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Contact Name
Seno Darmawan Panjaitan
Contact Email
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Phone
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Journal Mail Official
jurnal.elkha@untan.ac.id
Editorial Address
Department of Electrical Engineering, Faculty of Engineering, Universitas Tanjungpura, Jl. Prof. Dr. Hadari Nawawi, Pontianak 78124
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Kota pontianak,
Kalimantan barat
INDONESIA
ELKHA : Jurnal Teknik Elektro
ISSN : 18581463     EISSN : 25806807     DOI : http://dx.doi.org/10.26418
The ELKHA publishes high-quality scientific journals related to Electrical and Computer Engineering and is associated with FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia / Indonesian Electrical Engineering Higher Education Forum). The scope of this journal covers the theory development, design and applications on Automatic Control, Electronics, Power and Energy Systems, Telecommunication, Informatics, and Industrial Engineering.
Articles 313 Documents
Design and Implementation of Voice Control System for Mecanum Robot Using Whisper and Albert Pipeline on Raspberry Pi Platform
ELKHA : Jurnal Teknik Elektro Vol. 18 No.1 April 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v18i1.102212

Abstract

This study presents the design and implementation of a fully embedded offline voice control system for a Mecanum wheel robot integrating Whisper-based automatic speech recognition and ALBERT-based natural language understanding on a Raspberry Pi 4 platform. The proposed system supports parameterized motion commands with numerical value and unit extraction, enabling precise kinematic mapping without reliance on cloud services. The voice processing pipeline consists of audio acquisition, preprocessing, voice activity detection, speech transcription, intent classification, parameter extraction, kinematic transformation, and motor actuation. The system was trained on a custom dataset of 500 Indonesian navigation command samples spoken by five native speakers and evaluated on a separate test set of 200 commands. Experimental results demonstrate command recognition accuracy exceeding 95 percent and word error rates below 7.5 percent under moderate noise conditions. The system achieved an average end-to-end latency of 1.23 seconds. Motion execution errors remained below 5 percent within optimal parameter ranges, demonstrating sufficient precision for navigation tasks. Environmental robustness and reliability testing confirm stable performance in typical indoor environments. These results indicate that transformer-based speech and language models can be effectively deployed on resource-constrained embedded robotic platforms to enable practical real-time human–robot interaction. Specifically, the system addresses latency and privacy concerns associated with cloud-dependent solutions. The implementation demonstrates feasibility for educational and light industrial applications requiring offline capability.
System Testing and Performance Evaluation of an MQTT-Based IoT Monitoring System for Crop Cultivation
ELKHA : Jurnal Teknik Elektro Vol. 18 No.1 April 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v%vi%i.98306

Abstract

Agriculture is a crucial component of Indonesia's economy and food security. However, farmers have been using conventional techniques, such as planting according to a fixed timetable that is unaffected by weather or temperature. This will negative effect on the quality and yields of crops. Thus, a device is needed that can provide information about the weather or temperature. The message queuing telemetry transport (MQTT) is very helpful because it send data from the microcontroller to the display. This research aims to develop a prototype that displays measurement data utilizing MQTT and Node-RED, along with performance evaluations including latency, packet loss, and energy efficiency. This study employs an experimental approach that starts with a schematic design, followed by the installation and evaluation of a monitoring system. The outcome of this research indicates that the prototype worked performed well in an open farming field. System performance was assessed in terms of latency, packet loss, and energy efficiency. The results demonstrate stable operation during a 10-day field deployment, with an average latency of approximately 1.3 s, a packet loss rate of 1.38% and average power consumption of 1.25 W over 24 hours of continuous operation. These findings indicate that the proposed system is suitable for real-time agricultural monitoring under open-field conditions. The study emphasizes deployment feasibility and system-level performance rather than detailed agronomic analysis providing insights into the use of MQTT-based IoT solutions for open-field precision agriculture
GIS Based Techno Economic Analysis for the Placement of Solar Powered Public Electric Vehicle Charging Stations in Denpasar City
ELKHA : Jurnal Teknik Elektro Vol. 18 No.1 April 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v18i1.104543

Abstract

The rapid growth of electric vehicle (EV) adoption has increased the need for reliable public charging infrastructure in urban areas. In Indonesia, public charging stations are generally supplied by grid electricity (PLN), which may increase operational costs and emissions depending on the grid generation mix. Integrating solar photovoltaic (PV) into electric vehicle charging stations (EVCS) offers a cleaner option. however, it requires careful consideration of both spatial suitability and techno-economic feasibility at the planning stage. This study proposes an integrated GIS-based planning framework to identify priority areas for solar-powered public EV charging stations in Denpasar City, Indonesia. The approach combines GIS-based spatial suitability analysis and comparative techno-economic evaluation within a unified planning workflow. Spatial analysis is first applied to screen candidate zones based on accessibility, land use compatibility, population density, proximity to activity centers, and solar energy potential. Subsequently, a techno-economic assessment is conducted to evaluate the feasibility of renewable energy–powered EV charging systems in the shortlisted areas. The results indicate that central urban areas and commercial districts emerge as priority deployment zones, driven by high accessibility, stronger demand indicators, and favorable techno-economic characteristics. Mixed-use residential areas are identified as complementary options to expand service coverage, while peripheral and agricultural-dominated areas show limited suitability for early deployment. The proposed framework demonstrates how integrating spatial screening and techno-economic considerations within a planning-oriented workflow can support more informed decision-making for sustainable EV charging infrastructure development in urban environments.