Abstract
Thousands Ministry Regulations are found in Indonesia shows that it is a big number. These regulations are intended to focus on various fields in order to be upheld in the public interest. It has recently been discovered that the numbers are increasing and some are no longer enforced. Clustering in data mining can be used to find out the focus of problems are often discussed at each ministry. The method that will be used for clustering ministry regulation data is the K-Means algorithm. K-Means is a non-hierarchical data clustering method partitions data into clusters so data that has the same characteristics will be grouped into one cluster and data that has different characteristics will be grouped into another cluster. This research was conducted by conducting data collection, data cleaning, data processing, and visualization of the results. The results of this paper are grouping the best ministerial regulations into four clusters that have an inertia value of 405.142786991133. Cluster 0 is a collection of regulations on the empowerment of children, women, and victims of violence. Cluster 1 is a collection of regulations on environmental policies in both flora and fauna. Cluster 2 is a collection of regulations relating to science and professionalism. Cluster 3 is a collection of regulations relating to the safety of the creative economy in the field of tourism.
Highlights
Abstrak— Ribuan Peraturan Kementerian yang ditemukan di Indonesia menunjukkan bahwa jumlahnya besar
Thousands Ministry Regulations are found in Indonesia shows that
These regulations are intended to focus on various fields in order to be upheld in the public interest
Summary
Dalam kehidupan ini terdapat kebebasan yang diberikan kepada setiap individu. Bagaimana kebebasan tersebut tidak merugikan satu sama lain dan saling menguntungkan adalah dengan memberikan peraturan. Berdasarkan Undang-Undang Republik Indonesia Nomor 39 Tahun 2008 tentang Kementerian Negara, kementerian adalah perangkat pemerintah yang membidangi urusan tertentu dalam pemerintahan. Peraturan Kementerian merupakan peraturan yang dikeluarkan oleh kementeriankementerian negara masing-masing dengan tujuan mengatur sesuatu hal (Regeling) dan melakukan pengangkatanpengangkatan (Beschikking) [2]. Untuk mengetahui kondisi dan permasalahan apa yang sering dibahas maka akan dilakukan pengelompokan Peraturan Kementerian dengan menggunakan analisis clustering. K-Means Clustering adalah metode cluster data mining menggunakan descriptive model untuk menjelaskan algoritma pengelompokan objek dengan karakteristik yang sama. Analisis yang dilakukan bertujuan untuk mengetahui pengelompokan data Peraturan Kementerian melalui teknik data mining, di mana pengolahan data menggunakan algoritma K-Means Clustering. Output tersebut dapat digunakan untuk mengetahui permasalahan apa saja yang banyak menjadi fokus dari Peraturan Kementerian.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
