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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Journal of Computer Science Contributions (Jucosco) Jurnal Riset Informatika dan Teknologi Informasi (JRITI)
Ardhiyanto, Ozzi
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Computer Science & IT Decision Sciences, Operations Research & Management

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Exemplary Teacher Selection Using a VIKOR-Based Decision Support System Handayani, Dwipa; Yusuf, Dani; Larasati, Gabriella Putri; Ardhiyanto, Ozzi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.8311

Abstract

Yadika 13 Tambun Vocational School has criteria where the school does not yet have a system that can support a decision. The decision support system (DSS) for selecting exemplary teachers in appreciating teacher performance presentations that have been made while teaching staff is expected to increase motivation so that they can improve their performance. Many DSS methods are used to find a decision in this study. The method to be used is VIseKriterijumska Optimizacija I Kompromisno Resenje, (VIKOR) which can produce the best alternative in the form of ranking of an existing sample by looking at the utility values and weights of each sample. This study describes the design of a decision support system for conducting assessments in selecting exemplary teachers at SMK Yadika 13 Tambun. System design using UML (Unified Modeling Language). The decision support system (DSS) is very helpful for those who will carry out the assessment process, before there was a decision support system the school always found it difficult to assess because it took quite a long time, the assessment was still done manually, it was difficult to calculate the assessment, sometimes there is an error in the assessment results. Therefore, this decision support system, it can help the school minimize these problems.
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.
Clustering of Child Nutrition Status using Hierarchical Agglomerative Clustering Algorithm in Bekasi City ardhiyanto, ozzi; Ajif Yunizar Pratama Yusuf, S.Si, M.Eng; Salam Asyidqi, Muhammad; Dr. Tb. Ai Munandar, S.Kom., MT
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.v2i1.41

Abstract

Clustering infant nutrition based on weight, height, and age is a data analysis method used to group infant nutritional status based on these characteristics. The research on clustering infant nutrition aims to analyze whether there are still many infants in the area with insufficient or excessive nutrition, and to identify groups of infants requiring special attention regarding their nutritional intake. In the analysis of infant nutrition clustering, data on weight, height, and age of infants are collected and then grouped based on similarities in body height and weight at certain ages. The method used in this research is hierarchical clustering, which can help in grouping the data. Clustering analysis can help understand how infants' feeding patterns vary based on their weight, height, and age. The results of research on clustering infant nutrition based on weight, height, and age can provide valuable insights for nutrition experts, pediatricians, and community health workers in developing appropriate intervention programs to improve infant feeding patterns and meet their nutritional needs. Additionally, the results of clustering infant nutrition can also be used to identify groups of infants requiring special attention regarding their nutritional needs, thus minimizing the risk of malnutrition and unhealthy growth in infants.
Co-Authors Ajif Yunizar Pratama Yusuf Asghor, Ali Dani Yusuf Dr. Tb. Ai Munandar, S.Kom., MT Dwidayanto, Ardiansyah Dwipa Handayani Fadhillah, Muhammad Fahmi Fadilah, Fikki Arsyi Nur Kurniawan, Kelvin Kusumah, Muhammad Assegaf Raja Larasati, Gabriella Putri Nafianto, Dwi Pamungkas, Arya Panca Salam Asyidqi, Muhammad Zahir, Muhammad Rafli Alta