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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Algoritma Jurnal Informatika Jurnal Inspiration Paradigma JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JURNAL ILMIAH INFORMATIKA METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi DoubleClick : Journal of Computer and Information Technology INTECOMS: Journal of Information Technology and Computer Science STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research METIK JURNAL Jurnal Mantik Technologia: Jurnal Ilmiah Buletin Ilmiah Sarjana Teknik Elektro Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Journal of Applied Engineering and Technological Science (JAETS) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Journal of Applied Data Sciences Jurnal AbdiMas Nusa Mandiri Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Sistem Komputer Triguna Dharma (JURSIK TGD) Jurnal Algoritma Journal Of Communication Education Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Teknik Elektro dan Komputer Asian Journal of Management, Entrepreneurship and Social Science
Windu Gata
Universitas Nusa Mandiri
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Pemanfaatan IndoBERT Untuk Analisis Sentimen Ulasan Aplikasi Depok Single Window Rian Hidayat; Windu Gata
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 10 No 1 (2025): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Juni 2025)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/isbi.v10i1.3334

Abstract

Sebuah platform layanan digital bernama Depok Single Window didirikan oleh Dinas Komunikasi dan Informasi (Diskominfo) Kota Depok. Program ini dikembangkan sebagai sarana untuk mengakses informasi dan layanan publik, termasuk berita lokal, jadwal sholat, dan layanan kesehatan. Evaluasi pengguna yang disediakan di google marketplace memberikan informasi penting yang dapat digunakan untuk meningkatkan kualitas program. Proyek ini bermaksud untuk melakukan analisis sentimen pada 1.010 ulasan pengguna. Data diperoleh melalui teknologi scraping online, kemudian diproses melalui tahap preprocessing seperti case folding, tokenizing, stemming, dan penghapusan stopword. Pelabelan sentimen dilakukan dengan menggunakan model IndoBERT-large-p2 yang membagi ulasan ke dalam tiga kategori yaitu positif, netral, dan negatif. Temuan pelabelan menunjukkan distribusi sentimen dari 828 ulasan buruk, 57 ulasan netral, dan 35 ulasan positif. Beberapa skenario digunakan sebagai pendekatan distribusi rasio, yaitu 90:10, 80:20, 70:30, dan 60:40, dengan menggunakan model Long Short-Term Memory. Skenario terbaik ditemukan pada rasio 90:10 dengan akurasi 97%, yang menunjukkan bahwa model ini efektif dalam mendeteksi sikap negatif tetapi kurang efisien untuk mendeteksi perasaan positif dan netral. Hasil ini memberikan pengetahuan penting bagi para pengembang aplikasi tentang cara meningkatkan fungsionalitas dan kepuasan pengguna melalui peningkatan layanan berdasarkan penilaian pengguna
EagleEyes: An Artificial Intelligence-Based Approach for Automatic Traffic Violation Detection Using Deep Learning Windu Gata; Muhammad Haris; Maria Irmina Prasetiyowati; Sony Harianto
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1097

Abstract

Rapid urbanization and the advancement of smart city programs in Indonesia necessitate intelligent, automated solutions for traffic monitoring and law enforcement. This study introduces EagleEyes, an artificial intelligence–based framework designed for automatic detection of multiple traffic violations by integrating the YOLOv8 deep learning architecture with Optical Character Recognition (OCR) for vehicle license plate identification. YOLOv8 was selected due to its anchor-free design, decoupled detection head, and enhanced feature fusion modules, which collectively improve detection accuracy, convergence speed, and small-object recognition compared to YOLOv5 and YOLOv7, while maintaining lightweight computational efficiency suitable for real-time applications. The proposed system was trained on a multi-class dataset representing common Indonesian violations, including seat belt non-compliance, helmet absence, motorcycle overcapacity, and unreadable license plates. Experimental results demonstrate robust performance, achieving a precision of 0.91, recall of 0.92, and mean average precision (mAP@0.5) of 0.96 at the optimal epoch, with an average inference speed of 25 frames per second and total training time of approximately 15 minutes on an NVIDIA RTX GPU. The OCR module attained an average recognition accuracy of 98.7%, although its performance decreased for vehicles captured beyond a five-meter distance due to reduced clarity and illumination inconsistencies. Implemented as a web-based application using the Flask framework, EagleEyes enables flexible browser-based visualization, and can be seamlessly integrated into Indonesia’s Electronic Traffic Law Enforcement (ETLE) infrastructure. Overall, the system demonstrates high potential to enhance smart city traffic management through scalable, AI-driven, and ethically responsible automation.
Implementasi AI Pose Estimation Untuk Otomatisasi Pengukuran Pakaian Pada E-Commerce Fashion Stepanus M Pelmelay; Windu Gata; Wahid Diyono; Dandy Herago Tantoko
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 8 No. 2 (2026): Edisi Oktober
Publisher : Universitas Harapan Medan

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

Abstract

The global fashion e-commerce industry is currently facing an operational crisis due to high product return rates triggered by the mismatch between physical clothing sizes and consumer expectations. Conventional labeling systems (S, M, L, XL) have proven inadequate in representing the diversity of human anthropometry universally. This study proposes an innovative solution through the implementation of AI Pose Estimation using the MediaPipe framework and OpenCV for contactless body dimension extraction. The research method involves mapping 33 body landmarks, pixel-to-metric calibration based on user height, and body circumference estimation using the integration of Canny edge detection and Ramanujan II ellipse formulation. Scientific findings indicate that the system can achieve an average accuracy of 98.85% with a Mean Absolute Error (MAE) of only 0.88 cm across various body profiles. The conclusion of this study confirms that the use of Computer Vision-based Pose Estimation can improve the efficiency of the e-commerce industry by providing personalized and accurate size recommendations, which can systematically reduce product return rates and increase consumer loyalty through a more precise shopping experience.
Co-Authors Achmad Bayhaqy Achmad Fatkharrofiqi Ahmad Baihaqi Ahmad Bayhaqqi Ahmad Toha Alda Zevana Putri Widodo Ali Ahmad Andita Permata Rahmawati Anggun Yuli Asih Anisah Novitarani Annisa Elfina Augustia Annisa Novtariany Annisa Novtariany Arief Rama Syarif Arif Rahman Hakim Bagus Dwi Wicaksono Bryan Pratama Chairul Fikri Cicih Sri Rahayu Dandy Herago Tantoko Darusman Darusman Dedi Dwi Saputra Dedik Erwanto Dwi Andriyanto Dwin Indrawan Eni Heni Hermaliani Enie Heni Hermalani Erni Erni Fadillah Said Fahmi Ardiansyah Fakhrudin Fakhrudin Fakihotun Titiani Fariszal Nova Arviantino Faruq Aziz Febri Ainun Jariyah Febri Ainun Jariyah Fikri Ismaya Fitra Septia Nugraha Frieyadie Gusli Chidir Hafifah Bella Nofitasari Hafifah Bella Novitasari Hafifah Bella Novitasari Hafifah Bella Novitasari Hamdan Harianto Hendra Budi Kusnawan Hendra Setiawan Heri Nurcahyo Hernawati Hernawati I Gusti Bagus Arya Pradnja Paramitha Ihud Hafid Ilham Wahyudi Siadi Ipang Sasono Jordy Lasmana Putra Ketut Sakho Parthama Khabib Astoni Khairunisa Hilyati Kukuh Panggalih Kusnadi Kusnadi Lael Kurniawati Laela Kurniawati Lili Dwi Yulianto Linda Marlinda Linda Marlinda2 Mahdi Abdullah Maria Irmina Prasetiyowati Mohamad Noor Muhammad Haris Muhammad Romadhona Kusuma Muji Ernawati Nia Kusuma Wardhani Oky Kurniawan Purwono, Purwono Rahmat Satria Buana Resi Taufan Rhini Fatmasari Ria Hartati Rian Hidayat Rini Novi Ambarwati Risnandar Risnandar Ristyani Slamet Rosadi Rosadi Ruhul Amin Satria Budi Sena Ramadona Cakrawijaya Sendi Permana Sony Harianto Sri Rahayu Stepanus M Pelmelay Subagja Putra Pratama SUGIYANTO S.KOM. Sulistianto Sutrisno Wanda Supriadi Pangabean Susanto Lim Suwanda Aditya Saputra Syarif Hidayat Taransa Agasya Tutupol Taranza Taranza Trisiwi Indra Cahyani Tuti Haryanti Valianda Farradillah Hakim Venny Yulianty Virda Mega Ayu Wahid Diyono Wawan Kurniawan Yessica Fara Desvia Yuris Alkhalifi