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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Statistika Jurnal Pendidikan Matematika RAFA Science and Technology Indonesia Jurnal Penelitian Sains Jurnal Pengabdian Pada Masyarakat Seminar Nasional Lahan Suboptimal M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Journal of Engineering and Scientific Research (JESR) Indonesian Journal of Engineering and Science (IJES) Inovasi Matematika (Inomatika) Bulletin of Applied Mathematics and Mathematics Education Jurnal Pelita Sriwijaya Prosiding Seminar Nasional Unimus Mathematics Education Journal Journal on Mathematics Education
Yulia Resti
Jurusan Matematika, Fakultas MIPA, Universitas Srwijaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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PENGENALAN KONSEP HIMPUNAN FUZZY DALAM MENDUKUNG LITERASI SAINS DAN NUMERASI Resti, Yulia; Zayanti, Des A.; Kresnawati, Endang S.; Eliyati, Ning; Yani, Irsyadi
Jurnal Lentera Nusantara Vol 4 No 1 (2025): Jurnal Pelita Sriwijaya
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v4i1.180

Abstract

Literasi sains dan numerasi diperlukan masyarakat modern untuk menghadapi berbagai permasalahan ilmu pengetahuan dan teknologi. Sayangnya berdasarkan tes PISA, literasi sains dan numerasi anak-anak Indonesia tergolong sangat rendah. Guna mendukung literasi sains dan numerasi, pada kegiatan ini, konsep himpunan fuzzy dikenalkan kepada siswa-siswa SMA-SMK Kartini Palembang. Penguasaan tentang konsep keanggotaan himpunan secara umum (himpunan crisp) dan keanggotaan himpunan fuzzy beserta contoh nyata dalam kehidupan sehari-hari diberikan kepada siswa untuk memberikan kemudahan dalam memahami materi. Penilaian kemampuan diberikan dalam bentuk pra-test dan post test. Hasil kegiatan menunjukkan bahwa literasi sains dan numerasi khalayak sasaran meningkat signifikan. Uji beda rata-rata kedua kelompok nilai pra-test dan post-test dengan tingkat signifikansi 5 % untuk khalayak sasaran menunjukkan bahwa kedua kelompok memiliki perbedaan yang signifikan, Hasil ini juga menginfomasikan bahwa rata-rata nilai post-test secara signifikan mengalami peningkatan. Artinya kegiatan kegiatan pengabdian kepada masyarakat ini memberikan implikasi yang signifikan terhadap peningkatan kemampuan literasi dan numerasi mereka.
PENGUATAN LITERASI SAINS MELALUI PENGENALAN METODE STATISTIKA UNTUK DATA HILANG Kresnawati, Endang S.; Resti, Yulia; Dewi, Novi R.; Yani, Irsyadi; Marwani, Marwani
Jurnal Lentera Nusantara Vol 4 No 1 (2025): Jurnal Pelita Sriwijaya
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v4i1.181

Abstract

Kemampuan literasi sains yang baik berkontribusi secara signifikan terhadap kemajuan bangsa. Sebagai generasi penerus, sepatutnya siswa Sekolah Mengengah Atas (SMA) dibekali banyak pengetahuan guna meningkatkan literasi sains yang mereka miliki termasuk dalam menangani data atau pengamatan yang hilang, mengingat saat ini merupakan era big data. Kegiatan pengabdian yang dilaksanakan ini bertujuan mengenalkan metode-metode statistika dalam mengatasi data hilang. Pengetahuan ini diharapkan dapat menguatkan literasi sains siswa SMA Kartini Palembang, yang merupakan sekolah swasta yang berada sekitar 1 km di belakang kampus Universitas Sriwijaya. Sekolah ini memiliki akreditasi B dan fokus untuk peminatan IPA. Berdasarkan pra-test dan post-test terkait pengetahuan dasar tentang metode statistika dalan menangani daa hikang, hasil kegiatan menunjukkan bahwa literasi sains dan numerasi khalayak sasaran meningkat signifikan. Uji beda rata-rata kedua kelompok nilai pra-test dan post-test dengan tingkat signifikansi 5 % untuk khalayak sasarn menunjukkan bahwa kedua kelompok memiliki perbedaan yang signifikan, Hasil ini juga menginfomasikan bahwa rata-rata nilai post-test secara signifikan mengalami peningkatan. Artinya kegiatan kegiatan pengabdian kepada masyarakat ini memberikan implikasi yang signifikan terhadap peningkatan kemampuan literasi dan numerasi mereka.
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.
Coronary Artery Disease Prediction Using Decision Trees and Multinomial Naïve Bayes with k-Fold Cross Validation Endang S Kresnawati; Yulia Resti; Bambang Suprihatin; M. Rendy Kurniawan; Widya Ayu Amanda
Jurnal Inovasi Matematika Vol. 3 No. 2 (2021): Inovasi Matematika
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1226.478 KB) | DOI: 10.35438/inomatika.v3i2.266

Abstract

Coronary artery disease has been the leading cause of death in the world population for at least two decades (2000-2019) and has experienced the largest increase in mortality in that time span compared to other causes of death. The success of predicting coronary artery disease early based on medical data is not only beneficial for patients, but also beneficial for the stability of the country's economy. This paper discusses the prediction of coronary artery disease risk by implementing two statistical learning methods, namely Multinomial Naïve Bayes and Decision Tree with 10-fold cross validation, where numerical variables are discretized to obtain categorical variables. The results showed that the Decision Tree method has better performance than the Multinomial Naïve Bayes method in predicting coronary artery disease. The performance measure of the Decision Tree method obtained an accuracy rate of 99.63%, 100% sensitivity, 99.33% specificity, 99.23% precision, and 100% Negative Prediction Value. These measures indicate that the Decision Tree method is appropriate for predicting coronary artery disease, including independent data (other coronary artery disease data with the same predictor variables). The results of this study also show that the different references to previous studies in discretizing numerical variables can improve the performance of the method in predicting coronary artery disease.
Implementation of a Breakpoint Halfway Discretization to Predict Jakarta's Air Quality Winoto Chandra; Yulia Resti; Bambang Suprihatin
Jurnal Inovasi Matematika Vol. 4 No. 1 (2022): Inovasi Matematika
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.13 KB) | DOI: 10.35438/inomatika.v4i1.310

Abstract

Despite the pandemic, Jakarta is one of the most polluted cities in the world. Knowing the daily air quality forecast aids the community, particularly Jakarta residents. Among these is the ability to protect oneself from dangerous air. The multinomial naive Bayes and the decision tree-ID3 methods are popular and perform well. Both of these strategies, however, require categorical variables. This need necessitates the implementation of a discretization technique for numerical variables. The purpose of this study is to predict Jakarta's air quality using the multinomial naive Bayes and decision tree method based on Particulate Matter 10 µg (PM10), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Ozone (O3), and Carbon Monoxide (CO). These continuous variables are discretized in two ways: using all midway breakpoints or halfway mixture breakpoints. The results indicated that the decision tree method with the mixture breakpoints halfway approach performed better than the multinomial nave Bayes method, with an accuracy of 98.90%, a specificity of 98.92%, a sensitivity of 75.00%, a precision of 75.00%, and an F1 score of 97.81%.
Co-Authors A. S. Mohruni Akbar Teguh Prakoso Ali Amran Ali Amran Ali Syahbana Alwine Zayanti, Des Amrifan Saladin Mohruni Andi Eka Putra Aneka Firdaus Anita Desiani Ansyori Ansyori Ansyori Ansyori Ansyori Yani Anthony Costa Arhami, Muhammad Astuti Astuti Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Burlian, F. Chandra Irsan Chandra Irsan Chandra Irsan Dendy Adanta Des A. Zayanti Des Alwine Zayanti Des Alwine Zayanti DES ALWINE ZAYANTI Des Alwine Zayanti Des Alwine Zayanti Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Des Alwine Zayantii Desi Herlina Saraswati Dewi Puspita Sari Dewi Puspitasari Dewi Puspitasari Dewi, Novi R. Endang S Kresnawati Endang S. Kresnawati Endang Sri Kresnawati Endang Sri Kresnawati Endang Sri Kresnawati Endang Sri Kresnawati ENDANG SRI KRESNAWATI Endang Sri Kresnawati Endang Sri Kresnawati F Nasution F. A. Alhamdini Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Fitri Puspasari Fusito Fusito Hasan Basri Hoiri, Sajiril I Yani Indah Meiliana Sari Irsyadi Yani Ismail Thamrin Jeremy Firdaus Latif Kresnawati, Endang S. M. Hasbi Ramadhan, M. Hasbi M. Rendy Kurniawan MARWANI Marwani Marwani, Marwani Mauizzatil Rahmayani Mega Fatimah Rosana Mega Tiara Putri Muflika Amini Muhammad Nawawi Muhammad Yanis Muhammad Yanis Ning Eliyati Ning Eliyati Ning Eliyati Ning Eliyati Ning Eliyati Ning Eliyati Ning Elyati Noriszura Ismail Nova Yuliasari Novi R. Dewi Novi Rustiana Dewi Novi Rustiana Dewi Novi Rustiana Dewi Novi Rustiana Dewi Rahmayani, Mau’izatil Ratu Ilma Indra Putri Resnawati Rossi Passarella Saiful Hafizah Jaaman Saputra, M. A. Ade Saputra, M.A. Ade Setyo Cahyono, Endro Shohif Wijaya Sri Kresnawati, Endang Sugandi Yahdin Sugandi Yahdin Titania Jeanni Charissa Widya Ayu Amanda Winoto Chandra Yani, I. Zayanti, Des A. Zulkardi Zulkardi Zulkardi