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All Journal Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA CogITo Smart Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Infotekmesin Community Engagement and Emergence Journal (CEEJ) JISA (Jurnal Informatika dan Sains) IJIIS: International Journal of Informatics and Information Systems Abdimasku : Jurnal Pengabdian Masyarakat SEMAR Teknika Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia Nusantara Hasana Journal Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat International Journal for Applied Information Management
Chyntia Raras Ajeng Widiawati
Universitas Amikom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Infotekmesin

 1 
Animasi “Keluarga Aman” Sebagai Media Sosialisasi Pencegahan Penularan COVID-19 Suliswaningsih Suliswaningsih; Achmad Masruri; Ganang Eko Saputro; Anugerah Bagus Wijaya; Chyntia Raras Ajeng Widiawati
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1484

Abstract

Adaptation to new habits (new normal) must be implemented considering that people must continue their activities amidst the outbreak of Covid-19 transmission cases. Apart from the government and community organizations, awareness of prevention must be carried out by each individual even though they have been vaccinated. The purpose of this research is to create a 2D animation to socialize the application of the 5M health protocol used to prevent widespread transmission of Covid-19. The process of creating a 2D animation titled "Safe Family" is carried out in three stages. First, the pre-production stage includes defining ideas and concepts, writing scripts, storyboards, and audio recording. The production stage includes character creation, moving animation, inputting sound, and initial rendering (alpha test). The third step is the post-production stage, namely the final rendering. and evaluation (beta test). The results of the alpha test show the suitability of the idea, storyboard, and final rendering results. In addition, the results of beta testing show that on average 93.4% of respondents considered the 2D animation titled "Safe Families" to be appropriate for use as social media to prevent Covid-19 communication.
Implementasi Algoritma Logistic Regression pada Pembuatan Website Sederhana untuk Prediksi Penyakit Jantung Chyntia Raras Ajeng Widiawati; Lisa Nurazizah; Ika Romadoni Yunita
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2048

Abstract

Heart disease is a deadly disease, early recognition is important to prevent the fairly high death rate due to this disease. There are various ways to detect heart disease early, one of which is by utilizing machine learning. In this research, the author uses secondary data, namely data taken from the website www.kaggle.com for the prediction process. The amount of data used was 297 data, with details of 160 data not detecting heart disease, and 137 data detecting heart disease. Apart from making predictions from heart disease patient data using the logistic regression algorithm, this research also implements the model that has been created on the website. The results of implementing the logistic regression algorithm in this research are an accuracy value of 0.9, precision of 0.92, recall of 0.86, and f1-score of 0.89. After measuring using these 4 parameters, the model that has been created is then implemented into a simple website using the Rapid Application Development (RAD) method.
Co-Authors Achmad Masruri Adiya, Az Zahra Dwi Nur Alif Yahya Syafa'at Anjar Wati Anugerah Bagus Wijaya Atmaja Jalu Narendra Kisma Aulia Shafira Tri Damayanti Bambang Pilu Hartato Bela Tyara Nur Fajrina Danty Kusumaningtyas Delia Oktaviana Azzahra Dila Putri Sabil Fandy Setyo Utomo Febrianti, Diah Ratna Ganang Eko Saputro Gina Cahya Utami Ika Maulita Ika Romadoni Yunita Ilham, Rifqi Arifin Indra Alan Nugroho Irfan Rifai Aziz Lisa Nurazizah Luthfi Khaerunnisa Pungkas Subarkah Rahayu, Mia Setya Retno Waluyo Rizky Arsyansyah Rujianto Eko Saputro Saputra, Aina Aldi Sarmini Sarmini Sarmini Sarmini Sarmini Sri Hartini Suliswaningsih Tegar Insani Wahid, Arif Mu'amar Wiga Maulana Baihaqi Wiga Maulana Baihaqi Yuli Purwati Yuliana, Dwi Yunita, Ika Romadoni