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All Journal JURNAL SISTEM INFORMASI BISNIS Journal of Robotics and Control (JRC) International Journal of Aviation Science and Engineering Artinara
Kurniawan, Denni
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Transportation Other

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Penerapan K-Nearest Neighbour dalam Penerimaan Peserta Didik dengan Sistem Zonasi Kurniawan, Denni; Saputra, Ade
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (54.162 KB) | DOI: 10.21456/vol9iss2pp212-219

Abstract

Admission of new students is a routine activity at the beginning of each new meeting year in all formal educational institutions. At the moment the acceptance of new students uses the zoning system and has been regulated by Permendikbud No. 20 in 2019. This zoning system will accept students where their residence enters through the user area with the school environment. With this Permendikbud the government hopes that there will be an evenness in the quality of education in all schools, so that schools will no longer get the title of superior and non-superior schools. But in a system, the zoning improves anxieties in the school environment. This research supports to help the participating school students will be accepted in accordance with the provisions of the Ministry of Education and Culture. In overcoming problems that arise in the school environment there needs to be a system that can overcome that problem. In this study using the K-Nearest Neighbor (K-NN) method. Where the K-NN method will do the classification of new learners' residence with the school. In determining the classification using the K-NN method used for zoning and non-zoning areas, it is seen based on the closest K value. In finding the optimal value in this study using the Rapidminer application. The optimal high-level test results at K 5 where the value of this K is 83.36%
Pelatihan Dan Pemanfaatan Aplikasi Canva Dalam Pembuatan Desain Grafis Untuk Pemula di Lingkungan RT. 05 RW 10 Meruya Devit Setiono; Yulianawati; Wahyuningsih, Sri; Kurniawan, Denni; Khoiriyah, Khusnul
Artinara Vol 2 No 1 (2023): Jurnal Artinara Februari 2023
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/art.v2i01.60

Abstract

Setiap anggota masyarakat memiliki peranan dalam masyarakat serta kegiatan yang dilakukan dalam kehidupan sehari-hari. Kemampuan dalam menyajikan informasi, promosi yang menarik, kreatif, unik dan informasi yang disampaikan mudah dipahami adalah suatu keterampilan yang dapat dijadikan modal untuk menyampaikan berita, informasi, media pembelajaran, serta promosi suatu produk. Tujuan dari pengabdian masyarakat ini untuk meningkatkan keterampilan design grafis dengan tools canva bagi masyarakat di lingkungan RT.05/RW.10 Meruya Utara. Kegiatan pelatihan canvaini dimulai dengan memberikan gambaran singkat, manfaat, cara menggunakan dan melakukan praktek secara langsung dengan pendampingan. Modul praktek juga diberikan kepada peserta sebagai penunjang proses pembelajaran. Dari evaluasi kegiatan pelatihan ini dapat kami simpulkan bahwa program pelatihan ketrampilan ini telah memberikan manfaat yang signifikan dan langsung dapat diaplikasikan dalam kehidupan sehari-hari dalam berbagai aktivitas. Kegiatan pelatihan ini merupakan kegiatan positif dan tepat sasaran untuk memberikan pelatihan keterampilan bagi masyarakat, sehingga dapat menambah wawasan serta pengetahuan baru di bidang design grafis dalam pembelajaran kegiatan sehari-hari seperti pembuatan materi belajar, membuat flyer product, membuat sertifikat, membuat konten, kartu ucapan dan lain sebagainya.
Bird Detection System Design at The Airport Using Artificial Intelligence Ummah, Khairul; Hidayat, Muhammad Fadly; Kurniawan, Denni; Zulhanif, Zulhanif; Sembiring, Javensius
International Journal of Aviation Science and Engineering - AVIA Vol. 4, No. 2 (December 2022)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v4i2.72

Abstract

Bird strike is a process of crashing between bird and airplane which occurs in flight phase. Based on data, there are 40 times bird strike occurs every day (FAA, 2019). There are lot of research that already conducted to decrease number of birds at the airport. But it is not given significant changes. Hence, it is needed a model that can detect bird at the airport so that we can decrease the number of birds. Study already conducted by comparing motion detection with object detection and filter which can be used to improve detection quality. Model already developed using YOLOv4 object detection with 71.89% mean average precision. It is expected that object detection can be developed to become a bird repellent system in the future
Enhanced Precision Control of a 4-DOF Robotic Arm Using Numerical Code Recognition for Automated Object Handling Sukri, Hanifudin; Ibadillah, Achmad Fiqhi; Thinakaran, Rajermani; Umam, Faikul; Dafid, Ach.; Kurniawan, Adi; Morshed, Md. Monzur; Kurniawan, Denni
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research develops a 4-DOF robotic arm system that utilizes numerical codes for accurate, automated object handling, supporting advancements in sustainable industrial automation aligned with the UN Sustainable Development Goals (SDGs), particularly Industry, Innovation, and Infrastructure (SDG 9). Key contributions include the integration of EasyOCR for reliable code recognition and a control mechanism that enables precise positioning. The robotic system combines a webcam for visual sensing, servo motors for movement, and a gripper for object manipulation. EasyOCR effectively recognizes numerical codes on randomly positioned objects against a uniform background while the microcontroller calculates servo angles to guide the arm accurately to target positions. Testing results show a success rate exceeding 94% for detecting codes 1 to 4, with minor servo angle errors requiring adjustments in arm extension by 30 mm to 50 mm. Positional error analysis reveals an average error of less than 1.5 degrees. Although environmental factors like lighting can influence code visibility, this approach outperforms traditional methods in adaptability and precision. Future research will focus on enhancing code recognition under variable lighting and expanding the system's adaptability for diverse object types, broadening its applications in industries demanding high efficiency.
Co-Authors Achmad Fiqhi Ibadillah Ade saputra Adi Kurniawan Dafid, Ach Devit Setiono Faikul Umam Hidayat, Muhammad Fadly Javensius Sembiring, Javensius Khairul Ummah Khoiriyah, Khusnul Krisna Rendi Awalludin Morshed, Md. Monzur Sukri, Hanifudin Thinakaran, Rajermani Yulianawati Zulhanif, Zulhanif