Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Wilson Panjaitan
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Sistem Monitoring Detak Jantung Menggunakan Pulse Heart Rate Sensor dan Nodemcu Wilson Panjaitan
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 2 (2025): Maret: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i2.712

Abstract

Heart rate is an important indicator of overall heart health. Changes in heart rate can indicate underlying health problems, even before other symptoms appear, especially for the elderly population who are vulnerable to cardiovascular issues such as heart disease, stroke, and arrhythmia. Therefore, a heart rate monitoring device is needed that can monitor heart rate and allow early detection of such cardiovascular disorders. Along with modern technological advancements, heart rate monitoring devices are now available for everyone, but heart signal diagnosis still needs to be conducted by doctors or medical professionals. A heart monitor can be made using a heart rate sensor attached to a NodeMCU device. The Pulse Sensor, which functions to detect human heartbeats, can be placed in three measurement locations: on the finger, hand, or forehead. The data is then processed by NodeMCU, and the measurement results, which are Beats Per Minute (BPM), will be displayed on a website and stored in a database. The test results show that the average heart rate measurement using the device is 74 BPM, while the manual measurement is 74 BPM, with an accuracy of 97.74%, and it takes 60 seconds to display the average Beats Per Minute (BPM).
PENERAPAN DATA MINING DALAM MENENTUKAN PRIORITAS TINDAKAN MEDIS PASIEN BPJS BERDASARKAN RIWAYAT MEDIS MENGGUNAKAN METODE KNN Wilson Panjaitan; Dicky Apdillah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6368

Abstract

The rapid development of information technology has encouraged the healthcare sector to utilize data as a basis for faster, more precise, and effective decision-making. One of the largest data sources in the healthcare sector is BPJS (Social Security Administration for Health) patient data, which includes medical history, examination results, previous medical procedures, and medication use. This data is a critical asset that, when properly managed and analyzed, can assist hospitals and healthcare facilities in determining appropriate medical interventions for patients. The purpose of this study was to design and develop an application for prioritizing medical procedures for BPJS patients in, using the KNN method, the PHP programming language, and a MySQL database. The data used in this study were BPJS patient visit data. Based on test results at various levels of K=3, K=5, and K=7, the data demonstrated very high consistency. Even though the K value (number of nearest neighbors) was increased from 3 to 7, the final classification results still showed a predominance of the Medium Priority category. With a KNN-based classification system, medical personnel no longer need to manually assess each patient.
Co-Authors Dicky Apdillah