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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Journal of Mathematics Technology and Education JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
Herawati, Elvina
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Pengaruh Pendapatan Perkapita, Jumlah Penduduk Bekerja dan Jumlah Jenis Pajak Daerah terhadap Penerimaan Pajak Daerah pada Kabupaten/Kota Provinsi Kalimantan Herawati, Elvina; Saipudin, Saipudin
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol 6, No 2 (2023)
Publisher : PPJP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v6i2.11006

Abstract

This research aimed to determine the effect of Per-capita Income, Total Working Population, and Number of Types of Local Taxes on Local Tax Revenues. This research is a quantitative study, and the analysis technique used is multiple linear regression with the ordinary least squares (OLS) method. The data used in the study were from the Central Statistics Agency of South Kalimantan and the Directorate General of Fiscal Balance 2011 – 2018. The results of the study with the best model FEM show that simultaneously Per-capita Income, Total Working Population, and Number of Types of Local Taxes have a significant effect on Local Tax Revenues.
Development of The Steepest Descent Method for Unconstrained Optimization of Nonlinear Function Evada, Zakiah; Tulus; Herawati, Elvina
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11596

Abstract

The q-gradient method used a Yuan step size for odd steps, and geometric recursion as an even step size (q-GY). This study aimed to accelerate convergence to a minimum point by minimizing the number of iterations, by dilating the parameter q to the independent variable and then comparing the results with three algorithms namely, the classical steepest descent (SD) method, steepest descent method with Yuan Steps (SDY), and q-gradient method with geometric recursion (q-G). The numerical results were presented in tables and graphs. The study used Rosenbrock function f(x)=〖(1-x_1)〗^2+100〖(x_2-〖x_1〗^2)〗^2 and determined μ=1,σ_0=0.5,β=0.999, the starting point (x_0) with a uniform distribution on the interval x_0= (-2.048, 2.048) in R^2, with 49 starting points (x_0) executed using the Python online compiler on a 64bit core i3 laptop. The maximum number of iterations was 58,679. Using tolerance limits as stopping criteria is 10-4 and the inequality 〖f(x〗^*)>f to get numerical results. q-GY method down ward movement towards the minimum point was better than the SD and SDY methods while the numerical results of the Rosenbrock function showed good enough performance to increase convergence to the minimum point
Fixed Point of Contractive Mappings in Cone Metric Space: Titik Tetap dari Fungsi Kontraktif pada Ruang Metrik Cone Sitorus, Clara Magdalena; Herawati, Elvina
Journal of Mathematics Technology and Education Vol. 1 No. 3 (2022): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jomte.v1i3.9766

Abstract

The concept of a fixed point of a function is closely related to the abstract space of the function it is in, one of which is the cone metric space which is a generalization of the metric space and which was first introduced by Zhang and Huang in 2007. The cone metric space is any non-empty set that with cone metric function. The cone metric function has the domain of any non-empty set and has the codomain of an ordered Banach space. The purpose of this study is to recognize the concept of the cone metric space and its relation to the metric space, as well as to examine the fixed point theorem on the cone metric space.
Pengaruh Pendapatan Perkapita, Jumlah Penduduk Bekerja dan Jumlah Jenis Pajak Daerah terhadap Penerimaan Pajak Daerah pada Kabupaten/Kota Provinsi Kalimantan Herawati, Elvina; Saipudin
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aimed to determine the effect of Per-capita Income, Total Working Population, and Number of Types of Local Taxes on Local Tax Revenues. This research is a quantitative study, and the analysis technique used is multiple linear regression with the ordinary least squares (OLS) method. The data used in the study were from the Central Statistics Agency of South Kalimantan and the Directorate General of Fiscal Balance 2011 – 2018. The results of the study with the best model FEM show that simultaneously Per-capita Income, Total Working Population, and Number of Types of Local Taxes have a significant effect on Local Tax Revenues.
Hybrid Genetic Algorithm for Dynamic Portfolio Optimization Problems Nufus, Sarah Ayatun; Sutarman, Sutarman; Herawati, Elvina
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 3 (2025): Article Research July 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i3.14868

Abstract

Dynamic portfolio optimization is a complex problem due to continuous changes in market conditions, demanding algorithms capable of effective adaptation. Genetic Algorithms (GA) are often used for optimization problems but may face limitations in convergence speed and solution precision. This research aims to develop and evaluate a Hybrid Genetic Algorithm (HGA) that integrates GA with the Hill Climbing local search method, and to compare its performance against standard GA in solving dynamic portfolio optimization problems with the objective of maximizing the Sharpe Ratio. A series of simulation-based experiments were conducted by varying key algorithmic and dynamic environment parameters. Simulation results indicate that HGA generally has significant potential to improve performance compared to standard GA. Consistently, HGA successfully achieved superior solution quality, both in terms of Offline Performance Solution Quality and Overall Best Fitness. Regarding robustness to dynamic changes, HGA also demonstrated a smaller impact from performance degradation and a more promising recovery capability after market environment changes. Although HGA's superiority in convergence speed is not always absolute and the implementation of Hill Climbing adds to the computational time per generation, the improvement in solution quality and robustness offered in many configurations can be considered a worthwhile trade-off, especially for complex dynamic portfolio optimization problems. These findings support the hypo that hybridizing GA with local search can provide a positive contribution, noting that careful parameter tuning is crucial for maximizing HGA's potential.
Teaching Digital Archives Management Using Google Sites, Google Drive, and Gmail Herawati, Elvina; Suwilo, Saib; Mawengkang, Herman; Syahmrani, Aghni
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i2.10444

Abstract

Study plans, study modules, practice questions and exams from teachers, results of student exercises and exams, photos and videos of teaching activities, and other teaching files for each subject are teaching data that can be used to obtain quality education. However, some of the data is not documented by Partners in a systematic and comprehensive manner. If the data is physically collected, it will require a repository for the data, so it will take time to organize the warehouse, search for files, and provide files to teachers or students who need the files. To keep teaching data collected without using physical storage warehouses, digital archiving can be used. Google Sites, Google Drive, and Gmail can be used to build digital archives. The USU Mathematics Master’s Program team plans to build a site through Google Sites to archive digital files and to display digital archives that are stored on Google Drive and which can be submitted via Gmail online. In addition, the Team also provides training for Partners to build and develop sites on Google Sites and perform digital archive management on Google Drive and integrate Google Sites and Google Drive with Gmail.
Optimizing Digital Learning Based Learning as a Learning Media of Today with Enhanced Microsoft Office Softskill at SMAS Husni Thamrin Herawati, Elvina; Mahyuddin; Sutarman; Sawaluddin; Erwin; Marpaung, Jonathan Liviera
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i2.15421

Abstract

Education has had a substantial metamorphosis in the current age of computers and the Internet. The adoption of digital learning technology represents a significant paradigm shift. Schools should optimize the utilization of this technology to enhance learning results. The field of education is seeing significant transformations in the current era of information and technology. Global educational institutions are increasingly using digital-centric learning methods to stay abreast with contemporary advancements. Enhancing the efficiency of technology-driven education in educational institutions is a crucial measure in equipping upcoming generations for the future. The primary advantage of digital learning is its inherent flexibility, since it enables students to access educational resources at their convenience and from any location. This allows them to tailor their learning experience to their individual pace and preferred methods of learning. It aids in surmounting the temporal and spatial limitations associated with traditional education. Furthermore, digital learning facilitates the utilization of a diverse range of educational resources. Students can enhance their comprehension of ideas by utilizing simulations, films, and other interactive materials. The Mathematics Teachers Team at USU organized a Microsoft Excel training session at Husni Thamrin SMAS with the objective of enhancing the teaching and learning paradigm for teachers in schools.
Co-Authors Erwin Evada, Zakiah Herman Mawengkang Jonathan Liviera Marpaung Mahyuddin Nufus, Sarah Ayatun Saib Suwilo Saipudin Saipudin, Saipudin Sawaluddin Sitorus, Clara Magdalena Sutarman Sutarman Sutarman Syahmrani, Aghni Tulus