Article Per Year (5 Year)
p-Index From 2021 - 2026
4.967
P-Index
This Author published in this journals
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

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
Learn To be Wise in Making Decision Through Studying Financial Mathematics Ramadhan, M. Hasbi; Zulkardi; Putri, Ratu Ilma Indra; Resti, Yulia
Jurnal Pendidikan Matematika RAFA Vol 10 No 1 (2024): Jurnal Pendidikan Matematika RAFA
Publisher : Program Studi Pendidikan Matematika, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jpmrafa.v10i1.22323

Abstract

In everyday life, we were asked to be careful in making decisions, especially regarding financial matters. This research aimed to design a financial mathematical task to train students to be wiser in making decisions regarding financial matters. The method used in this research was design research with type of development studies. The approach used in this research was Realistic Mathematics Education (RME) or in Indonesia is better known as Pendidikan Matematika Realistik Indonesia (PMRI). For the context, this research used buying a house with credit or banking context. This research was conducted at Vocational High School 01 Jambi City with the subjects were eleventh-grade students with major of accounting. This research produced a financial mathematical task in the context of buying a house that was valid, practical, and has potential effect for financial mathematics learning. The research results also found that students became wiser in making decisions regarding financial matters. This research can also be a reference for vocational high school teachers to make financial mathematics teaching materials.
Ensemble of naive Bayes, decision tree, and random forest to predict air quality Resti, Yulia; Eliyati, Ning; Rahmayani, Mau’izatil; Alwine Zayanti, Des; Sri Kresnawati, Endang; Setyo Cahyono, Endro; Yani, Irsyadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3039-3051

Abstract

Air quality prediction is an important research issue because air quality can affect many areas of life. This study aims to predict air quality using the ensemble method and compare the results with the prediction results using a single method. The proposed ensemble method is built from three singlesupervised methods: naïve Bayes, decision trees, and random forests. The results show that the ensemble method performs better than the single methods. The ensemble method achieves the highest performance with scores of 99.89% accuracy, 79.6% precision, 79.81% recall, and 79.7% F1-score. The performance comparison between single and ensemble models is expected to provide information on the percentage increase in predictive model performance metrics from the single to ensemble methods.
DAMPAK PENGENALAN SOFTWARE GEOGEBRA TERHADAP KEMAMPUAN LITERASI NUMERASI SISWA SEKOLAH MENENGAH ATAS Eliyati, Ning; Resti, Yulia; Zayanti, Des Alwine; Kresnawati, Endang Sri; Andriani, Yuli; Syahbana, Ali; Yani, Irsyadi
Jurnal Lentera Nusantara Vol 3 No 1 (2024): Jurnal Pelita Sriwijaya: in progress
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v3i1.133

Abstract

Pengenalan software Geogebra dalam pembelajaran matematika di sekolah menengah memungkinkan untuk mendukung kemampuan literasi numerasi mereka. Pada kegiatan ini Geogebra dikenalkan kepada siswa-siswa SMA-SMK Kartini Palembang. Penguasaan tentang konsep dasar matematika seperti sudut, garis sejajar, garis tegak lurus, garis singgung, lingkaran, persamaan, pertidaksamaan, dan fungsi merupakan pondasi dalam mempelajari materi lebih lanjut guna menunjang kemampuan litersi numerasi. Selanjutnya pengayaan diberikan kepada khalayak sasaran dengan mengenalkan Geogebra. Uji beda rata-rata kedua kelompok nilai pra-test dan post-test dengan tingkat signifikansi 5 % menunjukkan bahwa kedua kelompok memiliki perbedaan yang signifikan. Hasil ini juga menginfomasikan bahwa rata-rata nilai post-test belum secara signifikan mengalami peningkatan. Peningkatan kemampuan literasi dan numerasi khalayak sasaran belum cukup memuaskan. Hasil rata-rata post-test yang mencapai nilai 70.80 dari semua peserta/khalayak sasaran juga menunjukkan bahwa kriteria dan indikator pencapaian tujuan yaitu lebih dari 80% khalayak sasaran berhasil mengerjakan semua soal pada post-tes, namun rata-rata hasil tes khalayak sasaran lebih dari 80 belum tercapai. Artinya kegiatan sejenis perlu lebih banyak lagi diadakan di sekolah tersebut.
The Higher Level Assignment of Financial Mathematics: How to Design it? Ramadhan, M. Hasbi; Zulkardi, Zulkardi; Putri, Ratu Ilma Indra; Resti, Yulia
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 1 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i1.733

Abstract

This research aimed to design financial mathematics assignment based on Pendidikan Matematika Realistik Indonesia (PMRI) approach and de Lange's theory to get validity, practicality, and effects of potential. In designing, we also consider the fundamental characteristics of financial mathematics including relevance, representational faithfulness, verifiability, timeliness, understandability, and comparability. We used development studies on design research method. This research was conducted at Vocational High School (VHS) 1 Jambi City in XI grade of Accounting Major. We collected the data through documentation, observation, interview, and tests. As a result, this research products the higher level assignment of financial mathematics based on PMRI approach and de Lange theory that is valid, practical, and have potential effects with consider the fundamental characteristics of financial mathematics. The results of research also found that, students became more understanding in financial activities. Moreover, it also can be used as a consideration to VHS for designing financial mathematics assignments.
Which is better between gold and its share? A context for designing a financial mathematical task Ramadhan, M. Hasbi; Zulkardi; Putri, Ratu Ilma Indra; Resti, Yulia
Journal on Mathematics Education Vol. 15 No. 4 (2024): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jme.v15i4.pp1115-1130

Abstract

Financial mathematics is a crucial discipline for students, mainly when taught using real-life contexts such as gold and its share. It can help students develop practical solutions to financial problems. This study aimed to design a financial mathematics task for Vocational High Schools (VHS) that is valid, practical, and demonstrates potential effects utilizing the Pendidikan Matematika Realistik Indonesia (PMRI) approach in the context of gold and its share. The research employed a design research methodology, specifically a development study involving two primary phases: preliminary and formative evaluation. The latter included multiple stages of prototype development, beginning with self-evaluation, then expert review, one-on-one sessions, small group trials, and culminating in a field test. The study was conducted with 44 eleventh-grade accounting students at VHS 1 Jambi City, consisting of 3 students for the one-to-one phase, 6 for the small group phase, and 35 for the field test phase. Data were collected through tests, interviews, documentation, and observations. The findings indicate that the financial mathematics task designed using the PMRI approach, contextualized in gold and its share, was valid, practical, and positively impacted student learning. Students not only developed a deeper understanding of real-world financial issues but also enhanced their decision-making abilities in financial contexts. Additionally, teachers expressed a greater willingness to adopt the PMRI approach in their instruction, suggesting that this context can effectively support the teaching of financial mathematics in vocational high schools.
Designing a Financial Mathematical Task for Vocational High School Using Saving and Stock Context Ramadhan, M. Hasbi; Zulkardi; Putri, Ratu Ilma Indra; Resti, Yulia
Mathematics Education Journal Vol. 18 No. 2 (2024): Jurnal Pendidikan Matematika
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jpm.v18i2.pp149-162

Abstract

In daily life, banks usually not only offer their saving programs but also their stocks. This research focuses on designing a financial mathematical task for vocational high school (VHS) which is valid, practical, and has potential effects using saving and stock context. Pendidikan Matematika Realistik Indonesia (PMRI) is the approach used in this research. For the method, we used design research with a type of development studies. This research was conducted at VHS 1 at Jambi City with research subjects were the eleventh-grade students of accounting major. This research produces three financial mathematical tasks with the context of saving and stock. The results of research also found that by using saving and stock context, students became more understanding of real-world problems and wise in making decisions regarding financial problems. This research can also be used as a reference for financial mathematics teaching materials, especially for vocational high school teachers.
Ensemble Method of Multiple Decision Trees with Crisp and Fuzzy Discretization for Axial Surface Roughness Prediction Resti, Yulia; Yani, Irsyadi; Puspitasari, Dewi; Thamrin, Ismail; Saputra, M.A. Ade
Science and Technology Indonesia Vol. 10 No. 3 (2025): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.3.678-689

Abstract

AISI 1045 is a steel used to make engine components for motor vehicles and aircraft. The quality of AISI 1045 is influenced by its surface roughness, both axial and tangential. The prediction of AISI 1045 surface roughness aims to produce quality products in a shorter time and at a lower cost. The axial surface roughness is in the form of certain grades according to ISO. This method is a prediction technique that combines several single prediction models to obtain better prediction results. In this work, the ensemble method is built using a voting system from an odd number of single prediction models of the decision trees. The proposed Single Model consists of one decision tree model with crisp discretization (DT1) and three models with fuzzy discretization (DT2, DT3, and DT4). The research data were obtained through experiments measuring the axial surface roughness of AISI 1045 steel using a wet machining system by considering cutting speed, feed motion, axial depth of cut, and tangential surface roughness. The study’s results indicate that not all proposed ensemble models are built to have better performance than single prediction models. Of the four proposed single prediction models, only one model has an accuracy above 80%, namely the decision tree model with fuzzy discretization using a combination of linear-trapezoidal fuzzy membership functions (DT4 model). The model performance based on accuracy, recall, precision, F1-score, and AUC is 80.73%, 48.53%, 73.47%, 58.44%, and 67.72%, respectively. For the four ensemble models formed from the combination of three Single decision tree models, only the combination of DT1, DT2, and DT3 does not perform better than the Single model. The other three ensemble methods have better accuracy, recall, and AUC than the performance of all proposed Single models with values of 81.33 - 82.67%, 51.62 - 55.19%, and 69.04 - 71.02%, respectively.
The Symmetric Pattern Fuzzy Discretizationin Predicting Plastic Type for a Sorting System Using Decision Tree Methods Yani, Irsyadi; Marwani; Puspitasari, Dewi; Resti, Yulia
Science and Technology Indonesia Vol. 10 No. 3 (2025): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.3.789-801

Abstract

Plastics made from petroleum as the main ingredient cannot decompose quickly like organic materials, but rather take 500 years to 1000 years. Recycling plastic waste can significantly reduce the negative impacts that damage the environment. In addition, it can also reduce the use of natural resources as raw materials and energy use in the extraction process from mining to ready-for-use. In the process of recycling plastic bottle waste in industry, a sorting system is needed to sort the types of plastic bottle waste automatically, effectively, and efficiently. The system needs a prediction model with satisfactory performance. This research aims to build the prediction models of a plastic bottle waste sorting system with a fuzzy approach using the Decision Tree method. The main focus is fuzzy discretization with asymmetric pattern where the membership functions for the first and the last categories are balanced. Seven Decision Tree models are proposed in this study, six models with symmetric fuzzy discretization and one model with crisp discretization as a comparison. Three types of plastics are the objects of the study, namely Polyethylene Terephthalate (PET/PETE), High-Density Polyethylene (HDPE), and Polypropylene (PP). All three are types of plastics that are widely found in household waste. The unique contribution of this paper is that the symmetric pattern fuzzy discretization in the decision tree method can improve the performance of the decision tree model, but the combination of fuzzy membership functions used also contributes. Not all combinations used can improve the performance of the prediction model. Four of six models of symmetric fuzzy discretization have better performance than the decision tree model with crisp discretization. The combination of fuzzy membership functions consisting of linear and triangular functions provides the highest performance. Two models that do not perform better than crisp discretization are the linear-trapezoidal combination and the linear-Gaussian combination.
Comparing the performance of DTID3 and DTID3-Smote methods in predicting the rain events with unbalanced classes Zayanti, Des A.; Eliyati, Ning; Resti, Yulia; Hoiri, Sajiril; Kresnawati, Endang S.; Dewi, Novi R.; Amran, Ali; Yani, Irsyadi
Bulletin of Applied Mathematics and Mathematics Education Vol. 5 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v5i1.13122

Abstract

Prediction of rainfall events in a region is important for many aspects of life. However, the majority of datasets that predict rainfall events have an unbalanced distribution of observations in their classes, including the Prabumulih city dataset, South Sumatra. DTID3 provides very satisfactory performance in many cases of prediction, while the Smote technique is useful for balancing the distribution of data classes.  This study aims to compare the performance of the DTID3 and DTID3-Smote methods in predicting rainfall events in Prabumulih City.  The main contribution of this study compared to previous studies is that the DTID3 and Smote methods are used together to predict rainfall events, especially in Prabumulih City. Using training data from 2017-2022 and test data from 2023, the results show that the DTID3-Smote method has a better performance measure than the decision tree method in predicting rainfall events in Prabumulih City. In the decision tree method, the accuracy, precision, recall, specificity, and f1-score metrics are 73.56%, 81.91%, 50.94%, 91.22%, and 62.81%, respectively. In the decision tree-SMOTE method, the values ​​are respectively 74.66%, 82.61%, 53.44%, 91.22%, and 64.9%.
SOSIALISASI PENTINGNYA PENERAPAN KESELAMATAN, KESEHATAN KERJA DAN LINGKUNGAN (K3L) DI INDUSTRI KECIL MESIN PERKAKAS Yanis, Muhammad; Mohruni, Amrifan Saladin; Basri, Hasan; Firdaus, Aneka; Yani, Irsyadi; Saputra, M. A. Ade; Adanta, Dendy; Resti, Yulia; Yuliasari, Nova; Sari, Dewi Puspita; Teguh Prakoso, Akbar
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.v4i1.179

Abstract

Keselamatan, Kesehatan Kerja dan Lingkungan (K3L) merupakan faktor penting dalam menciptakan tempat kerja yang aman, produktif, dan ramah lingkungan. Penerapan K3L di industri kecil mesin perkakas masih sering terabaikan karena kurangnya pemahaman terhadap risiko akibat kerja dan dampak lingkungan. Kegiatan pengabdian ini melakukan sosialisasi pentingnya penerapan K3L bagi pelaku usaha kecil mesin perkakas. Metode kegiatan meliputi pemaparan materi, diskusi-tanya jawab dan evaluasi serta hibah APD. Tempat kegiatan di bengkel las dan bubut Tris yang berada di Kelurahan Kebun Bunga Palembang. Kegiatan sosialisasi menunjukkan peningkatan pemahaman dan kesadaran bahaya di tempat kerja, pentingnya penggunaan APD, dan pengelolaan limbah yang bertanggung jawab. Dari semua materi yang disampaikan, terjadi peningkatan pemahaman rata-rata sebesar 33.3%. Sosialisasi dapat meningkatkan kesadaran K3L secara signifikan, namun agar penerapan secara konsisten maka perlu program lebih berdampak seperti pendampingan dan dukungan berkelanjutan.
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 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 Irsyadi Yani Ismail Thamrin Ismail Thamrin Jeremy Firdaus Latif Kresnawati, Endang S. M. Hasbi Ramadhan, M. Hasbi M. Rendy Kurniawan MARWANI Marwani Marwani, Marwani Mauizzatil Rahmayani 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 Teguh Prakoso, Akbar Titania Jeanni Charissa Widya Ayu Amanda Winoto Chandra Yani, I. Yuli Andriani Zayanti, Des A. Zulkardi Zulkardi Zulkardi Zulkarnain Zulkarnain