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All Journal Jurnal Informatika dan Rekayasa Perangkat Lunak E-Link: Jurnal Teknik Elektro dan Informatika INOVASIA
Denni Pratama
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Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics

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PENERAPAN METODE K-MEANS CLUSTERING DALAM MENGELOMPOKKAN JUMLAH PESERTA BPJS KESEHATAN JKN/KIS DI KABUPATEN CIREBON TRI ANANDA WIDYANINGSIH; Denni Pratama
E-Link: Jurnal Teknik Elektro dan Informatika Vol 18 No 1 (2023): Mei 2023
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v18i1.5330

Abstract

BPJS Kesehatan adalah Badan Penyelenggara Jaminan Sosial Kesehatan yang dilaksanakan oleh pemerintah sesuai dengan UU No.40 Tahun 2004 Peserta yang menjadi anggota akan mendapatkan Kartu Indonesia Sehat ,karena Jumlah Peserta BPJS Kesehatan JKN/KIS yang belum merata di setiap wilayah yang ada di kabupaten Cirebon ada yang sedikit dan banyak. Penelitian ini bertujuan untuk menggelompokkan peserta BPJS Kesehatan Jkn/Kis di Kabupaten Cirebon ke dalam beberapa kelompok sample penelitian ini di peroleh dari Dataset Open Data Jabar yaitu Jumlah Peserta BPJS Kesehatan dengan Jumlah 412 Dataset Peserta BPJS Kesehatan JKN/KIS di Kabupaten Cirebon. Metode K-Means adalah metode yang tepat untuk di gunakan untuk mengelompokkan jumlah Peserta BPJS Kesehatan Jkn/Kis Di Kabupaten Cirebon yang cukup banyak dengan waktu yang relatif cepat dan efisien dengan menggunakan machine learning dengan tools Rapidminer. Hasil pengelompokan dinilai dengan Davies Bouildin Index untuk mengetahui hasil optimasi terhadap algoritma K-Means. Hasil Clustering didapatkan kelompok terbanyak peserta BPJS kesehatan maka Cluster_0: Kelompok Rendah sejumlah 86 Peserta, Cluster_1: Kelompok sedang Peserta BPJS Kesehatan sejumlah 156 Peserta, dan Cluster_2: Kelompok Banyak sejumlah 170 Peserta. Dengan nilai K=3 sebagai nilai Optimum dengan nilai DBI = 0.164.
Analisis Tingkat Penggunaan Gadget pada Anak Usia Dini dengan menggunakan K-Mean Khaerul Anam; Rizal Rusyana; Bani Nurhakim; Denni Pratama
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10317

Abstract

The use of gadget devices in early childhood has become an increasing concern in recent years. influence on human thinking patterns because devices can find data quickly for children. Research on the consequences of using gadgets in early childhood has its own significance in understanding its impact on their development. In this study, an analysis was carried out on the level of gadget use in early childhood by applying the K-Means algorithm. The K-Means algorithm is used to group the level of gadget use in children, allowing the identification of groups that have similar characteristics. The aim of this research is to evaluate and understand the level of gadget usage by young children in response to technological developments, as well as to develop an effective method or approach in classifying their gadget usage patterns by utilizing the K-Means algorithm. Thus, this research aims to provide in-depth insight into gadget use patterns in young children, which can be the basis for developing better strategies or policies regarding technology use in this age group. From a total of 332 questionnaire responses, 14 groups were found based on the best DBI scores with different category distributions, namely "very often", "often", "sometimes", "rarely", and "never" with each percentage of 1 % (2 people), 24% (80 people), 0%, 71% (235 people) and 5% (15 people).
Implementation Of Clustering With The K-Means Algorithm Method In Hospital Grouping In West Java: Penerapan Clustering Dengan Metode Algoritma K-Means Pada Pengelompokan Rumah Sakit Di Jawa Barat Nurhaeningsih; Denni Pratama
INOVASIA Vol 1 No 2 (2023): April
Publisher : LPPM Institut Studi Islam Sunan Doe

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1021.685 KB) | DOI: 10.58330/inovasia.v2i1.182

Abstract

Hospitals as health service institutions must provide services to the community in the local and international scope. Based on this, in the last few decades the term accreditation has emerged to assess the quality of an organization including hospitals. The state has an obligation to meet the public's need for health services which is regulated in the 1945 Constitution of the Republic of Indonesia, as well as supporting laws and regulations, namely Law Number 25 concerning Public Services, Law Number 36 of 2009 concerning health, Law Number 44 of 2009 concerning Hospitals, and Law 37 of 2008 concerning the Ombudsman of the Republic of Indonesia. to find out about matters relating to hospital accreditation and patient safety in order to improve the quality of health services in hospitals. The research design used is data mining. With clustering algorithm. Data taken from opendata.jabarprov https://opendata.jabarprov.go.id/id/dataset/register-rumah-saki-berdasarkan-tipe-dan-class-di-jawa-barat. In data mining, the results show that hospital accreditation in Indonesia is carried out to assess hospital compliance with accreditation standards. Hospital accreditation is linked to quality assessment. However, actually the quality itself is the outcome of the accreditation implementer, while accreditation only assesses whether the service has met the standard or not without measuring the quality of the service. Hospital accreditation is an acknowledgment that has been recognized by the government for hospitals because they have met predetermined standards
Co-Authors Bani Nurhakim Khaerul Anam Nurhaeningsih Rizal Rusyana TRI ANANDA WIDYANINGSIH