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Sintesis Grafit Tereksfoliasi Dengan Na2O4 Menggunakan Metode Elektrokimia Santoso, Ricky Anthony; Rosi, Memoria; Andiani, Linahtadiya
eProceedings of Engineering Vol. 10 No. 1 (2023): Februari 2023
Publisher : eProceedings of Engineering

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Abstract

Abstrak-Pada penelitian ini, dilakukan sintesis grafit tereksfoliasi dari batangan isi pensil 2B (grafit). Proses sintesis dilakukan menggunakan larutan garam anorganik Na2SO4 dengan metode elektrokimia. Sintesis grafit tereksfoliasi divariasi berdasarkan konsentrasi Na2SO4. Variasi konsentrasi Na2SO4 yang digunakan adalah 0,05 M; 0,1 M; 0,2 M; 0,3 M; dan 0,4 M. Proses elektrokimia dilakukan dengan tegangan 20 V. Grafit tereksfoliasi yang telah disintesis dikarakterisasi dengan tiga jenis pengukuran, yaitu four 3 point probe, galvanostatic charge 3 discharge, dan cyclic voltammetry untuk menentukan konduktivitas dan nilai kapasitansi spesifik dari grafit tereksfoliasi. Dari hasil karakterisasi tersebut ditunjukan adanya peningkatan konduktivitas dan kapasitansi spesifik sebesar 25,6 uS/m dan 31,8 mF/g saat menggunakan konsentrasi 0,3 M dari sebelumnya yang hanya 4,56 uS/m dan 4,48 mF/g saat menggunakan serbuk batangan isi pensil 2B (grafit). Kata kunci - Grafit Tereksfoliasi, Na2SO4, Elektrokimia
Capacitance Distribution Analysis Using Wire Mesh Sensor 16×16:: A Fluid Detection Case Study in an Industry Exhaust Pipe Andiani, Linahtadiya; Utami, Amaliyah R.I
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 8 No. 2 (2021): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v8i2.4268

Abstract

The Wire Mesh Sensor (WMS) is a tomography-based sensor that generates an image of the free space distribution in multiphase flow. The resulting distribution image can be the capacitance distribution pattern is detected by the electrode, which is dependent on the fluid parameters. Based on the concepts, the system may be an alternative option for the early detection of waterways. The goal of this study is to evaluate the performance of the WMS system in an industrial exhaust pipe. The ability of the system to identify fluids is determined using the capacitance distribution analysis from the WMS measurement. An exhaust pipe is modeled as a cylinder phantom and simulated to visualize the capacitance distribution. The WMS technique is used on a phantom made up of a homogeneous and inhomogeneous medium with changing fluid differences. The capacitance distribution of each fluid in the phantom is different. It is caused by differences in the relative permittivity of each fluid. The performance of the WMS system is evaluated by looking at the capacitance distribution changed as the geometry of the fluid volume varied. Based on the results, the WMS system is shown to be capable of easily distinguishing variations in fluid volume percentage.
Evaluation of the GPS Neo Ublox M8N and Four-Sided Ultrasonic Sensor for Smart Navigation: A Case Study of a Miniature Unmanned Ground Vehicle Andiani, Linahtadiya; Saputra, Casmika; H, Noviana; I, Fauziah; K, Muhammad Fahrul
Jurnal Teknokes Vol. 19 No. 1 (2026): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v19i1.137

Abstract

The rapid advancement of autonomous systems has driven the development of intelligent navigation technologies across various fields, including transportation, robotics, and environmental monitoring. However, many autonomous ground vehicle platforms rely on high-cost sensors and complex system architectures, limiting their accessibility for research and education purposes. To address this challenge, this study proposes a cost-effective miniature Unmanned Ground Vehicle (UGV) integrating a Neo Ublox M8N GPS module with a four-sided ultrasonic sensing system to support real-time navigation and local obstacle awareness. The proposed system combines global positioning data with multi-directional short-range distance detection, processed through a Raspberry Pi and visualized via a web-based platform for real-time monitoring. Experimental testing was conducted under controlled outdoor and indoor conditions to evaluate GPS positioning accuracy, ultrasonic detection performance, and overall system responsiveness. The Neo Ublox M8N module achieved an average positional error of 4.35 m, corresponding to an accuracy of 97.4%, representing an improvement over previous studies using low-cost GPS receivers without algorithmic enhancement. Meanwhile, the ultrasonic sensors demonstrated reliable obstacle detection within a range of 5–70 cm, with an error of less than 1% and stable readings across all four sides of the UGV. The integration of these two sensing modalities demonstrated effective coordination between global and local navigation tasks, enabling real-time path visualization and obstacle awareness. Overall, the findings indicate that the proposed miniature UGV provides a scalable, low-cost platform suitable for research, prototyping, and education applications in autonomous navigation. This work also contributes practical insights for developing intelligent sensing architectures in small-scale robotic systems and highlights opportunities for further enhancements through sensor fusion and autonomous control strategies.