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All Journal Medical Journal of Al-Qodiri : Jurnal Keperawatan dan Kebidanan INTECH (Informatika dan Teknologi)
Cahya Kamila
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing Public Health

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Journal : INTECH (Informatika dan Teknologi)

 1 
Systematic Literature Review: Penggunaan Algoritma K-Means Untuk Clustering di Indonesia dalam Bidang Pendidikan Cahya Kamila
INTECH Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.161 KB) | DOI: 10.54895/intech.v2i1.866

Abstract

K-Means is a non-hierarchical data clustering method that can group data into several clusters based on data similarity, so that data with the same characteristics are grouped in one cluster and data with different characteristics are grouped in another cluster. The K-Means method can be used to process various data, including for clustering in the field of education. The use of the K-Means algorithm has been widely carried out but not many activities have been handled and are only often used for selection or acceptance activities and the use of attributes that must be reproduced to get optimal results. In this study, we will review various papers that perform clustering using the K-Means method for research in the field of education. Based on our research, papers related to the use of the K-Means algorithm for clustering in education have proved feasible and useful for future research. So it can be concluded that the K-Means method has been tested to be used for clustering in the field of education and the K-Means method can be useful in many aspects of education, both having an impact on educators, students and other educational aspects.
Penerapan Metode Scrum pada Pembuatan Aplikasi Sistem Tanda Tangan Digital dengan QR Code Berbasis Website Cahya Kamila
INTECH Vol 3 No 1 (2022): INTECH (Informatika Dan Teknologi)
Publisher : Program Studi Informatika Fakultas Teknik dan Komputer Universitas Baturaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v3i1.1175

Abstract

Sign systems that are still traditional are considered less effective and are starting to be replaced by digital because they can save resources and time compared to having to meet in person the traditional way. According to several studies that have been reviewed previously, the use of digital signatures using a QR Code based on a website has proven to be effective and efficient to implement. At this time the use of digital signatures has begun to be used in various places, because signatures that are done manually using a wet pen are considered less efficient because it requires a long process and is easy to manipulate, which causes the validity of the signature to decrease. . With these problems, we developed a Website-Based Digital Signature System for the Informatics and Computer Engineering Education Study Program, State University of Jakarta by applying the scrum method. Scrum is an additional responsive framework for developing software and managing product or application development. Scrum is a complex process in which many factors affect the final result. Based on our development, we conclude that it is proven that the existence of a website-based signature application using a QR Code can make the signature process more efficient and effective and can increase the level of validity of the signature because QR Codes are difficult to manipulate. that we created can be applied in many places and reduce the problem of the length of the process of requesting a signature.
Systematic Literature Review: Penggunaan Algoritma K-Means Untuk Clustering di Indonesia dalam Bidang Pendidikan Cahya Kamila; M. Adiyatma A.S; Gabriella Resi Namang; Rizky Ramadhan Fadila Syah
INTECH (Informatika dan Teknologi) Vol 2 No 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.866

Abstract

K-Means is a non-hierarchical data clustering method that can group data into several clusters based on data similarity, so that data with the same characteristics are grouped in one cluster and data with different characteristics are grouped in another cluster. The K-Means method can be used to process various data, including for clustering in the field of education. The use of the K-Means algorithm has been widely carried out but not many activities have been handled and are only often used for selection or acceptance activities and the use of attributes that must be reproduced to get optimal results. In this study, we will review various papers that perform clustering using the K-Means method for research in the field of education. Based on our research, papers related to the use of the K-Means algorithm for clustering in education have proved feasible and useful for future research. So it can be concluded that the K-Means method has been tested to be used for clustering in the field of education and the K-Means method can be useful in many aspects of education, both having an impact on educators, students and other educational aspects.
Penerapan Metode Scrum pada Pembuatan Aplikasi Sistem Tanda Tangan Digital dengan QR Code Berbasis Website Cahya Kamila; Yoga Rizky Putra; Tohpatti Crippa Praha
INTECH (Informatika dan Teknologi) Vol 3 No 1 (2022): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v3i1.1175

Abstract

Sign systems that are still traditional are considered less effective and are starting to be replaced by digital because they can save resources and time compared to having to meet in person the traditional way. According to several studies that have been reviewed previously, the use of digital signatures using a QR Code based on a website has proven to be effective and efficient to implement. At this time the use of digital signatures has begun to be used in various places, because signatures that are done manually using a wet pen are considered less efficient because it requires a long process and is easy to manipulate, which causes the validity of the signature to decrease. . With these problems, we developed a Website-Based Digital Signature System for the Informatics and Computer Engineering Education Study Program, State University of Jakarta by applying the scrum method. Scrum is an additional responsive framework for developing software and managing product or application development. Scrum is a complex process in which many factors affect the final result. Based on our development, we conclude that it is proven that the existence of a website-based signature application using a QR Code can make the signature process more efficient and effective and can increase the level of validity of the signature because QR Codes are difficult to manipulate. that we created can be applied in many places and reduce the problem of the length of the process of requesting a signature.
Co-Authors Ahmad Fauzan Gabriella Resi Namang M. Adiyatma A.S Nur Halimah Rizky Ramadhan Fadila Syah Tohpatti Crippa Praha Yoga Rizky Putra YULY ABDI ZAINURRIDHA