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All Journal CCIT (Creative Communication and Innovative Technology) Journal Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics
Vera Nurlia
Universitas Cendekia Abditama, Tangerang, Indonesia
Computer Science & IT Control & Systems Engineering

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Comparison of the K-Means Method with the K-Medoids Method for Recipient Infant Clustering Measles Immunization Muhammad Faisal; Wiranti Sri Utami; Vera Nurlia; Nila Pratiwi
CCIT (Creative Communication and Innovative Technology) Journal Vol 17 No 1 (2024): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v17i1.2775

Abstract

Measles or meales is a disease that can be transmitted, if someone who is affected by measles is in the same room with other people who have never been exposed to or received the measles vaccine, it is estimated that they will be infected with measles. The measles vaccine is a very effective vaccine for preventing measles. This type of vaccine is included in the routine immunization program recommended by the Ministry of Health of the Republic of Indonesia. So far, there are two types of measles vaccine, namely the MR vaccine and the MMR vaccine. The MR vaccine is used to prevent measles and rubella, while the MMR vaccine prevents measles, rubella and mumps. The target of vaccine administration can be observed by applying the data mining method, while the data mining method that can be used in this study is by using K-Means and K-Medoids. The purpose of this study was to compare the K-Means and K-Medoids methods in analyzing the achievement of vaccine administration to infants aged 9 months to 18 months. The results of the study obtained optimal k values of 21 provinces with the highest cluster of 3 using the K-Means algorithm, while the optimal K values of 10 provinces with the highest cluster of 3 were obtained using the K-Medoids algorithm.
Rancang Bangun Aplikasi Perpustakaan Berbasis Web Menggunakan YII Framework Wiranti Sri Utami; Vera Nurlia; Muhammad Faisal
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 1 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i1.2829

Abstract

Information technology is currently very developed, as libraries already use information technology to provide information about the process of borrowing and returning books. The library is a place that is always there in every tertiary institution, where all collections of books are neatly arranged on the library bookshelves, making it easier for library visitors to find the book they want to read. This study discusses how the process of entering book data, member data, book loan data and book return data makes it easier for officers to record various information into an intelligent library application. In this study, several methods were used, namely the waterfall method as system analysis, then in system design using UML (Unified Modeling Language) as a flow diagram of a proposed system and the Black Box method as a system testing method. This intelligent library application uses the Yii Framework to develop web-based applications. The final results of this research produce a web-based intelligent library application using the Yii Framework to make it easier for officers to store data, manage data and display the required information easier and faster.
Co-Authors Muhammad Faisal Muhammad Faisal Nila Pratiwi Wiranti Sri Utami