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All Journal Journal of Robotics and Control (JRC) Jurnal Oportunitas : Ekonomi Pembangunan
Nurwahyudi, Ilham
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Mechanical Engineering

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Towards Controlling Mobile Robot Using Upper Human Body Gesture Based on Convolutional Neural Network Fuad, Muhammad; Umam, Faikul; Wahyuni, Sri; Fahriani, Nuniek; Nurwahyudi, Ilham; Darwaman, Mochammad Ilham; Maulana, Fahmi
Journal of Robotics and Control (JRC) Vol 4, No 6 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i6.20399

Abstract

Human-Robot Interaction (HRI) has challenges in investigation of a nonverbal and natural interaction. This study contributes to developing a gesture recognition system capable of recognizing the entire human upper body for HRI, which has never been done in previous research. Preprocessing is applied to improve image quality, reduce noise and highlight important features of each image, including color segmentation, thresholding and resizing. The hue, saturation, value (HSV) color segmentation is executed by utilizing blue color backdrop and additional lighting to deal with illumination issue. Then thresholding is performed to get a black and white image to distinguish between background and foreground. The resizing is completed to adjust the image to match the size expected by the model. The preprocessed data image is used as input for gesture recognition based on Convolutional Neural Network (CNN). This study recorded five gestures from five research subjects in difference gender and body posture with total of 450 images which divided into 380 and 70 images for training and testing respectively. Experiments that performed in an indoor environment showed that CNN achieved 92% of accuracy in the gesture recognition. It has lower level of accuracy compare to AlexNet model but with faster training computation time of 9 seconds. This result was obtained by testing the system over various distances. The optimal distance for a camera setting from user to interact with mobile robot by using gesture was 2.5 m. For future research, the proposed method will be improved and implemented for mobile robot motion control.
PENGARUH UPAH MINIMUM DAN INVESTASI TERHADAP PENYERAPAN TENAGA KERJA DI KABUPATEN/KOTA PROVINSI NUSA TENGGARA BARAT TAHUN 2015-2023 Nurwahyudi, Ilham; Daeng, Akung; Singandaru, Adhitya Bagus
Jurnal Oportunitas : Ekonomi Pembangunan Vol. 4 No. 1 (2025): Oportunitas, March 2025
Publisher : Fakultas Ekonomi dan Bisnis Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/oportunitas.v4i1.1686

Abstract

Penelitian ini menganalisis pengaruh Upah Minimum (X1) dan Investasi (X2) terhadap penyerapan tenaga kerja (Y) di Kabupaten/Kota Provinsi Nusa Tenggara Barat pada tahun 2015-2023. Data dikumpulkan melalui dokumentasi, studi kepustakaan, dan sumber dari BPS Provinsi NTB, BPS Kota Mataram, serta NTB Satu Data. Analisis menggunakan metode kuantitatif dengan pendekatan deskriptif dan regresi Data Panel menggunakan Eviews 12. Hasil penelitian menunjukkan bahwa Upah Minimum (X1) berpengaruh positif dan signifikan terhadap penyerapan tenaga kerja (Y), sedangkan Investasi (X2) berpengaruh negatif namun tidak signifikan. Secara simultan, kedua variabel (X1 dan X2) berpengaruh positif dan signifikan terhadap penyerapan tenaga kerja (Y). Penelitian ini diharapkan dapat menjadi referensi untuk kebijakan yang mendukung peningkatan penyerapan tenaga kerja dan pertumbuhan ekonomi di NTB.
Co-Authors Adhitya Bagus Singandaru Akung Daeng Darwaman, Mochammad Ilham Faikul Umam Maulana, Fahmi Muhammad Fuad Nuniek Fahriani, Nuniek Sri Wahyuni