Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Infotek : Jurnal Informatika dan Teknologi Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Wahyu Rizki
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Health Professions

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Dampak Penggunaan Bahasa Indonesia untuk Menumbuhkan Kecintaan terhadap Negara pada Siswa Negeri 1 Cinangka Rina Andriani; Umalihayati Umalihayati; Ana Utami Fatoni; Desma Yuliadi Saputra; Kurniati Rahmadani; Wahyu Rizki; Asmilah Asmilah; Ikhwannul Khalis; Siti Sutihat
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 3 No. 3 (2024): September : Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v3i3.2535

Abstract

This community service activity aimed to socialize the correct (standard) use of the Indonesian language, thereby fostering a sense of love for the country among students at SMA Negeri 1 Cinangka, Serang Regency, Banten. The goal of this activity was to instill early awareness among students to use the Indonesian language according to standardized spelling with deep love for the nation, without feeling ashamed, outdated, or merely using it as a form of identity as Indonesian citizens. It sought to rekindle a sense of nationalism in the students of SMAN 1 Cinangka by encouraging them to love and use the Indonesian language in accordance with linguistic norms.The method used in the socialization activity involved preparation, implementation, evaluation, and reporting. The socialization event was held at SMA Negeri 1 Cinangka, Cinangka Village, Serang Regency, on Monday, August 26, 2024. The participants of this activity included 207 students from SMA Negeri 1 Cinangka and the KKM (Kuliah Kerja Mahasiswa) group 38 of Cinangka. The speakers were lecturers from Bina Bangsa University with a background in the field of linguistics. The results of this activity produced an understanding and awareness among students to use the Indonesian language according to standardized spelling with deep love for the nation, without feeling ashamed, outdated, or merely using it as a form of identity as Indonesian citizens. This socialization activity is expected to rekindle a sense of nationalism in the students of SMAN 1 Cinangka, encouraging them to love and use the Indonesian language in accordance with linguistic norms.
Pengembangan Sistem untuk Deteksi dan Identifikasi Lokasi Kecelakaan pada Lansia sebagai Bentuk Peningkatan Keselamatan berbasis Internet of Things (IoT) Mandala Putra, Hadian; 'Alimuddin; Suhartini; Wahyu Rizki
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28263

Abstract

fainting, which can be fatal to their health and quality of life. The elderly population in Indonesia continues to increase, creating an urgent need for technological solutions to effectively monitor their health conditions. This study aims to design and develop an Internet of Things (IoT)-based accident detection and identification system for the elderly. The system utilizes several sensors, including an accelerometer, pulse sensor, and GPS, to monitor the physical conditions of the elderly and track their location in real-time. The research method employed is the Research and Development (R&D) method. Testing was conducted on a non-elderly subject by simulating falls with several scenarios, repeated multiple times. When the sensors detect an accident, the system automatically sends notifications to the user’s or the elderly family’s smartphone, enabling quick actions that can prevent further impacts. The results showed that the system achieved a detection accuracy rate of 91% in identifying falls and weak pulse conditions out of 30 test trials
Co-Authors 'Alimuddin Ana Utami Fatoni Asmilah Asmilah Desma Yuliadi Saputra Hadian Mandala Putra Ikhwannul Khalis Kurniati Rahmadani Rina Andriani Siti Sutihat Suhartini Umalihayati Umalihayati