; Fitri, Fadhilah
UNP Journal of Statistics and Data Science Vol. 2 No. 3 (2024): 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/vol2-iss3/180

Abstract

Sumatera Island is one of the areas with the potential for forest and land fires in Indonesia. Sumatra Island has the largest oil palm plantation in Indonesia. The vast land area of oil palm plantations in Indonesia can increase the risk of fires due to land expansion by burning. In addition, the burning of peatlands in Sumatra can exacerbate the impact of forest and land fires. Forest and land fires on the island of Sumatra that occur every year can cause various negative impacts, indicating the need for countermeasures and prevention efforts to minimize the impact of forest and land fires. Hotspots can be used to detect fires in a region and help with prevention and countermeasures to reduce the impact of land and forest fires. Clustering the hotspot data allows one to obtain information on the presence of a fire in a given area as well as its potential status high, medium, or low. The clustering method used is the CLARA method. The CLARA method is a clustering method that breaks the dataset into groups. The advantages of the CLARA method are robust to outliers and effective for large data sets. The results of this research show that the CLARA method can be used for hotspot clustering with a silhouette coefficient of 0.53 in the use of 2 clusters. The analysis of the clustering results shows that cluster 1 is a cluster with low fire potential while cluster 2 is a cluster with high fire potential.
Vector Error Correction Model to Analyze the Impact of Exchange Rates and Money Supply on Inflation in Indonesia Faulina; Fitri, Fadhilah; Amalita, Nonong; Salma, Admi
UNP Journal of Statistics and Data Science Vol. 2 No. 3 (2024): 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/vol2-iss3/188

Abstract

This study analyzes inflation in Indonesia in relation to the influence of exchange rates and the money supply (M2), which pose challenges in controlling inflation amidst rapid economic growth. Data from the Ministry of Trade of the Republic of Indonesia (Kemendag) were used to investigate the relationship between exchange rates and the money supply (M2) on inflation using the Vector Error Correction Model (VECM). The results indicate that in the short term, inflation tends to decrease towards stability, with a strong exchange rate capable of reducing inflation, while an increase in the money supply slightly raises inflation. However, in the long term, inflation demonstrates a strong self-correction mechanism, with the influence of exchange rates and the money supply becoming limited. This model proves effective in forecasting inflation for the period from March to August 2024, with a Mean Absolute Percentage Error (MAPE) of 19.59%.
Peramalan Suhu Rata – Rata Kota Padang Panjang dengan Membandingkan Metode SARIMA dan Holt – Winter Additive Putri, Fadhira Vitasha; Ikhsan, Easbi; Fitri, Fadhilah
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 6 No. 03 (2024)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm237

Abstract

Padang Panjang City, situated at an altitude of 650 to 850 meters above sea level and surrounded by high mountains, experiences significant temperature changes that affect various aspects of life such as public health, agriculture, and tourism. This study aims to forecast the monthly average temperature of Padang Panjang City from January 2017 to December 2023 by comparing SARIMA and Holt-Winters Additive forecasting methods. The results show that the SARIMA method, with an MSD value of 0.2206, is more accurate compared to the Holt-Winters Additive method, which has an MSD value of 0.29821. With the SARIMA model as the best method, the forecast indicates that the highest average temperature in Padang Panjang City will reach 23.1418 degrees Celsius in May 2024. These results are expected to provide a strong basis for planning and decision-making related to the temperature changes occurring in Padang Panjang City.
PENINGKATAN KEMAMPUAN GURU DALAM VISUALISASI DATA UNTUK PENELITIAN TINDAKAN KELAS MELALUI PELATIHAN MICROSOFT EXCEL DAN QUIZIZZ Prima Sari, Devni; Fitri, Fadhilah; Meutia Rani, Maulani
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 1 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i1.286-294

Abstract

Pelatihan bertujuan untuk meningkatkan keterampilan guru dalam menganalisis dan memvisualisasikan data, mendukung pengambilan keputusan berbasis bukti di kelas. Fokus pelatihan ini adalah penggunaan alat analisis data, seperti Microsoft Excel dan Quizizz, yang membantu guru memahami dan menyajikan data secara efektif. Hasil pelatihan menunjukkan peningkatan signifikan dalam keterampilan visualisasi data peserta, di mana guru-guru lebih mampu mengaplikasikan fitur grafik dan diagram untuk menampilkan hasil pembelajaran secara jelas dan menarik. Dengan peningkatan ini, guru-guru menjadi lebih siap dalam merencanakan dan melaksanakan Penelitian Tindakan Kelas (PTK), yang memungkinkan mereka menghasilkan solusi berbasis bukti untuk meningkatkan efektivitas pembelajaran. Pelatihan ini diharapkan dapat memperkuat peran guru sebagai agen perubahan dalam pendidikan, mendorong peningkatan kualitas pendidikan di sekolah dan masyarakat secara keseluruhan.
PELATIHAN PINJAMAN ONLINE: KENALI YANG LEGAL DAN ILEGAL, HINDARI JEBAKAN Prima Sari, Devni; Fitri, Fadhilah; Fitria, Yuki
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 1 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i1.279-285

Abstract

Meningkatnya penggunaan pinjaman online di masyarakat, terutama di kalangan pelajar dan pendidik, menimbulkan masalah baru dalam literasi keuangan. Kegagalan untuk memahami perbedaan antara pinjaman online yang legal dan ilegal, beserta risiko-risiko yang menyertainya, membuat banyak orang rentan terjebak dalam utang yang berbahaya. Di SMAN 3 Padang Panjang, instruksi khusus diberikan mengenai dimensi hukum pinjaman online. Program ini mencakup peserta tentang perbedaan antara pinjaman yang legal dan melanggar hukum, strategi untuk menghindari jebakan utang, dan kriteria untuk memilih pinjaman yang sesuai. Hasil penilaian menunjukkan adanya peningkatan pemahaman peserta terhadap dimensi hukum pinjaman online, yang diharapkan dapat meningkatkan literasi keuangan dan memfasilitasi penilaian keuangan yang lebih bijaksana di masa depan.
Application of Principal Component Analysis in Identifying Factors Affecting the Human Development Index Faisal, Muhammad; Fitri, Fadhilah; Zilrahmi
Mathematical Journal of Modelling and Forecasting Vol. 2 No. 2 (2024): December 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v2i2.26

Abstract

This study examines the Human Development Index (HDI) in West Sumatra Province in 2023. The HDI is an essential indicator for measuring the success of efforts to improve the quality of human life. This research aims to identify the key factors that influence the HDI. The HDI is constructed from three fundamental dimensions that indicate human quality of life: health, education, and economy. The factors within each dimension tend to be strongly correlated, as they mutually influence one another, potentially leading to multicollinearity issues. Therefore, an analysis is conducted to reduce the number of original variables into new orthogonal variables while preserving the total variance of the original variables using Principal Component Analysis (PCA). Based on this background, the study applies PCA to address multicollinearity and to identify new, more representative variables. The study findings indicate that the factors influencing the HDI are the education and economic and health welfare indexes.
Application of the K-Means Clustering Algorithm to the Case of Stunting Risk Families in Districts/Cities of West Sumatra Province in 2023 Widiyanti; Fitri, Fadhilah
Mathematical Journal of Modelling and Forecasting Vol. 2 No. 2 (2024): December 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v2i2.29

Abstract

Stunting is one of the indicators of chronic nutritional status that has a long-term effect on child growth; the main contributing factors are households that do not have access to clean drinking water, proper sanitation facilities, and other factors. The adverse effects experienced by stunted children are reduced cognitive ability, learning ability, decreased endurance, and can lead to new diseases such as diabetes, heart disease, and many other diseases. This study uses the K-Means Cluster method to group the Regency / City of West Sumatra Province in 2023 regarding cases of stunting risk families. K-Means Cluster analysis is an analysis used to group data based on similar features or characteristics. From the results of the study, it can be concluded that the clustering of 19 regencies/cities in West Sumatra Province resulted in 2 groups (clusters): cluster 1 consists of 12 regency/city members, and cluster 2 consists of 7 regency/city members. The characteristic results obtained from each cluster formed are cluster 2 shows families with better conditions than cluster 1.
Peramalan Harga Bawang Merah di Kota Padang Menggunakan Metode SARIMA Larissa, Dwika; Fitri, Fadhilah; Dina Fitria
UNP Journal of Statistics and Data Science Vol. 3 No. 1 (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-iss1/330

Abstract

The fluctuation of shallot prices in Padang City has become a major concern for consumers, producers, and the government. This study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) method to forecast shallot prices from January 2020 to August 2024, using monthly time-series data. The analysis identifies ARIMA(1,1,2)(0,1,1)12 as the optimal model for predicting shallot prices in Padang City, effectively capturing seasonal and non-seasonal patterns. Predictions for the period from September 2024 to August 2025 indicate a price increase trend, peaking in May 2025 before declining. The findings are expected to serve as a reference for planning production, distribution, and price control of shallots.
PERBANDINGAN METODE DOUBLE MOVING AVERAGE DAN DOUBLE EXPONENTIAL SMOOTHING (BROWN) TERHADAP TINGKAT PENGANGGURAN TERBUKA DI KOTA PADANG PANJANG Fishuri, Nufhika; Ikhsan, Easbi; Fitri, Fadhilah; Permana, Dony
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): 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.v6i1.945

Abstract

Unemployment occurs because of a mismatch between the demand for jobs and job seekers' qualifications. Many job vacancies require diploma or degree graduates, so unemployment is one of the problems faced by Padang Panjang City. To overcome TPT in Padang Panjang City, one of them needs to do forecasting to see how the TPT rate will occur in the coming year. This research uses a forecasting method by comparing the Double Moving Average (DMA) and Double Exponential Smoothing (DES) forecasting values of the unemployment rate in Padang Panjang City from 2006 to 2023. This forecasting is done to provide insight into the condition of the workforce in Padang Panjang City in the future. The forecasting results show that in 2024, there will be an increase of 0.42%, and for the next 2 years, there will be a decrease.
Enhancing Technology-Based Learning through Wordwall Application: A Case Study at SMAN 1 Ampek Angkek Mukhti, Tessy Octavia; Fitri, Fadhilah; Sari, Widia Kemala
Pelita Eksakta Vol 8 No 01 (2025): Pelita Eksakta, Vol. 8, No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol8-iss01/260

Abstract

The explosive growth of technology necessitates educators staying current with the latest innovations, especially for technology-based learning in the sciences. However, at SMA Negeri 1 Ampek Angkek, it was discovered that several teachers have varying levels of technological proficiency, face resource constraints, and struggle to develop interactive learning materials. As a result, students often lose interest in learning. To solve this problem, a training session on using the Wordwall application, a web-based educational tool that includes interactive tools like puzzles, flashcards, and quizzes, was held. The workshop aimed to help teachers create more interactive and interesting teaching methods, as well as improve their ability to use educational technology. As a result, the training session improved the quality of teaching at SMA Negeri 1 Ampek Angkek, making the classroom atmosphere more dynamic and interesting for students.
Co-Authors Almuhayar, Mawanda Dina Fitria Dina Fitria, Dina Dodi Vionanda Faulina Fishuri, Nufhika Ikhsan, Easbi Inna Auliya Ketrin, Melin Wanike Larissa, Dwika Maulani Meutia Rani Muhammad Faisal Mukhti, Tessy Octavia Nonong Amalita Permana, Dony Prima Sari, Devni Putri, Eno Dwi Putri, Fadhira Vitasha Rahmadina Adityana Rizki Akbar Safitri, Melda Salma, Admi Sari, Widia Kemala Syafriandi Syafriandi Tessy Octavia Mukhti Widiyanti Yenni Kurniawati Yuki Fitria Zamahsary Martha Zilrahmi, Zilrahmi