Article Per Year (5 Year)
p-Index From 2021 - 2026
1.776
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI BISNIS Indonesian Journal of Chemical Science Jurnal Sains Dan Teknologi (SAINTEKBU) Jurnal E-Komtek Jurnal Ilmu Keperawatan dan Kebidanan Curtina Jurnal ilmiah teknologi informasi Asia
Aris Wijayanti
Universitas PGRI Ronggolawe, Tuban
Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Library & Information Science Nursing

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Implementation of Feature Selection to Improve the Accuracy of Gender Classification Based on Voice Data with Random Forest Suhardiyanto, Suhardiyanto; Amaluddin, Fitroh; Wijayanti, Aris
Jurnal Ilmiah Teknologi Informasi Asia Vol 20 No 1 (2026): Volume 20 Issue 1 2026 (In Progress)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v20i1.1204

Abstract

Voice-based gender recognition has gained increasing importance in biometrics, security, forensics, and human–computer interaction. While humans can easily distinguish male and female voices, automatic classification remains challenging due to variability and high-dimensional acoustic data. This study investigates the role of feature selection in enhancing the performance and efficiency of Random Forest for gender classification. The dataset, obtained from Kaggle, consists of 3,168 balanced voice samples with 23 acoustic features. Using Pearson’s correlation analysis, five features with the strongest associations to the target variable were selected. Random Forest classification was then conducted using both the full set of 22 features and the reduced set of 5 features. Results suggest that although the accuracy gain was marginal (98% to 99%), computation time decreased substantially from 0.3 to 0.1 seconds, representing a 66% efficiency improvement. These findings suggest that lightweight correlation-based feature selection can simplify models and enable faster real-time applications without compromising predictive performance. The study emphasizes efficiency rather than accuracy as the main contribution, providing a methodological insight for designing scalable and inclusive voice-based gender recognition systems.
Implementing the Internet of Things in a Web-Based Air Pollution Detection System using NodeMCU Afifuddiin, Mohammad; Wijayanti, Aris; Arifia, Amaludin
SAINTEKBU Vol. 17 No. 01 (2025): Vol. 17 (01) January 2025
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v17i01.5612

Abstract

Air pollution is one of the factors that causes health problems. Air pollution can be caused by several factors, two of which are natural factors and human factors. Plumpang District is one of the areas in Tuban Regency where there are many mining and industrial activities, especially limestone processing. Of course, this will cause an increase in the production of pollutant gases that are harmful to the body, one of which is carbon monoxide (CO). The use of the Internet of Things (IoT), microcontrollers, and sensors is expected to create a real-time air pollution monitoring tool. In this study, the MQ-7 sensor was used to detect carbon monoxide gas, and NodeMCU was used as a means of processing data to send data to the database. And later the information from the sensor readings will be displayed on the website page. The results of this study have succeeded in creating a real-time air pollution monitoring system which can then be developed to monitor air pollution itself.
Co-Authors Afifuddiin, Mohammad Andik Adi Suryanto Andriyani, Rizka Eki Arifia, Amaludin Asfan Muqtadir Cepi Kurniawan Eko Budi Susatyo Farida, Ihda Maulidia Nurul Farkhan, Muhamad Farir Fitroh Amaluddin Johan, Bella Morita Mardiana, Sri Siska Suhardiyanto Suhardiyanto, Suhardiyanto Sukarjo Sukarjo, Sukarjo Suryono Suryono Teguh Setiadi Yulisetyaningrum