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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT JTT (Jurnal Teknologi Terpadu) Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Mantik Penusa JIPN (Journal of Informatics Pelita Nusantara) Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) JATI (Jurnal Mahasiswa Teknik Informatika) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) Journal of Soft Computing Exploration INCODING: Journal of Informatics and Computer Science Engineering Bulletin of Information Technology (BIT) Kode : Jurnal Bahasa Archive: Jurnal Pengabdian Kepada Masyarakat PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) Innovative: Journal Of Social Science Research Sasambo: Jurnal Abdimas (Journal of Community Service)
Insan Taufik
Universitas Negeri Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : Bulletin of Information Technology (BIT)

 1 
Integrasi Algoritma Naïve Bayes Dan Website Untuk Deteksi Dini Penyakit DBD Di RSUD. DR. Pirngadi Tiopan Pandapotan Purba, Yeremia; Taufik, Insan
Bulletin of Information Technology (BIT) Vol 5 No 1: Maret 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i1.1152

Abstract

Dengue Hemorrhagic Fever (DHF) poses a serious threat to public health, caused by the Dengue virus transmitted through Aedes aegypti or Aedes albopictus mosquitoes. DHF can affect individuals of all age groups, especially children, with a mortality rate reaching 25% among children, as noted by the World Health Organization (WHO). Despite a decrease in DHF cases in 2020, the numbers remain high, presenting a significant issue in Indonesia, particularly in Kota Medan. RSUD Dr. PIRNGADI in Kota Medan is one of the hospitals addressing DHF cases. The primary challenge faced is the substantial increase in DHF patients in 2020, leading to a decrease in the effectiveness of patient care and an accumulation of administrative registration issues. Currently, there is no specific predictive system or research on DHF at RSUD Dr. PIRNGADI. This research aims to integrate the Naïve Bayes Algorithm and a website for early detection of DHF at RSUD Dr. PIRNGADI. Data on DHF symptoms are collected through patient medical records, and the Naïve Bayes Algorithm is employed to predict the likelihood of DHF. The detection system will be linked to an API and integrated into the RSUD Dr. PIRNGADI website, enabling users to conduct online DHF detection by entering patient symptoms. With this research, the goal is to contribute to enhancing the management of DHF cases at RSUD Dr. PIRNGADI, improving the efficiency of patient care, and providing a solution for the increasing number of DHF cases. The findings of this research can also serve as a foundation for developing similar systems in other hospitals and contribute to more effective efforts in preventing and controlling DHF
Face Recognition Motorcycle Rider Registration System for Rider Data Management Saputra S, Kana; Taufik, Insan; Ramadhani, Irham; Sasalia S, Putri; Syawali, Yusfi; Yusuf, Dede; Nadilla Putri, Rezkya; Latifah Hasibuan, Najwa; Hafiz Harahap, Fauzan
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2157

Abstract

This research aims to develop a motorcycle rider registration system using facial recognition technology that can improve the efficiency of rider data management. This system is designed to identify and authenticate riders with high accuracy, thereby simplifying the registration and monitoring process. The methods used in this research include collecting rider facial data through cameras, image processing for feature extraction, and implementing a facial recognition algorithm. Testing was conducted in several locations with varying lighting conditions and viewing angles to ensure the system's robustness. The results show that the developed system is capable of achieving facial recognition accuracy of up to 95%. In addition, this system provides an intuitive user interface to facilitate the registration and data management process. With the implementation of this system, it is expected to reduce the time and costs required in managing motorcycle rider data, as well as improve safety and comfort while riding.
Co-Authors Abdul Ghofur Abdul Ghofur Adisaputera, Abdurrahman Ahmad Landong Alfattah Atalarais Amran Sitohang Andriyani S, Rahayu Antonius Purba Arjon Samuel Sitio Arnita Arnita Arnita Arnita Chairunisah Chairunisah, Chairunisah Dinda Farahdilla Dharma Dinda Kartika Fachry Abda El Rahman Farhan Ramadhan, Haikal Fevi Rahmawati Suwanto Fitra, Awaludin Fristy Riandari Hafiz Harahap, Fauzan Hasugian , Paska Marto Hermawan Syahputra Ihsan Zulfahmi Irham Ramadhani Isda Pramuniati Izwita Dewi Kana Saputra S Kuraini, Atifa Nuzulul Latifah Hasibuan, Najwa Lili Tansliova Lubis, Afiq Alghazali Lubis, M. Revano Ananda MANSUR AS Mhd Hidayat Mhd Hidayat Mohammed Hafizh Al-Areef Muhammad Noer Fadlan Muhammad, Fachrezzy Muthmainnah, Inna Nadilla Putri, Rezkya Nasution, Hamidah . Niska, Debi Yandra Nurliani Manurung Pane, M Iqbal Anata Pane, Yeremia Yosefan Parapak, R Putri Angela Pinem, Josua Purba, Boy Hendrawan Putri, Rezkya Nadilla Raiyan Fairozi Said . Iskandar Samosir, Wahyu Ardiantito Saragih, Vinny Ramayani Sasalia S, Putri Simamora, Elmanani Sinaga, Marlina Setia Siregar, Angginy Akhirunnisa Siregar, Ary Prandika Siregar, Mochammad Gani Alfa Alkhoiri Sri Mulyana SUSIANA Syawali, Yusfi Syifa Cendikia, Yolanda Tarigan, Yosua Yosephine Tengku Ratna Soraya Tiopan Pandapotan Purba, Yeremia TONNI LIMBONG Trisnawati Hutagalung Wahabi Hasibuan, Rahman Warjaya, Angga Wete Polili, Andi Wete Polili, Andi Yulita Molliq Rangkuti Yulita Molliq Rangkuti Zulfahmi Indra, Zulfahmi