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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Indonesian Journal of Artificial Intelligence and Data Mining International Journal of Research in Vocational Studies (IJRVOCAS)

Destra Andika Pratama

Politeknik Negeri Sriwijaya

Author-ID : 3312125

Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Articles

Influence of Maneuvering Singa Feeder at Bukit Siguntang Substation on Power Shrinkage Using ETAP 19.0.1 Anton Firmansyah; Destra Andika Pratama; M. Raihan Ismail
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 1 No. 4 (2022): IJRVOCAS - Special Issues
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

The need for electricity supply in the community and industry is increasing over time, it is necessary to provide energy and a safe and reliable electricity distribution system, which can minimize blackouts so as to maintain customer satisfaction. One way to increase reliability and minimize blackouts is through a network maneuvering process. This study calculates the magnitude of the power loss value on the power line in the feeder that maneuvers the Singa feeder with the aim of knowing the value of power loss that occurs during the maneuver so that network maneuvering activities on the Singa feeder become more optimal. The Singa feeder can be maneuvered by two feeders, namely the Kijang feeder and the Kancil feeder. Based on SPLN 72: 1987, the standard maximum value for medium-voltage

The Three Phase Induction Motor Test Using MATLAB 2021b/SIMULINK at Bukit Energi Servis Terpadu, Ltd Destra Andika Pratama; Masayu Anisah; Kabul Andi Setiyadi
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 1 No. 4 (2022): IJRVOCAS - Special Issues
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

The purpose of the paper is to investigate the performance characteristics squirrel-cage induction motor available. This paper discusses determination parameters for three-phase induction motor based on experimental data, which the standard test data is not completely available in the end-users. Alternatively, equivalent circuit parameters should be estimated based on the released performance data of the induction motor. This paper also describes MATLAB 2021b/Simulink implementation of three phases of induction motor testing, which includes the no-load, full load, and locked rotor tests were performed to identify the equivalent circuit parameters. The value calculated of parameters simulation results has been compared to experimental values as verification and validation techniques. The deviation of measured values was diagnosed between 0.13% and 1.31%.

Implementasi Fuzzy Logic pada Sistem Sortir Otomatis Alat Penghitung Jumlah Buah Apel Rana Angely Syawalia; Sabilal Rasyad; Destra Andika Pratama
JTEV (Jurnal Teknik Elektro dan Vokasional) Vol 6, No 2 (2020): JTEV (Jurnal Teknik Elektro dan Vokasional)
Publisher : Universitas Negeri Padang

Indonesia is an agrarian country that has abundant natural resources, especially in agriculture. One of the is the local apple which comes from Kota Batu. Apples from Kota Batu are recognized as having delicious and fresh flavors. The Land itself has the area of 2,993.88 Ha, which means that Indonesia should have been able to export apples from Kota Batu. the production process that still using human power (conventional) in the sorting process is one of the problem for Indonesia to be able to export local apple products. To increase the economic value of local apple, especially in global market is sorting. Based on these problems, an automatic sorting system that can separate the types of apples based on weight and color was created. This system uses fuzzy logic method for sorting process, where the tool will sort automatically based on the decision rules that have been given using the If-Then algorithm. The data processing controller is Arduino Mega 2560. The main input data is from load cell sensor and color sensor TCS3200. While the sorting executor is in the form of two servo motor MG996.

MATLAB-Based Performance Evaluation of Lightweight YOLO Models for Waste Object Detection Nadhirah Meidiasty Maharani; Dewi Permata Sari; Ibnu Maja; Destra Andika Pratama; Ozkar F. Homzah
Indonesian Journal of Artificial Intelligence and Data Mining Vol. 9 No. 2 (2026): July 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

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Accurate waste object detection is important for enabling efficient automated recycling and environmental management. While lightweight YOLO models are often managed in Python, integration and evaluation of the models in MATLAB remains a technical challenge due to limited support and documentation. This study intends to fill that gap by evaluating the performance of YOLOv5s, YOLOv7-Tiny, and YOLOv8n within the MATLAB environment for waste object detection using the TrashNet dataset. A semi-automatic labeling approach was employed, combining manual annotation with pseudo-labeling using a pretrained YOLOv8n model. The models were trained and exported to the ONNX format for MATLAB-based inference and analysis. Experimental results show that YOLOv8n achieved the highest mAP@0.5 of 0.954, while YOLOv5s demonstrated the most stable inference performance in MATLAB, consistently producing confidence scores above 90% and real-time speeds of up to 15.9 fps. In contrast, YOLOv7-Tiny achieved the fastest inference speed (up to 24.4 fps) but exhibited reduced classification consistency. Notably, YOLOv8n experienced confidence score degradation during MATLAB inference, suggesting post-processing discrepancies between native Python and ONNX-imported workflows. This research highlights MATLAB’s capability to serve as a functional evaluation platform for modern lightweight detectors and emphasizes its potential for expanding accessible AI applications in waste management systems.

Co-Authors Dewi Permata Sari Firmansyah, Anton Homzah, Ozkar F Ibnu Maja Kabul Andi Setiyadi M. Raihan Ismail Masayu Anisah Nadhirah Meidiasty Maharani Rana Angely Syawalia Sabilal Rasyad

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