Reza Andrea
Politeknik Pertanian Negeri Samarinda, Samarinda

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Penerapan Algoritma K-Medoids Untuk Pengelompokan Data Penerima Bantuan Uang Kuliah Tunggal Bagi Mahasiswa Terdampak Covid-19 Reza Andrea; Nursobah Nursobah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.019 KB) | DOI: 10.47065/bits.v3i4.1294

Abstract

The ongoing Covid-19 pandemic period greatly affects various aspects of life, one of which is the issue of the economy. This problem has an impact on the field of education, one of which is at the university level. where many students whose parents/insurers of tuition fees are experiencing financial constraints due to the impact of the Covid-19 pandemic. So we need an effective way as a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the group of UKT recipients. There are many ways that can be used, one of which is by utilizing data mining to group data for students who are entitled to get UKT using the K-Medoids method. The application of the K-Medoids method is used to group data on students who are eligible to receive UKT assistance funds with the aim of being a recommendation in analyzing student data based on the socioeconomic status of each student's parents in determining the UKT recipient group for the university. Whatever the results of the application of the K-medoids method, a group that deserves to be recommended is based on the results of Cluster / Grouping 0 with a total student data of 8 people based on the results of consideration of the criteria used, namely Parents' Occupation, Home Ownership Status and Parents' Income
Sistem Pendukung Keputusan Penentuan Lokasi Strategis Dalam Membangun Bisnis Usaha Menggunakan Metode Promethee II Nursobah Nursobah; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3997

Abstract

Business is a very important activity in advancing the economy of a region, business development certainly requires a strategic location in building a good image and opportunity in a new place, often businesses that have developed experience destruction and even substantial losses due to a decision. in choosing the wrong new location can affect the development of the pace of business and the business as a whole, mistakes in choosing a business location can result in many unwanted risks occurring in the future, several internal and external risks that will affect the company if one chooses a strategic location, so it is important take a decision in choosing a strategic location in building a business using a system, the system is able to calculate several possibilities with predetermined criteria, the decision support system in this research uses the promethee II method, the method this is a method developed from the promethee method, this method has a higher level of accuracy. The results of this study selected location A as an alternative that has the highest rating level of 0,081659, it shows that this location is the best location to set up a business
Penerapan Algoritma K-Medoids Clustering Dalam Pembentukan Zona Cluster Vaksin Boster Siti Lialiyah; Reza Andrea
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): Juni 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.372 KB) | DOI: 10.47065/bits.v4i1.1617

Abstract

The effects of the COVID-19 virus pandemic are quite bad for people's lives both in Indonesia and especially in North Sumatra. The spread of the virus is quite fast from the interaction of every community, causing the government to make policies to limit the activities of each community. In addition to policies in limiting community activities, the government also makes policies by distributing vaccines for free to every community starting from the first vaccine, the second and last vaccine is the third vaccine (booster). The purpose of the vaccine itself is to stimulate the body's antibodies to recognize the weakened virus in the vaccine. The aim of the vaccine is to slow the spread of the virus itself. The third vaccine (booster) is a complementary vaccine given by the government so that antibodies can completely inhibit a person from being affected by the COVID-19 virus. Therefore, it is necessary to accelerate the process of administering the third vaccine (booster). This can be done by forming clusters in each region. The purpose of forming clusters is to be able to identify priority areas that should be given the third vaccine (booster). Therefore we need a technique that is able to group/cluster the third vaccine administration zone (booster). One technique that can be used is the K-Medoids Algorithm. The expected results of the research using the K-Medoids Algorithm are able to form a cluster zone which will later be able to find out which areas are the priority for giving the third vaccine (booster).