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All Journal Syntax Idea Jurnal Sistem Informasi dan Informatika (SIMIKA)
Reza Rahman
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering

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Analisis Pemanfaatan Pelayanan Rawat Jalan Peserta JKN Dengan Diagnosa Tuberculosis Paru di DKI Jakarta Tahun 2019 : Analisis Data Sampel BPJS Kesehatan Tahun 2022 Reza Rahman; Budi Hidayat
Syntax Idea 1485-1497
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v6i3.3131

Abstract

The number of cases of pulmonary tuberculosis based on data from the Central Statistics Agency in DKI Jakarta in 2020-2021 has increased. Pulmonary tuberculosis is an infectious disease that currently causes a high mortality rate. In the implementation of National Health Insurance (JKN), pulmonary tuberculosis is a type of disease that is guaranteed and can be treated with FKTP services. This study uses BPJS Health tertiary data with Poisson regression modeling and Negative Binomial regression which aims to determine the description of visits by JKN participant tuberculosis sufferers to outpatient services in DKI Jakarta. The subjects of the research were all patients diagnosed with pulmonary TB who were undergoing outpatient treatment based on BPJS Health contextual tuberculosis sample data. The results of this study showed that there were 625 participants diagnosed with pulmonary TB, the majority of whom were male, in the adult age category, and in the Contribution Assistance Recipient (PBI) segment. From the modeling carried out, it was found that 8 (eight) variables significantly influenced the utilization of outpatient health services in DKI Jakarta with the age variable in the elderly group (>55 years) being most dominantly related to the utilization of outpatient services. Service flow as well as promotive and preventive efforts in the target population involving cross-sectors play an important role in treating pulmonary tuberculosis. Based on the description above, research was conducted with the aim of finding out what factors influence the utilization of health services for tuberculosis sufferers of JKN participants in DKI Jakarta.
PENGELOMPOKAN TRANSAKSI KARTU DEBIT PERBANKAN MENGGUNAKAN ALGORITMA K-MEANS Iwan Irawan; Reza Rahman; Arief Wibowo
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3558

Abstract

One of bank customers' most widely used non-cash payment methods is making payments to merchants using debit cards. The data generated from these transactions can be utilized effectively by banks. This study analyzes customer spending habits through debit card transactions, employing a data mining technique called K-means clustering. By identifying patterns in customer transactions, the research aims to assist business units in developing targeted product strategies. The analysis determined that four clusters were optimal, resulting in a tightly grouped dataset with an average distance of 5.764 from the respective cluster centers. Grouping nominal transactions based on the date and time of the transaction can provide valuable insights for bank management when considering customer fund allocation.
Co-Authors Arief Wibowo Budi Hidayat Budi Hidayat Iwan Irawan