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All Journal Media Statistika Jurnal Pendidikan Sains Jurnal Inovasi Pendidikan Kimia Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal Tadris Kimiya Orbital: Jurnal Pendidikan Kimia Journal of Natural Science and Integration Tarbawi : Jurnal Pendidikan Islam JURNAL EKSAKTA PENDIDIKAN (JEP) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Pembelajaran Sains Pelita Eksakta Journal of Educational Chemistry (JEC) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Leibniz: Jurnal Matematika BIOCHEPHY: Journal of Science Education Indo-MathEdu Intellectuals Journal Journal of Mathematics UNP Arfak Chem: Chemistry Education Journal Jurnal Pendidikan, Sains dan Teknologi UNESA Journal of Chemical Education UNP Journal of Statistics and Data Science Journal of Chemistry Education and Integration Jurnal Akademika Kimia Indonesian Journal of Statistics and Its Applications Jurnal Inovasi Pendidikan Kimia JES-TM Social and Community Service
Yenni Kurniawati
Jurusan Matematika, FMIPA Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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Application of K-Modes Clustering Method to Identify Low Birth Weight Factors in Central Sulawesi Province Aprotama, Celsy; Yenni Kurniawati; Muhammad Arief Rivano; Devi Yopita Sipayung
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-iss2/357

Abstract

Low birth weight (LBW) has long-term effects on maternal and child health, with a high prevalence in Central Sulawesi Province. This study aims to identify factors influencing the occurrence of LBW in the region using the k-modes clustering method. The data used in this research is derived from the 2017 Indonesian Demographic and Health Survey. The analyzed variables include the husband's education level, miscarriage rate, maternal smoking habits, child's gender, husband's occupation, type of residence, and wealth index. The analysis revealed two distinct clusters. The first cluster mainly consisted of husbands with a secondary education level or equivalent to junior high school, working in the agricultural sector, residing in urban areas, and having a medium wealth index. In contrast, the second cluster was dominated by husbands with only primary education or equivalent to elementary school, living in rural areas, and having a very low wealth index. The findings of this study emphasize the need for comprehensive efforts to improve education, enhance environmental conditions, and expand healthcare access to reduce poverty and lower the incidence of LBW in Central Sulawesi. This research also contributes to initiatives aimed at improving maternal and child health in the region.
Logit And Complementary Log-Log Modeling (Case Study: Factors Influencing Birth Control Use in Papua 2017) Sasmita, Riza; Yenni Kurniawati; Sri Wahyuni; Celsy Aprotama
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-iss2/358

Abstract

Research was conducted to determine the factors that influence the use of family planning in Papua Province in 2017. Indonesia has the 4th largest total population in the world, facing the challenge of a fairly high and uncontrolled population growth rate, which can have an impact on the welfare of the community, especially Papua Province. This study used secondary data from the 2017 SDKI. The population of this study was all women of childbearing age in the province of Papua. The research was conducted using logit logistic regression and cloglog logistic regression methods and took the best model to analyze the factors affecting family planning use in Papua Province. The results showed that the cloglog logistic regression model proved to be the best model based on AIC and accuracy. The accuracy of this cloglog logistic regression model is 78.54%. With the results of the cloglog logistic regression analysis, it was found that there was a relationship between region of residence, husband's education, and wife's education. The odds of a woman who has a husband with more than a junior high school education having an unmet need for family planning is 1.688 times higher than a woman who has a husband with less than a junior high school education. The odds of a woman with a junior high school education or above having an unmet need for family planning is 0.496 times higher than a woman with less than a junior high school education.
An Application X-bar Chart and Statistical Process Control With R Package Rizkiah, Niswatul; Yenni Kurniawati
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-iss2/363

Abstract

Quality control is a critical aspect of ensuring that production processes meet established standards and customer requirements. One widely used approach in Statistical Quality Control (SQC) is the control chart, particularly the X̄ and s charts, which monitor process stability based on the mean and variability of the data. This study aims to evaluate the quality and variation of the feed water boiler process using X̄ and s control charts, as well as to assess process capability with the aid of the R programming language and the qcc package. The dataset comprises hardness measurements of water collected over 25 consecutive days, three times per day, resulting in 75 observations. Initial analysis revealed one data point outside the control limit in the X̄ chart, which, when excluded, improved overall process stability. The s chart indicated more consistent stability compared to the X̄ chart. Process capability analysis yielded Cp and Cpk values of 0.5844 and 0.5600, respectively, indicating that the process is not yet capable of fully meeting product specifications and exhibits relatively high variability.These findings highlight the need for process improvement through variation reduction and six sigma approaches.The use of R/qcc proved to be an effective tool for monitoring and analyzing quality control in production processes.
K-Means Cluster Analysis for Grouping Small and Medium Enterprises (SMEs) in Pesisir Selatan Regency arrahmi, nailul; Chairina Wirdiastuti; Yenni Kurniawati
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-iss2/364

Abstract

Small and Medium Industries (SMEs) play an important role in national economic growth through job creation, improving regional economies, and triggering entrepreneurial spirit. Although most SMEs operate on a limited scale with simple technology, this sector has great potential to grow if it receives sustainable support. However, SMEs in Pesisir Selatan Regency face various challenges, such as limited human resources, difficulty in accessing capital, and low utilization of technology. This study aims to analyze the grouping of SMEs in Pesisir Selatan Regency using the clustering method. Using secondary data on six types of SMEs in 15 sub-districts in 2023, this study applies the K-Means algorithm to group SMEs based on the characteristics of the dominant sector. The clustering results produce three main groups: first, sub-districts with high SME activity in the textile and food sectors; second, sub-districts with low SME activity in almost all sectors; and third, sub-districts with balanced SME activity in various sectors, such as apparel, beverages, furniture, and non-metallic minerals. These findings are expected to provide insight for local governments in formulating more targeted policies for the development of SMEs and equitable distribution of economic growth in Pesisir Selatan Regency.
Grouping of Provinces in Indonesia Based on Active Family Planning Participants Using Modern Methods Using Fuzzy C-Means Ramadhani, Annisa; Tessy Octavia Mukhti; Yenni Kurniawati; Zamahsary Martha
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-iss2/365

Abstract

Indonesia’s rapid population growth presents a significant challenge to national welfare and public health. One of the key strategies implemented by the government to address this issue is the Family Planning (FP) program, which emphasizes the use of modern contraceptive methods. However, the utilization of these methods remains uneven across provinces. This study aims to cluster Indonesian provinces based on the number of active participants using modern contraceptive methods in 2023 by applying the Fuzzy C-Means (FCM) clustering algorithm. FCM was selected due to its ability to handle overlapping data characteristics, allowing for a more flexible and representative analysis. The clustering results reveal two main clusters: Cluster 1, which consists of provinces with high levels of active modern contraceptive users, and Cluster 2, which includes provinces with low participation levels. These findings are expected to serve as a reference for more targeted policy formulation to enhance the equity and effectiveness of the FP program across the country.
Penerapan Algoritma Extreme Gradient Boosting dengan ADASYN untuk Klasifikasi Rumah Tangga Penerima Program Keluarga Harapan di Provinsi Sumatera Barat Susrifalah, Amelia; Vionanda, Dodi; Kurniawati, Yenni; Sulistiowati, Dwi
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-iss2/369

Abstract

Program Keluarga Harapan (PKH) is a form of social protection provided by the government to overcome poverty in Indonesia. However, challenges remain in accurately predicting eligible households. Therefore, a data-based classification method is needed to identify PKH recipients based on their factors. This research was conducted in West Sumatra Province using variables from the Data Terpadu Kesejahteraan Sosial (DTKS) variable group contained in SUSENAS 2024. Based on data from Badan Pusat Statistik (BPS) of West Sumatera Province, there are 1.790 PKH recipient households and 9.810 non-recipient households, indicating a class imbalance. Considering the large amount of data and complex variables, PKH can be analyzed using the Extreme Gradient Boosting (XGBoost) algorithm because of its ability to handle large-scale data and produce high classification performance. To address data imbalance, Adaptive Synthetic (ADASYN) was applied before analysis. The application of XGBoost with the scale_pos_weight parameter shows low classification performance, with sensitivity value of 12.3% and balanced accuracy of 55.2%. To overcome this, unbalanced data was handled using the ADASYN method. The application of XGBoost after data balancing with ADASYN showed significant performance improvement, with sensitivity value 80.4% and balanced accuracy 88.1%. In classifying PKH recipient households, the variables that make an important contribution are the age of the head of household, floor area, diploma of the head of household, floor material and number of household Members. This research shows that the combination of XGBoost and ADASYN is effective in overcoming data imbalance and improving PKH recipient classification performance.
Peramalan Total Nilai Ekspor Indonesia Menggunakan Metode Singular Spectrum Analisis Ronald Rinaldo; Yenni Kurniawati; Dony Permana; Dina Fitria
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-iss2/370

Abstract

Forecasting export data presents unique challenges due to seasonal fluctuations and complex global economic dynamics. Inaccurate forecasts may lead to misguided economic policies, particularly in the export sector, which plays a critical role in national economic growth. This study aims to forecast the total export value of two major sectors in Indonesia from January to December 2024 using the Singular Spectrum Analysis (SSA) method. Forecasting is essential in supporting economic policy planning and strategic decision-making. SSA is chosen for its ability to decompose time series data into interpretable components such as trend, seasonality, and noise. The forecasting model's performance is evaluated using the Mean Absolute Percentage Error (MAPE), which provides an intuitive accuracy interpretation in percentage terms. The optimal parameter for SSA was found at L=28L = 28L=28, yielding a MAPE of 16.63%, indicating good forecasting accuracy. The forecasted export values show that the highest export is expected in December 2024 (USD 39,578.67 million), and the lowest in January 2024 (USD 21,689.14 million). These findings suggest that SSA is effective in forecasting economic time series data, particularly Indonesia’s export values. This study contributes to the practical application of SSA in economics and serves as a reference for future research and policymakers in formulating export strategies.
Analysis of Students' Creative Thinking Skills in Learning Hydrocarbons by Using Daily Life-Based Practicum Method Kurniawati, Yenni; Handayani, Laras Dyaz; Ramadani, Dea; Sari, Nurhikmah
Jurnal Pendidikan Sains Vol 13, No 2: June 2025
Publisher : Sekolah Pascasarjana Universitas Negeri Malang (UM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/jps.v13i22025p046

Abstract

Creative thinking skill is a competence of the 21st century that is needed very much and needs to be increased by utilizing chemistry in life. This research aimed at analyzing student creative thinking skills in experimental and control groups and finding out the effect of the daily life-based practical work learning method on student creative thinking skills. This research was conducted in the eleventh grade at High School 1 Pekanbaru on the hydrocarbon lesson. The quasi-experimental method was used in this research with pretest-posttest and non-equivalent control group designs. The instruments used in this research were essay tests, observation, and interviews to find out student creative thinking. The result of data analysis showed differences: the creative thinking skill posttest mean score of the experimental group was 77.1, and the control group was 70. Based on the result of testing the hypothesis by using SPSS, sign. (2-tailed) 0.000 was lower than 0.05, so Ha was accepted and H0 was rejected. The highest difference among creative thinking skill indicators between experimental and control groups was elaboration, and the lowest difference was originality. We expect the results of this study to enhance students' creative thinking skills, given regular training.
PENGEMBANGAN MEDIA INTERAKTIF BERBASIS PENDEKATAN SCIENCE, TECHNOLOGY, RELIGION, ENGINEERING, ART AND MATHEMATICS PADA MATERI IKATAN KIMIA Dewi, Sari Tirta; Yenti, Elvi; Refelita, Fitri; Kurniawati, Yenni
Journal of Chemistry Education and Integration Vol 4, No 1 (2025): Journal of Chemistry Education and Integration
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jcei.v4i1.35890

Abstract

This research was motivated by the lack of learning media using information and communication technology and the creation of student-centred, interactive, and multimedia networking learning patterns in the chemistry learning process. This research aimed at designing and finding out validity and practicality levels of Science, Technology, Religion, Engineering, Art, and Mathematics approach based interactive media with Nearpod developed on Chemical Bond lesson.  Research and Development (R&D) method was used in this research with Design Development Research (DDR) model, and the steps were analysis, design, development, and evaluation.  This research was conducted at State Senior High School 1 Benai.  The instruments of collecting data were interview sheet, validity test questionnaire, practicality test questionnaire, and student response questionnaire.  The validity test results showed that the percentage results were 94.64% by material experts and 90% by media experts with very valid criteria.  The percentage result of teacher practicality test was 91.66% with very practical criteria, and the percentage result of student response test was 94.88% with very interesting criteria, it can therefore be concluded that interactive media using Nearpod based on the science, technology, religion, engineering, art, and mathematics approach in chemical bonding material is worth trying out as additional teaching material in chemistry lessons.
Pemodelan Geographically Weighted Regression pada Kasus Pneumonia di Indonesia Oktaviani, Bernadita; Amalita, Nonong; Kurniawati, Yenni; Martha, Zamahsary
Leibniz: Jurnal Matematika Vol. 5 No. 02 (2025): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v5i02.564

Abstract

Pneumonia adalah penyakit infeksi pernafasan yang menjadi salah satu penyumbang terbesar kasus kematian pada balita dan termasuk dalam  salah satu masalah kesehatan secara global. Kematian balita akibat pneumonia di Indonesia mengalami peningkatan dari 459 kasus pada tahun 2022 menjadi 522 kasus pada  tahun 2023 yang menunjukkan bahwa pneumonia masih menjadi masalah serius bagi kesehatan balita. Geographically Weighted Regression (GWR) adalah metode yang digunakan dalam penelitian ini. Data penelitian ini diperoleh dari publikasi yang diterbitkan oleh Kemenkes RI, yaitu Profil Kesehatan Indonesia 2023. Tujuan penelitian ini untuk mengevaluasi penerapan model GWR dalam memodelkan data spasial dan untuk mengidentifikasi faktor-faktor yang berpengaruh terhadap jumlah kasus pneumonia balita di Indonesia. Hasil analisis menunjukkan bahwa model GWR memberikan hasil yang lebih baik dalam memodelkan jumlah kasus pneumonia pada balita dibandingkan model regresi linier berganda dengan nilai AIC sebesar 15,66953 dan  sebesar 94,66%. Faktor-faktor yang berpengaruh signifikan terhadap jumlah kasus pneumonia pada balita di Indonesia tahun 2023 adalah persentase balita yang mendapat vitamin A, persentase bayi mendapat ASI eksklusif sampai 6 bulan, jumlah puskesmas, persentase bayi yang mendapat imunisasi dasar lengkap, persentase rumah tangga yang memiliki akses terhadap sanitasi layak, persentase penduduk miskin, persentase kejadian gizi buruk pada balita usia 0-59 bulan, dan jumlah bayi berat badan lahir rendah (BBLR).
Co-Authors Abdullah Herman Aditya, Muhammad Fadhil Aditya Admi Salma Afifa Lufti Insani Ahmad, Nur Jahan AL Rezki Ivansyah Alya Aufa, Wafiq Amelia Susrifalah Anang Kurnia Anggara, Rudi Anggi Adrian Danis Anita Fadila Anjelisni, Nining Annisa Ramadhani Aprotama, Celsy Ardhi, Sonia Ardiyatul Putri Arnellis Arnellis arrahmi, nailul Atus Amadi Putra Aulia Wanda Aulia, Yuke Aurumnisva Faturrahmi Berliana Nofriadi Bimbim Oktaviandi Celsy Aprotama Chairina Wirdiastuti Cindy Caterine Yolanda Darwas Deska Warita Devi Yopita Sipayung Dewi Murni Dewi, Sari Tirta Dina Fitria Dina Fitria Dina Fitria, Dina Disti Harlin Diva Diva Aliyah Diyanti, Wafika Rahma Djamaluddin, Safrijal Dodi Vionanda Dony Permana Dwi Sulistiowati, Dwi Elfiani Sarian Bur Elfin Innaka Hamidah Elza Vinora Eujenniatul Jannah Fachri Dermawan Fadhil Irsyad, Muhammad Fadhilah Fitri Fadzliana, Nanda Fahmi Amri, Fahmi Fashihullisan Fatimah Depi Susanty Harahap Fayyadh Ghaly Fayza Annisa Febrianti Febiola Putri, Febi Fitri, Fadhilah Fitri, Fitri Hayati fitri, silfia wisa Fitri, Tessa Zulenia Ghaly, Fayyadh Hadiyanti Riskha Handayani, Laras Dyaz harelvi, dhea afrila Harpidna, Riska Harpidna Hary Merdeka Helma Helma Helma Helma Hendrawan, Muhammad Hendri, Jhon Ihsan Dermawan Irwan Irwan Khairani, Putri Rahmatun Kristi, Elizabeth Kusman Sadik Lina, Ejma Rukma Lutfian Almash M Fathoni Arnas Manja Danova Putri Marvero, Andre Maya Ifra Shobia Meira Parma Dewi Minora Longgom Nasution Muhammad Arief Rivano Mujakir Mujakir Mukhti, Tessy Octavia Mulyani, Suci NA Mentacem Nabillah, Marwana Natasya Dwi Ovalingga, natasyalinggaa Nonong Amalita Nugroho, Handi Wilujeng Oktaviani, Bernadita Permana, Dony permana, yazid Prida Nova Sari Putra, Dio Afdal Putra, Rama Dani Eka Putri Amalia Azzahra Putri Yeni, Dicha Putri, Fadhira Vitasha Putri, Rihani Himtari Rahma, Dzakyyah rahmad revi fadillah Rahmah, Ati Rahmawati, Santri Ramadani, Dea refelita, fitri Revina Rahmadani Riady, AD Risnawati Risnawati Rizki Amalia, Annisa Rizkiah, Niswatul Ronald Rinaldo Rosa Salsabila Azarine Rosya, Aljeneri Safitri, Natasya S. Salma, Admi Salsabilla Khairani Sari, Ceria Purnama Sari, Nurhikmah Sasmita, Riza Sepniza Nasywa Septrina Kiki Arisandi Silvia Triana Siregar, Erlina Azmi Siskha Maulana Basrul Siti Nurhaliza Sondriva, Wilia SRI RAHAYU Sri Wahyuni Suprianingsih, Nelis Susrifalah, Amelia Syafriandi Syafriandi Syafriandi Syafriandi Syahidah, Izzati Tessy Octavia Mukhti Tsani, Nahda Maesya Wimmi Sartika Windi Dwi Saputra Wita, Wita Resfi Ananta yenti, elvi Yunistika Ilanda Zamahsary Martha Zilrahmi, Zilrahmi