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All Journal Zeta - Math Journal Jurnal Varian Inferensi Jurnal Pendidikan Matematika Unpatti Jurnal Sistem Informasi Mahakarya (JSIM) Realita: Jurnal Penelitian dan Kebudayaan Islam Journal Focus Action of Research Mathematic (Factor M) JEAS Journal of Mathematics, Computation and Statistics (JMATHCOS) Proceeding International Conference on Education Jurnal Aplikasi Sains Data
Ardiana Fatma Dewi
Institut Agama Islam Negeri (IAIN) Kediri
Religion Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Using Photomath Applications on Student Learning Outcomes in Advanced Calculus Courses Dewi, Ardiana Fatma; Ahadiyah, Kurnia
Proceeding International Conference on Education Volume 01, Agustus Tahun 2023: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

Along with the development of the times, the world of education is much influenced by advances, especially in the field of information and communication technology. Many educators use technology as a learning medium to help students learn and solve problems, especially math problems. There are several applications that students use to help them complete lecturer assignments. Photomath is one of the applications used by students in mathematics lessons. This application can be accessed via a smartphone and has features that help students solve math problems. This study aims to determine the effect of using the Photomath application on the learning outcomes of Tadris Mathematics students in semester 4 of the State Islamic Institute (IAIN) Kediri. The number of samples used in this study were 45 students, which were divided into two groups. The experimental group consisted of 24 students and the control group consisted of 21 students. The analysis used in this study is a t-test to compare whether there are differences in student learning outcomes in advanced calculus courses when solving problems using the Photomath application and not using these tools. The results obtained show that there are significant differences between students who use the help of the Photomath application and those who do not. So it can be concluded that the use of the Photomath application has an effect on student learning outcomes at IAIN Kediri's mathematics tadris in advanced calculus courses.
Implementation of STEM (Science Technology Engineering and Mathematics) Learning Model Based on Local Wisdom on Student Learning Outcomes Dewi, Ardiana Fatma; Wakhidah, Fina Alya Nur; Sari, Dwi Ratna; Arifinta, Hasna Nisa; Ni’amahah, Naila Lutfiatun; Ilmia, Siti Mazro’atul; Sholihah, Tri Eva
Proceeding International Conference on Education Volume 02, Agustus Tahun 2024: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

The rapid development of science and technology has given rise to various innovations in the field of technology that are created to facilitate activities, especially in the field of education. Creative thinking and critical thinking skills are very much needed following the demands of 21st-century skills, namely so that students have various abilities, including critical thinking, creative thinking, communication and collaboration. STEM is an integrative learning approach that combines Knowledge (Science), Technology (Technology), Engineering (Engineering), and Mathematics (Mathematics). Several studies have shown that the STEM approach positively affects student learning, so this study tries to implement STEM based on local wisdom on learning outcomes. This study aims to determine how student learning outcomes are before and after providing a STEM learning model based on local wisdom. The type of research used is quantitative with an experimental method. Sample selection uses a simple random sampling technique, with research subjects being grade IX students of SMP Muhammadiyah Kediri. The results of the study showed that the average student learning outcomes before the action were relatively low; after being given treatment, the average student learning outcomes increased. The results obtained using the paired t-test were that the significance value of learning outcomes was 0.000 <0.05, meaning that there was a difference in the average learning outcomes of students before and after the local wisdom-based STEM learning model provision.
Perbandingan Model Generalized Ammi (Gammi) dengan Row Column Interaction Model pada Interaksi Genotipe dan Lingkungan Ahadiyah, Kurnia; Dewi, Ardiana Fatma
Journal Focus Action of Research Mathematic (Factor M) Vol. 4 No. 2 (2022)
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/factor_m.v4i2.4189

Abstract

Model Generalized AMMI (GAMMI) merupakan perluasan dari model AMMI (Additive Main Effect and Multiplicative Interaction). Model GAMMI melibatkan konsep Generalized Linear Model (GLM) pada variabel responnya. Pada penelitian ini, model GAMMI digunakan untuk data interaksi antara genotipe dan lingkungan yang mempunyai distribusi poisson. Sama halnya dengan model AMMI, model GAMMI juga digunakan untuk menganalisis kestabilan genotipe pada lingkungan yang beragam dengan pengaruh utama perlakuan dimodelkan dengan model aditif sedangkan pengaruh interaksi dimodelkan dengan model multiplikatif (bilinier). Metode lain yang memiliki kemiripan dengan model GAMMI adalah Row Column Interaction Model (RCIM). Model ini juga dapat digunakan untuk data yang berdistribusi poisson. Kedua model ini akan dibandingkan nilai analisis devian dan biplotnya. Interpretasi kedua model ditunjukkan melalui biplot dengan penguraian Singular Value Decompotition (SVD) pada matriks interaksi. Data yang digunakan untuk membandingkan kedua metode tersebut adalah data hama kedelai yang berisi empat genotipe dan lima jenis hama kedelai. Penelitian ini lebih ditekankan pada perbandingan hasil pemodelan dengan cara yang berbeda. Kedua metode menunjukan nilai peluang yang hampir sama yaitu untuk model GAMMI dengan regresi bolak-balik sebesar 0,0541, sedangkan model RCIM sebesar 0,0548. Keduanya sama-sama signifikan pada model GAMMI2 karena nilai peluang <0,06.   Generalized AMMI (GAMMI) model is a development of the AMMI (Additive Main Effect and Multiplicative Interaction) model. Model GAMMI involves the concept of Generalized Linear Model (GLM) on the response variable. In this research, GAMMI model used for interaction of genotype and environment data that have poisson distribution. Similar to the AMMI model, GAMMI model also used to analyze the stability of the genotype in any different environment with the main effect of treatment is modeled by additive model, while the effect of the interaction is modeled by multiplicative model (bilinear). Another method which is similar to GAMMI model is Row Column Interaction Model (RCIM). This model also can used for the data that have poisson distribution. These two models will be compared with the analysis value of the deviance and biplot. Interpretation of the model is shown through the biplot with Singular Value Decompotition (SVD) toward interaction matrix. The data used to compare the two methods is soybean pest data which contains four genotypes and five of soybean pests. This research emphasizes on comparing the results of modeling in different ways. The results of the analysis of the two methods show that the probability value is almost the same, for the GAMMI model with alternating regression is 0.0541, while the RCIM model is 0.0548. Both are equally significant in the GAMMI2 model because the probability value is <0.06.
Pengaruh Self Efficacy terhadap Kemampuan Pemecahan Masalah dengan Resiliensi Matematis Sebagai Variabel Intervening Amanah, Umi Latifatul; Akhyar, Muhammad Khoiril; Dewi, Ardiana Fatma
Jurnal Pendidikan Matematika Unpatti Vol 6 No 3 (2025): Jurnal Pendidikan Matematika Unpatti
Publisher : Program Studi Pendidikan Matematika Fakultas Keguruan dan Ilmu Pendidikan Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jpmunpatti.v6.i3.p169-177

Abstract

Studi penelitian ini dirancang dengan tujuan mencari tahu bagaimana tingkat pengaruh kepercayaan diri peserta didik (self-efficacy) dalam menentukan kapasitas mereka ketika berhadapan dengan permasalahan matematika melalui resiliensi matematis. penelitian ini menggunakan metode kuantitatif dengan rancangan ex post facto, kajian ini menggunakan sampel sebanyak 186 peserta didik kelas X di SMKS Al Mahrusiyah Lirboyo Kediri. Penentuan teknik pengambilan sampel menggunakan prosedur simple random sampling dengan dengan jumlah yang ditentukan menggunakan Isaac dan Michael. Pengolahan data dilakukan melalui teknik regresi linear sederhana dan path analysis untuk mengkaji keterkaitan sebab akibat di antara variabel variabel penelitian. Hasil pengolahan data memperlihatkan bahwa daya resiliensi matematis menjalankan peran sebagai variabel mediasi (intervening) yang meningkatkan dampak self efficacy pada kapabilitas peserta didik dalam mengatasi permasalahan matematika. Hasil pengujian menggunakan Sobel tes, yang memperoleh nilai t hitung mencapai 5.6617213 dengan derajat signifikansi pada two-tailed probability senilai 0.000. menandakan adanya signifikansi statistik yang sangat kuat (p <0.05). Berdasarkan hal tersebut, resiliensi matematis tidak semata-mata berperan sebagai variabel interverning dalam hubungan self efficacy terhadap kemampuan pemecahan masalah, melainkan turut mendukung siswa dalam memelihara sekaligus mengembangkan keyakinan mereka akan kapasitas yang mereka miliki dalam menuntaskan permasalahan matematika.
Principal Component Analysis and Agglomerative Hierarchical Clustering for Assessing the Condition of MSMEs Assisted by the Department of Cooperatives and MSMEs Dewi, Ardiana Fatma; Ahadiyah, Kurnia
Jurnal Varian Vol. 9 No. 1 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v9i1.6035

Abstract

Usaha Mikro, Kecil dan Menengah (UMKM) have an important role in the growth of the Indonesian economy. To achieve these hopes certainly requires a strategy. One way is to formulate policies based on information adapted to local conditions. One of the right ways to conduct this research is through data mining. There are techniques in data mining and one of the techniques that can be used is clustering with the Agglomerative Hierarchical Clustering Algorithm with Principal Component Analysis (PCA). Cluster analysis aims to group objects based on their characteristics. This research aims to determine the appropriate distribution strategy for business capital assistance. In grouping UMKM assisted by the Department of Cooperatives and UMKM of Kediri City based on several indicators measured by business capital, turnover, profits, human resources, marketing methods, government capital assistance, type of business, and place of business, it was found that the optimal algorithm used was complete linkage. With a cophenetic correlation value obtained of 0.733. Based on good internal cluster validation through silhouette values ​​based on the characteristics possessed by UMKM actors, the number of representative clusters is 3 clusters. An interesting finding is that the third cluster has not had access to government assistance programs. Based on the results of this research, it can be concluded that the allocation of government capital assistance is not fully evenly distributed and is not optimal in achieving the goal of increasing the competitiveness of UMKM.
Spatial Modeling of Factors Determining Active Family Planning Participation in East Java: A Geographically Weighted Regression and Elastic Net Approach Ardiana Fatma Dewi; I Nyoman Kresna Wira Yudha; Muhammad Nasrudin
Jurnal Aplikasi Sains Data Vol. 2 No. 1 (2026): Journal of Data Science Applications.
Publisher : Program Studi Sains Data UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jasid.v2i1.58

Abstract

This research identifies regional variations and determinants of active family planning (KB) participation in East Java using spatial modeling. The study utilizes data from the 2024 Family Information System (SIGA) of BKKBN East Java. To address multicollinearity and high-dimensional data, the Elastic Net method—combining Ridge and Lasso penalties—was employed for variable selection, retaining 6 out of 10 initial variables. Global modeling through Ordinary Least Squares (OLS) showed an Adjusted of 0.668. However, a Moran’s I test on the residuals revealed significant spatial autocorrelation (Z-score = 2.5677, p = 0.0102), justifying the use of Geographically Weighted Regression (GWR). The GWR model, using a Fixed Gaussian kernel with a bandwidth of 103.63, improved performance with an Adjusted of 0.7348. The results demonstrate spatial heterogeneity, where factors such as unmet need, households with children, and welfare levels have varying impacts across different districts. This spatial visualization helps identify priority areas for strategic resource allocation to enhance KB program efficiency
Co-Authors Ahadiyah, Kurnia akhyar, Muhammad Khoiril Amanah, Umi Latifatul Anggraini, Atika Arifinta, Hasna Nisa Atika Anggraini Aura Maharani Cahya Krisanti Dwi Ratna Sari, Dwi Ratna Fahma, Farisa Aina Husain, Hartina I Nyoman Kresna Wira Yudha Ilmia, Siti Mazro’atul Kurnia Ahadiyah Laili, Ummiy Fauziyah Moryati, Yulisna Nadzifah Salsabila Ni’amahah, Naila Lutfiatun Nuriyah, Zidah Chotamy Prassastie, Fadilla Eka Putri, Nabila Amelia Kurnia Rahmadian Pratiwi Rahman, Àdnan Romadewanti, Shinta Hircatanu Salani, Hana Talia Novia Sholihah, Tri Eva Wakhidah, Fina Alya Nur