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All Journal Media Statistika Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Journal of Natural Science and Integration Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL EKSAKTA PENDIDIKAN (JEP) Eksakta : Berkala Ilmiah Bidang MIPA Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Leibniz: Jurnal Matematika Journal of Mathematics UNP Entalpi Pendidikan Kimia UNP Journal of Statistics and Data Science Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Journal of The Indonesian Society of Integrated Chemistry
Yenni Kurniawati
Jurusan Matematika, FMIPA Universitas Negeri Padang
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 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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Perbandingan Regresi Ridge dan LASSO dalam Pemilihan Variabel dan Prediksi Keluarga Berisiko Stunting di Sumatera Barat Nofriadi, Berliana; Syafriandi, Syafriandi; Kurniawati, Yenni
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.26124

Abstract

Vector Autoregressive Exogenous Modelling to Forecast Rice Prices Based on Inflation and Rice Production in West Sumatra Province Khairisa Putri, Nadya; Kurniawati, Yenni; Vionanda, Dodi; Martha, Zamahsary
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 14 No 1 (2026): VOLUME 14 No 1, 2026
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v14i1.66522

Abstract

Rice prices in West Sumatra Province tend to be high despite high production levels, making forecasting essential to support food security. This study aims to forecast rice prices in traditional and modern markets using a Vector Autoregressive with Exogenous Variables (VARX) model, incorporating inflation and rice production as exogenous variables. The data used consists of monthly secondary data covering the period from January 2019 to December 2024, sourced from PIHPS and the West Sumatra Provincial Statistics Agency. The analysis includes the Augmented Dickey-Fuller stationarity test, determination of the optimal lag based on the Akaike Information Criterion, parameter estimation using Ordinary Least Squares, as well as tests of stability, parameter significance, and residual diagnostics. Forecast performance is evaluated using the Mean Absolute Percentage Error (MAPE). The results show that the VARX (3,3) model is the best, with an MAPE of 1.95\% for traditional markets and 1.56\% for modern markets, indicating very high forecasting accuracy. This study demonstrates that incorporating external factors into the VARX model improves rice price forecasting accuracy, providing a basis for the government to formulate policies to maintain food price stability in West Sumatra Province.
Analisis Pemilihan Model Regresi Konversi Metanol Berdasarkan Suhu, Waktu Tinggal, Konsentrasi, Rasio Oksigen, dan Sistem Reaktor Andre Marvero; Fahmi Amri; Muhammad Fadhil Irsyad; Yenni Kurniawati
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-iss1/339

Abstract

This study aims to determine the best regression model that explains the effect of temperature, residence time, methanol concentration, oxygen to methanol ratio, and reactor system on methanol conversion in supercritical water. Preliminary analysis showed a violation of the multicollinearity assumption, which affected the validity of the multiple linear regression model. To overcome this and determine the optimal model, variable selection was performed using the stepwise selection method. This method was evaluated based on predictive power, model accuracy and statistical validity. The results showed that the stepwise method produced an optimal model in predicting conversion. Reactor system and temperature were the most significant variables affecting methanol conversion. The conclusion of this study shows that the variable selection approach with stepwise selection can be effectively used to identify the best regression model, when classical assumptions are met. These findings make an important contribution to the optimization of supercritical water-based chemical processes.
Analysis of Students' Creative Thinking Using the Project-Based Learning Model in Colloids Nurfatmasari, Nova; Fitriah, Dewi Lailatul; Yusbarina, Yusbarina; Kurniawati, Yenni; Fatisa, Yuni
Journal of The Indonesian Society of Integrated Chemistry Vol. 18 No. 1 (2026): Journal of The Indonesian Society of Integrated Chemistry
Publisher : Pendidikan Kimia FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jisic.v18i1.50886

Abstract

This study aims to describe the profile of students’ creative thinking skills following the implementation of the Project-Based Learning (PjBL) model on the topic of colloids. The research employed a descriptive method with a one-shot case study design. The participants were 33 eleventh-grade students from 11th Grade MIPA 4 at State Senior High School 1 Pekanbaru. Data were collected using validated essay test instruments and structured observation sheets. The results indicated that students’ creative thinking skills based on the essay test reached 56.18% (moderate category), while the observation results during the learning process reached 77.17% (good category). An analysis of the creative thinking indicators revealed that the fluency aspect achieved 71.21%, originality 52.62%, elaboration 48.47%, and flexibility 45.85%. A similar pattern was observed in the observation data, where fluency obtained the highest score, followed by originality and elaboration. However, the flexibility aspect remains in the lowest category compared to the other indicators, both in the essay test and observation results. These findings imply that although the PjBL model effectively stimulates idea fluency and originality, more targeted instructional interventions are needed to enhance students’ cognitive flexibility in solving complex chemistry problems
Augmented Reality Media Versus Molymod Media: Comparative Study on Students Spatial Ability in Chemical Bonding Yenni Kurniawati; Handayani Wulandari; Faruku Aliyu
Jurnal Pendidikan Sains Indonesia Vol 13, No 4 (2025): OCTOBER 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpsi.v13i4.48459

Abstract

Spatial ability is a fundamental cognitive skill in chemistry education, particularly in facilitating the visualization of abstract molecular structures, geometric shapes, and spatial relationships among atoms. This research aimed at comparing the uses of augmented reality (AR) media and molymod demonstration media in supporting student spatial ability on chemical bond lesson at the tenth grade of Islamic Integrated Senior High School of Al-Fityah Pekanbaru. Comparative method was used with quantitative approach and pretest-posttest group design in the experimental group I use AR media and the experimental group II use molymod media. Measuring spatial ability was carried out through spatial ability test questions including spatial ability indicators. The research findings showed that the score of significance (2-tailed) was 0.016 lower than 0.05, so there was a significant difference between the experimental groups. In addition, the mean percentage of N-gain score of spatial ability in the AR group was 44% which was in less effective category, and the score of the molymod group was 59.94% which was in quite effective category
Using Statistical Software in Analyzing Educational Data: A Community Service to Mathematics Teacher’s in 50 Kota Regency Nonong Amalita; Yenni Kurniawati; Dina Fitria
Pelita Eksakta Vol 1 No 2 (2018): Pelita Eksakta Vol. 1 No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol1-iss02/34

Abstract

Analyzing data using statistical software is an interesting work. Many teachers in 50 Kota regency lack of it. Given a workshop on data analysis using statistical software. There is increasing ability of teachers in analyzing data using simple statistical software. They are able to organize their data on education, i.e result of exam
Perbandingan Regresi Ridge dan LASSO dalam Pemilihan Variabel dan Prediksi Keluarga Berisiko Stunting di Sumatera Barat Nofriadi, Berliana; Syafriandi, Syafriandi; Kurniawati, Yenni
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.26124

Abstract

Regresi Elastic-Net dalam Analisis Faktor-Faktor yang Memengaruhi Kemiskinan di Indonesia Imran, Musthafa; Kurniawati, Yenni
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 2 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i2.27024

Abstract

Penelitian ini bertujuan untuk menerapkan metode regresi penalized dengan pendekatan Elastic-Net dalam menganalisis faktor-faktor yang memengaruhi tingkat kemiskinan di Indonesia, mengidentifikasi variabel social ekonomi yang berpengaruh melalui mekanisme seleksi berbasis penalti, serta mengevaluasi kestabilan dan performa model dibandingkan regresi linier klasik. Data yang digunakan berupa data sekunder timer series tahunan periode 2015-2023 yang bersumber dari World Bank Open Data, dengan 13 variabel prediktor makroekonomi dan satu variabel respon, yaitu persentase penduduk miskin. Estimasi parameter dilakukan menggunakan Elastic-Net dengan penentuan parameter optimal melalui K-Fold Cross Validation. Hasil penelitian menunjukkan bahwa dari 13 variabel prediktor, hanya GDP per kapita dan Gini Index yang teridentifikasi berpengaruh terhadap tingkat kemiskinan. GDP per kapita berpengaruh negative, sedangkan Gini Index berpengaruh positif. Model diperoleh memiliki performa cukup baik dengan nilai R2 = 0,4244 dan MAE sebesar 0,4274. Hasil ini menunjukkan bahwa Elastic-Net efektif digunakan pada data dengan potensi multikolinieritas dan jumlah observsi terbatas, serta relevan sebagai pendekatan alternatif dalam analisis kemiskinan berbasis pemodelan statistika modern.
Efektivitas Media Pembelajaran Kimia Berbasis Android Menggunakan App Inventor untuk Mendukung Hasil Belajar Siswa pada Materi Asam Basa Yenni Kurniawati; Rama Al Azmi Zega; Muhammad Safuan; Iswanda Iswanda
Entalpi Pendidikan Kimia Vol 7 No 2 (2026)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/epk.v7i2.498

Abstract

Android-based learning media requires an effectiveness evaluation to assess the application of materials in schools. This study aims to evaluate the effectiveness of using Android-based Acidbase.apk chemistry learning media on acid and base materials on the learning outcomes of grade XI students at SMA Negeri 2 Bangko, compared to conventional learning methods applied at the school. This study used a Quasi Experiment design with pretest-posttest control group, and purposive sampling technique. Data were collected through student learning outcomes test. Data analysis was conducted with t-test and N-gain test. The calculation results show the tcount value (0.762) < ttable (1.995) and the significance value of 0.448 > α (0.05), so Ho is accepted and Ha is rejected. Based on the N-gain test, Android learning media is included in the low criteria with a normalised gain index of 0.28, while conventional learning is in the medium criteria with a normalised gain index of 0.44. Thus, the increase in learning outcomes using Android-based learning media is lower than the conventional method. In conclusion, computer-based applications or Android are not always effective in supporting learning outcomes. It is necessary to enrich the material on Android-based media, equipped with examples and questions, to help improve student learning outcomes to be more optimal.
REKONSTRUKSI ISLAMISASI ILMU MODEL ISMAIL RAJI AL-FARUQI Rizieq, Muhammad Faizal; Amril M; Yenni Kurniawati
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 Nomor 02, Juni 2026 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.53230

Abstract

This article aims to examine and reconstruct the concept of Islamization of knowledge proposed by Ismail Raji Al-Faruqi in response to the dominance of Western epistemology in the modern academic world. This study employs a literature review method with a descriptive-analytical approach based on various relevant sources. The findings indicate that Al-Faruqi’s concept of Islamization of knowledge is grounded in the principle of tawhid, which emphasizes the unity of knowledge, unity of life, and unity of history, while rejecting the dichotomy between religious and secular sciences. The integration of naqli (revealed knowledge) and aqli (rational knowledge) becomes the core foundation in constructing a comprehensive Islamic scientific paradigm. However, the implementation of this concept faces significant challenges, particularly due to the strong influence of secular paradigms within modern educational systems. Furthermore, critiques from Ziauddin Sardar highlight that Islamization of knowledge should not merely involve adapting modern sciences, but must begin with the development of an independent Islamic epistemology. Therefore, a reconstruction of Al-Faruqi’s thought is necessary, directing it toward the development of an integrative, contextual Islamic science that is relevant to contemporary needs. This study concludes that the Islamization of knowledge is a strategic effort to rebuild Islamic civilization based on the values of tawhid, while remaining responsive to the dynamics of modern scientific development.
Co-Authors Afifa Lufti Insani AL Rezki Ivansyah Amelia Susrifalah Amril M Anang Kurnia Andre Marvero Anggi Adrian Danis Anjelisni, Nining Annisa Rizki Amalia Arnellis Arnellis Atus Amadi Putra Aulia, Yuke Aurumnisva Faturrahmi Cindy Caterine Yolanda Deska Warita Dewi Murni dhea afrila harelvi Dina Fitria Dina Fitria Dina Fitria, Dina Disti Harlin Dodi Vionanda Dony Permana Dwi Sulistiowati, Dwi Elfiani Sarian Bur Elfin Innaka Hamidah Elza Vinora Fadhilah Fitri Fahmi Amri Faruku Aliyu Fashihullisan Fayyadh Ghaly Fayza Annisa Febrianti Febi Febiola Putri Fitri, Fadhilah Fitriah, Dewi Lailatul Hadiyanti Riskha Handayani Wulandari Hary Merdeka Helma Helma Helma Helma Ihsan Dermawan Imran, Musthafa Irwan Irwan Iswanda Iswanda Khairani, Putri Rahmatun Khairisa Putri, Nadya Kusman Sadik Lutfian Almash M Fathoni Arnas Manja Danova Putri Meira Parma Dewi Minora Longgom Nasution Muhammad Fadhil Aditya Aditya Muhammad Fadhil Irsyad Muhammad Safuan NA Mentacem Nofriadi, Berliana Nonong Amalita Nurfatmasari, Nova Oktaviani, Bernadita Permana, Dony Prida Nova Sari rahmad revi fadillah Rama Al Azmi Zega Rizieq, Muhammad Faizal Salma, Admi Siskha Maulana Basrul Syafriandi Syafriandi Syafriandi Syafriandi Tessy Octavia Mukhti Tessy Octavia Mukhti Wimmi Sartika Windi Dwi Saputra Yuni Fatisa Yunistika Ilanda Yusbarina, Yusbarina Zamahsary Martha Zilrahmi, Zilrahmi