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All Journal JOIN (Jurnal Online Informatika) Jurnal Mirai Management JOIV : International Journal on Informatics Visualization JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknoinfo JSiI (Jurnal Sistem Informasi) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Pendidikan Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Indonesia : Manajemen Informatika dan Komunikasi JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Prosiding Konferensi Nasional PKM-CSR eProceedings of Engineering Jurnal INFOTEL Journal of Community Service and Society Empowerment Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
Faqih Hamami
Telkom University, Bandung
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Journal : JURNAL REKAYASA INFORMASI SWADHARMA (JRIS)

 1 
PENERAPAN ALGORITMA K-MEANS UNTUK MEMETAKAN PERSEBARAN FASILITAS DAN TENAGA KESEHATAN DI KOTA BANDUNG Faqih Hamami; Iqbal Ahmad Dahlan
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 4, No 2 (2024): JURNAL JRIS EDISI JULI 2024
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol4no2.561

Abstract

Good health facilities and personnel are important elements in realizing public health. Several health facilities, such as hospitals, health centers, clinics, and pharmacies, act as a platform for health services. An unbalanced distribution of health facilities and personnel creates disparities in health quality. Population growth in Bandung City is a challenge for the distribution of health facilities. Inequality in each neighborhood has an impact on the difficulty of accessing health services and the quality of those services. Several studies have segmented health facilities separately from health workers. This study aims to map the distribution of health facilities and health workers together in Bandung City using the K-Means algorithm. Segmentation of facilities and health workers in the city of Bandung is done with the stages of data collection, data cleansing, data transformation, and data modeling, and then segmentation using a clustering approach with the K-Means algorithm. The results of the study, using the number k = 3, then formed clusters with low, middle, and high categories. Based on the segmentation results, a cluster was obtained consisting of 21 sub-districts that were lacking in health resources; 8 sub-districts were quite good, and 1 sub-district was abundant.Fasilitas dan tenaga kesehatan yang baik merupakan elemen penting dalam mewujudkan kesehatan masyarakat. Beberapa fasilitas kesehatan seperti rumah sakit, puskesmas, klinik dan apotek berperan sebagai wadah dalam layanan kesehatan. Distribusi fasilitas dan tenaga kesehatan yang tidak berimbang akan menciptakan kesenjangan dan kualitas kesehatan. Pertumbuhan penduduk di Kota Bandung menjadi tantangan untuk distribusi sarana kesehatan. Ketidakmerataan di setiap kecamatan mempunyai dampak kesulitan akses layanan kesehatan dan kualitas layanan yang rendah. Beberapa penelitian yang telah dilakukan banyak melakukan segmentasi fasilitas kesehatan secara terpisah dari tenaga kesehatan. Penelitian ini bertujuan untuk memetakan persebaran fasilitas dan tenaga kesehatan secara bersama-sama di Kota Bandung dengan menggunakan algoritma K-Means. Segmentasi fasilitas dan tenaga kesehatan di kota Bandung dilakukan dengan tahapan data collection, data cleansing, data transformation dan data modeling kemudian dilakukan segmentasi menggunakan pendekatan clustering dengan algoritma K-Means. Hasil penelitian dengan menggunakan jumlah k = 3 maka terbentuk kluster dengan kategori low, middle dan high. Berdasarkan hasil segmentasi diperoleh cluster yang terdiri dari 21 kecamatan yang kurang dalam sumber daya kesehatan, 8 kecamatan cukup baik dan 1 kecamatan yang berlimpah.
Co-Authors Agus Maolana Hidayat Ahmad, Mokhtarrudin Al amudi, Farhan Hasan Aldi Akbar Anis Farihan Mat Raffei Anis Farihan Mat Raffei Aprilia Mega Puspitasari Arrahmani, Farras Hilmy Aziz, Abdurrahman Brillian Adhiyaksa Kuswandi Budi Rustandi Kartawinata Dahlan, Iqbal Ahmad Deandra, Valen Deden Witarsyah Dimas Raihan Zein Dina Meliana Saragi Edi Nuryatno Fa'rifah, Riska Yanu Fadhil Hidayat Faishal Mufied Al Anshary Febrianti, Ferda Ayu Dwi Putri Ferda Ayu Dwi Putri Febrianti Ferda Ernawan Fetty Fitriyanti Lubis Firzania, Heidea Yulia Fitri Bimantoro Hadwirianto, Muhammad Raihan Helmayanti, Sheva Aditya I Gede Pasek Suta Wijaya Ilma Nur Hidayati Iqbal Ahmad Dahlan Iqbal Santosa Irfan Darmawan Ismail, Mohd Arfian Jauhari, M.Habib Jody Mardika Joel Rayapoh Damanik Khairunnisa Salsabila Riswanti Kurniawan, Muhammad Rayhan Lubis, Rizki Aulia Akbar Mangsor, Miza Mat Raffei, Anis Farihan Muhammad Azzam Imaduddin Muhammad Bryan Gutomo Putra Muhammad Fahmi Hidayat Muhammad Fauzan Nasrullah Muhammad Hafizh Murahartawaty Murahartawaty Nasrullah, Muhammad Fauzan Nicolaus Advendea Prakoso Indaryono Novanza, Alvin Renaldy Nuraliza, Hilda Nurul Hidayati Oktariani Nurul Pratiwi Orvalamarva Pratiwi, Oktaria Nurul Puruhita, Maretha Fitrie Rachmadita Andreswari Rahmah, Najma Syarifa Rahmat Fauzi Ramdani, Dwi Fickri Insan Razali, Raja Razana Raja Rd. Rohmat Saedudin Ruth Sesilya Ambarita Satya Nugraha, Gibran Sheva Aditya Helmayanti Silmy Sephia Nurashila Sinung Suakanto Suhono Harso Supangkat Sujak, Aznul Fazrin bin Abu Syfani Alya Fauziyyah Tatang Mulyana Tien Fabrianti Kusumasari Vina Fadillah Widyadhari, Dinda Putri Yudo Husodo, Ario Yulizar, Iqbal Yuni Kardila Zahid, Azham