Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Griya Journal of Mathematics Education and Application Jurnal Abdimas Bencoolen Journal of Innovation in Applied Natural Science
Siska Dwi Kumala
Universitas Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Energy Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
A Comparative Analysis of AES and LWE in Digital Image Encryption Aisyah Nooravieta Setiawan; Siska Dwi Kumala; Aisyah Enggel Luthfiyah
Griya Journal of Mathematics Education and Application Vol. 6 No. 1 (2026): Maret 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i1.1042

Abstract

This study investigates a comparative analysis between two cryptographic algorithms, which are the Advanced Encryption Standard (AES) and the Learning With Errors (LWE), in the case of digital image encryption. The core of the aim is to evaluate the computational performance, output quality, and security of the two algorithms when applied to digital image data. The methods used include measuring the computational performance by recording the encryption and decryption times for both algorithms, as well as performing a detailed analysis of the image quality post-decryption, and comparing the security of the two algorithms. The results of this analysis indicate that AES outperforms LWE in terms of speed, providing faster encryption and decryption processes with minimal impact on image quality. However, LWE offers a stronger level of security against quantum-based attacks, although with a longer processing time. This study provides important insights for selecting the appropriate encryption algorithm based on security and performance requirements in digital image processing
PENDAMPINGAN PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ANDROID BEBANTUAN ISPRINGSUITE BAGI GURU NONFORMAL DALAM MENINGKATKAN KEMAMPUAN NUMERASI SISWA PAKET DI SPNF-SKB BENGKULU TENGAH Elwan Stiadi; Ari Putra; Helda Rahmasari; Siska Dwi Kumala
Jurnal Abdimas Bencoolen Vol. 4 No. 2 (2026)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/abdimas.4.2.53-62

Abstract

Kegiatan pengabdian kepada masyarakat ini dilatarbelakangi oleh keterbatasan kompetensi guru nonformal di SPNF-SKB Bengkulu Tengah dalam mengembangkan media pembelajaran digital yang interaktif dan sesuai dengan kebutuhan warga belajar Paket A, B, dan C. Kegiatan ini bertujuan meningkatkan keterampilan guru dalam merancang dan mengembangkan media pembelajaran numerasi berbasis Android berbantuan iSpring Suite. Metode pelaksanaan meliputi koordinasi dan identifikasi kebutuhan, pelatihan, workshop, praktik langsung, pendampingan pengembangan produk, uji coba terbatas, serta evaluasi melalui angket pre-test dan post-test. Peserta kegiatan terdiri atas guru nonformal SPNF-SKB Bengkulu Tengah. Hasil kegiatan menunjukkan adanya peningkatan pengalaman dan kesiapan peserta dalam menggunakan iSpring Suite dan mengembangkan media pembelajaran berbasis Android. Pada awal kegiatan, seluruh peserta menyatakan belum pernah menggunakan iSpring Suite. Setelah pendampingan, seluruh peserta menyatakan telah menggunakan aplikasi tersebut dan memberikan respons positif terhadap kemampuan menyusun materi, membuat kuis interaktif, mengonversi media ke format HTML5, serta menghasilkan aplikasi Android. Kegiatan ini menghasilkan delapan aplikasi media pembelajaran berbasis Android pada materi Aritmatika Sosial, Bangun Ruang Sisi Datar, Bangun Ruang Sisi Lengkung, Lingkaran, Peluang, Pythagoras, Statistika, dan Transformasi Geometri. Selain itu, dihasilkan website Library Digital SPNF-SKB Bengkulu Tengah sebagai wadah sumber belajar digital. Dengan demikian, pendampingan ini berkontribusi terhadap peningkatan kapasitas guru dan penguatan ekosistem pembelajaran digital pada pendidikan nonformal. Evaluasi lanjutan melalui tes numerasi yang terukur masih diperlukan untuk mengetahui dampak penggunaan media terhadap kemampuan numerasi warga belajar.
Comparative Analysis of K-Nearest Neighbor and Fuzzy K-Nearest Neighbor for Diabetes Classification Using the Pima Indians Diabetes Dataset Ulfasari Rafflesia; Siska Dwi Kumala; Ratna Widayati; Aisyah Nooravieta S.; Oon Septa
Journal of Innovation in Applied Natural Science Vol. 2 No. 2 (2026): Journal of Innovation in Applied Natural Science
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jinas.v2i2.223

Abstract

Background of study: Diabetes mellitus remains one of the most common chronic diseases worldwide; thus, early and accurate prediction is critical for appropriate intervention. Aims: This study examines the performance of the standard K-Nearest Neighbor (KNN) method and its fuzzy counterpart, Fuzzy K-Nearest Neighbor (Fuzzy KNN), in classifying diabetes status and compares their behavior across different neighborhood sizes (k). Methods: The Pima Indians Diabetes Dataset (768 cases, 8 clinical variables) was used. Zero values in physiologically implausible attributes (glucose, blood pressure, skin thickness, insulin, and BMI) were treated as missing values based on the physiological interpretation of these variables and imputed using class-wise medians. The dataset was then split into 80% training and 20% testing subsets using stratified sampling to preserve class proportions. Five-fold cross-validation on the training set was used to determine the optimal number of neighbors (k), after which both models were evaluated on the held-out test set using accuracy, precision, recall, and F1-score. Result: The optimal k varied between models: k=15 for KNN and k=3 for Fuzzy KNN. Cross-validation accuracy across the tested k range (3–21) remained relatively stable for both methods (approximately 0.80–0.83), indicating that performance was not highly sensitive to k selection. On the test set, Fuzzy KNN outperformed conventional KNN across all evaluation metrics (accuracy: 0.779 vs. 0.773; precision: 0.679 vs. 0.673; recall: 0.704 vs. 0.685; F1-score: 0.691 vs. 0.679). Conclusion: For the Pima Indians Diabetes Dataset, Fuzzy KNN achieved slightly better performance than conventional KNN across all evaluated metrics on the held-out test set. These findings indicate that distance-based membership weighting may provide a modest advantage over crisp majority voting for diabetes classification in this dataset.
Co-Authors Aisyah Enggel Luthfiyah Aisyah Nooravieta S. Ari Putra Elwan Stiadi Helda Rahmasari Oon Septa Ratna Widayati Setiawan, Aisyah Nooravieta Ulfasari Rafflesia