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All Journal Jurnal TIMES Conference on Innovation and Application of Science and Technology (CIASTECH) G-Tech : Jurnal Teknologi Terapan Idealis : Indonesia Journal Information System Jurnal Teknik Informatika (JUTIF) Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Teknologi Kimia Unimal INOTEK Jurnal Teknik Terapan (J-TETA) JUSIFOR : Jurnal Sistem Informasi dan Informatika Adopsi Teknologi dan Sistem Informasi Nuras : Jurnal Pengabdian Kepada Masyarakat Eastasouth Journal of Effective Community Services JUSTIFY : Jurnal Sistem Informasi Ibrahimy JEECS (Journal of Electrical Engineering and Computer Sciences) COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Mutiara: Multidiciplinary Scientifict Journal Abdi Samulang : Jurnal Pengabdian Kepada Masyarakat SmartComp Jurnal Pengabdian Sosial JUAN: Jurnal Pengabdian Nusantara ZONA: Jurnal Pengabdian Masyarakat JAR'S (Journal of Advanced Research in Informatics) Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital JUKEMAS : Jurnal Pengabdian Kepada Masyarakat
Fatah, Zaehol
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Journal : JEECS (Journal of Electrical Engineering and Computer Sciences)

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Application of K-means Clustering Data Mining in Grouping Data of People with Disabilities Bahauddin, Moh.; Fatah, Zaehol
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.6

Abstract

Data mining is critical in enabling organizations to derive reliable insights from data. Social welfare remains a significant challenge in Indonesia, particularly for people with disabilities, emphasizing the need for targeted strategies. However, developing research has not used natural characteristics according to disability problems. This study utilizes the K-Means Clustering algorithm to analyze and categorize the population of people with disabilities in East Java. The attributes include the type of disability, population size, and regional distribution. We employs a dataset from the East Java Central Bureau of Statistics, comprising 342 data points across eight attributes, including region, disability type, and year. The analysis involves data preprocessing, transformation, clustering, and evaluation using the Davies-Bouldin Index (DBI). The results identify two optimal clusters, achieving the lowest DBI score of 0.097, indicating high cluster quality. Cluster 0 represents regions with fewer people with disabilities, while Cluster 1 highlights areas with higher populations. These findings provide a foundation for developing more focused and inclusive welfare programs tailored to regional needs, enhancing the quality of life for people with disabilities.
Co-Authors ABDUS SAMAD Abrori, Syariful Adi Susanto Adiba, Naila Afandi, Muhammad Dzikry Afifah, Fatma Nur Ahmad Afandi Ahmad Homaidi Aini, Imroatin Arifatul Aizah, Nur Akhlis Munazilin, Akhlis Alfiansyah, Noer Dian Alwi, As'ad Anisa, Halifatus Ardiansyah, Lukman Hakim Atika, Komang Nitari Badrus Sholeh Bahauddin, Moh. Baijuri, Achmad Candra, Ongky Ali Damayanti, Alfina Damayanti Diandhita, Safna Dwi Norrepa Efendi, Ahmad Fadil Dwi Fahimurridho, Ahmad Faidah, Mutmainnah Ilmiatul Febrian, Fikri Fernando, Ahmad Wahyu Firmandala, Legi Octa Sofyan Halilatul Muallafa Hamdani, A. Hasan Basri Holidiyah, Na'imatul Homaida, Nur Ida Ayu Putu Sri Widnyani irma yunita Ismael, Kharisma Ayu Jundanuddin, Muhammad Lazim, Farihin Lidimilah, Lukman Lidimilah, Lukman Fakih Lutfi, Zainul Lutfiana, Nurisma Mahtum, Rohiqim Majid, Muhammad Sabilillah Marwan Marwan Muasaroh, Yurida Islahatul Muhammad, Aqil Furqoni Mulianingsih, Suci Nafi'ah, Lailin Nazila, Jamilatun Nur Indahsari, Luluk Nurdiana, Alfi Nurhasanah, Yeni Nuril Maghfiratus Sholeha, Siti Prasetyo, Jarot Dwi Qori'ah, Arafah Amaliyah Qori'ah, Arifah Amaliyah Rahmawati, Nurul Qolbi Rofiq, Ahmad Tahqiq Safitri, Lulu Saleh, Taufik Santoso, Firman Saputra, Zuhrian Nur Savira, Anggita Yusiana Sinta, Sinta Masruroh Siti Khoiriyah Sobri, Miftahus Syakirin, Muhammad Irham Tholibah, Wafrotut Uswatul Muftakiyah Wilda, Sufil Zubairi, Ach.