Article Per Year (5 Year)
p-Index From 2021 - 2026
2.612
P-Index
This Author published in this journals
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) Journal of Mathematics, Computation and Statistics (JMATHCOS) Proceeding International Conference on Education
Ardiana Fatma Dewi
Institut Agama Islam Negeri (IAIN) Kediri
Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
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.
Analisis Regresi Data Panel dalam Memodelkan Faktor yang Mempengaruhi Stunting di Indonesia Ardiana Fatma Dewi; Hartina Husain
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4493

Abstract

Most nations deal with stunting to some extent, but emerging nations and those in the lower middle class, like Indonesia, have it the worst. Accordingly, the stunting epidemic remains the top priority for the Indonesian government at the present time. Because of its many potential future effects, stunting is a major worry for the government. Determining what variables may impact stunting in Indonesia is one approach to bolstering this initiative. Panel data will be used in this study due to the fact that different provinces in Indonesia exhibit different features on an annual basis. In 2020 and 2022, researchers in 34 of Indonesia's provinces used panel data regression analysis to identify the variables that impact stunting rates. Based on these findings, a model using a fixed effect estimator was determined to be the most effective. The results of the Chow and Hausman tests support this idea, respectively showing that fixed-effect models outperform common-effect models and random-effect models. Both full and partial tests show that the number of stunted children under five in Indonesia is significantly affected by the variables of poverty rate and gross regional product per capita. The panel data regression model using the poverty rate and GDP per capita provides a strong explanation for the prevalence of stunting in children less than five years old, as shown by the model's coefficient of determination of 94.29%.
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 Hartina Husain 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 Salani, Hana Talia Novia Sholihah, Tri Eva Wakhidah, Fina Alya Nur