Article Per Year (5 Year)
p-Index From 2021 - 2026
2.177
P-Index
This Author published in this journals
All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Sains Matematika dan Statistika JPSriwijaya Jurnal Penelitian Sains JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JKPM (Jurnal Kajian Pendidikan Matematika) Journal of Electronics, Electromedical Engineering, and Medical Informatics INTEGRITAS : Jurnal Pengabdian Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Bulletin of Applied Mathematics and Mathematics Education Jurnal Pelita Sriwijaya Jurnal Kecerdasan Buatan dan Teknologi Informasi
Des Alwine Zayanti, Des Alwine
Jurusan Matematika, Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Nursing Physics Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Penerapan Konsep Bangun Fraktal pada Pembelajaran Bilangan Berpangkat Dewi, Novi Rustiana; Susanti, Eka; Sukanda, Dian Cahyawati; Dwipurwani, Oki; Zayanti, Des Alwine
Abdimas Galuh Vol 7, No 1 (2025): Maret 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i1.16890

Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan meningkatkan pemahaman siswa SD terhadap konsep bilangan berpangkat melalui visualisasi bangun fraktal Sierpinski menggunakan aplikasi Wolfram Alpha. Kegiatan dilaksanakan di SD Negeri 60 Palembang dengan peserta 52 siswa kelas 5 dan 6 serta 17 guru. Metode kegiatan adalah pengenalan aplikasi dan pendampingan belajar. Hasil evaluasi menunjukkan peningkatan pemahaman siswa kelas 6 dari rata-rata 35% pada pre-test menjadi 65% pada post-test. Sedangkan untuk kelas 5 meningkat dari 48% menjadi 52%. Pendampingan menggunakan Wolfram Alpha kepada guru dapat meningkatkan keterampilan dalam membuat media pembelajaran yang bervariasi. Hasil kegiatan pengabdian menunjukkan bahwa pendekatan pembelajaran berbasis teknologi melalui penerapan bangun fraktal Sierspinski yang divisualisasikan menggunakan aplikasi Wolfram Alpha memberikan dampak positif.
Ensemble Classifier dengan Teknik Weighted Voting untuk Klasifikasi Jamur Beracun Prabudifa, Muhammad Yusuf; Mayangsari, Oki Sukma; Desiani, Anita; Zayanti, Des Alwine; Primartha, Rifkie; Novita, Dien
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10168

Abstract

Fungi are heterotrophic organisms that fulfill their needs by utilizing organic matter from other organisms. Mushrooms consist of 3 groups, namely edible mushrooms, poisonous mushrooms, and mushrooms that are not known to be edible or poisonous. The purpose of this research is to find the best algorithm to classify mushroom types appropriately. Mushroom classification can be done through the application of a single classifier including the Gaussian Naive Bayes algorithm, C4.5 and Classification and Regression Trees (CART), which is then compared using an ensemble classifier. Single classifiers have limited performance and are not adaptive to data changes, while the ensemble algorithm with Weighted Soft Voting is able to cover these shortcomings by increasing accuracy and robustness by combining predictions from several models that are weighted based on their respective performance. The Gaussian Naive Bayes, CART and C4.5 algorithms with percentage split testing techniques obtained accuracy results of 63.55%, 97.67% and 97.77% respectively. The results of research using the Ensemble method can increase the accuracy value by combining the three algorithm weights with an accuracy result of 98%. In this case, the Ensemble algorithm obtained the best performance in mushroom classification.
PENGEMBANGAN MOTIF FRAKTAL PADA USAHA PRODUKSI KAIN JUMPUTAN PALEMBANG Dewi, Novi Rustiana; Susanti, Eka; Hanum, Herlina; Cahyawati, Dian; Zayanti, Des Alwine
INTEGRITAS : Jurnal Pengabdian Vol 6 No 1 (2022): JANUARI - JULI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v6i1.1335

Abstract

Kain jumputan adalah salah satu kain khas Palembang. Kain jumputan Palembang memiliki ciri dan kekhasan tersendiri baik dari sisi warna maupun motif. Motif kain jumputan Palembang adalah pengulangan dari suatu bentuk bangun yang digambarkan secara berulang pada lembaran kain. Konsep pengulangan motif pada kain jumputan bersesuaian dengan konsep bangun fraktal. Penerapan teknologi komputer dan konsep matematika pada rancangan motif kain jumputan diharapkan dapat menghasilkan variasi motif kain jumputan yang dapat meningkatkan penjualan kain jumputan Palembang. Dari kegiatan pengabdian ini, dihasilkan kain dengan motif fraktal lupis dan titik tujuh. Kedua motif fraktal digambar menggunakan bangun fraktal himpunan Julia dan kurva Sierspinski Kata Kunci: Fraktal, Jumputan Palembang, Himpunan Julia, Kurva Sierspinski
Classification of weather events in Lahat regency using the K-Nearest Neighbor method Kresnawati, Endang Sri; Resti, Yulia; Eliyati, Ning; Zayanti, Des Alwine; Dewi, Novi Rustiana; Yani, Irsyadi
Bulletin of Applied Mathematics and Mathematics Education Vol. 5 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v5i2.14613

Abstract

Weather event classification in a region is very important for various purposes, such as in the fields of transportation, health, agriculture, and others. Lahat has varying land elevations ranging from 26-106 meters above sea level in the East Merapi sub-district to 341-3032 meters above sea level in the Tanjung Sakti Pumi sub-district. It greatly affects local temperature, rainfall, and atmospheric pressure, which in turn affects the distribution of weather patterns and disasters such as floods. KNN is a prediction method that uses the concept of distance for a number of k nearest observations in determining the similarity between observations. Several metrics can be used for this prediction purpose. This study aims to predict weather events in Lahat Regency using the KNN method with several different distance metrics and then compare them to obtain the performance of the KNN prediction method. The results show that the Euclidean distance metric used in the KNN method has a better performance measurement, followed by the Manhattan and Minkowski metrics. In the Euclidean metric, the accuracy, precision, recall, f1-score, AUC, and MC value are 92.69%, 88.21%, 85.81%, 86.99%, 88.99%, and 76.37%, respectively.
Co-Authors Affandi, Azhar Kholiq Ali Amran Ali Syahbana Andi Eka Putra Andriani, Nur Avisa Calista Anita Desiani Arhami, Muhammad Dewi Lestari Dwi Putri Dian Cahyawati Dien Novita Efriliyanti, Filda Eka susanti Eka Susanti Endang Sri Kresnawati Endro Setyo Cahyono, Endro Setyo Fitri Maya Puspita Giovillando Herlina Hanum, Herlina Indri Ramayanti Irmeilyana Irsyadi Yani Kusmareni, Anisa Aulia Mayangsari, Oki Sukma Mega Fatimah Rosana Muhammad 'Aqil Muhammad Awaludin Djohar Nadya Riri Febiyanti Ning Eliyati Novi Rustiana Dewi Oki Dwipurwani Prabudifa, Muhammad Yusuf Putra Bahtera Jaya Bangun, Putra Bahtera Jaya Putri, Ajeng Islamia Ramadhan, Faishal Fitra Resnawati Rifkie Primartha Sasongko, Muhammad Aditya Saviera, Mutiara Sugandi Yahdin Yadi Utama Yulia Resti