Article Per Year (5 Year)
p-Index From 2021 - 2026
3.916
P-Index
This Author published in this journals
All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Matematika Jurnal Ilmu Dasar CAUCHY: Jurnal Matematika Murni dan Aplikasi JSI: Jurnal Sistem Informasi (E-Journal) Kubik POSITIF Jurnal Sains Matematika dan Statistika Jurnal Penelitian Sains JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JIEET (Journal of Information Engineering and Educational Technology) Jurnal Pengabdian Pada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Teorema: Teori dan Riset Matematika Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Teknologi Terapan Jurnal Matematika UNAND INTEGRITAS : Jurnal Pengabdian Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Diseminasi : Jurnal Pengabdian kepada Masyarakat KUBIK: Jurnal Publikasi Ilmiah Matematika Bulletin of Applied Mathematics and Mathematics Education Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pelita Sriwijaya AbdiMuh: Jurnal Pengabdian Masyarakat
Novi Rustiana Dewi
Jurusan Matematika Fakultas MIPA Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Algoritma Support Vector Machine (SVM) dan Adaptive Boosting (AdaBoost) untuk Klasifikasi Penyakit Kanker Paru-paru Pasma Azzahra; Ravisha Keyna Anduwi; Desiani, Anita; Novi Rustiana Dewi; Indri Ramayanti
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 2 (2025): JSI: Jurnal Sistem Informasi (E-Journal)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i2.319

Abstract

Kanker paru-paru adalah jenis kanker yang tumbuh dalam organ paru-paru di mana perubahan sel paru-paru yang tidak normal terjadi. Penyakit ini disebabkan oleh beberapa kebiasaan seperti merokok, alergi, polusi udara, dan sebagainya. Kanker paru-paru termasuk jenis kanker yang mematikan. Deteksi dini dapat dilakukan dengan pendekatan matematis yaitu data mining. Penelitian ini bertujuan untuk menganalisis perbandingan kinerja klasifikasi antara algoritma Support Vector Machine (SVM) dan Adaptive Boosting (AdaBoost). Analisis komparatif ini dilakukan untuk mengidentifikasi algoritma mana yang menunjukkan performa paling optimal dalam penanganan data kanker paru-paru. Teknik uji yang dilakukan pada penelitian ini adalah percentage split dan K-Fold cross validation. Hasil pengujian dengan metode percentage split menunjukkan bahwa algoritma SVM mencapai akurasi 85%, sedangkan algoritma AdaBoost memperoleh akurasi 95%. Sementara itu, pengujian dilakukan menggunakan teknik K-Fold cross validation, akurasi untuk algoritma SVM adalah 88% dan untuk algoritma AdaBoost sebesar 93%. Dapat disimpulkan bahwa metode percentage split dengan algoritma AdaBoost memiliki performa tertinggi dibandingkan metode dan teknik pengujian lainnya, yaitu sebesar 98% sehingga algoritma Adaboost lebih akurat untuk deteksi dini kanker paru-paru. . Kontribusi penelitian ini terletak pada pengembangan sistem pendukung keputusan untuk diagnosis awal kanker paru-paru, yang berpotensi mempermudah tenaga medis dalam tahap deteksi dini.
Box Fractal as an Iterated Function System in Fractal Interpolation for Determining the Approximate Value of Demand Data Susanti, Eka; Dwipurwani, Oki; Cahyawati, Dian; Dewi, Novi Rustiana; Khotimah, Husnul; Ningsih, Wahyuni Apria
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.38905

Abstract

A common problem in inventory planning is the uncertainty of demand. One technique for determining the demand approximation value is the fractal interpolation. The aim of this study is to develop a fractal interpolation technique using a Fractal Interpolated Function constructed by the affine function that forms the Box Fractal shape. The developed method is applied to interpolate rice demand data based on prices at a rice milling factory. Mean Absolute Percentage Error (MAPE) is used to measure the accuracy of the interpolation results. For the n^{th} iteration, the number of boxes formed is 5^n, and the number of pairs of points is 4×5^n. Based on the rice demand data from one of the factories, the best MAPE was obtained at the $6^{th}$ iteration, with a value of 16.319%, which falls into the good category. Based on the data used, the affine function forming the Box Fractal as a Fractal Interpolated Function can be applied in fractal interpolation techniques.
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 ABDUL AZIZ ARROHMAN Agustina Bidarti Alfensi Faruk Ali Amran Anita Desiani anita, anita desiani Arhami, Muhammad Arsi, Arsi Bambang Suprihatin Bambang Suprihatin BONGOT R. PURBA DES ALWINE ZAYANTI Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Dewi Lestari Dwi Putri Dian Cahyawati DIAN LESTARI Eddy Roflin Eka Susanti Eka susanti Eka Susanti ELI WIDIYANTI ENDANG SRI KRESNAWATI Endang Sri Kresnawati Endro Setyo Cahyono Endro Setyo Cahyono, Endro Setyo Evi Yuliza, Evi Fitri Maya Puspita Fitri Salamah Fitri Yani Herlina Hanum Herlina Hanum, Herlina Husnul Khotimah Indira, Ria Indrawati Indrawati Indrawati Indri Ramayanti Irsyadi Yani Lailatul Karomah Muhammad 'Aqil Muhammad Awaludin Djohar Mukhlisah, Nur Muslim Ansori NEYSA ADIRATNA AGMI MASYITHAH Ning Eliyati Ningsih, Wahyuni Apria Nyimas Syarifah Khodijah Oki Dwipurwani Oktavianus Hasiholan Marbun Pasma Azzahra Permata, Anggun Pipin Palinda Prahesti, Wanodya Eka Rahmadita, Suristhia Ramadhan, Ahmad Farhan Rani Elekta Togatorop Ravisha Keyna Anduwi Resnawati Rika Novita Rika Novita Rindarto, Ahmad Robinson Sitepu Safira, Indri Yune serip, Amanda Aulia Rachman SINTA ELPATRIKA ABELIA Sisca Octarina SITI NATASYA MUNAWAROH Sitorus, Dina Suzzete Sugandi Yahdin Supadi, Siti Suzlin Tiara Bella Octalia Yanita, Nurul Fadhila Yosephus D. Sumanto Yuli Andriani Yulia Resti