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All Journal Jurnal Mantik Penusa INTECOMS: Journal of Information Technology and Computer Science Jurnal Riset Informatika ComTech: Computer, Mathematics and Engineering Applications Jurnal Mantik Journal of Intelligent Decision Support System (IDSS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bulletin of Information Technology (BIT) Jurnal Hukum dan Sosial Politik Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Testing dan Implementasi Sistem Informasi
Muhammad Iqbal
Universitas Pembangunan Panca Budi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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Journal : Jurnal Riset Informatika

 1 
Analyzing the Level of Anxiety Disorders of Final-Year Students by Applying the Fuzzy Mamdani Method Virdyra Tasril; Muhammad Iqbal; Febby Madonna Yuma
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.545

Abstract

Anxiety disorders are included in mental health disorders that are more or less experienced by society. The focus of this study was samples of final-year students who felt this disorder both psychologically and psychologically. Disorders often experienced by the average panic disorder worry from thesis guidance to conducting the final trial due to student unpreparedness and lack of confidence. The purpose of this study is to obtain the results of an analysis of the results of the diagnosis of anxiety disorders in final-year students. The indicators used are three variables, physical, cognitive, and behavioral, each with its symptoms. The fuzzy Mamdani method is used with the help of Matlab software to analyze the results. Based on five samples of students with anxiety disorders experienced by final-year students aged 20-22, the largest was in cognitive disorders, and the lowest was in behavioral variables.
Analyzing the Level of Anxiety Disorders of Final-Year Students by Applying the Fuzzy Mamdani Method Virdyra Tasril; Muhammad Iqbal; Febby Madonna Yuma
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.226

Abstract

Stunting in toddlers is defined as a condition of failure to thrive due to chronic malnutrition in the long term. The problem of stunting in Indonesia is an issue that is still a concern for the Indonesian government. The prevalence of stunting in Indonesia is still relatively high, coupled with the COVID-19 pandemic, which has impacted the economic sector. For this reason, research on stunting is still a critical topic. This study aims to classify toddler stunting using the k-Nearest Neighbor classification algorithm and build a website-based early detection application for toddler stunting cases. The research results using the k-Nearest Neighbor Algorithm trial obtained a relatively high accuracy of 92.45%. Implementing an early detection system for stunting cases has proven to help health workers classify toddlers as stunted or not. This application is also helpful as an archive and facilitates data reporting. The application has eight main menus: the Puskesmas data menu, Posyandu data, toddler data, weighing, weighing results, development menu, and stunting early warning menu, which contains malnourished and stunted toddlers.
Co-Authors , Arpan Ahkyar Khadafi Astri Aprilia Pratiwi Atja Ramadhan Boy Rizky Akbar Chairul Rizal DWI SURYANTO Efendi, Syahril Eko Hariyanto Firdaus Firdaus Hafizh Sallam Kairul Fahmi Kurnia Wira Syahputra Muhammad Adli Afdika Muhammad Eka Muhammad Israr Fathoni Muhammad Noor Hasan Siregar Niska, Debi Yandra Putra, Randi Rian Rindi Antika Sapna Indah Br Ginting Sartika Siburian Siti Hapsoh Lubis Sumarno Supiyandi Supiyandi Syaiful Asmi Hasibuan