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All Journal Journal of Computer Science Contributions (Jucosco) Jurnal Riset Informatika dan Teknologi Informasi (JRITI)
Kusumah, Muhammad Assegaf Raja
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Computer Science & IT

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Penerapan Aplikasi Stunting Pada Posyandu Kenanga Sebagai Gerakan Masyarakat Sadar Stunting Handayani, Dwipa; Ardhiyanto, Ozzi; Kusumah, Muhammad Assegaf Raja; Asghor, Ali; Dwidayanto, Ardiansyah; Kurniawan, Kelvin; Nafianto, Dwi; Fadilah, Fikki Arsyi Nur; Pamungkas, Arya Panca; Fadhillah, Muhammad Fahmi; Zahir, Muhammad Rafli Alta
Journal Of Computer Science Contributions (JUCOSCO) Vol. 4 No. 1 (2024): Januari 2024
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/fa5vx492

Abstract

Stunting, or impaired growth in children, represents a serious and complex global health phenomenon. This article provides a general overview of stunting, encompassing definitions, risk factors, impacts, and prevention efforts. Stunting is closely linked to nutritional aspects, particularly during the first one thousand days of life, including the prenatal period and the first two years of a child's life. Major risk factors involve inadequate nutrition, poor sanitation, and unsupportive socio-economic environments. A profound understanding of stunting, both from health and social perspectives, serves as a foundation for students to engage in prevention and intervention efforts. Students can contribute through community service activities, nutrition education campaigns, and innovative projects aimed at raising awareness about the importance of early nutritional intake. Student involvement at the local level can be pivotal in bridging the gap between science and society, improving access to information, and stimulating behavioral changes. Furthermore, this article highlights the potential of students in the research domain, exploring further knowledge about the underlying factors of stunting and evaluating the effectiveness of existing programs. By integrating students into the stunting prevention agenda, it is hoped that useful and effective programs and applications will be developed to enhance the health of children.
Deteksi Status Internal Battery UPS Berdasarkan Hasil Pengukuran Resistansi Dari Battery Tester Menggunakan Algoritma C4.5 Kusumah, Muhammad Assegaf Raja; Setyawati, Ananda; Wardana, Muhammad Bisma Arya; Tb Ai Munandar; Ajif Yunizar Pratama Yusuf
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 1 (2024): Agustus - November 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v2i1.44

Abstract

The purpose of this research is to propose a classification model using the decision tree method that can detect the internal status of UPS batteries by using resistance measurements from a battery tester. Resistance data of UPS batteries were collected from measurements conducted under various conditions. This study focuses on supervised learning models, where the data is processed to form a decision tree using the C4.5 classification algorithm. The test results show that the classification of UPS battery internal status can be achieved with high accuracy. The data presentation results were obtained from 100 units of battery systems in UPS, with two conditions identified: 38 units of batteries with a Normal condition and a presentation data accuracy rate of 100%, and 62 units of batteries with a Fault condition and a presentation data accuracy rate of 100%. By using this classification model, users can monitor the performance of the internal battery in the UPS system and take necessary actions to maintain stable UPS system operation and usage.
Co-Authors Ajif Yunizar Pratama Yusuf Ardhiyanto, Ozzi Asghor, Ali Dwidayanto, Ardiansyah Dwipa Handayani Fadhillah, Muhammad Fahmi Fadilah, Fikki Arsyi Nur Kurniawan, Kelvin Nafianto, Dwi Pamungkas, Arya Panca Setyawati, Ananda Tb Ai Munandar Wardana, Muhammad Bisma Arya Zahir, Muhammad Rafli Alta