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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Penelitian Komunikasi dan Opini Publik Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ilmiah Matrik Sebatik Building of Informatics, Technology and Science TEPIAN Buletin Poltanesa Informatika Wicida Jurnal Nasional Teknik Elektro dan Teknologi Informasi JURNAL MUARA PENDIDIKAN Abadi: Jurnal Ahmad Dahlan Mengabdi Jurnal Lentera Pengabdian ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Reza Andrea
Politeknik Pertanian Negeri Samarinda, Samarinda
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Building of Informatics, Technology and Science

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Penerapan Algoritma K-Medoids Untuk Pengelompokan Data Penerima Bantuan Uang Kuliah Tunggal Bagi Mahasiswa Terdampak Covid-19 Andrea, Reza; Nursobah, Nursobah
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 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
Penerapan Algoritma K-Medoids Clustering Dalam Pembentukan Zona Cluster Vaksin Boster Lialiyah, Siti; Andrea, Reza
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 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).
Co-Authors AA Sudharmawan, AA Addy Suyatno Afriany, Joli Agus Rineng Mattola Agustinus Baretto Petrus Anggen Ahmad Rofiq Hakim Ahmad, Faqih Nur Alameka, Faza Andi Yusika Andriawan Angga Pratama annafi franz, annafi Ardan, M Asti Melani Persius Awang Harsa Kridalaksana Awang Harsa Kridalaksana AYU LESTARI Azahari Bambang Kurniawan Beze , Husmul Budi Rachmadani Caroline, Audy Nabila Cladio Alessandro Ryan Tobi Dani Wahyudi Wahyudi Dedy Cahyadi Dedy Cahyadi, Dedy Devian Antoni Dharma Deny Ekawati Yulsilviana Emil Riza Putra Fachry Abda El Rahman Fadila Tiara Fahmi Fitnanda Fahrul Agus Fajar Ramadhani Faqih Nur Ahmad Harianto, Kusno Harpad, Bartolomius Harpad, Bartolomius Hurang, Christianus Natalis Husmul Beze, Husmul Ida Maratul Khamidah Imron Imron, Imron Indah Fitri Astuti Indah Fitri Astuti, Indah Fitri Inka Sandy Taruna Isnaynun, Isnaynun Junirianto, Eko Karim, Syafei Khoirunnita, Aulia Lialiyah, Siti M. Irwan Ukkas Irwan Ukkas Ukkas Maria, Eny Markarius Paso Mira Dewi Yustina Muhammad Audi Yordana Muhammad Fahmi Muslimin Muslimin Nabile, Daniel Niansyah, Sugih Nona, Risna Nurhasanah Nurhasanah Nurhuda, Asep Nursobah, Nursobah Nurul Ikhsan Pahrudin, Pajar Pitrasacha Adytia Rachmadani, Budi Ramadhani, Budi Ramadiani - Riko Raynol Hasan Rosita, Dewi Rosmasari Rosmasari Rosmasari Rudito Rudito Salmon Salmon Salmon Salmon, Salmon Sari, Seli Puspita Sefty Wijayanti Shinta Palupi Shinta Palupi Siti Lailiyah Siti Lailiyah Siti Lailiyah, Siti Siti Qomariah Suci Ramadhani, Suci Suswanto Suswanto Suswanto Suswanto Suswanto Suswanto Suswanto, Suswanto Syamsuddin Mallala Tri Hannanto Saputra Wahyudi, Dani Wahyudi Wahyuni - Wahyuni Wardana, Yustinus Rosa Indra Wijayanti, Sefty Wijayanti, Sefty Yulianti Yulianti Yulianto Yulianto Yulianto Yunita Yunita Zulkifli Syahrir Ramadhan