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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Ilmiah Kesehatan Media Husada Bravo's : Jurnal Program Studi Pendidikan Jasmani dan Kesehatan MIKIA: Mimbar Ilmiah Kesehatan Ibu dan Anak (Maternal and Neonatal Health Journal) Jurnal Kesmas Prima Indonesia Jurnal MID-Z (Midwivery Zigot) Jurnal Ilmiah Kebidanan Prosiding Conference on Research and Community Services AKSELERASI: Jurnal Ilmiah Nasional PROFESSIONAL HEALTH JOURNAL Muria Jurnal Layanan Masyarakat Haga Journal of Public Health (HJPH) Health Care Media Jurnal Pengabdian Masyarakat Inovasi Indonesia
Nanik Susanti
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Optimasi Demokrasi Sekolah dengan SIPKO-WO (Sistem Informasi Pemilihan Ketua OSIS berbasis Web Oriented) pada SMK Tiara Gembong Susanti, Nanik; Adiyono, Soni; Romadhon, Zainur
Jurnal Pengabdian Masyarakat Inovasi Indonesia Vol 2 No 1 (2024): JPMII - Februari 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jpmii.327

Abstract

Demokrasi dalam dunia pendidikan sangatlah penting di era globalisasi saat ini.  Sekolah demokratis beroperasi dalam struktur yang mendukung praktik paling demokratis, melibatkan insan siswa dan siswi dalam sebuah Institusi pada pembahasan program sekolah, mempertimbangkan aspirasi diseluruh kalangan murid di SMK TIARA Gembong semula masih menggunakan pungutan suara (voting) konvensional, namun terdapat beberapa kelemahan dalam metode tersebut sehingga hasilnya disinyalir menjadi tidak valid. Mencarmati adanya SIPKO-WO sangat membantu dalam menunjang pelaksanaan demokrasi lingkup sekolah tersebut. SIPKO-WO dapat mengefiseiensi waktu pelaksanaan serta dapat menekan biaya yang sebelumnya dikeluarkan dengan metode konvensional, lalu dapat lebih mudah dalam segi manajemen dokumentasi dan transparansi hasil dari pelaksanaan demokrasi. dengan menggunakan bahasa pemrogaman php, serta memanfaatkan database MySQL sebagai database server. Sistem ini akan dibuat sedemikian mudah untuk siswa yang mempunyai hak pilihnya. Prosesnya antara lain pemilih login dengan Nomor Identitas Siswa (NIS) nya kemudian diform pemilih akan tersedia calon yang akan dipilih. Kemudian sistem akan mengolah dan menampilkan hasil di form hasil sementara. Proses analisa sistem, perancangan sistem dan pengujian menggunakan blacbox sistem. Aplikasi SIPKO-WO yang sudah diimplementasikan mempermudah penyelenggara dalam kegiatan tersebut, dan mempercepat proses perhitungan suara serta menghasilkan laporan yang lebih informatif dan data suara yang masuk lebih mudah dalam pengelolaannya.
Development of a Web-Based Information System for Real-Time Fainting Detection Using YOLO in Smart Healthcare Triyanto, Wiwit Agus; Susanti, Nanik
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 4, November 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i4.2407

Abstract

Loss of consciousness (fainting) is a critical condition that requires prompt treatment, especially in the context of elderly health services and independent patient care. This research aims to develop a web-based information system that is able to detect fainting events in real-time using the You Only Look Once (YOLO) algorithm version 11, which is one of the latest approaches in deep learning-based object detection. The system is designed to monitor video from the surveillance camera directly, make visual inferences of the patient's posture, and provide automatic notifications if a loss of consciousness condition is detected. The dataset was obtained from the Roboflow platform and consists of 9,081 annotated images representing the fainting position. The YOLOv11 model was trained and tested using training data sharing, validation, and testing methods. The test results showed that the model achieved mAP, precision, recall and F1-score values of 98.70%, 98.00%, 97.30% and 97.65%, respectively. The developed information system is able to display the detection visually through the bounding box on the dashboard and record the time of the incident. With this performance, this system shows great potential in improving patient safety through intelligent monitoring and automated response in hospital, nursing home, and residential environments. This research also opens up opportunities for the development of more adaptive AI-based health monitoring systems and computer vision in the future.
Co-Authors Achmad Dafir Firdaus Achmad Dafir Firdaus Adiyono, Soni Amelia Prameswari Pitaloka Andhix Eko Cahyono Awin Lakoro Cinthia Kartikaningtias Dedik Budiyanto Endang Supriyati Feriana Ira Handian Fithri, An Nisa Harningtyas, Sismala Harningtyas, Sismala Hidayati, Ulfa Nur Lilla Marisa Luluk Nur Aini M. Syahri mochamad Agus Krisno Budianto Mohammad Syahri Ns. Wiwik Agustina Ona Ajuan Putri Kurnia Handayani Ratna Dian Franskiska Ratna Diana Fransiska Romadhon, Zainur Sismala Harningtyas SRI WULANDARI Sri Wulandari Syafiul Muzid Wardani, Arti Winarsih, Lilik Wiwik Agustina Wiwit Agus Triyanto Yudie Irawan