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Design Analysis of Microstrip Rectangular Patch Array Antenna 16×1 on X-band Radar Rahayu, Soni Aulia; Suryana, Joko; Tursilowati, Laras; -, Halimurrahman; Nugroho, Ginaldi Ari
Jurnal Elektronika dan Telekomunikasi Vol 19, No 1 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.7-12

Abstract

Radar has been widely used for various purposes such as monitoring atmospheric precipitation. For that purpose, it gives more accurate results than satellites do. Previous research has developed navigation radar that alters its functions into an atmospheric precipitation monitoring radar. To improve the development of the radar, an antenna system will be developed in this research. The purpose of developing this antenna is to obtain better data reception results. This antenna is a microstrip rectangular array antenna that works on X-band with a frequency of 9.41 GHz. Microstrip antenna is chosen since it has several advantages such as small dimensions and relatively low costs. The designed antenna gain ? 12 dB, bandwidth of 60 MHz, and horizontal polarization. Antenna fabrication produces a microstrip rectangular 16 x 1 array antenna using the mitered bend method at a frequency of 9.4 GHz with a reflection coefficient of -22.8 dB, VSWR of 1.2, gain of 13.21 dB, unidirectional radiation patterns and horizontal polarization.
Peningkatan Kreativitas dan Pemahaman Siswa tentang Energi Terbarukan Melalui Perakitan Mobil Mainan Bertenaga Surya di SMP Baitul Hikmah Ikhsan, Akhmad Fauzi; Nurpalah, Rifki; Nugroho, Ginaldi Ari; Sopian, Sani Moch; Wardani, Sekar Ayu Kusuma
Educatio Vol 20 No 1 (2025): Educatio: Jurnal Ilmu Kependidikan
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edc.v20i1.29853

Abstract

This activity was organized with the aim of introducing the concept of renewable energy, particularly solar energy, to students of SMP Baitul Hikmah through the assembly of solar-powered toy cars. The program was designed to raise students' awareness of the importance of environmentally friendly energy while also enhancing their critical thinking skills and creativity in applying theory to practice. Throughout the activity, students actively participated in the assembly process and encountered various technical challenges that encouraged them to find solutions independently. As a result, the activity demonstrated an improvement in students' understanding of solar energy as well as the development of their creativity in completing assigned tasks.
Enhancing Binary Classification Performance in Biomedical Datasets: Regularized ELM with SMOTE and Quantile Transforms Focused on Breast Cancer Analysis Aina, Brilliant Friezka; Kallista, Meta; Wibawa, Ig. Prasetya Dwi; Nugroho, Ginaldi Ari; Meiska, Ivana; Naf’an, Syifa Melinda
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 9, No 2 (2024): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v9i2.28785

Abstract

Using microarray datasets, this research investigation addresses the problem of unbalanced data in binary classification tasks. The objective is to increase classification performance by adding Extreme Learning Machine (ELM) regularization, as well as Synthetic Minority Over-sampling Technique (SMOTE) for data over-sampling and Quantile Transformer for data scaling. The study began with gathering important biological datasets from reputable sources such as UCI and Kaggle, including Pima Indian Diabetes, Heart Disease, and Wisconsin Breast Cancer. SMOTE was employed to solve the difficulty of data imbalance in the preparation of the dataset. The data was then separated into training (80%) and testing (20%) sets before being scaled using Quantile Transformation. To boost accuracy, ELMs were employed with an emphasis on introducing regularization techniques. Quantile Transforms are used to generate a Gaussian or uniform probability distribution from numerical input variables. Regularized ELM (R-ELM) surpasses ELM in terms of AUC, despite ELM's faster calculation time. The final selection of the regularization parameter (C) in R-ELM influences the model's performance and calculation time. Overall, R-ELM with SMOTE produces encouraging results when it comes to effectively categorizing biological dataset properties. A subsequent investigation and validation of additional datasets, however, are necessary to establish its generalizability and robustness.
EDUKASI OTOMATISASI DAN ROBOTIKA DENGAN DEMONSTRASI DALAM KEGIATAN PENGABDIAN MASYARAKAT DI MTSN 1 GARUT Wiharso, Tri arif; Iksan, Akhmad Fauzi; Nurpadillah, Sifa; Nugroho, Ginaldi Ari; Sugandi, Gandi; Agnia, Raza; Khoirul, Ahmad; Fauzan, Sadam; Heryanto, Beni
Jurnal Abdi Insani Vol 12 No 9 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i9.2817

Abstract

The development of technology in the era of the Industrial Revolution 4.0 requires an increase in technological literacy from an early age, including at the junior high school level (SMP). One way to introduce the concept of technology is through automation and robotics education. Based on this, the lecturer and student team from the Electrical Engineering Study Program at the Faculty of Engineering, Garut University, conducted community service activities in the form of education and robotics awareness to 8 MTsN 1 Garut students on May 24, 2025, with a total of 69 participants. The purpose of this activity is to foster interest, insight, and basic understanding of students about the automation system and robotics technology. The method of implementing the activity consists of the delivery of automation and robotics materials, question and answer sessions, and demonstrations of tools in the form of Line Follower robot, robot soccer, and heavy monitoring and sheep height. The results showed high levels of student participation and enthusiasm. Students look active in asking questions and trying to run robots directly. The evaluation was carried out with a satisfaction questionnaire, which showed positive results: satisfaction with the relevance of the topic of 77.33%, how to deliver 80%resource persons, the implementation of activities 78.67%, and the benefits of activities 85.33%. It can be concluded that this educational activity can increase student awareness and interest in automation and robotics technology, and can be applied to become an effective and fun Stem learning model at the junior high school level.