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All Journal EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) INTECOMS: Journal of Information Technology and Computer Science Jurnal Informatika Kaputama (JIK) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Buana Ilmu Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi Buana Information Technology and Computer Sciences (BIT and CS) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Infotek : Jurnal Informatika dan Teknologi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Tika Jurnal Info Sains : Informatika dan Sains Dirgamaya: Jurnal Manajemen dan Sistem Informasi Abdimas Journal International of Lingua and Technology Jurnal Komtekinfo Jurnal Buana Pengabdian Innovative: Journal Of Social Science Research JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah INTERNAL (Information System Journal) CSRID
Tukino
Universitas Buana Perjuangan Karawang
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Journal : Infotek : Jurnal Informatika dan Teknologi

 1 
Implementasi Algoritma K-Means dalam Analisis Klasterisasi Penyebaran Penyakit Hiv/Aids Tita Puspita Sari; April Lia Hananto; Elfina Novalia; Tukino Tukino; Shofa Shofia Hilabi
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 1 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i1.7423

Abstract

The most crucial component of everyone's life is their health, especially for young people, health problems that often arise in the younger generation are promiscuity or free sex. HIV/AIDS cases were reported in the last 30 years, from 1992 to 2022 as many as 2,052 were infected with HIV/AIDS. Dozens of them are students and college students. This study's objective was to cluster the total cases of HIV/AIDS based on sub-districts in Karawang district. Seeing which areas need more attention in dealing with cases of HIV/AIDS transmission and the areas with the highest cases can serve as a manual for choosing the highest areas and these areas can be the main focus. The approach adopted for this study is data mining. To solve the existing problems, the authors use the K-Means algorithm using 4 clusters to find out which sub-district groups have very high, high, medium and low numbers of HIV/AIDS cases by calcualating the centroid/mean of the cluster data. The results of the study contained 4 clusters as follows: cluster 0 with low criteria earned 73%, cluster 1 with very high criteria earned 3%, cluster 2 with medium criteria earned 7%, and cluster 3 with high criteria earned 17%.
Co-Authors Aditia Agustian Adittia Agustian Agneresa Agneresa Agry Alfiah Agustia Hananto Ahmad Fauzi Ammar Sufyan April Lia Hananto Aprilia Putri Nardilasari Aurel Adhitya Anwar Awaljan Situmorang Baenil Huda Bei Harira Irawan Catur Nugroho Daffa Agung Pratama Danny Manongga Daryanto Herdiana Deddy Prihadi Dien Noviany Rahmatika Dyno Syaiful Annam Faqih Pratama Muthi Fitria Nurapriani Fitria Nurapriani Fizra Firdaus Nillan Gunawan Gunawan Hafizh Dharmawan I Gede Iwan Sudipa Ina Julia Indra Ferdiansyah Insan Kamaludin Arifin Irpan Hilmi Ismi Karniawulan Jabar Sanjaya Kamila Berkah* Luiz Eichler Muammar Khaddafi Muhamad Djaka Permana Muhamad Rizky Arfani Muhammad Hatami Muhammad Khaerudin Muslih, Muhamad Naufal Zubdi Ahnaf Novalia, Elfina Novia Cahya Utami Piky Mubarok Priyatna, Bayu Rachmawati Novaria Riandi Nandaputra Ruliansyah Ruliansyah Saepul Aripiyanto Saepul Aripiyanto Sandi Ahmad Seia Piantara Shofa Shofia Hilabi Shofa Shofiah Hilabi Siti Masruroh soleman soleman Sutarto Sutarto Tatuhey, Emy Lenora Tiago Silva Tita Puspita Sari Tyas Widyanti Wahyu Azriel Akbari Widiyawati Widiyawati Witulas Ambang Cahyati Wresti Andriani