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All Journal JURNAL ILMIAH SIMANTEK jurnal syntax admiration Jurnal Pengabdian Masyarakat (ABDIRA) Bulletin of Information Technology (BIT) Bulletin of Multi-Disciplinary Science and Applied Technology Jurnal Informatika dan Perancangan Sistem (JIPS) Journal Of Computer Engineering And Information Technology JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi
RAHELIYA BR GINTING
INSTITUT TEKNOLOGI DAN BISNIS INDONESIA
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Alat Pendeteksi Detak Jantung Menggunakan Mikrokontroler ESP32 Dan Sensor Pulse Berbasis Website Helisati Putra Hulu; April Imelda Putri Hulu; Fazasokhi Giawa; Sukur Hati Harefa; Raheliya Br Ginting
JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol. 1 No. 4 (2026): Januari 2026
Publisher : Institut Teknologi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In today's digital era, the demand for advanced and user-friendly healthcare devices is increasing. This research aims to design and develop a real-time heart rate detection device using an ESP32 microcontroller and a pulse sensor connected to a web platform. This device is designed to continuously monitor the user's heart rate and provide online data access, facilitating easier health monitoring.The methodology used in this research includes the design of hardware and software. The ESP32 microcontroller was chosen for its advantages in Wi-Fi connectivity and good data processing capabilities. A pulse sensor is used to detect the heart rate, while a web platform is developed to display real-time heart rate data. The research results show that this custom-built heart rate detection device can effectively detect and display real-time heart rate data. The data sent to the web platform can be accessed via computer or smartphone, making it easier for users or medical personnel to monitor health conditions remotely. In summary, this heart rate detector based on the ESP32 microcontroller and pulse sensor successfully meets the need for real-time heart rate monitoring and can be accessed via the web. Further development can be done to improve accuracy and integration with other medical systems.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode WASPAS Raheliya Br Ginting; Dewi Yohana Br Ginting; Dito Putro Utomo
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1399

Abstract

Human resources or employees in a company organization are very important to support the progress and quality of the company in achieving its goals. Having employees with good performance in a company does not just come from the employees themselves but there must also be a role from the company. Providing rewards to employees is one factor that can be used as a basis for providing motivation to employees. Performance appraisal is a process of measuring the results of work provided by employees, where this assessment will later provide results on who the best employees have the best performance to get rewards from the company. The problem that often occurs is that selecting the best employees or evaluating employee performance is based on subjective factors, which of course is detrimental to other employees and also has an impact on the company. Decision Support System (DSS) is a process that is part of the information system. Where the decision support system will assist in the process of completing semi-structured data processing. The Weight Aggregate Sum Product Assessment (WASPAS) method is a method that can be used in making decisions that have many attributes or criteria or is also known as MCDM (Multi Criteria Decision Making). The method used in this research is the WASPAS method which can provide the best alternative results, namely alternative A6 with the name "Tian" with a Qi value = 0.9815 which was selected as the best employee
Co-Authors April Imelda Putri Hulu ASPRINA BR SURBAKTI Asprina Br Surbakti, Asprina Br Br Ginting, Lastri Marsely Calvin Pratama Cinta Pandia David J.M Sembiring David JM. Sembiring David JM. Sembiring Delya Putri Maharani Dewi Yohana Br Ginting Dinda Fadila Erta Susanti Fazasokhi Giawa Helisati Putra Hulu Ita Margaretta Br. Tarigan Kaban, Debi Yolanda Meiliyani Br Ginting Meiliyani Br. Ginting Meiliyani Br. Ginting Meiliyani BR. Ginting Melia Pradita Melin Destari Nirwan Sinuhaji Novita Permata Dewi Safarul Ilham SHINTA PUTRI RAHAYU SINEK MEHULI BR PA Siti Br Jamilah Siti Jamilah Br Tarigan Siti Jamilah Br. Tarigan Sukur Hati Harefa Surizar Rahmi Danur