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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Informatics (IJEEI) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL INTEGRASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Applied Electrical Engineering Journal of Community Service and Empowerment Journal of Applied Computer Science and Technology (JACOST) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Engagement: Jurnal Pengabdian Kepada Masyarakat
Eko Rudiawan Jamzuri
Department Of Electrical Engineering, Politeknik Negeri Batam, Indonesia
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
Sensor Fusion – Based Localization for ASV with Linear Regression Optimization Wijaya, Ryan Satria; Jamzuri, Eko Rudiawan; Wibisana, Anugerah; Sinaga, Jepelin Amstrong; Julanba, Vafin
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10048

Abstract

ASV (Autonomous Surface Vehicle) is one of popular innovations in the maritime field that is widely used for various missions on the water surface. The ASV itself has the ability to operate automatically without human intervention. Therefore, ASV requires an accurate and reliable localization system. This research focuses on developing an ASV localization system using waterflow sensors optimized through linear regression and integrated with orientation data from an IMU sensor through sensor fusion to obtain global coordinate position estimation. The experiments conducted showed a significant improvement in accuracy after optimization, with the Root Mean Square Error (RMSE) of the waterflow sensor data decreasing from 161.65 meters to 0.28 meters. Moreover, the yaw data reading by IMU achieved accuracy with RMSE 1.54 degrees. The localization system in the final test achieved RMSE values of 0.07 meters for the X-axis, 0.14 meters for the Y-axis, and 1.9 degrees for yaw during the ASV global positioning experiment. In addition, a GUI (Graphical User Interface) was developed for visualization with average communication latency of 113.6 milliseconds. This localization system is a promising solution in stable water condition.
Detection of Misoriented Polarized Electronic Components on PCBs Using HOG Features and Neural Networks Jamzuri, Eko Rudiawan; Ikhsan, Habyb Nur
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11330

Abstract

Mounting misorientation on polar electronic components in printed circuit boards (PCBs) can cause malfunctions in electronic devices. This study proposes an automatic detection system that utilizes the Histogram of Oriented Gradients (HOG) feature and employs classification using an artificial neural network. The research was conducted by collecting data from PCB images featuring polar components, such as diodes, electrolytic capacitors, and transistors. Once the components are identified, the HOG features are extracted to generate feature vectors used in artificial neural network training. The experiment results show that this system can detect component orientation errors with a high degree of accuracy, achieving accuracy values of 99.5% for transistor components, 97% for electrolyte capacitors, and 93.6% for diodes. Additionally, F1 values and high precision are achieved for all three types of components. The ReLU activation function has been shown to perform best among other activation functions. While the results are promising, further research is necessary to automate the identification of component locations without relying on manual cropping processes.
Co-Authors Adlian Jefiza Ahmad Riyad Firdaus Ahmad Riyad Firdaus Alvin Analia, Riska Anisatul Munawaroh ANUGERAH WIBISANA Budi Sugandi Budiana, B. Daniel Sutopo Pamungkas, Daniel Sutopo Eka Mutia Lubis Eka Mutia Lubis Fatekha, Rifqi Amalya Fitriyanti Nakul Fitriyanti Nakul Geminiesty Lathifasari Djavendra Hanjaya Mandala Hasnira, H. Hendawan Soebhakti Hendawan Soebhakti Heru Wijanarko Ika Karlina Laila Nur Suciningtyas Ika Karlina Laila Nur Suciningtyas Ikhsan, Habyb Nur Jacky Baltes Jefiza, Adlian Julanba, Vafin Kaputra, Aldi Lindawani Siregar Lubis, Eka Mutia Mayang Sari MOCHAMAD ARI BAGUS NUGROHO Mulyadi, Indra Hardian Nakul, Fitriyanti Prasetyo, Naufal Abdurrahman Prayoga , Senanjung Prayoga, Senanjung Puspita, Widya Rika Ricardo Silitonga, Jony Arif Ridwan Ridwan Rifqi Amalya Fatekha Riska Analia Ryan Satria Wijaya S. Susanto, S. Santonius, Santonius Sinaga, Jepelin Amstrong Siti Aisyah Soebhakti, Hendawan Sumantri Kurniawan Risandriya Susanto Susanto Susanto Susanto Utama, Eldio Vivin Oktowinandi Wahyu Wibowo