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All Journal JURNAL ADMINISTRASI PUBLIK Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Journal of the Indonesian Mathematical Society BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL PENDIDIKAN TAMBUSAI Jambura Journal of Mathematics Jurnal Matematika UNAND Unri Conference Series: Community Engagement Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Journal of Fundamental Mathematics and Applications (JFMA) Jurnal Ragam Pengabdian Jurnal Cendekia Ilmiah SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Ayunda Putri
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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A NEW THREE- STEP DERIVATIVE FREE ITERATIVE METHOD AND ITS DYNAMICS Syamsudhuha, Syamsudhuha; Imran, M; Putri, Ayunda; Deswita, Leli; Amelia, Riski
Journal of the Indonesian Mathematical Society Vol. 30 No. 3 (2024): NOVEMBER
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.30.3.1533.361-373

Abstract

A new free derivative iterative method is presented in this article. The method is developed by combining Newton’s method and Euler’s method. Deriva- tives in this method are approximated by forward difference, hyperbola and divided difference. The order of convergence is proven analytically to be of sixth order. Numerical results exhibit that the new method is comparable to other methods. Basins of attraction are also provided to support the proposed method.
A New Second Derivative Free Iterative Method of Fifth Order of Convergence and Its Applications Putri, Ayunda; M, Imran
Jurnal Matematika UNAND Vol. 12 No. 4 (2023)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.12.4.283-292.2023

Abstract

The primary objective of this article is to derive a new free from second derivative iterative method for solving nonlinear equations. The proposed method is proven to have fifth order of convergence. Comparisons with other iterative methods represent the advantage of the modified method. Observation on applications of the method in problem of chemical equilibrium , binary azeotropic problem, volume from van der Waals equations and eccentric anomaly in Kepler's law exhibits that our method is applicable and preferable.
The Influence Of Job Satisfaction, Perceived Organizational Support, And Work-Life Balance On Turnover Intention Through The Mediation Of Organizational Commitment Putri, Ayunda; Wicaksana, Harits Hijrah
J-CEKI : Jurnal Cendekia Ilmiah Vol. 5 No. 2: Februari 2026
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v5i2.12795

Abstract

The rising phenomenon of employee turnover has become a serious concern for organizations, as it negatively affects productivity, employee morale, and the continuity of business operations. This study aims to analyze the effect of job satisfaction, perceived organizational support, and work-life balance on turnover intention, with organizational commitment as a mediating variable. A quantitative approach was employed using stratified random sampling, involving 210 permanent employees at PT Jembo Cable Company Tbk. Data were analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method with SmartPLS software. The results indicate that job satisfaction and work-life balance have a positive influence on organizational commitment, while perceived organizational support does not show a significant effect. Organizational commitment was proven to reduce turnover intention and mediate the relationship between job satisfaction and work-life balance with turnover intention. However, the relationship between perceived organizational support and turnover intention is not mediated by organizational commitment, and its direct effect on turnover intention does not align with the hypothesized direction. These findings highlight that enhancing job satisfaction and work-life balance is essential for strengthening employee commitment to the organization, thereby reducing turnover intention more effectively and sustainably.
A Four-Step High-Order Iterative Method for Nonlinear Equations with Scientific Applications Putra, Supriadi; Putri, Ayunda; Zulkarnain, Zulkarnain; Marjulisa, Rike; Novita, Devi
Jambura Journal of Mathematics Vol 8, No 1: February 2026
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v8i1.35161

Abstract

In this paper, we propose a new four-step iterative method for solving nonlinear equations based on a predictor–corrector framework that combines Newton’s, Ostrowski’s, and Householder’s methods. To avoid explicit evaluation of higher derivatives, particularly the second derivative, polynomial interpolation is employed to approximate derivative information in the higher-order step, while retaining first-derivative evaluations where required. The resulting scheme attains an optimal convergence order of fourteen using six function evaluations per iteration. Numerical experiments on several benchmark functions and two classical application problems, namely the computation of libration points and a Fibonacci-type root-finding problem, demonstrate improved accuracy and robust convergence behavior. In the reported tests, the method achieves the expected computational order of convergence and typically converges within a small number of iterations. The convergence properties are further examined through residual errors, step differences, and the observed computational order of convergence.
Prediksi Keberhasilan Akademik Siswa Berbasis Fitur Kategorikal Na-tive dengan Explainable AI (SHAP) menggunakan CatBoost vs LightGBM Anugerah Putra, Bayu; Soni, Soni; Firdaus, Rahmad; Putri, Ayunda; Dwi Sanggar Wati, Anisa
JURNAL FASILKOM Vol. 16 No. 2 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i2.12360

Abstract

Prediction of students academic success is important to support decision-making in education. Educational datasets are generally dominated by categorical variables that require encoding before modeling, which may cause information loss and reduce accuracy. This study applies the CatBoost algorithm, which processes categorical variables natively without additional encoding, to predict students' Exam Score on the Student Performance Factors dataset from Kaggle, with LightGBM used as a comparison model. Evaluation was carried out under three data-split schemes (70:30, 80:20, 90:10) using k-fold cross-validation and three regression metrics (R², MAE, RMSE), followed by model interpretation using Shapley Additive Explanations (SHAP). The results show that CatBoost consistently outperforms LightGBM across all schemes, with the best performance obtained under the 90:10 scheme (CatBoost: R² = 0.851, MAE = 0.475, RMSE = 1.414; LightGBM: R² = 0.809, MAE = 0.758, RMSE = 1.599). SHAP analysis identifies Attendance, Hours_Studied, and Previous_Scores as the most influential features in the prediction. These findings confirm that combining CatBoost with SHAP produces an academic prediction model that is both accurate and transparen.
Internet of Things Based Detection System for Pencak Silat PSHT Basic Technique Movements Using the Support Vector Machine Method Putri, Ayunda; Yunizar, Zara; Fikri, Muhammad; Fadlisyah; Al Kautsar Aidilof, Hafiz
Jurnal Ragam Pengabdian Vol. 3 No. 2 (2026): Mei-Agustus, Sustainable Development Goals (SDGs): Multidisciplinary Perspectiv
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/j3rq4t73

Abstract

The utilization of technology in sports has become a crucial need to enhance modern coaching efficiency. In pencak silat, particularly within Persaudaraan Setia Hati Terate (PSHT), accurate mastery of basic techniques is essential. However, when students practice independently without supervision, they often struggle to ensure correct hand movements, lowering training quality and increasing injury risks. As a solution, this study develops a real-time, Internet of Things (IoT)-based hand movement monitoring system using Inertial Measurement Unit (IMU) sensors. The sensor data is processed via a Machine Learning approach utilizing a 7-SVM Pipeline architecture. The Support Vector Machine (SVM) algorithm is applied to Model 0 (Movement Classifier) for movement classification, and Models 1–6 (Correctness Classifier) to evaluate quality into "Correct" or "Incorrect". The model is tested using the Leave-One-Subject-Out (LOSO) Cross-Validation method. Results show that Model 0 recognizes movement types with a 63.3% accuracy on unseen subjects. Meanwhile, the correctness models yield varying results; the highest achievement reaches 100% for the Left Jab, whereas the lowest is 55% for the Right Combination due to subjects' biomechanical variations. The results are displayed on a website dashboard as an objective companion tool for independent training while supporting digitalization in preserving pencak silat culture.  
Co-Authors ', Aziskhan Adhibbusholeh, Adhibbusholeh Al Kautsar Aidilof, Hafiz Andika, Afdal Rio Arwana, Muhammad Reza Atsyari, Salma Al Aulia, Suty Bayu Anugerah Putra Damila, Miesie Sasikirana Dewitry, Fidella Dicky Efendi Dwi Sanggar Wati, Anisa Elsi Fitria Fadila, Restu Fadlisyah FLORENCE DAICY LENGKONG Hidayat, Mario Huda, Syariful Imran M. Irawan, Via Mustika IRSAN TAUFIK ALI Khoiri, Ikhlasul Leli Deswita M. Imran Maulana, Muhammad Aryadi Melina, Putri Muhammad Fikry Musraini M Neng Murialti, Neng Nissa, Kathzri Ghairi Novita, Devi Octoverland, Arveri Oki Rasdana Purba, Dea Natalia Rahmad Firdaus Rike Marjulisa Riski Amelia, Riski Salsabila, Dea Setiawan, Alfani Sihombing, Deva Ulina Sinambela, Ilmi Suciani Soni Soni, Soni Sri Gemawati Supriadi Putra Syamsudhuha Syamsudhuha Uvaira , Padila VERY LONDA Wicaksana, Harits Hijrah Zara Yunizar Zulkarnain Zulkarnain